{
    "id": 40323,
    "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/",
    "page_type": "Gallery",
    "title": "Applied Science",
    "description": "Discovering innovative and practical uses of Earth observations\n\nappliedsciences.nasa.gov",
    "release_date": "2017-03-30T00:00:00-04:00",
    "update_date": "2017-04-12T00:00:00-04:00",
    "main_image": {
        "id": 388787,
        "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030400/a030496/current_earth_observing_fleet_print.jpg",
        "filename": "current_earth_observing_fleet_print.jpg",
        "media_type": "Image",
        "alt_text": "HD resolution movies of NASA's Earth Observing fleet.",
        "width": 1024,
        "height": 576,
        "pixels": 589824
    },
    "media_groups": [
        {
            "id": 371154,
            "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/#media_group_371154",
            "widget": "Basic text (large)",
            "title": "Overview",
            "caption": "",
            "description": "Discovering innovative and practical uses of Earth observations\n\n<a href=\"https://appliedsciences.nasa.gov\">appliedsciences.nasa.gov</a>",
            "items": [],
            "extra_data": {}
        },
        {
            "id": 371155,
            "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/#media_group_371155",
            "widget": "Card gallery",
            "title": "Overview",
            "caption": "",
            "description": "NASA’s fleet of satellites provide freely-available information about Earth’s land, water, and environment.",
            "items": [
                {
                    "id": 409664,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30496,
                        "url": "https://svs.gsfc.nasa.gov/30496/",
                        "page_type": "Hyperwall Visual",
                        "title": "Earth Observing Fleet",
                        "description": "Like orbiting sentinels, NASA’s Earth-observing satellites vigilantly monitor our planet’s ever-changing pulse from their unique vantage points in orbit. This animation shows the orbits of all of the current satellite missions. The flight paths are based on actual orbital elements. These missions—many joint with other nations and/or agencies—are able to collect global measurements of rainfall, solar irradiance, clouds, sea surface height, ocean salinity, and other aspects of the environment. Together, these measurements help scientists better diagnose the “health” of the Earth system.This animation will be regularly updated to show the orbits of the current earth observing fleet. This most recent version, published in March 2017, includes the CYGNSS constellation and DSCOVR at L1. Visit the original page here.Previous versions from recent years include:entry 4274 a February 2015 version including SMAPentry 3996 a spring 2014 version including GPM entry 4070 a May 2013 version which added Landsat-8entry 3892 a Dec 2011 version which added Suomi NPP and Aquariusentry 3725 a version from June 2010 || ",
                        "release_date": "2015-03-17T00:00:00-04:00",
                        "update_date": "2025-03-02T23:56:45.408182-05:00",
                        "main_image": {
                            "id": 388787,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030400/a030496/current_earth_observing_fleet_print.jpg",
                            "filename": "current_earth_observing_fleet_print.jpg",
                            "media_type": "Image",
                            "alt_text": "HD resolution movies of NASA's Earth Observing fleet.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409665,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30763,
                        "url": "https://svs.gsfc.nasa.gov/30763/",
                        "page_type": "Hyperwall Visual",
                        "title": "Blue Marble 2015",
                        "description": "The Blue Marble, October 2015 || R_earth_viirs_1080p.00001_print.jpg (1024x576) [117.4 KB] || R_earth_viirs_1080p.00001_searchweb.png (180x320) [56.3 KB] || R_earth_viirs_1080p.00001_thm.png (80x40) [4.3 KB] || R_earth_viirs_1080p.mp4 (1920x1080) [20.1 MB] || R_earth_viirs_720p.mp4 (1280x720) [11.0 MB] || R_earth_viirs_720p.webm (1280x720) [5.3 MB] || R_Earth_fast_2304p.mp4 (4096x2304) [52.5 MB] || R_earth_viirs_360p.mp4 (640x360) [3.6 MB] || fast (4104x2304) [32.0 KB] || R_earth_viirs_4k.mp4 (4104x2304) [52.5 MB] || ",
                        "release_date": "2016-04-05T00:00:00-04:00",
                        "update_date": "2024-10-13T00:29:49.843815-04:00",
                        "main_image": {
                            "id": 425599,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030763/R_earth_viirs_1080p.00001_print.jpg",
                            "filename": "R_earth_viirs_1080p.00001_print.jpg",
                            "media_type": "Image",
                            "alt_text": "The Blue Marble, October 2015",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409666,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30082,
                        "url": "https://svs.gsfc.nasa.gov/30082/",
                        "page_type": "Hyperwall Visual",
                        "title": "Rotating Earth at Night",
                        "description": "This new space-based view of Earth’s city lights is a composite assembled from data acquired by the Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. The data was acquired over nine days in April 2012 and thirteen days in October 2012. It took the satellite 312 orbits and 2.5 terabytes of data to get a clear shot of every parcel of Earth’s land surface and islands. This new data was then mapped over existing MODIS Blue Marble imagery to provide a realistic view of the planet. The view was made possible by the “day-night band” of Suomi NPP’s Visible Infrared Imaging Radiometer Suite. VIIRS detects light in a range of wavelengths from green to near-infrared and uses “smart” light sensors to observe dim signals such as city lights, auroras, wildfires, and reflected moonlight. This low-light sensor can distinguish night lights tens to hundreds of times better than previous satellites. || ",
                        "release_date": "2013-10-04T14:00:00-04:00",
                        "update_date": "2025-01-06T01:57:26.369292-05:00",
                        "main_image": {
                            "id": 428528,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030082/viirs_dnb_night_lights_rotating_earth_print.jpg",
                            "filename": "viirs_dnb_night_lights_rotating_earth_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Earth at night created with Suomi NPP data from April and October 2012.",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409667,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30065,
                        "url": "https://svs.gsfc.nasa.gov/30065/",
                        "page_type": "Hyperwall Visual",
                        "title": "NASA Earth Science Division Missions",
                        "description": "In order to study the Earth as a whole system and understand how it is changing, NASA develops and supports a large number of Earth observing missions. These missions provide Earth science researchers the necessary data to address key questions about global climate change.",
                        "release_date": "2013-07-22T14:00:00-04:00",
                        "update_date": "2025-06-16T15:13:22.690502-04:00",
                        "main_image": {
                            "id": 1156396,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030065/Earth-Fleet-Chart-06102025.png",
                            "filename": "Earth-Fleet-Chart-06102025.png",
                            "media_type": "Image",
                            "alt_text": "Earth Science Current Missions",
                            "width": 3840,
                            "height": 2160,
                            "pixels": 8294400
                        }
                    }
                }
            ],
            "extra_data": {}
        },
        {
            "id": 371156,
            "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/#media_group_371156",
            "widget": "Card gallery",
            "title": "Wildland Fires",
            "caption": "",
            "description": "The Wildland Fires Application area promotes the use of Earth observations and models focused on addressing issues related to wildland fire in support of management strategies, business practices, and policy analysis and decisions. The Wildland Fire applications includes support of all aspects of pre, active and post-fire analysis tools that use Earth observations and models to enhance fuel load estimates, fuel treatment planning, risk assessment, air quality, insect infestations, burned area remediation and rehabilitation, and other topics that lead to improved land-management decisions.",
            "items": [
                {
                    "id": 409668,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3868,
                        "url": "https://svs.gsfc.nasa.gov/3868/",
                        "page_type": "Visualization",
                        "title": "Global Fire Observations and MODIS NDVI",
                        "description": "This visualization leads viewers on a narrated global tour of fire detections beginning in July 2002 and ending July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent. The tour then shifts to Asia where large numbers of agricultural fires are visible first in China in June 2004, then across a huge swath of Europe and western Russia in August, and then across India and Southeast Asia through the early part of 2005. It moves next to Africa, the continent that has more abundant burning than any other. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. In what's a fairly average burning season, the visualization shows a huge outbreak of savanna fires during the dry season in Central Africa in July, August, and September of 2006, driven mainly by agricultural activities but also by the fact that the region experiences more lightning than anywhere else in the world. The tour shifts next to South America where a steady flickering of fire is visible across much of the Amazon rainforest with peaks of activity in September and November of 2009. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring. It concludes in North America, a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible. More information on the Fire Information for Resource Management System (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ",
                        "release_date": "2011-10-18T01:00:00-04:00",
                        "update_date": "2025-02-02T00:01:39.789904-05:00",
                        "main_image": {
                            "id": 481530,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003868/africaNDVIPrintRes.1996_web.png",
                            "filename": "africaNDVIPrintRes.1996_web.png",
                            "media_type": "Image",
                            "alt_text": "A 10 year sequence of global fires as seen by NASA's MODIS instruments.",
                            "width": 180,
                            "height": 320,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409669,
                    "type": "media_group",
                    "extra_data": null,
                    "title": "Around the World with Aerosols and Fires",
                    "caption": "Tiny solid and liquid particles suspended in the atmosphere are called aerosols. Windblown dust, sea salts, volcanic ash, smoke from wildfires, and pollution from factories are all examples of aerosols. Depending upon their size, type, and location, aerosols can either cool the surface, or warm it. They can help clouds to form, or they can inhibit cloud formation. And if inhaled, some aerosols can be harmful to people’s health. To study aerosols, researchers from NASA’s Global Modeling and Assimilation Office ran a simulation of the atmosphere that captured how winds transport aerosols around the world. The simulation shows sea salt and dust swirl inside cyclones, sulfates stream from volcanoes, and carbon burst from fires (red dots) from May 2005 to May 2007, produced by the Goddard Earth Observing System Model Version 5, or GEOS-5. In general, dust appears in shades of orange, sea salt appears in shades of blue, sulfates appear white, and carbon appears in shades of green. Such simulations allow scientists to better understand how these tiny particulates travel in the atmosphere and influence weather and climate.",
                    "instance": {
                        "id": 428684,
                        "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030017/geos5_fires_tour_svs030017_searchweb.png",
                        "filename": "geos5_fires_tour_svs030017_searchweb.png",
                        "media_type": "Image",
                        "alt_text": "This projection of the aerosols simulation onto a rotating globe tracks wildfires and human-initiated burning (red-yellow dots) as detected by NASA's MODIS instrument aboard the Terra and Aqua satellites.",
                        "width": 180,
                        "height": 320,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409670,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4484,
                        "url": "https://svs.gsfc.nasa.gov/4484/",
                        "page_type": "Visualization",
                        "title": "Global Fires 2015-2016 Visualizations",
                        "description": "Global Fires 2015-2016, with Dates and Colorbar || global_fires_statelines_0000_print.jpg (1024x576) [73.9 KB] || global_fires_statelines_0000_searchweb.png (320x180) [41.4 KB] || global_fires_statelines_0000_thm.png (80x40) [4.6 KB] || global_fires_statelines (1920x1080) [0 Item(s)] || global_fires_statelines_1080p30.mp4 (1920x1080) [8.5 MB] || global_fires_statelines_1080p30.webm (1920x1080) [2.3 MB] || global_fires_statelines_1080p30.mp4.hwshow [197 bytes] || ",
                        "release_date": "2016-08-16T00:00:00-04:00",
                        "update_date": "2025-01-05T23:08:31.987113-05:00",
                        "main_image": {
                            "id": 421883,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004484/global_fires_statelines_0000_print.jpg",
                            "filename": "global_fires_statelines_0000_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Global Fires 2015-2016, with Dates and Colorbar",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409671,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30797,
                        "url": "https://svs.gsfc.nasa.gov/30797/",
                        "page_type": "Hyperwall Visual",
                        "title": "Landsat 8 Views the Soberanes Fire",
                        "description": "By chance, Landsat 8 acquired imagery of the Soberanes fire burning near the California coast between Monterey and Big Sur a few hours after it started on July 22, 2016. Seven days later, on July 29, the fire had grown so much that the surrounding area is almost entirely covered by smoke. This set of Landsat images shows the region on [left to right] July 22, July 29, and August 8 in true color (using bands 4, 3, and 2) and also in shortwave and near-infrared light (using bands 7, 5, and 4). Active fires, which can be detected based on calculations using the shortwave infrared and near-infrared bands, are shown in red on the true color images. The shortwave and near-infrared images penetrate the smoke to provide a clearer view of the burn scar. In this false-color view, active fires are bright red and orange, scarred land is dark red, and intact vegetation and human development are shades of green. || ",
                        "release_date": "2016-08-08T00:00:00-04:00",
                        "update_date": "2024-10-10T00:26:40.164820-04:00",
                        "main_image": {
                            "id": 422061,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030797/soberanes_fire_landsat_432_vs_754_print.jpg",
                            "filename": "soberanes_fire_landsat_432_vs_754_print.jpg",
                            "media_type": "Image",
                            "alt_text": "An animation compares Infrared band and true color images from Landsat-8 to reveal details of the Soberanes fire",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409672,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4407,
                        "url": "https://svs.gsfc.nasa.gov/4407/",
                        "page_type": "Visualization",
                        "title": "Monthly burned area from the Global Fire Emissions Database (GFED)",
                        "description": "The final animation of the monthly burned area percent shown in the Robinson projection with a colorbar and date overlay || comp_burned_area_pct.2234_print.jpg (1024x576) [128.4 KB] || comp_burned_area_pct.2234_searchweb.png (320x180) [78.4 KB] || comp_burned_area_pct.2234_thm.png (80x40) [6.4 KB] || comp_burned_area_pct.2234_web.png (320x180) [78.4 KB] || comp_burned_area_pct_1080p30.mp4 (1920x1080) [44.1 MB] || comp_burned_area_pct_1080p30.webm (1920x1080) [8.4 MB] || robinson_final (1920x1080) [0 Item(s)] || Comp_burned_area_pct_720p30.mp4 (1280x720) [26.2 MB] || robinson_final (3840x2160) [0 Item(s)] || comp_burned_area_4407.key [29.7 MB] || comp_burned_area_4407.pptx [27.1 MB] || comp_burned_area_pct_4k_2160p30.mp4 (3840x2160) [142.3 MB] || comp_burned_area_pct_1080p30.mp4.hwshow [228 bytes] || ",
                        "release_date": "2015-12-15T11:00:00-05:00",
                        "update_date": "2025-01-05T00:06:55.995176-05:00",
                        "main_image": {
                            "id": 437022,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004407/comp_burned_area_pct.2234_print.jpg",
                            "filename": "comp_burned_area_pct.2234_print.jpg",
                            "media_type": "Image",
                            "alt_text": "The final animation of the monthly burned area percent shown in the Robinson projection with a colorbar and date overlay",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409673,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 12056,
                        "url": "https://svs.gsfc.nasa.gov/12056/",
                        "page_type": "Produced Video",
                        "title": "Carbon Dioxide Sources From a High-Resolution Climate Model",
                        "description": "Animation of carbon dioxide released from two different sources: fires (biomass burning) and massive urban centers known as megacities.  The animation covers a five day period in June 2006.  The model is based on real emission data and is then set to run so that scientists can observe how the greenhouse gas behaves once it has been emitted. || tagged_co2_global_loop_appletv_print.jpg (1024x576) [102.9 KB] || tagged_co2_global_loop_appletv_searchweb.png (320x180) [75.4 KB] || tagged_co2_global_loop_appletv_thm.png (80x40) [6.0 KB] || tagged_co2_global_loop_appletv.m4v (1280x720) [25.1 MB] || tagged_co2_global_loop_youtube_hq.mov (1920x1080) [80.0 MB] || tagged_co2_global_loop.webm (960x540) [14.5 MB] || tagged_co2_global_loop_ipod_sm.mp4 (320x240) [7.8 MB] || tagged_co2_global_loop.mpeg (1280x720) [172.7 MB] || tagged_co2_global_loop_prores.mov (1280x720) [707.1 MB] || ",
                        "release_date": "2015-11-12T11:00:00-05:00",
                        "update_date": "2023-05-03T13:49:08.159882-04:00",
                        "main_image": {
                            "id": 437741,
                            "url": "https://svs.gsfc.nasa.gov/vis/a010000/a012000/a012056/tagged_co2_global_loop_appletv_print.jpg",
                            "filename": "tagged_co2_global_loop_appletv_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Animation of carbon dioxide released from two different sources: fires (biomass burning) and massive urban centers known as megacities.  The animation covers a five day period in June 2006.  The model is based on real emission data and is then set to run so that scientists can observe how the greenhouse gas behaves once it has been emitted.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409674,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30627,
                        "url": "https://svs.gsfc.nasa.gov/30627/",
                        "page_type": "Hyperwall Visual",
                        "title": "Fires at Night in the U.S. Northwest",
                        "description": "Fires at Night in the U.S. Northwest || nw_fires_at_night_preview.jpg (1024x575) [5.5 MB] || nw_fires_at_night_preview_thm.png (80x40) [24.2 KB] || nw_fires_at_night_preview_searchweb.png (180x320) [136.1 KB] || nw_fires_at_night_ae_1080p.mp4 (1920x1080) [7.4 MB] || nw_fires_at_night_ae_720p.mp4 (1280x720) [3.8 MB] || nw_fires_at_night_ae_720p.webm (1280x720) [4.7 MB] || nw_fires_at_night_2304p.mp4 (4096x2304) [22.8 MB] || nw_fires_at_night_ae_360p.mp4 (640x360) [1.2 MB] || 4104x2304_16x9_30p (4104x2304) [64.0 KB] || nw_fires_at_night_30627.pptx [30.2 MB] || nw_fires_at_night_30627.key [32.0 MB] || ",
                        "release_date": "2015-09-18T00:00:00-04:00",
                        "update_date": "2024-10-07T00:00:03.621668-04:00",
                        "main_image": {
                            "id": 432316,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030627/nw_fires_at_night_preview.jpg",
                            "filename": "nw_fires_at_night_preview.jpg",
                            "media_type": "Image",
                            "alt_text": "Fires at Night in the U.S. Northwest",
                            "width": 1024,
                            "height": 575,
                            "pixels": 588800
                        }
                    }
                },
                {
                    "id": 409675,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30194,
                        "url": "https://svs.gsfc.nasa.gov/30194/",
                        "page_type": "Hyperwall Visual",
                        "title": "Burn Recovery in Yellowstone",
                        "description": "In the summer of 1988, lightning- and human-ignited fires consumed vast stretches of Yellowstone National Park. By the time the first snowfall extinguished the last flames in September, 793,000 of the park’s 2,221,800 acres had burned.This series of images shows the scars left in the wake of the western Yellowstone fires and the slow recovery in the twenty years that followed. Taken by Landsat-5, the images were made with a combination of visible and infrared light (green, short-wave infrared, and near infrared) to highlight the burned area and changes in vegetation. In the years that follow, the burn scar fades progressively. On the ground, grasses and wildflowers sprung up from the ashes and tiny pine trees took root and began to grow. Though changes did occur between 1988 and 2010, recovery has been slow. In 2010, the burned area is still clearly discernible.Images acquired by Landsat satellites Reference: NASA’s Earth Observatory || ",
                        "release_date": "2013-10-17T12:00:00-04:00",
                        "update_date": "2024-10-10T00:19:52.359226-04:00",
                        "main_image": {
                            "id": 429111,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030100/a030194/woc_BurnRecovery_Yellowstone_web.png",
                            "filename": "woc_BurnRecovery_Yellowstone_web.png",
                            "media_type": "Image",
                            "alt_text": "Landsat images show recovery after 1988 Yellowstone fires, 1987 to 2011.",
                            "width": 320,
                            "height": 180,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409676,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30195,
                        "url": "https://svs.gsfc.nasa.gov/30195/",
                        "page_type": "Hyperwall Visual",
                        "title": "Night Views of Fires in Siberia",
                        "description": "The vast majority of Russian wildfires occur in Siberia, generally along the southern border. This year’s blazes have followed the typical pattern and occurred primarily east of the Urals. This pair of images from August 3, 2012 shows fires using two different instruments. The Suomi National Polar-orbiting Partnership  (NPP) satellite carries an instrument called the “day-night band,” designed to be sensitive to such low levels of visible light that it can detect wildfires in the dark of the night. On August 3, 2012, the Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi NPP acquired the right image of wildfires blazing in eastern Siberia. The white outlines are the actively burning perimeters of several fires. || ",
                        "release_date": "2013-10-17T12:00:00-04:00",
                        "update_date": "2024-10-10T00:19:52.517805-04:00",
                        "main_image": {
                            "id": 429141,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030100/a030195/russia_fires_viirs_dnb_2012216_print.jpg",
                            "filename": "russia_fires_viirs_dnb_2012216_print.jpg",
                            "media_type": "Image",
                            "alt_text": "A nighttime view from space reveals actively burning fires.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409677,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4093,
                        "url": "https://svs.gsfc.nasa.gov/4093/",
                        "page_type": "Visualization",
                        "title": "Mapping the Fire Intensity Global Record (2000 through 2013)",
                        "description": "This visualization displays the MODIS Climate Modeling Grid (CMG) Mean Fire Radiative Power (FRP). The CMG fire products incorporate MODIS active fire data into gridded statistical summaries of fire pixel information intended for use in regional and global modeling. The products are currently generated at 0.5 degree spatial resolution. Many of the lower intensity fires shown in red were prescribed fires, lit for either agricultural or ecosystem management purposes. Orange indicates fires that were more intense with the most intense FRP being shown in yellow. Notice, many of the most intense fires occurred in higher latitudes. || ",
                        "release_date": "2013-08-08T13:00:00-04:00",
                        "update_date": "2024-10-09T00:03:34.055671-04:00",
                        "main_image": {
                            "id": 463435,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004000/a004093/globalMFRP2000_2013400.jpg",
                            "filename": "globalMFRP2000_2013400.jpg",
                            "media_type": "Image",
                            "alt_text": " This visual shows the global view of Mean Fire Radiative Power (FRP) from the MODIS Climate Modeling Grid fire products. Agricultural and prescribed fires are shown in dark red. More intense fires are shown in orange. Regions where the gridded statistical summaries show the most intense fires are shown in bright yellow. ",
                            "width": 1920,
                            "height": 1080,
                            "pixels": 2073600
                        }
                    }
                }
            ],
            "extra_data": {}
        },
        {
            "id": 371157,
            "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/#media_group_371157",
            "widget": "Tile gallery",
            "title": "Health & Air Quality",
            "caption": "",
            "description": "The Health & Air Quality Applications area encourages the use of Earth observations in air quality management and public health, particularly involving environmental health and infectious diseases. The area addresses issues of toxic and pathogenic exposure and health-related hazards and their effects for risk characterization and mitigation. The area promotes uses of Earth observations data and models regarding implementation of air quality standards, policy, and regulations for economic and human welfare. The area also addresses effects of climate change on air quality and public health to support managers, policy makers, and ultimately the public with health-related decisions and actions.",
            "items": [
                {
                    "id": 409678,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 11579,
                        "url": "https://svs.gsfc.nasa.gov/11579/",
                        "page_type": "Produced Video",
                        "title": "NASA Images Highlight U.S. Air Quality Improvement – Release Materials",
                        "description": "Anyone living in the U.S. for the past decade may have noticed a change in the air. The change is apparent in NASA satellite images that demonstrate the country's reduction of air pollution, or more specifically, nitrogen dioxide.Nitrogen dioxide can impact the respiratory system, and it also contributes to the formation of other pollutants including ground-level ozone and particulates. The gas is produced primarily during the combustion of gasoline in vehicle engines and coal in power plants. Air pollution has decreased even though population and the number of cars on the roads have increased. The shift is the result of regulations, technology improvements and economic changes, scientists say.This following visualizations show tropospheric column concentrations of nitrogen dioxide as detected by the Ozone Monitoring Instrument on NASA's Aura satellite. Blue and green denote lower concentrations and orange and red areas denote higher concentrations, ranging from 1e+15 to 5e+15 molecules per square centimeter, respectively. || ",
                        "release_date": "2014-06-26T06:00:00-04:00",
                        "update_date": "2024-10-10T00:16:15.283221-04:00",
                        "main_image": {
                            "id": 453811,
                            "url": "https://svs.gsfc.nasa.gov/vis/a010000/a011500/a011579/11579-US_youtube_hq_web.png",
                            "filename": "11579-US_youtube_hq_web.png",
                            "media_type": "Image",
                            "alt_text": "United States\rThis visualization shows tropospheric column concentrations of nitrogen dioxide across the U.S. as detected by the Ozone Monitoring Instrument on NASA's Aura satellite, averaged yearly from 2005-2011. \r",
                            "width": 320,
                            "height": 180,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409679,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30014,
                        "url": "https://svs.gsfc.nasa.gov/30014/",
                        "page_type": "Hyperwall Visual",
                        "title": "Nitrogen Dioxide from Aura/OMI, 2013-2014",
                        "description": "Major sources of tropospheric NO2 include industrial emissions, automobile traffic, forest and brush fires, microbiological soil emissions, lightning, and aircraft. More than half of the total NO2 emissions are estimated to be anthropogenic, mainly from the burning of fossil fuels for energy production, transportation, and industrial activities. NO2 has a relatively short lifetime (about a day) and is therefore concentrated near its sources. || ",
                        "release_date": "2013-03-18T00:00:00-04:00",
                        "update_date": "2024-10-13T23:25:36.885094-04:00",
                        "main_image": {
                            "id": 427753,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030014/omi_trop_no2_2048_00001_searchweb.png",
                            "filename": "omi_trop_no2_2048_00001_searchweb.png",
                            "media_type": "Image",
                            "alt_text": "An older sequence of daily images from September 1, 2009 - August 31, 2010, shows the global perspective of tropospheric nitrogen dioxide (NO2) as measured by the Ozone Measuring Instrument (OMI) flying aboard NASA's Aura spacecraft. ",
                            "width": 320,
                            "height": 180,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409680,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4447,
                        "url": "https://svs.gsfc.nasa.gov/4447/",
                        "page_type": "Visualization",
                        "title": "KORUS-AQ: Surface Ozone Levels Over the Korean Peninsula in June 2013",
                        "description": "These visuals were created in anticipation of the 2016 Korean United States Air Quality study (KORUS-AQ) field campaign which will combine observations from aircraft, satellties, ships and ground stations with air quality models to assess and monitor air quality acorss urban, rural and coastal areas.Ozone gas and particle pollution are two of the main factors that contribute to poor air quality around the world.  While ozone gas located high in the stratosphere protects us from the sun’s harmful UV rays, pollution from cars and other human emissions near ground level can cause chemical reactions that lead to ozone formation near the surface. Breathing in high levels of ozone is also bad for human health, causing lung diseases and health impacts on sensitive populations such as children, the elderly and people with asthma. These visuals are showing the ozone that formed near the surface, or 'surface ozone', over the Korean peninsula in June 2013 according to the GEOS-5 Nature Run chemistry model data.  Peak ozone in Korea occurs between April and June.Since Seoul is located on a peninsula, the metropolitan area and the pollution produced here are separated from other sources of emissions. In addition, Seoul’s human-produced emissions are concentrated in its urban areas but are surrounded by more rural agricultural areas. The contrast between urban and rural zones on the peninsula allow scientists to study and differentiate human and naturally-produced emissions and better understand how they interact chemically.  Understanding the chemical reactions between urban and agricultural emissions is extremely important for improving models that forecast air quality. || ",
                        "release_date": "2016-05-06T00:00:00-04:00",
                        "update_date": "2025-01-05T00:07:13.513844-05:00",
                        "main_image": {
                            "id": 424870,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004447/O3_L72_betterOutlines_1080p30.00034_print.jpg",
                            "filename": "O3_L72_betterOutlines_1080p30.00034_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Surface ozone over Korean peninsula in June 2013.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409681,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3783,
                        "url": "https://svs.gsfc.nasa.gov/3783/",
                        "page_type": "Visualization",
                        "title": "Iceland's Eyjafjallajökull Volcanic Ash Plume May 6-8, 2010 - Stereoscopic Version",
                        "description": "During April and May, 2010, the Eyjafjallajökull volcano on Iceland's southern coast erupted, creating an expansive ash cloud that disrupted air traffic throughout Europe and across the Atlantic. This animation shows the flow of this ash cloud for three days in early May on an hourly basis as sensed from a geostationary satellite. The ash cloud heights were determined using an approach developed by NOAA/NESDIS/STAR for the next generation of Geostationary Operational Environmental Satellite (GOES-R). Data from EUMETSAT's Spinning Enhanced Visible and Infrared Imager (SEVIRI) was used as a proxy for GOES-R Advanced Baseline Imager (ABI) data. This data is shown intersecting with the CALIPSO Parallel Attenuated Backscatter curtain on May 6th. In this page the visualization content is offered in two different modes to accommodate stereoscopic systems as: Left and Right Eye separate and Left and Right Eye side-by-side combined on the same frame. || ",
                        "release_date": "2010-10-21T00:00:00-04:00",
                        "update_date": "2024-10-09T16:01:22.308073-04:00",
                        "main_image": {
                            "id": 489466,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003700/a003783/volcanicAsh_comp_L.0413_web.png",
                            "filename": "volcanicAsh_comp_L.0413_web.png",
                            "media_type": "Image",
                            "alt_text": "This set provides stereoscopic visualization content (Left and Right Eye separate) of the composite animation including the foreground, star background and date overlay.",
                            "width": 320,
                            "height": 180,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409682,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 12221,
                        "url": "https://svs.gsfc.nasa.gov/12221/",
                        "page_type": "Produced Video",
                        "title": "Tracking Volcanic Ash With Satellites",
                        "description": "Data from the Suomi NPP satellite is used by NASA scientists to map the full three-dimensional structure of volcanic clouds, allowing a more accurate forecast of where the volcanic ash is spreading.  The information will be used by air traffic management to re-route flights around the hazardous ash clouds, which can damage airplane engines.Complete transcript available.Music: \"Dangerous Clouds\" by Guy & Zab Skornik [SACEM]Watch this video on the NASA Goddard YouTube channel. || 12221_Volcanic_ash_MASTER_youtube_hq.00596_print.jpg (1024x576) [66.2 KB] || 12221_Volcanic_ash_MASTER_youtube_hq.00596_searchweb.png (180x320) [43.0 KB] || 12221_Volcanic_ash_MASTER_youtube_hq.00596_web.png (320x180) [43.0 KB] || 12221_Volcanic_ash_MASTER_youtube_hq.00596_thm.png (80x40) [4.0 KB] || 12221_Volcanic_ash_MASTER_appletv.m4v (1280x720) [60.8 MB] || 12221_Volcanic_ash_MASTER.webm (960x540) [46.9 MB] || 12221_Volcanic_ash_MASTER_appletv_subtitles.m4v (1280x720) [60.8 MB] || 12221_Volcanic_ash_MASTER_ipod_sm.mp4 (320x240) [21.9 MB] || 12221_Volcanic_ash_captions.en_US.srt [2.2 KB] || 12221_Volcanic_ash_captions.en_US.vtt [2.2 KB] || 12221_Volcanic_ash_MASTER_youtube_hq.mov (1920x1080) [149.2 MB] || 12221_Volcanic_ash_MASTER_large.mp4 (1920x1080) [119.1 MB] || 12221_Volcanic_ash_MASTER.mpeg (1280x720) [394.4 MB] || 12221_Volcanic_ash_MASTER_prores.mov (1280x720) [1.6 GB] || ",
                        "release_date": "2016-05-12T13:30:00-04:00",
                        "update_date": "2024-10-06T23:40:55.466912-04:00",
                        "main_image": {
                            "id": 425055,
                            "url": "https://svs.gsfc.nasa.gov/vis/a010000/a012200/a012221/CalbucoEruption_Ash-SO2.2710_print.jpg",
                            "filename": "CalbucoEruption_Ash-SO2.2710_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Visualization of results from a supercomputer model of ash and sulfur dioxide spreading from an eruption of the Calbuco volcano in April 2015.  The supercomputer combines the physics and chemistry of the atmosphere with data from the NASA/NOAA/DoD Suomi NPP satellite to model the full three-dimensional structure of the volcanic cloud.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409683,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30699,
                        "url": "https://svs.gsfc.nasa.gov/30699/",
                        "page_type": "Hyperwall Visual",
                        "title": "Hazardous Air Quality Conditions in Singapore",
                        "description": "Singapore region on September 24 and May 25, 2015, MODIS data only || singapore_smog_24_1080p_print.jpg (1024x576) [279.3 KB] || singapore_smog_24_1080p_searchweb.png (180x320) [129.9 KB] || singapore_smog_24_1080p_thm.png (80x40) [8.0 KB] || singapore_smog_24_1080p.mp4 (1920x1080) [7.0 MB] || singapore_smog_24_720p.mp4 (1280x720) [3.8 MB] || singapore_smog_24_720p.webm (1280x720) [4.6 MB] || singapore_modis_only_24_2304p.mp4 (4096x2304) [20.4 MB] || singapore_smog_24_360p.mp4 (640x360) [1.2 MB] || singapore_smog_ver2a.key [8.5 MB] || singapore_smog_ver2a.pptx [5.8 MB] || ",
                        "release_date": "2015-11-27T00:00:00-05:00",
                        "update_date": "2024-10-10T00:24:33.127482-04:00",
                        "main_image": {
                            "id": 433047,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030699/singapore_smog_24_1080p_print.jpg",
                            "filename": "singapore_smog_24_1080p_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Singapore region on September 24 and May 25, 2015, MODIS data only",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409684,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30593,
                        "url": "https://svs.gsfc.nasa.gov/30593/",
                        "page_type": "Hyperwall Visual",
                        "title": "Malaria Modeling and Transmission",
                        "description": "Remote sensing data products which are input into malaria model. || malaria_modeling_w_sat_data_print.jpg (1024x574) [158.6 KB] || malaria_modeling_w_sat_data.png (4104x2304) [2.7 MB] || malaria_modeling_w_sat_data_web.jpg (319x179) [21.9 KB] || malaria_modeling_w_sat_data_searchweb.png (180x320) [72.7 KB] || malaria_modeling_w_sat_data_thm.png (80x40) [6.6 KB] || malaria_modeling_w_sat_data_30593.pptx [3.1 MB] || malaria_modeling_w_sat_data_30593.key [5.8 MB] || malaria_modeling_w_sat_data.hwshow [222 bytes] || ",
                        "release_date": "2015-04-13T00:00:00-04:00",
                        "update_date": "2024-10-10T00:22:47.425584-04:00",
                        "main_image": {
                            "id": 431574,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030593/malaria_modeling_w_sat_data_print.jpg",
                            "filename": "malaria_modeling_w_sat_data_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Remote sensing data products which are input into malaria model.",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409685,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30824,
                        "url": "https://svs.gsfc.nasa.gov/30824/",
                        "page_type": "Hyperwall Visual",
                        "title": "Mosquito Spread and Health",
                        "description": "Seasonal Occurrence and Abundance of Zika Virus Vector Mosquito || gupta_slide_5_1080p.00001_print.jpg (1024x576) [162.3 KB] || gupta_slide_5_1080p.00001_searchweb.png (180x320) [71.3 KB] || gupta_slide_5_1080p.00001_thm.png (80x40) [6.6 KB] || gupta_slide_5_1080p.mp4 (1920x1080) [6.4 MB] || gupta_slide_5_720p.mp4 (1280x720) [3.4 MB] || gupta_slide_5_720p.webm (1280x720) [3.8 MB] || gupta_slide_5_2304p.mp4 (4096x2304) [19.1 MB] || gupta_slide_5_360p.mp4 (640x360) [1.1 MB] || 4104x2304_16x9_30p (4104x2304) [32.0 KB] || ",
                        "release_date": "2016-10-27T00:00:00-04:00",
                        "update_date": "2024-10-07T00:18:01.726346-04:00",
                        "main_image": {
                            "id": 419170,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030800/a030824/gupta_slide_5_1080p.00001_print.jpg",
                            "filename": "gupta_slide_5_1080p.00001_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Seasonal Occurrence and Abundance of Zika Virus Vector Mosquito ",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409686,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30791,
                        "url": "https://svs.gsfc.nasa.gov/30791/",
                        "page_type": "Hyperwall Visual",
                        "title": "Algae in Lake Okeechobee",
                        "description": "A Landsat image show green streaks of algae in Lake Okeechobee. || okeechobee_algae_20160702_print.jpg (1024x574) [248.0 KB] || okeechobee_algae_20160702.png (4104x2304) [14.9 MB] || okeechobee_algae_20160702_searchweb.png (320x180) [124.0 KB] || okeechobee_algae_20160702_thm.png (80x40) [7.7 KB] || okeechobee_algae_20160702.hwshow [218 bytes] || ",
                        "release_date": "2016-07-20T00:00:00-04:00",
                        "update_date": "2024-10-10T00:26:38.175874-04:00",
                        "main_image": {
                            "id": 422892,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030791/okeechobee_algae_20160702_print.jpg",
                            "filename": "okeechobee_algae_20160702_print.jpg",
                            "media_type": "Image",
                            "alt_text": "A Landsat image show green streaks of algae in Lake Okeechobee.",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409687,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3868,
                        "url": "https://svs.gsfc.nasa.gov/3868/",
                        "page_type": "Visualization",
                        "title": "Global Fire Observations and MODIS NDVI",
                        "description": "This visualization leads viewers on a narrated global tour of fire detections beginning in July 2002 and ending July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent. The tour then shifts to Asia where large numbers of agricultural fires are visible first in China in June 2004, then across a huge swath of Europe and western Russia in August, and then across India and Southeast Asia through the early part of 2005. It moves next to Africa, the continent that has more abundant burning than any other. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. In what's a fairly average burning season, the visualization shows a huge outbreak of savanna fires during the dry season in Central Africa in July, August, and September of 2006, driven mainly by agricultural activities but also by the fact that the region experiences more lightning than anywhere else in the world. The tour shifts next to South America where a steady flickering of fire is visible across much of the Amazon rainforest with peaks of activity in September and November of 2009. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring. It concludes in North America, a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible. More information on the Fire Information for Resource Management System (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ",
                        "release_date": "2011-10-18T01:00:00-04:00",
                        "update_date": "2025-02-02T00:01:39.789904-05:00",
                        "main_image": {
                            "id": 481530,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003868/africaNDVIPrintRes.1996_web.png",
                            "filename": "africaNDVIPrintRes.1996_web.png",
                            "media_type": "Image",
                            "alt_text": "A 10 year sequence of global fires as seen by NASA's MODIS instruments.",
                            "width": 180,
                            "height": 320,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409688,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30637,
                        "url": "https://svs.gsfc.nasa.gov/30637/",
                        "page_type": "Hyperwall Visual",
                        "title": "GEOS-5 Aerosols Simulation for SC 2014",
                        "description": "GEOS-5 aerosols shown at SC 2014. || aerosols-sc2014-preview.jpg (1024x512) [140.7 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png (180x320) [97.6 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_thm.png (80x40) [7.4 KB] || aerosols (1920x1080) [0 Item(s)] || aerosols-sc14.webm (1920x1080) [10.2 MB] || aerosols-sc14.mp4 (1920x1080) [155.5 MB] || 30637_aerosols_sim_1920x1080.mp4 (1920x1080) [204.3 MB] || aerosols (5760x2881) [0 Item(s)] || 30637_aerosols_sim_4K.mp4 (4096x2048) [206.8 MB] || 30637_aerosols_sim_UHD_large.mp4 (3840x2160) [206.3 MB] || 30637_aerosols_sim_1280x720_prores.mov (1280x720) [1.5 GB] || 30637_aerosols_sim_UHD_youtube_hq.mov (3840x2160) [4.0 GB] || 30637_aerosols_sim_UHD.mov (3840x2160) [11.2 GB] || 30637_aerosols_sim_MASTER.mov (5760x2881) [23.5 GB] || ",
                        "release_date": "2014-12-10T00:00:00-05:00",
                        "update_date": "2025-01-06T02:25:05.777504-05:00",
                        "main_image": {
                            "id": 432604,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030637/aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png",
                            "filename": "aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png",
                            "media_type": "Image",
                            "alt_text": "GEOS-5 aerosols shown at SC 2014.",
                            "width": 180,
                            "height": 320,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409689,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30641,
                        "url": "https://svs.gsfc.nasa.gov/30641/",
                        "page_type": "Hyperwall Visual",
                        "title": "Simulated Sulfur Dioxide and Sulfate Aerosols",
                        "description": "Sulfur and Sulfates animation of Sept 1 - Dec 31, 2006 || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z.png (5760x2880) [19.9 MB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg (1024x512) [117.1 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_searchweb.png (180x320) [93.4 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_thm.png (80x40) [7.0 KB] || geos_sulfur_720p.mp4 (1280x720) [95.0 MB] || geos_sulfur_720p.webm (1280x720) [11.6 MB] || sulfur_small_c1440_NR_BETA9-SNAP_20060329_1600z_1080.mp4 (1920x1080) [357.4 MB] || geos_sulfur_2304p.mp4 (4096x2304) [667.5 MB] || ",
                        "release_date": "2014-12-10T10:00:00-05:00",
                        "update_date": "2025-01-05T00:25:25.456840-05:00",
                        "main_image": {
                            "id": 432489,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030641/sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg",
                            "filename": "sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Sulfur and Sulfates animation of Sept 1 - Dec 31, 2006",
                            "width": 1024,
                            "height": 512,
                            "pixels": 524288
                        }
                    }
                },
                {
                    "id": 409690,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30787,
                        "url": "https://svs.gsfc.nasa.gov/30787/",
                        "page_type": "Hyperwall Visual",
                        "title": "NASA Spots Single Methane Leak from Space",
                        "description": "Comparison of detected methane plumes over Aliso Canyon, California, acquired 11 days apart in Jan. 2016 by: (left) NASA's AVIRIS instrument on a NASA ER-2 aircraft at 4.1 miles (6.6 kilometers) altitude and (right) by the Hyperion instrument on NASA's Earth Observing-1 satellite in low-Earth orbit at approximately 700km. || hyperion_methane_aliso_canyon_PIA20716.png (1920x1080) [2.0 MB] || hyperion_methane_aliso_canyon_PIA20716_print.jpg (1024x576) [189.5 KB] || hyperion_methane_aliso_canyon_PIA20716_searchweb.png (320x180) [126.3 KB] || hyperion_methane_aliso_canyon_PIA20716_thm.png (80x40) [8.5 KB] || hyperion_methane_aliso_canyon_PIA20716.hwshow [244 bytes] || ",
                        "release_date": "2016-06-22T00:00:00-04:00",
                        "update_date": "2024-10-10T00:26:36.570197-04:00",
                        "main_image": {
                            "id": 423504,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030787/hyperion_methane_aliso_canyon_PIA20716.png",
                            "filename": "hyperion_methane_aliso_canyon_PIA20716.png",
                            "media_type": "Image",
                            "alt_text": "Comparison of detected methane plumes over Aliso Canyon, California, acquired 11 days apart in Jan. 2016 by: (left) NASA's AVIRIS instrument on a NASA ER-2 aircraft at 4.1 miles (6.6 kilometers) altitude and (right) by the Hyperion instrument on NASA's Earth Observing-1 satellite in low-Earth orbit at approximately 700km. ",
                            "width": 1920,
                            "height": 1080,
                            "pixels": 2073600
                        }
                    }
                },
                {
                    "id": 409691,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3882,
                        "url": "https://svs.gsfc.nasa.gov/3882/",
                        "page_type": "Visualization",
                        "title": "Carbon Monoxide",
                        "description": "AIRS' global carbon monoxide measurements are important because scientists can monitor the transport of fire emissions around the globe on a daily basis. Previously, carbon monoxide measurements came from satellite instruments that saw only part of the Earth each day or from weather balloons. Prior to AIRS, scientists had to integrate those observations with computer models to infer the day-to-day impact of fire emissions on the atmosphere. AIRS provides daily, global coverage. AIRS also measures some of the key atmospheric gases that affect climate, including ozone, methane, and dust and other aerosols.Tropospheric CO abundances are retrieved from the 4.67 m region of AIRS spectra as one of the last steps of the AIRS team algorithm. AIRS' 1600 km cross-track swath and cloud-clearing retrieval capabilities provide daily global CO maps over approximately 70% of the Earth. The streak of red, orange, and yellow across South America, Africa, and the Atlantic Ocean in this animation points to high levels of carbon monoxide, as measured by the Atmospheric Infrared Sounder (AIRS) instrument flying on NASA's Aqua satellite. The carbon monoxide primarily comes from fires burning in the Amazon basin, with some additional contribution from fires in southern Africa. The animation shows carbon monoxide transport sweeping east throughout August, September, and October 2005. || ",
                        "release_date": "2011-11-08T12:00:00-05:00",
                        "update_date": "2025-02-02T22:04:00.127215-05:00",
                        "main_image": {
                            "id": 482200,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003882/airsdatecarbonmono_searchweb.png",
                            "filename": "airsdatecarbonmono_searchweb.png",
                            "media_type": "Image",
                            "alt_text": "The streak of red, orange, and yellow across South America, Africa, and the Atlantic Ocean in this image points to high levels of carbon monoxide on September 30, 2005.This product is available through our Web Map Service.",
                            "width": 180,
                            "height": 320,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409692,
                    "type": "media_group",
                    "extra_data": null,
                    "title": "The trend map of the Persian Gulf shows the change in nitrogen dioxide concentrations from 2005 to 2014.",
                    "caption": "Using new, high-resolution global satellite maps of air quality indicators, NASA scientists tracked air pollution trends over the last decade in various regions and 195 cities around the globe. According to recent NASA research findings, the United States, Europe and Japan have improved air quality thanks to emission control regulations, while China, India and the Middle East, with their fast-growing economies and expanding industry, have seen more air pollution. <p>Scientists examined observations made from 2005 to 2014 by the Ozone Monitoring Instrument aboard NASA's Aura satellite. One of the atmospheric gases the instrument detects is nitrogen dioxide, a yellow-brown gas that is a common emission from cars, power plants and industrial activity. Nitrogen dioxide can quickly transform into ground-level ozone, a major respiratory pollutant in urban smog. Nitrogen dioxide hotspots, used as an indicator of general air quality, occur over most major cities in developed and developing nations.</p>\r<p>The following visualizations include two types of data. The absolute concentrations show the concentration of tropospheric nitrogen dioxide, with blue and green colors denoting lower concentrations and orange and red areas indicating higher concentrations. </p>\r<p>The second type of data is the trend data from 2005 to 2014, which shows the observed change in concentration over the ten-year period. Blue indicated an observed decrease in nitrogen dioxide, and orange indicates an observed increase. Please note that the range on the color bars (text is in white) changes from location to location in order to highlight features seen in the different geographic regions.</p>",
                    "instance": {
                        "id": 436944,
                        "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004412/persian_gulf_trend_searchweb.png",
                        "filename": "persian_gulf_trend_searchweb.png",
                        "media_type": "Image",
                        "alt_text": "The trend map of the Persian Gulf shows the change in nitrogen dioxide concentrations from 2005 to 2014.",
                        "width": 180,
                        "height": 320,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409693,
                    "type": "media_group",
                    "extra_data": null,
                    "title": "The trend map of South Africa shows the change in nitrogen dioxide concentrations from 2005 to 2014.",
                    "caption": "Using new, high-resolution global satellite maps of air quality indicators, NASA scientists tracked air pollution trends over the last decade in various regions and 195 cities around the globe. According to recent NASA research findings, the United States, Europe and Japan have improved air quality thanks to emission control regulations, while China, India and the Middle East, with their fast-growing economies and expanding industry, have seen more air pollution. <p>Scientists examined observations made from 2005 to 2014 by the Ozone Monitoring Instrument aboard NASA's Aura satellite. One of the atmospheric gases the instrument detects is nitrogen dioxide, a yellow-brown gas that is a common emission from cars, power plants and industrial activity. Nitrogen dioxide can quickly transform into ground-level ozone, a major respiratory pollutant in urban smog. Nitrogen dioxide hotspots, used as an indicator of general air quality, occur over most major cities in developed and developing nations.</p>\r<p>The following visualizations include two types of data. The absolute concentrations show the concentration of tropospheric nitrogen dioxide, with blue and green colors denoting lower concentrations and orange and red areas indicating higher concentrations. </p>\r<p>The second type of data is the trend data from 2005 to 2014, which shows the observed change in concentration over the ten-year period. Blue indicated an observed decrease in nitrogen dioxide, and orange indicates an observed increase. Please note that the range on the color bars (text is in white) changes from location to location in order to highlight features seen in the different geographic regions.</p>",
                    "instance": {
                        "id": 436954,
                        "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004412/s_africa_trend_searchweb.png",
                        "filename": "s_africa_trend_searchweb.png",
                        "media_type": "Image",
                        "alt_text": "The trend map of South Africa shows the change in nitrogen dioxide concentrations from 2005 to 2014.",
                        "width": 180,
                        "height": 320,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409694,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4273,
                        "url": "https://svs.gsfc.nasa.gov/4273/",
                        "page_type": "Visualization",
                        "title": "CALIPSO observes Saharan dust crossing the Atlantic Ocean",
                        "description": "Subtitled visualization depicting Saharan dust travelling across the Atlantic Ocean to the Amazon Basin.  MODIS imagery shows a 2D representation of the dust cloud, which is then compared to CALIPSO data curtains showing dust throughout the air column.  Seasonal dust flux measurements are visualized using particles systems. Finally, average annual dust deposition into the Amazon Basin is shown by Amazon boundary import/export measurements. || Dust_Entire_1080p_60fps.3072_print.jpg (1024x576) [124.9 KB] || Dust_Entire_1080p_60fps.3072_searchweb.png (180x320) [69.8 KB] || Dust_Entire_1080p_60fps.3072_web.png (320x180) [69.8 KB] || Dust_Entire_1080p_60fps.3072_thm.png (80x40) [5.4 KB] || SaharanDust_720p_60fps.mp4 (1280x720) [73.6 MB] || SaharanDust_1080p_60fps.webm (1920x1080) [12.3 MB] || SaharanDust_1080p_60fps.mp4 (1920x1080) [189.6 MB] || entire_4k (3840x2160) [0 Item(s)] || Dust_4k_30fps_2160p.mp4 (3840x2160) [365.9 MB] || ",
                        "release_date": "2015-02-24T09:55:00-05:00",
                        "update_date": "2025-01-05T22:43:59.754494-05:00",
                        "main_image": {
                            "id": 445890,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004273/4273_African_Dust_Still.png",
                            "filename": "4273_African_Dust_Still.png",
                            "media_type": "Image",
                            "alt_text": "SIGGRAPH VersionFor complete transcript, click here.",
                            "width": 1920,
                            "height": 1080,
                            "pixels": 2073600
                        }
                    }
                }
            ],
            "extra_data": {}
        },
        {
            "id": 371158,
            "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/#media_group_371158",
            "widget": "Tile gallery",
            "title": "Ecological Forecasting",
            "caption": "",
            "description": "The Ecological Forecasting Applications area promotes the use of Earth observations and models to analyze and forecast changes that affect ecosystems and to develop effective resource management strategies. Primary user communities are natural resource managers (both land and marine) and those involved in conservation and sustainable ecosystem management.",
            "items": [
                {
                    "id": 409695,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30059,
                        "url": "https://svs.gsfc.nasa.gov/30059/",
                        "page_type": "Hyperwall Visual",
                        "title": "Mountaintop Mining, West Virginia",
                        "description": "These images illustrate the growth of the Hobet mine in Boone County, WV as it moves from ridge to ridge between 1984 and 2015. The natural forested landscape appears dark green, creased by steams and indented by hollows. Active mining areas, however, appear off-white and areas being reclaimed with vegetation appear light green. The law requires coal operators to restore the land to its approximate original shape, but the rock debris generally can’t be securely piled as high or graded as steeply as the original mountaintop. There is always too much rock left over, and coal companies dispose of it by building valley fills in hollows, gullies, and streams. While the image from 2015 shows apparent green-up of restored lands, it also shows expanded operations in the west. The resulting impacts to stream biodiversity, forest health, and ground-water quality are high, and may be irreversible. || ",
                        "release_date": "2013-07-10T09:00:00-04:00",
                        "update_date": "2025-02-02T23:28:26.439530-05:00",
                        "main_image": {
                            "id": 428410,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030059/mountaintop_mining_1984-2012_720p_web.png",
                            "filename": "mountaintop_mining_1984-2012_720p_web.png",
                            "media_type": "Image",
                            "alt_text": "This time-series illustrates the growth of the Hobet mine in Boone County, WV as it moves from ridge to ridge between 1984 and 2015.",
                            "width": 180,
                            "height": 320,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409696,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30215,
                        "url": "https://svs.gsfc.nasa.gov/30215/",
                        "page_type": "Hyperwall Visual",
                        "title": "Urban Growth in Las Vegas",
                        "description": "The city of Las Vegas—meaning the meadows—was established in 1905. Its grassy meadows and artesian springs attracted settlers traveling across the arid Desert Southwest in the early 1800s. In the 1930s, gambling became legalized and construction of the Hoover Dam began, resulting in the city's first growth spurt. Since then, Las Vegas has not stopped growing. Population has reached nearly two million over the past decade, becoming one of the fastest growing metropolitan areas in the world. These false-color images show the rapid urbanization of Las Vegas between 1972 and 2018. The city streets and other impervious surfaces appear gray, while irrigated vegetation appears red. Over the years, the expansion of irrigated vegetation (e.g., lawns and golf courses) has stretched the city’s desert bounds. || ",
                        "release_date": "2019-03-15T18:00:00-04:00",
                        "update_date": "2024-10-10T00:19:58.735638-04:00",
                        "main_image": {
                            "id": 397087,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030200/a030215/landsat_las_vegas_9_image_grid_print.jpg",
                            "filename": "landsat_las_vegas_9_image_grid_print.jpg",
                            "media_type": "Image",
                            "alt_text": "9 images from the Las Vegas Landsat time series",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409697,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30874,
                        "url": "https://svs.gsfc.nasa.gov/30874/",
                        "page_type": "Hyperwall Visual",
                        "title": "Sprawling Shanghai",
                        "description": "Shanghai sprawl over time, 1984-2022 || shanghai_2022_00865_print.jpg (1024x576) [263.9 KB] || shanghai_2022_00865_searchweb.png (320x180) [123.1 KB] || shanghai_2022_00865_thm.png (80x40) [7.5 KB] || shanghai_2022_1080p30.mp4 (1920x1080) [37.5 MB] || shanghai_2022_1080p30.webm (1920x1080) [4.1 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || shanghai_2022_2160p30.mp4 (3840x2160) [135.9 MB] ||",
                        "release_date": "2017-03-24T00:00:00-04:00",
                        "update_date": "2025-05-12T14:52:52.713183-04:00",
                        "main_image": {
                            "id": 415508,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030800/a030874/shanghai_2022_00865_print.jpg",
                            "filename": "shanghai_2022_00865_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Shanghai sprawl over time, 1984-2025",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409698,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4476,
                        "url": "https://svs.gsfc.nasa.gov/4476/",
                        "page_type": "Visualization",
                        "title": "Global Terrestrial Water Storage Anomaly (March 2015 - March 2016)",
                        "description": "Animation showing Terrestrial Water Storage Anomaly (TWSA) data from March 2015 to March 2016. Shades of orange indicate areas with less ground water than normal and shades of blue are areas with more ground water than normal, which correlates to droughts and floods in these various regions. || globgrace2016.0365_print.jpg (1024x576) [154.1 KB] || globgrace2016.0365_searchweb.png (320x180) [67.2 KB] || globgrace2016.0365_thm.png (80x40) [6.2 KB] || globgrace2016_1080p30.mp4 (1920x1080) [5.8 MB] || globgrace2016_720p30.mp4 (1280x720) [3.2 MB] || dates (1920x1080) [0 Item(s)] || globgrace2016_1080p30.webm (1920x1080) [1.2 MB] || globgrace2016_2160p30.mp4 (3840x2160) [17.0 MB] || globgrace2016_360p30.mp4 (640x360) [1.1 MB] || example_composite (3840x2160) [0 Item(s)] || robinson_projection (3840x2160) [0 Item(s)] || globgrace2016_1080p30.mp4.hwshow [187 bytes] || ",
                        "release_date": "2016-07-28T18:00:00-04:00",
                        "update_date": "2025-01-05T23:03:48.810618-05:00",
                        "main_image": {
                            "id": 436561,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004476/globgrace2016.0365_print.jpg",
                            "filename": "globgrace2016.0365_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Animation showing Terrestrial Water Storage Anomaly (TWSA) data from March 2015 to March 2016. Shades of orange indicate areas with less ground water than normal and shades of blue are areas with more ground water than normal, which correlates to droughts and floods in these various regions.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409699,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30730,
                        "url": "https://svs.gsfc.nasa.gov/30730/",
                        "page_type": "Hyperwall Visual",
                        "title": "High-Resolution Soil Moisture Maps",
                        "description": "These maps combine data from the twin satellites of the Gravity Recovery and Climate Experiment (GRACE) with other satellite and ground-based measurements to model the relative amount of water stored at two different levels: at plant root level and underground. The wetness, or water content, of each layer is compared to the average between 1948 and 2009. The darkest red regions represent dry conditions that should occur only 2 percent of the time (about once every 50 years). All of the maps are experimental products funded by NASA’s Applied Sciences Program and developed by scientists at NASA’s Goddard Space Flight Center and the National Drought Mitigation Center. The maps do not attempt to represent human consumption of water; but rather, they show changes in water storage related to weather, climate, and seasonal patterns. || ",
                        "release_date": "2015-12-16T12:00:00-05:00",
                        "update_date": "2025-02-02T00:34:27.030349-05:00",
                        "main_image": {
                            "id": 433305,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030730/grace_root_zone_groundwater_print.jpg",
                            "filename": "grace_root_zone_groundwater_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Soil moisture in the root zone compared to ground water storage.",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409700,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30521,
                        "url": "https://svs.gsfc.nasa.gov/30521/",
                        "page_type": "Hyperwall Visual",
                        "title": "California Drought",
                        "description": "The NASA Gravity Recovery and Climate Experiment (GRACE) mission, launched in 2002, maps changes in Earth's gravity field resulting from the movement of water over the planet.  As water moves around the globe — for example, due to flooding in some regions and drought in others —  GRACE acts like a 'scale in the sky,' mapping the regions of Earth that are gaining or losing water each month.   The GRACE mission has been particularly successful in monitoring the melting of the Greenland and Antartic ice sheets, and in mapping changing freshwater storage on land.  This animation shows how the total amount of water (all of the snow, surface water, soil moisture and groundwater) varies in space and time, with the passage of dry seasons and wet seasons as well as with flooding, drought and transport due to water management  Blue colors represent wetter than average conditions (relative to the 2002-2013 time period) and the red colors represent drier than average conditions.  The graph at the left shows the monthly changes for the average of map region outlined in yellow. The yellow line in the graph at the left shows interannual variations.The Sacramento and San Joaquiin River basins are outlined in yellow and the rivers and their tributaries are shown by the blue lines.  The basins include California's Central Valley, the most productive agricultural region in the United States.  Ongoing drought in California has drained the state of nearly 15 cubic kilometers (12 miillion acre feet; 4 trillion gallons) of water in each of the last 3 years.  Much of the loss is a result of groundwater depletion. Limited rainfall and snowmelt throughout the state has forced agriculture and cities to rely more heavily on groundwater reserves, resulting in rapid depletion of the aquifer beneath the Central Valley. At least 50% of the annual water loss is due to the removal of groundwater. || ",
                        "release_date": "2014-10-01T23:00:00-04:00",
                        "update_date": "2024-10-13T23:38:45.811659-04:00",
                        "main_image": {
                            "id": 430603,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030521/grace_ca_drought_v4_0128_print.jpg",
                            "filename": "grace_ca_drought_v4_0128_print.jpg",
                            "media_type": "Image",
                            "alt_text": "GRACE gravity data reveals water deficit in California.",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409701,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30158,
                        "url": "https://svs.gsfc.nasa.gov/30158/",
                        "page_type": "Hyperwall Visual",
                        "title": "Drought Cycles in Australia",
                        "description": "Drought is a frequent visitor in Australia. The Australian Bureau of Meteorology describes the typical rainfall over much of the continent as “not only low, but highly erratic.” These satellite-based vegetation images document what farmers and ranchers have had to contend with over the past decade. The images are centered on the agricultural areas near the Murray River—Australia’s largest river—between Hume Reservoir and Lake Tyrrell. The series shows vegetation growing conditions for a 16-day period in the middle of September each year from 2000 through 2010 compared to the average mid-September conditions over the decade. Places where the amount and/or health of vegetation was above the decadal average are green, average areas are off-white, and places where vegetation growth was below average are brown. || ",
                        "release_date": "2013-10-17T12:00:00-04:00",
                        "update_date": "2024-10-10T00:19:31.126377-04:00",
                        "main_image": {
                            "id": 428822,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030100/a030158/woc_DroughtCycles_Australia_web.png",
                            "filename": "woc_DroughtCycles_Australia_web.png",
                            "media_type": "Image",
                            "alt_text": "Vegetation conditions for a 16-day period in September, 2000 to 2010.",
                            "width": 320,
                            "height": 180,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409702,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30693,
                        "url": "https://svs.gsfc.nasa.gov/30693/",
                        "page_type": "Hyperwall Visual",
                        "title": "Southwestern Europe and Australia at Night 2014-2015",
                        "description": "One way to study the spatial distribution, or arrangement, of human settlements is to view the planet from space during nighttime hours. Scientists have observed the Earth’s lights at night for more than four decades using military satellites and astronaut photography; however, the view became significantly clearer after using satellite data from a low-light sensor onboard the Suomi National Polar-orbiting Partnership (NPP) satellite, launched in October 2011. The satellite’s Visible Infrared Imaging Radiometer Suite (VIIRS) “day-night band” can observe dim signals such as city lights (down to the scale of an isolated highway lamp), wildfires, gas flares, auroras, and reflected moonlight during nighttime hours. Swaths of VIIRS data are processed to find moonless, non-cloudy pixels. These “good” pixels are averaged at each location to produce a global image that depicts the Earth’s lights at night. Each pixel shows roughly 0.46 miles (742 meters) across.The top image, centered on France, is a composite of VIIRS data acquired between October 1, 2014 and April 30, 2015. Paris is visible just above the center of the image. North of Paris and across the English Channel (black), London is visible. The relatively dim Alps, characterized by their crescent-shaped geography, are speckled with lights from car headlights and lit roadways. South of the Alps several major cities in Italy are visible with the brightest spot being Milan. Rome is visible in the bottom right of the image. Strings and clusters of light out at sea are produced by ship lights. The second image, centered on France, is a composite of data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) acquired during 2013. Each pixel shows roughly 1.86 miles (3 kilometers) across. The DMSP OLS night-lights data are available starting in 1992, and provide the ability to measure changes in light extent and locations over the past two decades.The image of Australia at night is a composite of VIIRS data acquired between January 1, 2015 and July 31, 2015. Major cities such as Brisbane, Sydney, Melbourne, and Perth are well lit along the coast. Alice Springs—situated in the geographic center of Australia—is some 1,500 kilometers from the nearest major city. Transient lights—those visible in only one monthly image—are colored red. These lights are mainly from brushfires burning during the dry season (May-July) in Australia’s Northern Territory and northern parts of Western Australia. Aside from fires, some of the transient lights could be attributed to natural gas flares, lightning, oil drilling, or mining operations. || ",
                        "release_date": "2015-10-20T00:00:00-04:00",
                        "update_date": "2025-01-05T00:26:29.782545-05:00",
                        "main_image": {
                            "id": 432924,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030693/france_night_lights_201410-201504_print.jpg",
                            "filename": "france_night_lights_201410-201504_print.jpg",
                            "media_type": "Image",
                            "alt_text": "A night lights image centered on France",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409703,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30194,
                        "url": "https://svs.gsfc.nasa.gov/30194/",
                        "page_type": "Hyperwall Visual",
                        "title": "Burn Recovery in Yellowstone",
                        "description": "In the summer of 1988, lightning- and human-ignited fires consumed vast stretches of Yellowstone National Park. By the time the first snowfall extinguished the last flames in September, 793,000 of the park’s 2,221,800 acres had burned.This series of images shows the scars left in the wake of the western Yellowstone fires and the slow recovery in the twenty years that followed. Taken by Landsat-5, the images were made with a combination of visible and infrared light (green, short-wave infrared, and near infrared) to highlight the burned area and changes in vegetation. In the years that follow, the burn scar fades progressively. On the ground, grasses and wildflowers sprung up from the ashes and tiny pine trees took root and began to grow. Though changes did occur between 1988 and 2010, recovery has been slow. In 2010, the burned area is still clearly discernible.Images acquired by Landsat satellites Reference: NASA’s Earth Observatory || ",
                        "release_date": "2013-10-17T12:00:00-04:00",
                        "update_date": "2024-10-10T00:19:52.359226-04:00",
                        "main_image": {
                            "id": 429111,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030100/a030194/woc_BurnRecovery_Yellowstone_web.png",
                            "filename": "woc_BurnRecovery_Yellowstone_web.png",
                            "media_type": "Image",
                            "alt_text": "Landsat images show recovery after 1988 Yellowstone fires, 1987 to 2011.",
                            "width": 320,
                            "height": 180,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409704,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3868,
                        "url": "https://svs.gsfc.nasa.gov/3868/",
                        "page_type": "Visualization",
                        "title": "Global Fire Observations and MODIS NDVI",
                        "description": "This visualization leads viewers on a narrated global tour of fire detections beginning in July 2002 and ending July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent. The tour then shifts to Asia where large numbers of agricultural fires are visible first in China in June 2004, then across a huge swath of Europe and western Russia in August, and then across India and Southeast Asia through the early part of 2005. It moves next to Africa, the continent that has more abundant burning than any other. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. In what's a fairly average burning season, the visualization shows a huge outbreak of savanna fires during the dry season in Central Africa in July, August, and September of 2006, driven mainly by agricultural activities but also by the fact that the region experiences more lightning than anywhere else in the world. The tour shifts next to South America where a steady flickering of fire is visible across much of the Amazon rainforest with peaks of activity in September and November of 2009. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring. It concludes in North America, a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible. More information on the Fire Information for Resource Management System (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ",
                        "release_date": "2011-10-18T01:00:00-04:00",
                        "update_date": "2025-02-02T00:01:39.789904-05:00",
                        "main_image": {
                            "id": 481530,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003868/africaNDVIPrintRes.1996_web.png",
                            "filename": "africaNDVIPrintRes.1996_web.png",
                            "media_type": "Image",
                            "alt_text": "A 10 year sequence of global fires as seen by NASA's MODIS instruments.",
                            "width": 180,
                            "height": 320,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409705,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3947,
                        "url": "https://svs.gsfc.nasa.gov/3947/",
                        "page_type": "Visualization",
                        "title": "Watching the Earth Breathe: <br>An Animation of Seasonal Vegetation and its effect on Earth's Global Atmospheric Carbon Dioxide",
                        "description": "In this animation, NASA instruments show the seasonal cycle of vegetation and the concentration of carbon dioxide in the atmosphere. The animation begins on January 1, when the northern hemisphere is in winter and the southern hemisphere is in summer. At this time of year, the bulk of living vegetation, shown in green, hovers around the equator and below it, in the southern hemisphere.As the animation plays forward through mid-April, the concentration of carbon dioxide, shown in orange-yellow, in the middle part of Earth's lowest atmospheric layer, the troposphere, increases and spreads throughout the northern hemisphere, reaching a maximum around May. This blooming effect of carbon dioxide follows the seasonal changes that occur in northern latitude ecosystems, in which deciduous trees lose their leaves, resulting in a net release of carbon dioxide through a process called respiration. Carbon dioxide is also released in early spring as soils begin to warm. Almost 10 percent of atmospheric carbon dioxide passes through soils each year.After April, the northern hemisphere moves into late spring and summer and plants begin to grow, reaching a peak in the late summer. The process of plant photosynthesis removes carbon dioxide from the air. The animation shows how carbon dioxide is scrubbed out of the atmosphere by the large volume of new and growing vegetation. Following the peak in vegetation, the drawdown of atmospheric carbon dioxide due to photosynthesis becomes apparent, particularly over the boreal forests.Note that there is roughly a three-month lag between the state of vegetation at Earth's surface and its effect on carbon dioxide in the middle troposphere.Data like these give scientists a new opportunity to better understand the relationships between carbon dioxide in Earth's middle troposphere and the seasonal cycle of vegetation near the surface.Creating the AnimationThis animation was created with data taken from two NASA spaceborne instruments. The concentration of carbon dioxide data from the Atmospheric Infrared Sounder (AIRS), a weather and climate instrument that flies aboard NASA's Aqua spacecraft, is overlain on measurements of vegetation index from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument, also on NASA's Aqua spacecraft, to better understand how photosynthesis and respiration influences the atmospheric carbon dioxide cycle over the globe. The animation runs from January through December and repeats. The AIRS tropospheric carbon dioxide seasonal cycle values were made by averaging AIRS data collected between 2003 and 2010, from which the annual carbon dioxide growth trend of 2 parts per million per year has been removed. For example, the data used for January 1 is actually an average of eight years of AIRS carbon dioxide data taken each year on January 1. The vegetation values were made using data averaged over a four-year period, from 2003 to 2006.Further DetailAIRS uses infrared technology to determine the concentration of atmospheric water vapor and several important trace gases as well as information about temperature and clouds. AIRS orbits Earth from pole-to-pole at an altitude of 438 miles (705 kilometers), measuring Earth's infrared spectrum in 3,278 channels spanning a wavelength range from 3.74 microns to 15.4 microns. Originally designed to improve weather forecasts, AIRS has improved operational five-day weather forecasts more than any other single instrument over the past decade. AIRS has also been found to be sensitive to atmospheric carbon dioxide in the middle troposphere, at an altitude of 5 to 10 kilometers or 3 to 6 miles. AIRS is managed by NASA's Jet Propulsion Laboratory, Pasadena, Calif., under contract to NASA. JPL is a division of the California Institute of Technology in Pasadena. For further information, access the AIRS projectThe MODIS instrument is managed by NASA's Goddard Space Flight Center, Greenbelt, Md. For further information, access the MODIS project. || ",
                        "release_date": "2012-07-08T00:00:00-04:00",
                        "update_date": "2024-10-09T00:02:20.883006-04:00",
                        "main_image": {
                            "id": 474848,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003900/a003947/airsc02_land_connectionV070244.jpg",
                            "filename": "airsc02_land_connectionV070244.jpg",
                            "media_type": "Image",
                            "alt_text": "The concentration of CO2 measured by AIRS is overlain on measurements of vegetation index from the Moderate Resolution Imaging Spectroradiaometer (MODIS), also on the Aqua spacecraft, in an effort to understand the influence of photosynthesis and respiration on the atmospheric CO2 cycle over the globe.  The AIRS tropospheric CO2 seasonal cycle displayed is an average over 8 years of AIRS data, from which the annual growth trend of 2 ppm/year has been removed.  The  animation shows the buildup of tropospheric CO2 in the Northern Hemisphere with a maximum around May. The maximum in the vegetation cycle follows, occurring in the late summer.  Following the peak in vegetation, the drawdown of atmospheric CO2 due to photosynthesis is apparent, particularly over the Boreal Forests.This video is also available on our YouTube channel.",
                            "width": 1278,
                            "height": 719,
                            "pixels": 918882
                        }
                    }
                },
                {
                    "id": 409706,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30634,
                        "url": "https://svs.gsfc.nasa.gov/30634/",
                        "page_type": "Hyperwall Visual",
                        "title": "GEOS-5 Carbon Dioxide and Carbon Monoxide Simulation for SC 2014",
                        "description": "Carbon exists in many forms—e.g., carbon dioxide (CO2), carbon monoxide (CO)—and continually cycles through Earth’s atmosphere, ocean, and terrestrial ecosystems. This visualization, created using data from the 7-km GEOS-5 Nature Run model, shows average column concentrations of atmospheric CO2 (colored shades) and CO (white shades underneath) from May 15, 2005 to June 16, 2007. There is also a version that covers January 1, 2006 to December 31, 2006.CO2 variations are largely controlled by fossil fuel emissions and seasonal fluxes of carbon between the atmosphere and land biosphere. For example, dark red and pink shades represent regions where CO2 concentrations are enhanced by carbon sources, mainly from human activities. During Northern Hemisphere spring and summer months, plants absorb a substantial amount of CO2 through photosynthesis, thus removing CO2 from the atmosphere. Atmospheric CO, a pollutant harmful to human health, is produced mainly from fossil fuel combustion and biomass burning. Here, high concentrations of CO (white) are mainly from fire activity in Africa, South America, and Australia. Scientists use model output data such as these to help answer important questions about Earth’s climate and to help design future satellite missions.These model simulations use fossil fuel emissions estimates provided by the Emissions Database for Global Atmospheric Research (EDGAR). NASA’s Quick Fire Emissions Dataset (QFED) estimates fire emissions using MODIS fire radiative power observations. Additional, observationally constrained estimates of CO2 flux between the atmosphere and land and ocean carbon reservoirs were produced as part of NASA’s Carbon Monitoring System Flux Pilot Project (http://carbon.nasa.gov/cgi-bin/cms/inv_pgp.pl?pgid=581). Land biosphere fluxes come from the Carnegie-Ames-Stanford Approach Global Fire Emissions Database (CASA-GFED) model which incorporates MODIS vegetation classification and AVHRR Normalized Difference Vegetation Index (NDVI) data. Ocean fluxes are produced by the NASA Ocean Biogeochemical Model (NOBM) which incorporates MODIS chlorophyll observations. || ",
                        "release_date": "2014-12-10T00:00:00-05:00",
                        "update_date": "2025-01-05T00:25:18.188596-05:00",
                        "main_image": {
                            "id": 432554,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030634/geos_carbon_720p_print.jpg",
                            "filename": "geos_carbon_720p_print.jpg",
                            "media_type": "Image",
                            "alt_text": "GEOS-5 carbon, May 15, 2005 - June 16, 2007.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409707,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30595,
                        "url": "https://svs.gsfc.nasa.gov/30595/",
                        "page_type": "Hyperwall Visual",
                        "title": "Global Biosphere, Yearly Cycle",
                        "description": "A different color scheme to differentiate ocean and land. || biosphere_cryo_280_print.jpg (1024x576) [145.4 KB] || biosphere_cryo_280_searchweb.png (180x320) [77.2 KB] || biosphere_cryo_280_thm.png (80x40) [7.2 KB] || biosphere_cryo_1080p.mp4 (1920x1080) [10.5 MB] || biosphere_cryo_720p.mp4 (1280x720) [5.0 MB] || biosphere_cryo_720p.webm (1280x720) [1.4 MB] || biosphere_cryo_2160p.mp4 (3840x2160) [37.2 MB] || biosphere_cryo_280.tif (5760x3240) [14.7 MB] || biosphere_cryo_3240p.mp4 (5760x3240) [43.6 MB] || biosphere_cryo_30595.key [14.6 MB] || biosphere_cryo_30595.pptx [12.0 MB] || ",
                        "release_date": "2015-04-12T15:00:00-04:00",
                        "update_date": "2025-02-02T23:37:16.959335-05:00",
                        "main_image": {
                            "id": 431623,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030595/biosphere_cryo_280_print.jpg",
                            "filename": "biosphere_cryo_280_print.jpg",
                            "media_type": "Image",
                            "alt_text": "A different color scheme to differentiate ocean and land.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409708,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3912,
                        "url": "https://svs.gsfc.nasa.gov/3912/",
                        "page_type": "Visualization",
                        "title": "Global Sea Surface Currents and Temperature",
                        "description": "This visualization shows sea surface current flows. The flows are colored by corresponding sea surface temperature data. This visualization is rendered for display on very high resolution devices like hyperwalls or for print media.This visualization was produced using model output from the joint MIT/JPL project entitled Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2). ECCO2 uses the MIT general circulation model (MITgcm) to synthesize satellite and in-situ data of the global ocean and sea-ice at resolutions that begin to resolve ocean eddies and other narrow current systems, which transport heat and carbon in the oceans. The ECCO2 model simulates ocean flows at all depths, but only surface flows are used in this visualization. || ",
                        "release_date": "2012-03-16T10:00:00-04:00",
                        "update_date": "2025-02-18T00:01:26.447913-05:00",
                        "main_image": {
                            "id": 479018,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003900/a003912/flat_global_ecco2_2028x1024.25000.jpg",
                            "filename": "flat_global_ecco2_2028x1024.25000.jpg",
                            "media_type": "Image",
                            "alt_text": "Global sea surface currents colored by temperature.  These are the assembled (contiguous) versions of the animation.  There are several resolutions to choose from, some are cropped for various purposes.  The 6840x3420 version is the complete, full resolution visualization at the appropriate 2x1 aspect ratio and has not been cropped or resized.  The time range for these visualizations is from 2007-03-25T12:00Z to 2008-03-03T12:00Z.",
                            "width": 2048,
                            "height": 1024,
                            "pixels": 2097152
                        }
                    }
                },
                {
                    "id": 409709,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3913,
                        "url": "https://svs.gsfc.nasa.gov/3913/",
                        "page_type": "Visualization",
                        "title": "Gulf Stream Sea Surface Currents and Temperatures",
                        "description": "This visualization shows the Gulf Stream stretching from the Gulf of Mexico all the way over towards Western Europe. This visualization was designed for a very wide, high resolution display (e.g., a 5x3 hyperwall display).This visualization was produced using model output from the joint MIT/JPL project entitled Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2). ECCO2 uses the MIT general circulation model (MITgcm) to synthesize satellite and in-situ data of the global ocean and sea-ice at resolutions that begin to resolve ocean eddies and other narrow current systems, which transport heat and carbon in the oceans. The ECCO2 model simulates ocean flows at all depths, but only surface flows are used in this visualization. There are 2 versions provided: one with the flows colored with gray, the other with flows colored using sea surface temperature data. The sea surface temperature data is also from the ECCO2 model. The dark patterns under the ocean represent the undersea bathymetry. Topographic land exaggeration is 20x and bathymetric exaggeration is 40x. || ",
                        "release_date": "2012-02-15T00:00:00-05:00",
                        "update_date": "2024-10-13T22:08:25.244827-04:00",
                        "main_image": {
                            "id": 478966,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003900/a003913/gulf_comp_1368x768.c1.27000_print.jpg",
                            "filename": "gulf_comp_1368x768.c1.27000_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Composited flows and starfield hyperwall tile c1",
                            "width": 1368,
                            "height": 768,
                            "pixels": 1050624
                        }
                    }
                },
                {
                    "id": 409710,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30728,
                        "url": "https://svs.gsfc.nasa.gov/30728/",
                        "page_type": "Hyperwall Visual",
                        "title": "NOAA Coral Reef Watch 2015",
                        "description": "The NOAA Coral Reef Watch program's satellite data provide current reef environmental conditions to quickly identify areas at risk for coral bleaching, where corals lose the symbiotic algae that give them their distinctive colors. If a coral is severely bleached, disease and partial mortality become likely, and the entire colony may die.The satellite data used to create these products includes the polar orbiters Suomi-NPP/VIIRS and MetOp-B/AVHRR, and the geostationary satellites MSG-3, MTSAT-2, GOES-East, and GOES-West. || ",
                        "release_date": "2015-11-27T00:00:00-05:00",
                        "update_date": "2025-02-03T00:44:50.098689-05:00",
                        "main_image": {
                            "id": 433271,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030728/coral_reef_hotspot_print.jpg",
                            "filename": "coral_reef_hotspot_print.jpg",
                            "media_type": "Image",
                            "alt_text": "The NOAA Coral Reef Watch (CRW) daily 5-km Coral Bleaching HotSpot product presented here measures occurrence and magnitude of instantaneous thermal stress, potentially resulting in coral bleaching. The scale goes from 0 to 5 °C. HotSpot values of 1 °C or more indicate thermal stress leading to coral bleaching and are highlighted in yellow to dark red/brown colors. ",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409711,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4483,
                        "url": "https://svs.gsfc.nasa.gov/4483/",
                        "page_type": "Visualization",
                        "title": "Monitoring Chimpanzee Habitats in western Tanzania",
                        "description": "This visualization shows one location of the area in western Tanzania where the Jane Goodall Institute is working. After focusing on the region to the southeast of the Gombe National Park, this visualization shows the change in forest cover between 1972 and 1999.  Forested areas are shown in shades of green; non-forested regions are shown in shades of brown. || zoomin_swipe_72_99.0325_print.jpg (1024x576) [243.0 KB] || zoomin_swipe_72_99_1080p30.mp4 (1920x1080) [17.0 MB] || yrs_1972_vs_1999 (1920x1080) [0 Item(s)] || zoomin_swipe_72_99_1080p30.webm (1920x1080) [1.8 MB] || zoomin_swipe_72_99_4483.key [19.4 MB] || zoomin_swipe_72_99_4483.pptx [19.0 MB] || zoomin_swipe_72_99_1080p30.mp4.hwshow [224 bytes] || ",
                        "release_date": "2017-01-25T00:00:00-05:00",
                        "update_date": "2025-01-05T23:08:31.494282-05:00",
                        "main_image": {
                            "id": 422298,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004483/Gombe_QuickBird.0100_print.jpg",
                            "filename": "Gombe_QuickBird.0100_print.jpg",
                            "media_type": "Image",
                            "alt_text": "This visualization shows the difference in the forest cover between the region within the Gombe National Park, to the left of the red boundary line, and the regions outside of the park to the right.  QuickBird imagery provided courtesy of DigitalGlobe.   Processed by Chuck Chaapel.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409712,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30677,
                        "url": "https://svs.gsfc.nasa.gov/30677/",
                        "page_type": "Hyperwall Visual",
                        "title": "Polar Bears and Sea Ice",
                        "description": "201307_iccb_kristin_laidre_16_collared_polar_bears_print.jpg (1024x574) [134.6 KB] || 201307_iccb_kristin_laidre_16_collared_polar_bears.png (4104x2304) [13.1 MB] || 201307_iccb_kristin_laidre_16_collared_polar_bears_searchweb.png (320x180) [89.9 KB] || 201307_iccb_kristin_laidre_16_collared_polar_bears_thm.png (80x40) [7.0 KB] || 201307_iccb_kristin_laidre_16_collared_polar_bears_720p.webm (1280x720) [8.7 MB] || 201307_iccb_kristin_laidre_16_collared_polar_bears_720p.mp4 (1280x720) [33.0 MB] || 201307_iccb_kristin_laidre_16_collared_polar_bears_2304p.mp4 (4104x2304) [58.7 MB] || ",
                        "release_date": "2013-07-01T00:00:00-04:00",
                        "update_date": "2025-02-03T00:42:43.409413-05:00",
                        "main_image": {
                            "id": 432773,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030677/201307_iccb_kristin_laidre_16_collared_polar_bears_print.jpg",
                            "filename": "201307_iccb_kristin_laidre_16_collared_polar_bears_print.jpg",
                            "media_type": "Image",
                            "alt_text": "",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409713,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4452,
                        "url": "https://svs.gsfc.nasa.gov/4452/",
                        "page_type": "Visualization",
                        "title": "Vegetation Greening Trend in Canada and Alaska: 1984-2012",
                        "description": "This animation examines the change in the vegetation trend over Canada and Alaska between 1984 and 2012. || AG_v0020_Final.3975_print.jpg (1024x576) [213.8 KB] || AG_v0020_Final.3975_searchweb.png (180x320) [103.3 KB] || AG_v0020_Final.3975_thm.png (80x40) [6.9 KB] || AG_Final_mb150_slow_1080p30.mp4 (1920x1080) [38.0 MB] || AG_Final_mb150_slow_1080p60.mp4 (1920x1080) [38.0 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || AG_Final_mb150_slow_1080p30.webm (1920x1080) [5.7 MB] || AG_Final_mb150_slow_1080p30.mp4.hwshow [226 bytes] || ",
                        "release_date": "2016-06-02T09:50:00-04:00",
                        "update_date": "2025-01-05T23:01:43.019059-05:00",
                        "main_image": {
                            "id": 424238,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004452/AG_v0020_Final.3975_print.jpg",
                            "filename": "AG_v0020_Final.3975_print.jpg",
                            "media_type": "Image",
                            "alt_text": "This animation examines the change in the vegetation trend over Canada and Alaska between 1984 and 2012.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409714,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4184,
                        "url": "https://svs.gsfc.nasa.gov/4184/",
                        "page_type": "Visualization",
                        "title": "2014 Update Aqua/AIRS Carbon Dioxide with Mauna Loa Carbon Dioxide",
                        "description": "This visualization is a time-series of the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft. For comparison, it is overlain by a graph of the seasonal variation and interannual increase of carbon dioxide observed at the Mauna Loa, Hawaii observatory.The graph shows data, commonly called the Keeling Curve, from the Scripps measurements of monthly carbon dioxide concentration at Mauna Loa Observatory. The collection of this data was started by C. David Keeling of the Scripps Institution of Oceanography in March of 1958 at a facility of the National Oceanic and Atmospheric Administration [Keeling, 1976]. The two most notable features of this visualization are the seasonal variation of carbon dioxide and the trend of increase in its concentration from year to year. The global map clearly shows that the carbon dioxide in the Northern Hemisphere peaks in April-May and then drops to a minimum in September-October. Although the seasonal cycle is less pronounced in the Southern Hemisphere it is opposite to that in the Northern Hemisphere. This seasonal cycle is governed by the growth cycle of plants. The Northern Hemisphere has the majority of the land masses, and so the amplitude of the cycle is greater in that hemisphere. The overall color of the map shifts toward the red with advancing time due to the annual increase of carbon dioxide.The concentration of carbon dioxide in the mid-troposphere lags the concentration found at the surface as mixing from the lower to upper altitudes usually takes days to weeks.More information about AIRS can be found at http://airs.jpl.nasa.gov.  More information about the carbon dioxide concentration at Mauna Loa Observatory can be found at http://scrippsco2.ucsd.edu/ || ",
                        "release_date": "2014-06-30T00:00:00-04:00",
                        "update_date": "2024-10-06T00:06:57.733712-04:00",
                        "main_image": {
                            "id": 453655,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004100/a004184/AIRSCO2_keeling_2779_print_print.jpg",
                            "filename": "AIRSCO2_keeling_2779_print_print.jpg",
                            "media_type": "Image",
                            "alt_text": "This visualization is a time-series of the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft. For comparison, it is overlain by a graph of the seasonal variation and interannual increase of carbon dioxide observed at the Mauna Loa, Hawaii observatory.  Please note, Mid-Tropospheric carbon dioxide shows a steady increase in atmospheric carbon dioxide concentrations over time.This video is also available on our YouTube channel.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                }
            ],
            "extra_data": {}
        },
        {
            "id": 371159,
            "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/#media_group_371159",
            "widget": "Tile gallery",
            "title": "Disasters",
            "caption": "",
            "description": "The Disasters Applications area promotes the use of Earth observations to improve prediction of, preparation for, response to, and recovery from natural and technological disasters. The Disasters area supports projects to enhance management practices and disaster reduction across disaster types, including floods, earthquakes, volcanoes, and landslides. Disaster applications and applied research on natural hazards support emergency preparedness leaders in developing mitigation approaches, such as early warning systems, and providing information and maps to disaster response and recovery teams.",
            "items": [
                {
                    "id": 409715,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3783,
                        "url": "https://svs.gsfc.nasa.gov/3783/",
                        "page_type": "Visualization",
                        "title": "Iceland's Eyjafjallajökull Volcanic Ash Plume May 6-8, 2010 - Stereoscopic Version",
                        "description": "During April and May, 2010, the Eyjafjallajökull volcano on Iceland's southern coast erupted, creating an expansive ash cloud that disrupted air traffic throughout Europe and across the Atlantic. This animation shows the flow of this ash cloud for three days in early May on an hourly basis as sensed from a geostationary satellite. The ash cloud heights were determined using an approach developed by NOAA/NESDIS/STAR for the next generation of Geostationary Operational Environmental Satellite (GOES-R). Data from EUMETSAT's Spinning Enhanced Visible and Infrared Imager (SEVIRI) was used as a proxy for GOES-R Advanced Baseline Imager (ABI) data. This data is shown intersecting with the CALIPSO Parallel Attenuated Backscatter curtain on May 6th. In this page the visualization content is offered in two different modes to accommodate stereoscopic systems as: Left and Right Eye separate and Left and Right Eye side-by-side combined on the same frame. || ",
                        "release_date": "2010-10-21T00:00:00-04:00",
                        "update_date": "2024-10-09T16:01:22.308073-04:00",
                        "main_image": {
                            "id": 489466,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003700/a003783/volcanicAsh_comp_L.0413_web.png",
                            "filename": "volcanicAsh_comp_L.0413_web.png",
                            "media_type": "Image",
                            "alt_text": "This set provides stereoscopic visualization content (Left and Right Eye separate) of the composite animation including the foreground, star background and date overlay.",
                            "width": 320,
                            "height": 180,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409716,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30307,
                        "url": "https://svs.gsfc.nasa.gov/30307/",
                        "page_type": "Hyperwall Visual",
                        "title": "Iceland Volcano Eruption Eyjafjallajökull",
                        "description": "Iceland’s Eyjafjallajökull Volcano produced its second major ash plume of 2010 beginning on May 7. When the first ash eruption began on April 14, air travel across most of Europe was shut down, but by the time of the second eruption, forecasters were better prepared to predict the spread of volcanic ash. Despite some airport closures and flight cancellations, most air passengers completed their journeys with minimal delay.Among the key pieces of information that a computer model must have to predict the spread of ash is when the eruption happened, how much ash was ejected, and how high the plume got. The Multi-angle Imaging SpectroRadiometer (MISR) aboard NASA’s Terra satellite collected data on ash height when it passed just east of the Eyjafjallajökull Volcano mid-morning on May 7. || ",
                        "release_date": "2013-10-21T12:00:00-04:00",
                        "update_date": "2025-01-06T02:00:40.710372-05:00",
                        "main_image": {
                            "id": 429354,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030300/a030307/eyjafjallajokull_modis_misr_print.jpg",
                            "filename": "eyjafjallajokull_modis_misr_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Ash plume from Iceland’s Eyjafjallajökull Volcano",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409717,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30188,
                        "url": "https://svs.gsfc.nasa.gov/30188/",
                        "page_type": "Hyperwall Visual",
                        "title": "Mount Etna Deformation",
                        "description": "This animation depicts a time-series of ground deformation at Mount Etna Volcano between 1992 and 2001. The deformation results from changes in the volume of a shallow chamber centered approximately 5 km (3 miles) below sea level. The accumulation of magma in this chamber results in the inflation, or expansion, of the volcano, while the release of magma from the chamber results in deflation or contraction. || ",
                        "release_date": "2013-10-17T12:00:00-04:00",
                        "update_date": "2025-02-02T23:30:19.463486-05:00",
                        "main_image": {
                            "id": 429131,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030100/a030188/mt_etna_deformation_print.jpg",
                            "filename": "mt_etna_deformation_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Radar data shows Mt Etna deforming.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409718,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30308,
                        "url": "https://svs.gsfc.nasa.gov/30308/",
                        "page_type": "Hyperwall Visual",
                        "title": "Puyehue-Cordon Caulle Volcanic Complex, Chile",
                        "description": "On June 4, 2011, a fissure opened in Chile's Puyehue-CordÃ³n Caulle Volcanic Complex, sending ash 45,000 feet (14,000 meters) into the air. This image, taken on June 11, 2011, shows the path of the volcanic ash plume. Winds blowing from the west carried the plume downwind, across Argentina and eventually reaching the South Atlantic Ocean. Clear skies allow the snow-covered Andes Mountains to be seen just north and south of the erupting volcano. The opposite is true for areas downwind of the volcano beneath the highest concentrations of volcanic ash. It is hard for even the tiniest bit of sunlight to penetrate the thick plume as revealed by the dark shadow cast on the earth's surface directly south of the plume. The width of the plume increases with increasing distance from the volcano as particulates disperse in the atmosphere. The zigzag path of the plume over Argentina suggests shifts in wind direction. East of the Andes, heavier volcanic ash sediment has settled on the land below, blanketing large portions of Argentina. It appears that some of the settled ash has been picked up again, this time by surface winds that may eventually carry the sediment out to sea. A high resolution image acquired 6 weeks later  shows ash covering the mountain slopes and pumice floating in lakes. || ",
                        "release_date": "2013-10-21T12:00:00-04:00",
                        "update_date": "2024-10-10T00:20:10.062051-04:00",
                        "main_image": {
                            "id": 429369,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030300/a030308/volcano_puyehue_chile_2011_print.jpg",
                            "filename": "volcano_puyehue_chile_2011_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Plumes from Puyehue-CordÃ³n volcanic complex.",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409719,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30744,
                        "url": "https://svs.gsfc.nasa.gov/30744/",
                        "page_type": "Hyperwall Visual",
                        "title": "Volcanoes of the 21st Century from the 12.5-km GEOS-5 Downscaling of MERRA-2",
                        "description": "Sulfur Dioxide time series animation shows valcanic eruptions. || geos5_so2_20070101_print.jpg (1024x576) [153.8 KB] || geos5_so2_20070101.png (5760x3240) [12.6 MB] || geos5_so2_20070101_searchweb.png (320x180) [93.7 KB] || geos5_so2_20070101_thm.png (80x40) [7.6 KB] || geos5_so2_720p.webm (1280x720) [52.1 MB] || geos5_so2_720p.mp4 (1280x720) [683.1 MB] || geos5_so2_1080p.mp4 (1920x1080) [1.2 GB] || geos5_so2_2304p.mp4 (4096x2304) [3.5 GB] || ",
                        "release_date": "2015-12-13T03:40:00-05:00",
                        "update_date": "2025-01-06T02:37:19.299913-05:00",
                        "main_image": {
                            "id": 433480,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030744/geos5_so2_20070101_print.jpg",
                            "filename": "geos5_so2_20070101_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Sulfur Dioxide time series animation shows valcanic eruptions.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409720,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30637,
                        "url": "https://svs.gsfc.nasa.gov/30637/",
                        "page_type": "Hyperwall Visual",
                        "title": "GEOS-5 Aerosols Simulation for SC 2014",
                        "description": "GEOS-5 aerosols shown at SC 2014. || aerosols-sc2014-preview.jpg (1024x512) [140.7 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png (180x320) [97.6 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_thm.png (80x40) [7.4 KB] || aerosols (1920x1080) [0 Item(s)] || aerosols-sc14.webm (1920x1080) [10.2 MB] || aerosols-sc14.mp4 (1920x1080) [155.5 MB] || 30637_aerosols_sim_1920x1080.mp4 (1920x1080) [204.3 MB] || aerosols (5760x2881) [0 Item(s)] || 30637_aerosols_sim_4K.mp4 (4096x2048) [206.8 MB] || 30637_aerosols_sim_UHD_large.mp4 (3840x2160) [206.3 MB] || 30637_aerosols_sim_1280x720_prores.mov (1280x720) [1.5 GB] || 30637_aerosols_sim_UHD_youtube_hq.mov (3840x2160) [4.0 GB] || 30637_aerosols_sim_UHD.mov (3840x2160) [11.2 GB] || 30637_aerosols_sim_MASTER.mov (5760x2881) [23.5 GB] || ",
                        "release_date": "2014-12-10T00:00:00-05:00",
                        "update_date": "2025-01-06T02:25:05.777504-05:00",
                        "main_image": {
                            "id": 432604,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030637/aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png",
                            "filename": "aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png",
                            "media_type": "Image",
                            "alt_text": "GEOS-5 aerosols shown at SC 2014.",
                            "width": 180,
                            "height": 320,
                            "pixels": 57600
                        }
                    }
                },
                {
                    "id": 409721,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30641,
                        "url": "https://svs.gsfc.nasa.gov/30641/",
                        "page_type": "Hyperwall Visual",
                        "title": "Simulated Sulfur Dioxide and Sulfate Aerosols",
                        "description": "Sulfur and Sulfates animation of Sept 1 - Dec 31, 2006 || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z.png (5760x2880) [19.9 MB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg (1024x512) [117.1 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_searchweb.png (180x320) [93.4 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_thm.png (80x40) [7.0 KB] || geos_sulfur_720p.mp4 (1280x720) [95.0 MB] || geos_sulfur_720p.webm (1280x720) [11.6 MB] || sulfur_small_c1440_NR_BETA9-SNAP_20060329_1600z_1080.mp4 (1920x1080) [357.4 MB] || geos_sulfur_2304p.mp4 (4096x2304) [667.5 MB] || ",
                        "release_date": "2014-12-10T10:00:00-05:00",
                        "update_date": "2025-01-05T00:25:25.456840-05:00",
                        "main_image": {
                            "id": 432489,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030641/sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg",
                            "filename": "sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Sulfur and Sulfates animation of Sept 1 - Dec 31, 2006",
                            "width": 1024,
                            "height": 512,
                            "pixels": 524288
                        }
                    }
                },
                {
                    "id": 409722,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4283,
                        "url": "https://svs.gsfc.nasa.gov/4283/",
                        "page_type": "Visualization",
                        "title": "Painting the World with Water",
                        "description": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set. || GPM_Fleet_IMERG_globe.00556_print.jpg (1024x576) [66.4 KB] || GPM_Fleet_IMERG_globe.00556_searchweb.png (180x320) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_web.png (320x180) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_thm.png (80x40) [3.7 KB] || GPM_Fleet_IMERG_globe.webm (1920x1080) [5.8 MB] || GPM_Fleet_IMERG_globe.mp4 (1920x1080) [55.2 MB] || globecomposite (1920x1080) [128.0 KB] || GPM_Fleet_IMERG_globe_4283.pptx [55.9 MB] || GPM_Fleet_IMERG_globe_4283.key [58.4 MB] || GPM_Fleet_IMERG_globe.mp4.hwshow [214 bytes] || ",
                        "release_date": "2015-03-31T12:00:00-04:00",
                        "update_date": "2024-10-09T00:05:17.530204-04:00",
                        "main_image": {
                            "id": 444552,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004283/GPM_Fleet_IMERG_globe.00556_print.jpg",
                            "filename": "GPM_Fleet_IMERG_globe.00556_print.jpg",
                            "media_type": "Image",
                            "alt_text": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409723,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4284,
                        "url": "https://svs.gsfc.nasa.gov/4284/",
                        "page_type": "Visualization",
                        "title": "Accumulated Precipitation from the IMERG Global Precipitation Data",
                        "description": "An animation showing global precipitation accumulating from 8/4/2014 through 8/10/2014.  The very large accumulation near Japan is Typhoon Halong.  This accumulation is calculated from the IMERG precipitation dataset.This video is also available on our YouTube channel. || GPM_accumulation_1080p.00336_print.jpg (1024x576) [293.6 KB] || GPM_accumulation_1080p.00336_searchweb.png (320x180) [122.4 KB] || GPM_accumulation_1080p.00336_web.png (320x180) [122.4 KB] || GPM_accumulation_1080p.00336_thm.png (80x40) [8.6 KB] || flatcomposite (1920x1080) [32.0 KB] || GPM_accumulation_1080p.mp4 (1920x1080) [13.7 MB] || GPM_accumulation_1080p.webm (1920x1080) [1.4 MB] || flatcomposite (3600x1800) [32.0 KB] || flatalpha (3600x1800) [32.0 KB] || GPM_accumulation_1080p_4284.key [17.8 MB] || GPM_accumulation_1080p_4284.pptx [15.1 MB] || ",
                        "release_date": "2015-03-31T00:00:00-04:00",
                        "update_date": "2024-12-15T22:20:13.201613-05:00",
                        "main_image": {
                            "id": 444520,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004284/GPM_accumulation_1080p.00336_print.jpg",
                            "filename": "GPM_accumulation_1080p.00336_print.jpg",
                            "media_type": "Image",
                            "alt_text": "An animation showing global precipitation accumulating from 8/4/2014 through 8/10/2014.  The very large accumulation near Japan is Typhoon Halong.  This accumulation is calculated from the IMERG precipitation dataset.This video is also available on our YouTube channel.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409724,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4304,
                        "url": "https://svs.gsfc.nasa.gov/4304/",
                        "page_type": "Visualization",
                        "title": "Global Rainfall-Triggered Landslides and Global Precipitation from IMERG",
                        "description": "This visualization shows rainfall-triggered landslides and  precipitation from August and September of 2014 in Asia and  the Himalayan Arc. || AsianLandslides_Precip_Population_1620_print.jpg (1024x576) [161.5 KB] || AsianLandslides_Precip_Population_1620_searchweb.png (180x320) [81.7 KB] || AsianLandslides_Precip_Population_1620_thm.png (80x40) [7.3 KB] || AsianRainfall-TriggeredLandslides.mp4 (1920x1080) [92.0 MB] || india (1920x1080) [0 Item(s)] || asian (1920x1080) [0 Item(s)] || AsianLandslides_Precip_Population_1620.tif (1920x1080) [7.9 MB] || AsianRainfall-TriggeredLandslides.webm (1920x1080) [19.4 MB] || AsianRainfall-TriggeredLandslides.wmv (1920x1080) [117.3 MB] || AsianRainfall-TriggeredLandslides_Precip_Population.m4v (640x360) [17.5 MB] || ",
                        "release_date": "2015-07-01T00:00:00-04:00",
                        "update_date": "2025-01-05T00:06:06.032292-05:00",
                        "main_image": {
                            "id": 442682,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004304/AsianLandslides_Precip_Population_1620_print.jpg",
                            "filename": "AsianLandslides_Precip_Population_1620_print.jpg",
                            "media_type": "Image",
                            "alt_text": "This visualization shows rainfall-triggered landslides and  precipitation from August and September of 2014 in Asia and  the Himalayan Arc.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409725,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4543,
                        "url": "https://svs.gsfc.nasa.gov/4543/",
                        "page_type": "Visualization",
                        "title": "Monitoring Hurricane Matthew",
                        "description": "This example visualization shows how all of the below data visualizations could be arranged on NASA's 3x3 hyperwall display. || MatthewHyperwall9.01110_print.jpg (1024x576) [227.7 KB] || MatthewHyperwall9.01110_searchweb.png (320x180) [116.5 KB] || MatthewHyperwall9.01110_thm.png (80x40) [8.0 KB] || MatthewHyperwall9.mp4 (1920x1080) [61.9 MB] || MatthewHyperwall9.webm (1920x1080) [4.8 MB] || MatthewHyperwall9_4543.key [64.9 MB] || MatthewHyperwall9_4543.pptx [64.4 MB] || MatthewHyperwall9.mp4.hwshow [206 bytes] || ",
                        "release_date": "2017-01-23T00:00:00-05:00",
                        "update_date": "2025-02-02T00:09:21.049613-05:00",
                        "main_image": {
                            "id": 420300,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004543/MatthewHyperwall9.01110_print.jpg",
                            "filename": "MatthewHyperwall9.01110_print.jpg",
                            "media_type": "Image",
                            "alt_text": "This example visualization shows how all of the below data visualizations could be arranged on NASA's 3x3 hyperwall display.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409726,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30833,
                        "url": "https://svs.gsfc.nasa.gov/30833/",
                        "page_type": "Hyperwall Visual",
                        "title": "Hurricane Matthew Rainfall Totals",
                        "description": "Total rainfall from Hurricane Matthew || matthew_imerg_28sep-10oct2016.jpg (1280x720) [1.1 MB] || matthew_imerg_28sep-10oct2016_print.jpg (1024x576) [830.6 KB] || matthew_imerg_28sep-10oct2016_searchweb.png (320x180) [143.6 KB] || matthew_imerg_28sep-10oct2016_thm.png (80x40) [9.0 KB] || matthew_imerg_28sep-10oct2016.webm (1280x720) [3.3 MB] || matthew_imerg_28sep-10oct2016.mov (1280x720) [3.9 MB] || matthew_imerg_28sep-10oct2016.key [6.2 MB] || matthew_imerg_28sep-10oct2016.pptx [5.8 MB] || matthew_imerg_28sep-10oct2016_still.hwshow [232 bytes] || matthew_imerg_28sep-10oct2016_movie.hwshow [233 bytes] || ",
                        "release_date": "2016-11-14T00:00:00-05:00",
                        "update_date": "2025-01-05T00:29:16.486113-05:00",
                        "main_image": {
                            "id": 418484,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030800/a030833/matthew_imerg_28sep-10oct2016.jpg",
                            "filename": "matthew_imerg_28sep-10oct2016.jpg",
                            "media_type": "Image",
                            "alt_text": "Total rainfall from Hurricane Matthew",
                            "width": 1280,
                            "height": 720,
                            "pixels": 921600
                        }
                    }
                },
                {
                    "id": 409727,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4542,
                        "url": "https://svs.gsfc.nasa.gov/4542/",
                        "page_type": "Visualization",
                        "title": "CATS studies volcanic plumes, wildfires, and hurricanes",
                        "description": "NASA’s Cloud-Aerosol Transport System, or CATS, is a lidar remote-sensing instrument taking measurements of atmospheric aerosols and clouds from the International Space Station (ISS). Launched to the ISS in January 2015, CATS is specifically intended to demonstrate a low-cost, streamlined approach to developing ISS science payloads. The CATS mission extends the data record of space-based aerosol and cloud measurements to ensure the continuity of lidar climate observation.Data from CATS will help scientists model the structure of dust plumes and other atmospheric features, which can travel far distances and impact air quality. Climate scientists will also use the CATS data, along with data from other Earth-observing instruments, to look at trends and interactions in clouds and aerosols over time.Calbco EruptionCATS and the ISS provide critical measurements of volcanic plume heights. In late April 2015, the Calbuco Volcano in Chile erupted multiple times; sending plumes of sulfur dioxide and ash into the upper troposphere. Volcanic plumes pose a substantial risk to aviation safety, leading to prolonged flight cancellations that cause ripple effects in the airline industry’s economy and on personal travel. Rerouting air traffic requires accurate forecasts of volcanic plume transport from models such as the NASA GEOS-5 shown here. Utilizing the near-real-time data downlinking capabilities on ISS the CATS team can produce useful data products within six hours of data collection. || ",
                        "release_date": "2017-01-25T00:00:00-05:00",
                        "update_date": "2025-01-05T23:16:41.064155-05:00",
                        "main_image": {
                            "id": 417141,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004542/cats_calbuco_1355_print.jpg",
                            "filename": "cats_calbuco_1355_print.jpg",
                            "media_type": "Image",
                            "alt_text": "The ISS passes over a plume of ash and sulfur dioxide (SO2) from the Calbuco Volcano eruption.  The volcano plume can be seen in attenuated backscatter data collected by the CATS instrument, onboard the ISS. This video is also available on our YouTube channel.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409728,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 3912,
                        "url": "https://svs.gsfc.nasa.gov/3912/",
                        "page_type": "Visualization",
                        "title": "Global Sea Surface Currents and Temperature",
                        "description": "This visualization shows sea surface current flows. The flows are colored by corresponding sea surface temperature data. This visualization is rendered for display on very high resolution devices like hyperwalls or for print media.This visualization was produced using model output from the joint MIT/JPL project entitled Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2). ECCO2 uses the MIT general circulation model (MITgcm) to synthesize satellite and in-situ data of the global ocean and sea-ice at resolutions that begin to resolve ocean eddies and other narrow current systems, which transport heat and carbon in the oceans. The ECCO2 model simulates ocean flows at all depths, but only surface flows are used in this visualization. || ",
                        "release_date": "2012-03-16T10:00:00-04:00",
                        "update_date": "2025-02-18T00:01:26.447913-05:00",
                        "main_image": {
                            "id": 479018,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003900/a003912/flat_global_ecco2_2028x1024.25000.jpg",
                            "filename": "flat_global_ecco2_2028x1024.25000.jpg",
                            "media_type": "Image",
                            "alt_text": "Global sea surface currents colored by temperature.  These are the assembled (contiguous) versions of the animation.  There are several resolutions to choose from, some are cropped for various purposes.  The 6840x3420 version is the complete, full resolution visualization at the appropriate 2x1 aspect ratio and has not been cropped or resized.  The time range for these visualizations is from 2007-03-25T12:00Z to 2008-03-03T12:00Z.",
                            "width": 2048,
                            "height": 1024,
                            "pixels": 2097152
                        }
                    }
                },
                {
                    "id": 409729,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4173,
                        "url": "https://svs.gsfc.nasa.gov/4173/",
                        "page_type": "Visualization",
                        "title": "GPM Examines East Coast Snow Storm",
                        "description": "On March 17, 2014 the Global Precipitation Measurement (GPM) mission's Core Observatory flew over the East coast's last snow storm of the 2013-2014 winter season. This was also one of the first major snow storms observed by GPM shortly after it was launched on February 27, 2014.The GPM Core Observatory carries two instruments that show the location and intensity of rain and snow, which defines a crucial part of the storm structure – and how it will behave. The GPM Microwave Imager sees through the tops of clouds to observe how much and where precipitation occurs, and the Dual-frequency Precipitation Radar observes precise details of precipitation in 3-dimensions.For forecasters, GPM's microwave and radar data are part of the toolbox of satellite data, including other low Earth orbit and geostationary satellites, that they use to monitor tropical cyclones and hurricanes. The addition of GPM data to the current suite of satellite data is timely. Its predecessor precipitation satellite, the Tropical Rainfall Measuring Mission, is 18 years into what was originally a three-year mission. GPM's new high-resolution microwave imager data and the unique radar data ensure that forecasters and modelers won't have a gap in coverage. GPM is a joint mission between NASA and the Japan Aerospace Exploration Agency. All GPM data products will be released to the public on September 4, 2104. Current and future data sets are available to registered users from  NASA Goddard's Precipitation Processing Center website. || ",
                        "release_date": "2014-09-04T00:00:00-04:00",
                        "update_date": "2024-10-09T00:04:21.897822-04:00",
                        "main_image": {
                            "id": 455012,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004100/a004173/ecSnowStorm_v27_720.2000_print.jpg",
                            "filename": "ecSnowStorm_v27_720.2000_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Visualization of GPM collecting data on March 17th, 2014 over the last major snow storm of winter 2013-2014 to hit the east coast. The animation begins with GPM/GMI collecting a swath of ground rain rate data across the region of interest. A volumetric dataset of rain rates (taken by DPR) then dissolves in to show the structure of the storm. A dissecting plane is then turned on to not only provide relative height and width information for the storm, but it then slices through the storm to reveal some of the storm's interior structure. Shades of green to red indicate areas of liquid precipitation. Shades of cyan to purple are areas of frozen precipitation. GPM is the first satellite to differentiate between liquid and frozen precipitation.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409730,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30657,
                        "url": "https://svs.gsfc.nasa.gov/30657/",
                        "page_type": "Hyperwall Visual",
                        "title": "ISERV Captures Flooding in Calgary, Canada",
                        "description": "ISERV Captures Flooding in Calgary, Canada || ISERV_Flooding_Calgary.00001_print.jpg (1024x576) [237.0 KB] || ISERV_Flooding_Calgary.00001_searchweb.png (320x180) [127.1 KB] || ISERV_Flooding_Calgary.00001_thm.png (80x40) [7.2 KB] || ISERV_Flooding_Calgary.mov (1280x720) [25.3 MB] || ISERV_Flooding_Calgary.webm (1280x720) [1.5 MB] || ",
                        "release_date": "2013-09-23T00:00:00-04:00",
                        "update_date": "2025-02-03T00:42:18.896954-05:00",
                        "main_image": {
                            "id": 432650,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030657/ISERV_Flooding_Calgary.00001_print.jpg",
                            "filename": "ISERV_Flooding_Calgary.00001_print.jpg",
                            "media_type": "Image",
                            "alt_text": "ISERV Captures Flooding in Calgary, Canada",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                }
            ],
            "extra_data": {}
        },
        {
            "id": 371160,
            "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/#media_group_371160",
            "widget": "Tile gallery",
            "title": "Water Resources",
            "caption": "",
            "description": "The Water Resources Applications area supports the use of Earth observations in water resources management related to water demand, supply, and quality. The program includes five functional themes: drought; stream flow and flood forecasting; evapotranspiration and irrigation; water quality; and climate effects on water resources.",
            "items": [
                {
                    "id": 409731,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4523,
                        "url": "https://svs.gsfc.nasa.gov/4523/",
                        "page_type": "Visualization",
                        "title": "Irrigation and Groundwater Depletion",
                        "description": "A time series of global irrigation and groundwater depletion maps reveals geographical patterns in the use of fresh water for agriculture.The amount of water involved is enormous. Worldwide, the irrigation of farmland accounts for about 70% of the fresh water diverted by human activity. We might each drink only a few liters (quarts) of water per day, but the food we eat can require a thousand times as much water to produce. Some of the underground aquifers tapped for irrigation replenish so slowly that they are considered a non-renewable resource. The overuse of this groundwater could have long-term consequences for food security and the stability of global markets in food, cotton, and other agricultural products.A new study by researchers at University College London and NASA's Goddard Institute of Space Studies in New York City combines trade data and a global water usage model to determine which crops are grown with non-renewable groundwater and where those crops are consumed. The study appears in the March 30, 2017 issue of Nature. || ",
                        "release_date": "2017-03-29T13:00:00-04:00",
                        "update_date": "2025-01-05T23:11:13.977501-05:00",
                        "main_image": {
                            "id": 418370,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004523/usa_west.1780_print.jpg",
                            "filename": "usa_west.1780_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Irrigation and groundwater depletion are shown side-by-side in the western United States.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409732,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4555,
                        "url": "https://svs.gsfc.nasa.gov/4555/",
                        "page_type": "Visualization",
                        "title": "California Gets Slammed Again",
                        "description": "California has been experiencing a drought since 2012, but the first months of 2017 have brought some relief in the form of torrential rains.  These rains have been brought to California in a series of atmospheric rivers, long narrow channels of water vapor in the atmosphere that reach from tropical latitudes to the coast of California.  These channels bring rainfall to the state when they are disrupted by atmospheric conditions over California's eastern mountains.  This visualization of atmospheric water vapor and precipitation during the first three weeks of February clearly show the successive atmospheric rivers and the resulting rainfall. || ",
                        "release_date": "2017-02-23T00:00:00-05:00",
                        "update_date": "2025-02-02T22:32:02.633290-05:00",
                        "main_image": {
                            "id": 416009,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004555/atriver_pacific.00780_print.jpg",
                            "filename": "atriver_pacific.00780_print.jpg",
                            "media_type": "Image",
                            "alt_text": "This visualization combines precipitation data from the Global Precipitation Measurement (GPM) mission's Integrated Multi-satellitE Retrievals (IMERG) and water vapor data from the Goddard Earth Observing System Model (GEOS).  These datasets show the extreme rainfall that occurred in California during the first three weeks of February 2017 and the atmospheric rivers that transported the rain to the area.This video is also available on our YouTube channel.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409733,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4134,
                        "url": "https://svs.gsfc.nasa.gov/4134/",
                        "page_type": "Visualization",
                        "title": "Groundwater Depletion in India Revealed by GRACE -Extended",
                        "description": "Scientists using data from NASA's Gravity Recovery and Climate Experiment (GRACE) have found that the groundwater beneath Northern India has been receding by as much as one foot per year over the past decade. After examining many environmental and climate factors, the team of hydrologists led by Matt Rodell of NASA's Goddard Space Flight Center, Greenbelt, Md. concluded that the loss is almost entirely due to human consumption.Groundwater comes from the natural percolation of precipitation and other surface waters down through Earth's soil and rock, accumulating in aquifers - cavities and layers of porous rock, gravel, sand, or clay. In some subterranean reservoirs, the water may be thousands to millions of years old; in others, water levels decline and rise again naturally each year. Groundwater levels do not respond to changes in weather as rapidly as lakes, streams, and rivers do. So when groundwater is pumped for irrigation or other uses, recharge to the original levels can take months or years. The animation shown here depicts the change in groundwater levels with respect to the 2003-2009 mean, as measured each month from January 2003 to June 2013. || ",
                        "release_date": "2014-01-16T00:00:00-05:00",
                        "update_date": "2024-10-09T00:04:14.107628-04:00",
                        "main_image": {
                            "id": 459155,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004100/a004134/grace_india.0001.jpg",
                            "filename": "grace_india.0001.jpg",
                            "media_type": "Image",
                            "alt_text": "Groundwater in India as measured by GRACE",
                            "width": 1920,
                            "height": 1080,
                            "pixels": 2073600
                        }
                    }
                },
                {
                    "id": 409734,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4338,
                        "url": "https://svs.gsfc.nasa.gov/4338/",
                        "page_type": "Visualization",
                        "title": "Global Terrestrial Water Storage Anomaly",
                        "description": "Slow zoom out starting over the United States revealing the rest of the world. || grace_world_anom.6000_print.jpg (1024x576) [118.7 KB] || grace_world_anom.6.mp4 (1920x1080) [3.7 MB] || 1920x1080_16x9_30p (1920x1080) [32.0 KB] || grace_world_anom.6.webm (1920x1080) [896.4 KB] || grace_world_anom.6.mp4.hwshow [45 bytes] || ",
                        "release_date": "2015-07-30T17:00:00-04:00",
                        "update_date": "2024-10-09T00:05:30.730287-04:00",
                        "main_image": {
                            "id": 441370,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004338/grace_world_anom.6000_print.jpg",
                            "filename": "grace_world_anom.6000_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Slow zoom out starting over the United States revealing the rest of the world.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409735,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30521,
                        "url": "https://svs.gsfc.nasa.gov/30521/",
                        "page_type": "Hyperwall Visual",
                        "title": "California Drought",
                        "description": "The NASA Gravity Recovery and Climate Experiment (GRACE) mission, launched in 2002, maps changes in Earth's gravity field resulting from the movement of water over the planet.  As water moves around the globe — for example, due to flooding in some regions and drought in others —  GRACE acts like a 'scale in the sky,' mapping the regions of Earth that are gaining or losing water each month.   The GRACE mission has been particularly successful in monitoring the melting of the Greenland and Antartic ice sheets, and in mapping changing freshwater storage on land.  This animation shows how the total amount of water (all of the snow, surface water, soil moisture and groundwater) varies in space and time, with the passage of dry seasons and wet seasons as well as with flooding, drought and transport due to water management  Blue colors represent wetter than average conditions (relative to the 2002-2013 time period) and the red colors represent drier than average conditions.  The graph at the left shows the monthly changes for the average of map region outlined in yellow. The yellow line in the graph at the left shows interannual variations.The Sacramento and San Joaquiin River basins are outlined in yellow and the rivers and their tributaries are shown by the blue lines.  The basins include California's Central Valley, the most productive agricultural region in the United States.  Ongoing drought in California has drained the state of nearly 15 cubic kilometers (12 miillion acre feet; 4 trillion gallons) of water in each of the last 3 years.  Much of the loss is a result of groundwater depletion. Limited rainfall and snowmelt throughout the state has forced agriculture and cities to rely more heavily on groundwater reserves, resulting in rapid depletion of the aquifer beneath the Central Valley. At least 50% of the annual water loss is due to the removal of groundwater. || ",
                        "release_date": "2014-10-01T23:00:00-04:00",
                        "update_date": "2024-10-13T23:38:45.811659-04:00",
                        "main_image": {
                            "id": 430603,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030521/grace_ca_drought_v4_0128_print.jpg",
                            "filename": "grace_ca_drought_v4_0128_print.jpg",
                            "media_type": "Image",
                            "alt_text": "GRACE gravity data reveals water deficit in California.",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409736,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4283,
                        "url": "https://svs.gsfc.nasa.gov/4283/",
                        "page_type": "Visualization",
                        "title": "Painting the World with Water",
                        "description": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set. || GPM_Fleet_IMERG_globe.00556_print.jpg (1024x576) [66.4 KB] || GPM_Fleet_IMERG_globe.00556_searchweb.png (180x320) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_web.png (320x180) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_thm.png (80x40) [3.7 KB] || GPM_Fleet_IMERG_globe.webm (1920x1080) [5.8 MB] || GPM_Fleet_IMERG_globe.mp4 (1920x1080) [55.2 MB] || globecomposite (1920x1080) [128.0 KB] || GPM_Fleet_IMERG_globe_4283.pptx [55.9 MB] || GPM_Fleet_IMERG_globe_4283.key [58.4 MB] || GPM_Fleet_IMERG_globe.mp4.hwshow [214 bytes] || ",
                        "release_date": "2015-03-31T12:00:00-04:00",
                        "update_date": "2024-10-09T00:05:17.530204-04:00",
                        "main_image": {
                            "id": 444552,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004283/GPM_Fleet_IMERG_globe.00556_print.jpg",
                            "filename": "GPM_Fleet_IMERG_globe.00556_print.jpg",
                            "media_type": "Image",
                            "alt_text": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409737,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4285,
                        "url": "https://svs.gsfc.nasa.gov/4285/",
                        "page_type": "Visualization",
                        "title": "Near Real-Time Global Precipitation from the Global Precipitation Measurement Constellation",
                        "description": "An animation of the most currently available global precipitation data from IMERG.",
                        "release_date": "2015-03-31T12:00:00-04:00",
                        "update_date": "2026-04-25T05:50:33.604889-04:00",
                        "main_image": {
                            "id": 375203,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004285/imergert_1080p_30_print.jpg",
                            "filename": "imergert_1080p_30_print.jpg",
                            "media_type": "Image",
                            "alt_text": "The Global Precipitation Measurement (GPM) mission produces NASA's most comprehensive global rain and snowfall product to date, called the Integrated Multi-satellite Retrievals for GPM (IMERG). It is computed using data from the GPM constellation of satellites — a network of international satellites that currently includes the GPM Core Observatory, GCOM-W1, NOAA-18, NOAA-19, DMSP F-16, DMSP F-17, DMSP F-18, Metop-A, and Metop-B. The global IMERG dataset provides precipitation rates for the entire world every 30 minutes. Although the process to create the combined dataset is intensive, the GPM team creates a preliminary, near-real-time dataset of precipitation within several hours of data acquisition. This visualization shows the most currently available precipitation data from IMERG, depicting how rain and snowstorms move around the planet. As scientists work to understand all the elements of Earth's climate and weather systems, and how they could change in the future, GPM provides a major step forward in providing comprehensive and consistent measurements of precipitation for scientists and a wide variety of user communities.",
                            "width": 576,
                            "height": 1024,
                            "pixels": 589824
                        }
                    }
                },
                {
                    "id": 409738,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30580,
                        "url": "https://svs.gsfc.nasa.gov/30580/",
                        "page_type": "Hyperwall Visual",
                        "title": "The Water Cycle",
                        "description": "Diagram of the water cycle || water_cycle_print.jpg (1024x574) [110.8 KB] || water_cycle.png (4104x2304) [1.6 MB] || water_cycle_searchweb.png (320x180) [63.3 KB] || water_cycle_thm.png (80x40) [6.1 KB] || water_cycle_30580.pptx [1.6 MB] || water_cycle_30580.key [5.8 MB] || water_cycle.hwshow [71 bytes] || ",
                        "release_date": "2015-01-21T15:00:00-05:00",
                        "update_date": "2024-10-10T00:22:40.882939-04:00",
                        "main_image": {
                            "id": 431387,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030580/water_cycle_print.jpg",
                            "filename": "water_cycle_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Diagram of the water cycle",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409739,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4071,
                        "url": "https://svs.gsfc.nasa.gov/4071/",
                        "page_type": "Visualization",
                        "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in Ukraine, Russia, and Kazakhstan",
                        "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change.  New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. || ",
                        "release_date": "2013-05-08T12:00:00-04:00",
                        "update_date": "2023-05-03T13:52:10.625139-04:00",
                        "main_image": {
                            "id": 465681,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004000/a004071/CompositeukraineZoom2000.jpg",
                            "filename": "CompositeukraineZoom2000.jpg",
                            "media_type": "Image",
                            "alt_text": "This sequence shows the MODIS' satellites' derived CROP NDVI Anomaly relative to Average (2000-2011) with the USDA's end of season crop production for wheat for the focus countries of Russia, Ukraine, and Kazakhstan.",
                            "width": 1920,
                            "height": 1080,
                            "pixels": 2073600
                        }
                    }
                },
                {
                    "id": 409740,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4072,
                        "url": "https://svs.gsfc.nasa.gov/4072/",
                        "page_type": "Visualization",
                        "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in the United States",
                        "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change.  New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. The visual compares the crop conditions or NDVI anomaly from year 2011-2012 to year 2012-2013. In the 2012-2013 year 7,342 more metric tons (MT) of wheat were produced then in the previous year, but 40,086 fewer metric tons of corn were produced. || ",
                        "release_date": "2013-05-08T12:00:00-04:00",
                        "update_date": "2024-10-09T00:03:29.595541-04:00",
                        "main_image": {
                            "id": 465704,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004000/a004072/zoomtoUSAcomposite2100.jpg",
                            "filename": "zoomtoUSAcomposite2100.jpg",
                            "media_type": "Image",
                            "alt_text": "This sequence shows NASA MODIS' derived crop NDVI anomaly relative to the average (2000-2011) with the USDAA's end of season crop production for wheat and corn in the United States.Orange and brown indicate below average and green indicates above average crop production.  This still image is from March 30, 2013 showing below average conditions for most of the United States.",
                            "width": 1920,
                            "height": 1080,
                            "pixels": 2073600
                        }
                    }
                },
                {
                    "id": 409741,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 30698,
                        "url": "https://svs.gsfc.nasa.gov/30698/",
                        "page_type": "Hyperwall Visual",
                        "title": "Soil Moisture and Rainfall",
                        "description": "Soil Moisture and Ocean Salinity are compared to Rainfall || smap_and_imerg_print.jpg (1024x574) [184.6 KB] || smap_and_imerg_searchweb.png (180x320) [87.4 KB] || smap_and_imerg_thm.png (80x40) [6.9 KB] || smap_and_imerg_720p.webm (1280x720) [2.1 MB] || smap_and_imerg_1080p.mp4 (1920x1080) [20.4 MB] || smap_and_imerg_720p.mp4 (1280x720) [10.0 MB] || smap_and_imerg_2304p.mp4 (4096x2304) [62.8 MB] || smap_and_imerg.tif (4104x2304) [10.6 MB] || smap_and_imerg_30698.key [25.6 MB] || smap_and_imerg_30698.pptx [23.1 MB] || ",
                        "release_date": "2015-10-27T00:00:00-04:00",
                        "update_date": "2024-10-07T00:10:30.252577-04:00",
                        "main_image": {
                            "id": 432987,
                            "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030698/smap_and_imerg_print.jpg",
                            "filename": "smap_and_imerg_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Soil Moisture and Ocean Salinity are compared to Rainfall",
                            "width": 1024,
                            "height": 574,
                            "pixels": 587776
                        }
                    }
                },
                {
                    "id": 409742,
                    "type": "details_page",
                    "extra_data": null,
                    "instance": {
                        "id": 4413,
                        "url": "https://svs.gsfc.nasa.gov/4413/",
                        "page_type": "Visualization",
                        "title": "Sea Surface Temperature Anomaly and Terrestrial Water Storage Anomaly Comparison",
                        "description": "Animation showing Sea Surface Temperature Anomaly (SSTA) and Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015 simultaneously. For SSTA data, blues indicate temperatures lower than normal and reds are areas warmer than normal. With this data we can see the comings and goings of El Niño and La Niña across the years. For the TWSA data, browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions. Furthermore, terrestrial areas that show significant amounts of low water storage are much more sensitive to wildfires. || grace_w_ssta_rob2.4991_print.jpg (1024x576) [133.2 KB] || grace_w_ssta_rob2.4991_searchweb.png (180x320) [91.1 KB] || grace_w_ssta_rob2.4991_thm.png (80x40) [7.7 KB] || grace_w_ssta_rob2_2x_1080p30.mp4 (1920x1080) [41.8 MB] || composite (1920x1080) [0 Item(s)] || robinson_projection (1920x1080) [0 Item(s)] || dates (1920x1080) [0 Item(s)] || grace_w_ssta_rob2_2x_1080p30.webm (1920x1080) [9.8 MB] || ",
                        "release_date": "2016-01-07T00:00:00-05:00",
                        "update_date": "2024-12-29T22:24:27.132472-05:00",
                        "main_image": {
                            "id": 436526,
                            "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004413/grace_w_ssta_rob2.4991_print.jpg",
                            "filename": "grace_w_ssta_rob2.4991_print.jpg",
                            "media_type": "Image",
                            "alt_text": "Animation showing Sea Surface Temperature Anomaly (SSTA) and Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015 simultaneously. For SSTA data, blues indicate temperatures lower than normal and reds are areas warmer than normal. With this data we can see the comings and goings of El Niño and La Niña across the years. For the TWSA data, browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions. Furthermore, terrestrial areas that show significant amounts of low water storage are much more sensitive to wildfires.",
                            "width": 1024,
                            "height": 576,
                            "pixels": 589824
                        }
                    }
                }
            ],
            "extra_data": {}
        },
        {
            "id": 371161,
            "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/#media_group_371161",
            "widget": "Card gallery",
            "title": "Recent Presentations",
            "caption": "",
            "description": "Recent hyperwall presentations on Applied Science.",
            "items": [
                {
                    "id": 409743,
                    "type": "link",
                    "extra_data": null,
                    "title": "Earth Observations Supporting Wildfire Management",
                    "caption": "Various NASA Programs and technology development components contribute to the wildfire management community. In addition to components and materials developed for life support systems for astronauts that have crosscutting utility in the firefighting community, other technologies from Aeronautics, Space observation systems and, Earth sciences all play a major role in supporting today’s firefighter. \n\nThis presentation was given at AGU 2016 by Vince Ambrosia",
                    "instance": {
                        "id": 1,
                        "url": "https://svs.gsfc.nasa.gov/images/no_preview_web_black.png",
                        "filename": "no_preview_web_black.png",
                        "media_type": "Image",
                        "alt_text": "Current Airborne Fleet",
                        "width": 320,
                        "height": 180,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409744,
                    "type": "link",
                    "extra_data": null,
                    "title": "Earth Observations for Global Water Knowledge",
                    "caption": "The NASA Applied Sciences Program Water Resources application area supports the integration of NASA Earth observations and technologies into management tools for the water resources management community. This presentation reviews the sources of data that are used for monitoring and predicting ground water balance and water availability. These data include gravity anomalies, precipitation amounts and measurements of soil moisture, and they are a vital input to crop health assessments. This presentation was given at AGU 2016 by John Bolten.",
                    "instance": {
                        "id": 1,
                        "url": "https://svs.gsfc.nasa.gov/images/no_preview_web_black.png",
                        "filename": "no_preview_web_black.png",
                        "media_type": "Image",
                        "alt_text": "Current Airborne Fleet",
                        "width": 320,
                        "height": 180,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409745,
                    "type": "link",
                    "extra_data": null,
                    "title": "An Overview of NASA's Applied Science Program",
                    "caption": "A presentation given by Lawrence Friedl at ISRSE 2015",
                    "instance": {
                        "id": 1,
                        "url": "https://svs.gsfc.nasa.gov/images/no_preview_web_black.png",
                        "filename": "no_preview_web_black.png",
                        "media_type": "Image",
                        "alt_text": "Current Airborne Fleet",
                        "width": 320,
                        "height": 180,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409746,
                    "type": "link",
                    "extra_data": null,
                    "title": "NASA Earth Observation Systems and Applications for Public Health",
                    "caption": "A presentation given by Shobhana Gupta at APHA 2016",
                    "instance": {
                        "id": 419171,
                        "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030800/a030824/gupta_slide_5_1080p.00001_searchweb.png",
                        "filename": "gupta_slide_5_1080p.00001_searchweb.png",
                        "media_type": "Image",
                        "alt_text": "Seasonal Occurrence and Abundance of Zika Virus Vector Mosquito ",
                        "width": 180,
                        "height": 320,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409747,
                    "type": "link",
                    "extra_data": null,
                    "title": "From Smog to Volcanic Ash: NASA Earth Observations for Air Quality Applications",
                    "caption": "A presentation given by John Haynes at APHA 2016",
                    "instance": {
                        "id": 427745,
                        "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030014/omi_trop_no2_20140715_searchweb.png",
                        "filename": "omi_trop_no2_20140715_searchweb.png",
                        "media_type": "Image",
                        "alt_text": "This yearlong timeseries of NO₂ from OMI run from July 2013 to July 2014.",
                        "width": 180,
                        "height": 320,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409748,
                    "type": "link",
                    "extra_data": null,
                    "title": "Observations of our Planet from Space Using NASA's Satellites",
                    "caption": "A presentation given by Dr. Ali Omar at AWMA 2016",
                    "instance": {
                        "id": 1,
                        "url": "https://svs.gsfc.nasa.gov/images/no_preview_web_black.png",
                        "filename": "no_preview_web_black.png",
                        "media_type": "Image",
                        "alt_text": "Current Airborne Fleet",
                        "width": 320,
                        "height": 180,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409749,
                    "type": "link",
                    "extra_data": null,
                    "title": "Natural Hazards monitoring and mitigation",
                    "caption": "A presentation given by David Green at 2015 Digital Earth",
                    "instance": {
                        "id": 431654,
                        "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030599/smap_rainfall_australia_april_2015_searchweb.png",
                        "filename": "smap_rainfall_australia_april_2015_searchweb.png",
                        "media_type": "Image",
                        "alt_text": "A series of images shows soil moisture and flooding in Australia.",
                        "width": 180,
                        "height": 320,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409750,
                    "type": "link",
                    "extra_data": null,
                    "title": "Improving Global-Scale observations to Halt Illegal Fishing",
                    "caption": "A presentation given by Miguel Román at State Oceans 2016",
                    "instance": {
                        "id": 1,
                        "url": "https://svs.gsfc.nasa.gov/images/no_preview_web_black.png",
                        "filename": "no_preview_web_black.png",
                        "media_type": "Image",
                        "alt_text": "Current Airborne Fleet",
                        "width": 320,
                        "height": 180,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409751,
                    "type": "link",
                    "extra_data": null,
                    "title": "Earth’s Biodiversity: The View from Space",
                    "caption": "A presentation given by Allison Leidner at IUCN 2016",
                    "instance": {
                        "id": 1,
                        "url": "https://svs.gsfc.nasa.gov/images/no_preview_web_black.png",
                        "filename": "no_preview_web_black.png",
                        "media_type": "Image",
                        "alt_text": "Current Airborne Fleet",
                        "width": 320,
                        "height": 180,
                        "pixels": 57600
                    }
                },
                {
                    "id": 409752,
                    "type": "link",
                    "extra_data": null,
                    "title": "Earth’s Biodiversity: Another View from Space",
                    "caption": "A presentation given by Woody Turner at IUCN 2016",
                    "instance": {
                        "id": 432562,
                        "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030634/geos_carbon_2006_2160p_print_searchweb.png",
                        "filename": "geos_carbon_2006_2160p_print_searchweb.png",
                        "media_type": "Image",
                        "alt_text": "GEOS-5 carbon, January 1, 2006 - December 31, 2006.",
                        "width": 180,
                        "height": 320,
                        "pixels": 57600
                    }
                }
            ],
            "extra_data": {}
        }
    ]
}