{ "count": 91, "next": null, "previous": null, "results": [ { "id": 15039, "url": "https://svs.gsfc.nasa.gov/15039/", "result_type": "Gallery", "release_date": "2026-05-06T16:50:00-04:00", "title": "Landsat and HLS (Harmonized Landsat and Sentinel-2) Time Series", "description": "This gallery contains time series animations which utilizes the extensive Landsat data archive of Earth’s surface. Watch seasonal shifts in cropland, long-term coastline change, and more.", "hits": 218 }, { "id": 31350, "url": "https://svs.gsfc.nasa.gov/31350/", "result_type": "Animation", "release_date": "2025-05-27T18:59:59-04:00", "title": "Your Name In Landsat", "description": "The Landsat program, a joint venture between NASA and the U.S. Geological Survey (USGS), has been observing Earth for over 50 years, collecting breathtaking imagery and invaluable data used to study our planet’s changing surface.\r\n\r\nOn the Your Name In Landsat project page, users can type in their name, then view and export the graphic of that name spelled out in Earth features found in Landsat images.", "hits": 585 }, { "id": 4948, "url": "https://svs.gsfc.nasa.gov/4948/", "result_type": "Visualization", "release_date": "2023-09-13T10:00:00-04:00", "title": "Reforestation in Kigoma region of Tanzania: 2005 - 2014", "description": "This visualization begins by showing the location of the village of Kigalye, south of the Gombe National Park in Tanzania. The topography of that region is draped with a satellite image taken on May 14, 2005. As we fly up the valley between Kigalye and the park, scars from deforestation cover much of the landscape. || habitat_reforestation_4k_60fps_2005.1000_print.jpg (1024x576) [290.7 KB] || habitat_reforestation_4k_30fps_2005_1080p30.webmhd.webm (1080x606) [10.0 MB] || habitat_reforestation_4k_30fps_2005_1080p30.mp4 (1920x1080) [49.6 MB] || habitat_reforestation_4k_60fps_2005_1080p60.mp4 (1920x1080) [52.8 MB] || Yr_2005 (3840x2160) [0 Item(s)] || Yr_2005 (3840x2160) [0 Item(s)] || habitat_reforestation_2005_2160p30.mp4 (3840x2160) [151.6 MB] || habitat_reforestation_2005_2160p60.mp4 (3840x2160) [152.5 MB] || ", "hits": 43 }, { "id": 40455, "url": "https://svs.gsfc.nasa.gov/gallery/spacecraft-animations/", "result_type": "Gallery", "release_date": "2023-01-24T00:00:00-05:00", "title": "Satellite Animations", "description": "A collection of spacecraft beauty pass animations for current missions.", "hits": 326 }, { "id": 13890, "url": "https://svs.gsfc.nasa.gov/13890/", "result_type": "Produced Video", "release_date": "2021-09-01T09:45:00-04:00", "title": "A Trip Through Time with Landsat 9", "description": "For half a century, the Landsat mission has shown us Earth from space. Now, come along with us on a ‘roadtrip’ through the decades to see how the technology on this NASA and U.S. Geological Survey partnership has evolved with the times to provide an unbroken data record. Our roadtrip begins with the idea for an Earth-observing sensor in the 1960s and then cruises through the first game-changing launches in the 1970s, the advent of natural color composite images in the 1980s, the increased global coverage in the 1990s, the move to free and open data archives in the 2000s, the modern era of Landsat observations in the 2010s, and now the launch of Landsat 9 in 2021. Landsat satellites have allowed us to better manage our natural resources, and will continue to help people track the effects of climate change into the future.The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey (USGS). Landsat satellites have been consistently gathering data about our planet since 1972. They continue to improve and expand this unparalleled record of Earth's changing landscapes for the benefit of all. || ", "hits": 62 }, { "id": 4826, "url": "https://svs.gsfc.nasa.gov/4826/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Brazil and Novo Progresso Land Use Data Over Time", "description": "This animation begins by showing the similar sizes between the country of Brazil and the United States. It then cycles through over three decades of classification data for the entire Northern half of Brazil. We then zoom down to the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this region changed over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_progressov_finalcomp.2009_print.jpg (1024x576) [287.1 KB] || novo_progressov_finalcomp.2009_searchweb.png (180x320) [105.7 KB] || novo_progressov_finalcomp.2009_thm.png (80x40) [7.3 KB] || novo_progressov_finalcomp_1080p30.mp4 (1920x1080) [48.9 MB] || example_composite (1920x1080) [0 Item(s)] || novo_progressov_finalcomp_1080p30.webm (1920x1080) [7.9 MB] || novo_progressov_finalcomp_1080p30.mp4.hwshow [199 bytes] || ", "hits": 49 }, { "id": 4827, "url": "https://svs.gsfc.nasa.gov/4827/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Novo Progresso Surrounding Region Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this area opened up over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_wide_finalcomp.2009_print.jpg (1024x576) [387.4 KB] || novo_wide_finalcomp.1116_print.jpg (1024x576) [221.0 KB] || novo_wide_finalcomp_1080p30_2.mp4 (1920x1080) [30.2 MB] || novo_wide_finalcomp_1080p30_2.webm (1920x1080) [3.7 MB] || Example_Composite (1920x1080) [0 Item(s)] || novo_wide_finalcomp_1080p30_2.mp4.hwshow [195 bytes] || ", "hits": 46 }, { "id": 4828, "url": "https://svs.gsfc.nasa.gov/4828/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Colider Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Colider and compares its relative size to Northern California. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || colider_finalcomp.2009_print.jpg (1024x576) [548.1 KB] || colider_finalcomp.2009_searchweb.png (320x180) [144.4 KB] || colider_finalcomp.2009_thm.png (80x40) [8.4 KB] || colider_finalcomp_1080p30.mp4 (1920x1080) [40.2 MB] || colider_finalcomp_1080p30.webm (1920x1080) [4.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || colider_finalcomp_1080p30.mp4.hwshow [191 bytes] || ", "hits": 29 }, { "id": 4829, "url": "https://svs.gsfc.nasa.gov/4829/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Ji-Paraná Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Ji Parana and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ji_parana_finalcomp.2009_print.jpg (1024x576) [412.8 KB] || ji_parana_finalcomp.2009_searchweb.png (320x180) [133.8 KB] || ji_parana_finalcomp.2009_thm.png (80x40) [8.2 KB] || ji_parana_finalcomp_1080p30.mp4 (1920x1080) [34.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || ji_parana_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || ji_parana_finalcomp_1080p30.mp4.hwshow [193 bytes] || ", "hits": 52 }, { "id": 4830, "url": "https://svs.gsfc.nasa.gov/4830/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Rio Branco Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Rio Branco and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || rio_branco_finalcomp.2009_print.jpg (1024x576) [331.8 KB] || rio_branco_finalcomp.2009_searchweb.png (320x180) [108.8 KB] || rio_branco_finalcomp.2009_thm.png (80x40) [7.4 KB] || rio_branco_finalcomp_1080p30.mp4 (1920x1080) [24.0 MB] || rio_branco_finalcomp_1080p30.webm (1920x1080) [3.4 MB] || Example_Composite (1920x1080) [0 Item(s)] || rio_branco_finalcomp_1080p30.mp4.hwshow [194 bytes] || ", "hits": 53 }, { "id": 4831, "url": "https://svs.gsfc.nasa.gov/4831/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Uatumã Biological Reserve Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the Uatumã Biological Reserve and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation to show the lake formation over time as well as the increased pasture and croplands to the west of the lake. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || dam_finalcomp.2009_print.jpg (1024x576) [216.7 KB] || dam_finalcomp.2009_searchweb.png (320x180) [80.9 KB] || dam_finalcomp.2009_thm.png (80x40) [5.9 KB] || dam_finalcomp_1080p30.mp4 (1920x1080) [22.1 MB] || Example_Composite (1920x1080) [0 Item(s)] || dam_finalcomp_1080p30.webm (1920x1080) [3.3 MB] || dam_finalcomp_1080p30.mp4.hwshow [187 bytes] || ", "hits": 41 }, { "id": 4832, "url": "https://svs.gsfc.nasa.gov/4832/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Itaituba and Uruara Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region between Itaituba and Uruara and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ruropolis_finalcomp.2009_print.jpg (1024x576) [345.6 KB] || ruropolis_finalcomp.2009_searchweb.png (320x180) [116.9 KB] || ruropolis_finalcomp.2009_thm.png (80x40) [7.6 KB] || ruropolis_finalcomp_1080p30.mp4 (1920x1080) [29.5 MB] || Sample_Composite (1920x1080) [0 Item(s)] || ruropolis_finalcomp_1080p30.webm (1920x1080) [3.5 MB] || ruropolis_finalcomp_1080p30.mp4.hwshow [193 bytes] || ", "hits": 23 }, { "id": 4833, "url": "https://svs.gsfc.nasa.gov/4833/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Northern Brazil Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. While zooming in a little closer an image of the United States fades in to get the relative size of the region. Next we cycle through over three decades of transformation in the region showing land use change over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || brazil_wide_finalcomp.2009_print.jpg (1024x576) [451.8 KB] || brazil_wide_finalcomp.2009_searchweb.png (320x180) [128.6 KB] || brazil_wide_finalcomp.2009_thm.png (80x40) [8.1 KB] || brazil_wide_finalcomp_1080p30.mp4 (1920x1080) [31.3 MB] || Sample_Composite (1920x1080) [0 Item(s)] || brazil_wide_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || brazil_wide_finalcomp_1080p30.mp4.hwshow [195 bytes] || ", "hits": 87 }, { "id": 13694, "url": "https://svs.gsfc.nasa.gov/13694/", "result_type": "Produced Video", "release_date": "2021-04-19T09:00:00-04:00", "title": "Tracking Amazon Deforestation", "description": "The Amazon is the largest tropical rainforest in the world, nearly as big as the continental United States. But every year, less of that forest is still standing. Today's deforestation across the Amazon frontier is tractors and bulldozers clearing large swaths to make room for industrial-scale cattle ranching and crops. Landsat satellite data is used to map land cover in Brazil with a historical perspective, going back to 1984.Music: Organic Circuit by Richard Birkin [PRS]; Into the Atmosphere by Sam Joseph Delves [PRS]; Ethereal Journey by Noé Bailleux [SACEM]; Wildfires by Magnum Opus [ASCAP]; Letter For Tomorrow by Anthony d’Amario [SACEM].Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || Amazon_clearing_poster.jpg (3840x2160) [2.4 MB] || Amazon_clearing_DSC_1491.jpg (6000x4000) [5.3 MB] || Amazon_clearing_poster_searchweb.png (320x180) [88.6 KB] || Amazon_clearing_poster_thm.png (80x40) [5.8 KB] || 13694_Amazon_deforestation_yt.mp4 (1920x1080) [417.9 MB] || 13694_Amazon_deforestation_tw.mp4 (1280x720) [89.4 MB] || 13694_Amazon_deforestation_yt.webm (1920x1080) [45.5 MB] || 13694_Amazon_deforestation-captions.en_US.srt [7.1 KB] || 13694_Amazon_deforestation-captions.en_US.vtt [6.9 KB] || ", "hits": 684 }, { "id": 4900, "url": "https://svs.gsfc.nasa.gov/4900/", "result_type": "Visualization", "release_date": "2021-04-19T00:00:00-04:00", "title": "Novo Progresso Deforestation Soccer Field Comparison", "description": "Animation begins with a stylized bright green soccer field. Soccer fields then fall into place over a recently deforested field showing the estimated size of the newly cleared field. The camera then pulls back to reveal all the recently deforested areas (shown in bright green) around Novo Progresso from 2017 to 2018. || soccer_comp.0700_print.jpg (1024x576) [161.5 KB] || soccer_comp.0700_searchweb.png (320x180) [85.8 KB] || soccer_comp.0700_thm.png (80x40) [14.1 KB] || soccer_2017_2018_1080p30.mp4 (1920x1080) [28.6 MB] || 2017_to_2018 (1920x1080) [0 Item(s)] || soccer_2017_2018_1080p30.webm (1920x1080) [5.7 MB] || soccer_2017_2018_1080p30.mp4.hwshow [190 bytes] || ", "hits": 59 }, { "id": 40388, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/", "result_type": "Gallery", "release_date": "2019-09-13T10:53:37-04:00", "title": "NASA Earth Science", "description": "NASA’s Earth Science Division (ESD) missions help us to understand our planet’s interconnected systems, from a global scale down to minute processes. Working in concert with a satellite network of international partners, ESD can measure precipitation around the world, and it can employ its own constellation of small satellites to look into the eye of a hurricane. ESD technology can track dust storms across continents and mosquito habitats across cities.\n\nFor more information:\nhttps://science.nasa.gov/earth-science", "hits": 190 }, { "id": 30215, "url": "https://svs.gsfc.nasa.gov/30215/", "result_type": "Hyperwall Visual", "release_date": "2019-03-15T18:00:00-04:00", "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. || ", "hits": 258 }, { "id": 12770, "url": "https://svs.gsfc.nasa.gov/12770/", "result_type": "Produced Video", "release_date": "2018-03-19T18:00:00-04:00", "title": "Harmonized Landsat 8 and Sentinel-2 Data", "description": "Landsat 8 and Sentinel-2 satellites have spectral and spatial similarities that make using their data together possible. When the data are used together observations can be more timely and accurate. The HLS project is an effort to \"harmonize\" the data of the two satellite programs so that they can be more easily used in unison. The ultimate goal is to obtain seamless 2-3 day global surface reflectance coverage at 30 meters that removes residual differences between the sensors due to spectral bandpass and view geometry. Currently the v1.3 HLS data set encompasses 82 global test sites that cover about 7% of the global land area.Using the processing power of the NASA Earth Exchange (NEX) computer cluster at NASA Ames, the HLS workflow atmospherically corrects data from the satellites, geographically tiles the Landsat data in a manor matching the Sentinel-2 tiling, and then corrects for different sensor view angles (Bidirectional Reflectance Distribution Function, or BRDF) and does a slight band pass adjustment for the Sentinel-2 data to create the harmonized 30-meter product.The HLS team includes researchers from NASA Goddard Space Flight Center, the University of Maryland, and NASA Ames Research Center. || ", "hits": 81 }, { "id": 12851, "url": "https://svs.gsfc.nasa.gov/12851/", "result_type": "Produced Video", "release_date": "2018-02-09T10:00:00-05:00", "title": "5th Anniversary of Landsat 8's Launch", "description": "In its five years in space, Landsat 8 made 26,500 orbits around Earth and captured 1.1 million \"scenes\" of our home planet, representing 16 percent of all the observations kept in the 45-year Landsat archive.Music: Divine Punishment by Christopher Franke [BMI]Complete transcript available. || 12851_Landsat8_5_year_large.01975_print.jpg (1024x576) [50.2 KB] || 12851_Landsat8_5_year_large.01975_searchweb.png (320x180) [7.1 KB] || 12851_Landsat8_5_year_large.01975_thm.png (80x40) [1.4 KB] || 12851_Landsat8_5_year_prores_1920.mov (1920x1080) [4.7 GB] || 12851_Landsat8_5_year_prores_1280.mov (1280x720) [2.5 GB] || 12851_Landsat8_5_year_large.mp4 (1920x1080) [191.3 MB] || 12851_Landsat8_5_year_youtube_1080.mp4 (1920x1080) [327.2 MB] || 12851_Landsat8_5_year_youtube_720.mp4 (1280x720) [315.6 MB] || 12851_Landsat8_5_year_twitter_720.mp4 (1280x720) [53.5 MB] || 12851_Landsat8_5_year.webm (960x540) [76.4 MB] || 12851_Landsat8_5_year-captions.en_US.srt [3.8 KB] || 12851_Landsat8_5_year-captions.en_US.vtt [3.8 KB] || ", "hits": 102 }, { "id": 12754, "url": "https://svs.gsfc.nasa.gov/12754/", "result_type": "Produced Video", "release_date": "2017-10-31T00:00:00-04:00", "title": "Landsat sensors: pushbroom vs whiskbroom", "description": "Landsat collects images in long narrow strips called “swaths.” Each swath is 185 kilometers (115 miles) wide and is 2,752 kilometers (1,710 miles) from the next adjacent swath taken that day. It takes 16 days for the swaths to overlap enough to image the whole Earth.Previous Landsat sensors swept back and forth across the swath like a whisk broom to collect data. The sensor looked at a calibration source at the end of every row, which means that measurements were consistent from orbit to orbit. But this sensor design requires fast-moving parts, which are more likely to break.—and which did on Landsat 7.In contrast, the instruments on Landsat 8 view across the entire swath at once, building strips of data like a pushbroom. This approach requires no moving parts and gives the sensor detectors greater dwell time. The pushbroom instrument is smaller and lighter than previous whisk broom instruments, but its calibration is much more complex given the large number of detectors.“It was a natural step to evolve to a pushbroom sensor. The technology was proven on other satellites, and we knew we could get better accuracy. The pushbroom has no moving parts. It is a newer and more reliable technology.” explains Terry Arvidson, senior project engineer.For more information on the future of Landsat instruments, read https://landsat.gsfc.nasa.gov/landsat-9/instruments/. || ", "hits": 316 }, { "id": 30162, "url": "https://svs.gsfc.nasa.gov/30162/", "result_type": "Hyperwall Visual", "release_date": "2017-09-01T12:00:00-04:00", "title": "Devastation and Recovery of Mt. St. Helens", "description": "In the nearly four decades since the eruption (1980), Mt. St. Helens has given scientists an unprecedented opportunity to witness the steps through which life reclaims a devastated landscape. The scale of the eruption and the beginning of reclamation in the Mt. St. Helens blast zone are documented in this series of images between 1979 and 2017. The older images are false-color (vegetation is red). Not surprisingly, the first noticeable recovery (late 1980s) takes place in the northwestern quadrant of the blast zone, farthest from the volcano. It is another decade (late 1990s) before the terrain east of Spirit Lake is considerably greener. By the end of the series, the only area (beyond the slopes of the mountain itself) that remains conspicuously bare at the scale of these images is the Pumice Plain. || ", "hits": 64 }, { "id": 40317, "url": "https://svs.gsfc.nasa.gov/gallery/vcearth-video-wall/", "result_type": "Gallery", "release_date": "2017-02-02T00:00:00-05:00", "title": "VC Earth Video Wall", "description": "list of videos to display on video wall in Earth science exhibit at Goddard Visitor Center", "hits": 10 }, { "id": 4483, "url": "https://svs.gsfc.nasa.gov/4483/", "result_type": "Visualization", "release_date": "2017-01-25T00:00:00-05:00", "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] || ", "hits": 54 }, { "id": 12444, "url": "https://svs.gsfc.nasa.gov/12444/", "result_type": "Produced Video", "release_date": "2016-12-12T02:20:00-05:00", "title": "Landsat's Global View of Ice Velocity", "description": "Ice from glaciers constantly flows into the ocean, but the speed the ice moves at changes. Landsat 8 provides near-real-time mapping of ice speed in nearly all the world’s frozen regions. Information like ice speed helps scientists study our home planet and its vulnerability to rising seas. || ", "hits": 51 }, { "id": 30797, "url": "https://svs.gsfc.nasa.gov/30797/", "result_type": "Hyperwall Visual", "release_date": "2016-08-08T00:00:00-04:00", "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. || ", "hits": 70 }, { "id": 30791, "url": "https://svs.gsfc.nasa.gov/30791/", "result_type": "Hyperwall Visual", "release_date": "2016-07-20T00:00:00-04:00", "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] || ", "hits": 17 }, { "id": 30788, "url": "https://svs.gsfc.nasa.gov/30788/", "result_type": "Hyperwall Visual", "release_date": "2016-07-18T00:00:00-04:00", "title": "Ice Loss in Glacier National Park, Montana", "description": "Changes in Grinnell and Blackfoot-Jackson Glaciers, false color images from Landsat || glaciernp_1080p.00001_print.jpg (1024x576) [233.6 KB] || glaciernp_1080p.00001_thm.png (80x40) [8.1 KB] || glaciernp_1080p.00001_searchweb.png (320x180) [124.2 KB] || glaciernp_1080p.mp4 (1920x1080) [11.7 MB] || glaciernp_720p.mp4 (1280x720) [6.2 MB] || glaciernp_720p.webm (1280x720) [2.8 MB] || glaciernp_2304p.mp4 (4096x2304) [33.2 MB] || glaciernp_360p.mp4 (640x360) [1.8 MB] || ", "hits": 74 }, { "id": 40302, "url": "https://svs.gsfc.nasa.gov/gallery/svsyoutube-candidates/", "result_type": "Gallery", "release_date": "2016-06-03T00:00:00-04:00", "title": "SVS YouTube Candidates", "description": "These are the proposed visualization candidates to be included in the SVS YouTube Channel.", "hits": 181 }, { "id": 4452, "url": "https://svs.gsfc.nasa.gov/4452/", "result_type": "Visualization", "release_date": "2016-06-02T09:50:00-04:00", "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] || ", "hits": 97 }, { "id": 30760, "url": "https://svs.gsfc.nasa.gov/30760/", "result_type": "Hyperwall Visual", "release_date": "2016-04-20T06:00:00-04:00", "title": "Reading the ABCs from Space", "description": "Fun with the letters of the alphabet", "hits": 1220 }, { "id": 12196, "url": "https://svs.gsfc.nasa.gov/12196/", "result_type": "Produced Video", "release_date": "2016-04-05T13:00:00-04:00", "title": "Southeast India Flooding, Dec. 2015", "description": "False-color image, acquired on December 8, 2015, by the Operational Land Imager (OLI) on Landsat 8, showing the extent of flooding in southeastern India after a deluge of rain a week earlier. The Somasila Reservoir and other water bodies in the region are significantly expanded compared to the image from October 21, 2015. || india_oli_2015342_after_print.jpg (1024x576) [243.7 KB] || india_oli_2015342_after.png (4096x2304) [18.0 MB] || india_oli_2015342_after_searchweb.png (320x180) [125.5 KB] || india_oli_2015342_after_thm.png (80x40) [7.1 KB] || southeast-india-flooding-dec-2015-after.hwshow [268 bytes] || ", "hits": 52 }, { "id": 30750, "url": "https://svs.gsfc.nasa.gov/30750/", "result_type": "Hyperwall Visual", "release_date": "2016-02-12T00:00:00-05:00", "title": "Changes in Zachariae Isstrom Glacier", "description": "Zachariae Isstrom glacier, close up || zachariae_isstrom_glacier_1080p_print.jpg (1024x576) [119.9 KB] || zachariae_isstrom_glacier_1080p.mp4 (1920x1080) [15.5 MB] || zachariae_isstrom_glacier_720p.mp4 (1280x720) [7.0 MB] || zachariae_isstrom_glacier_720p.webm (1280x720) [3.2 MB] || zi_glacier_2304p.mp4 (4096x2304) [65.5 MB] || zachariae_isstrom_glacier_360p.mp4 (640x360) [1.8 MB] || crop (4104x2304) [0 Item(s)] || ", "hits": 22 }, { "id": 4381, "url": "https://svs.gsfc.nasa.gov/4381/", "result_type": "Visualization", "release_date": "2015-10-14T12:00:00-04:00", "title": "Nebraska Water Usage", "description": "Animation begins with a wide view of the entire United States and then zooms down to an area in Nebraska where water usage studies have been done using Landsat-8 satellite data. The camera slowly pans across the area first showing true color Landsat-8 data, then transitioning to temperature data (in shades of orange and violet), then to ETRF (shades of green), ending with an extrusion of water use data (shades of blue) where the camera pulls back to show the entire area of interest. || neb_v2.2150_print.jpg (1024x576) [191.2 KB] || neb_v2.mp4 (1920x1080) [52.8 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || neb_v2.webm (1920x1080) [8.6 MB] || neb_v2.mp4.hwshow [335 bytes] || ", "hits": 32 }, { "id": 11974, "url": "https://svs.gsfc.nasa.gov/11974/", "result_type": "Produced Video", "release_date": "2015-08-17T19:00:00-04:00", "title": "Mining for Water in Kansas", "description": "This image from 2015, and the accompanying images from 1972, 1988, and 2011 show the transformation of Kansas farmland from dryland, rectangular fields to circular irrigated fields from center-pivot irrigation systems. The mining of ground water for agriculture has been a significant trend globally over the last half-century, and these images of a region in Kansas highlight the trend within the United States. || Garden_city_KS-2015_print.jpg (1024x975) [580.9 KB] || Garden_city_KS-2015_searchweb.png (320x180) [147.7 KB] || Garden_city_KS-2015_thm.png (80x40) [9.3 KB] || Garden_city_KS-2015.tif (3920x3736) [41.9 MB] || ", "hits": 53 }, { "id": 11973, "url": "https://svs.gsfc.nasa.gov/11973/", "result_type": "Produced Video", "release_date": "2015-08-17T18:00:00-04:00", "title": "Lakes On A Glacier", "description": "A view of Greenland's ice sheet from the NASA/USGS Landsat 8 satellite, narrated by Dr. Allen Pope. The data enables Dr. Pope to measure the depth of the lakes that form on the surface every summer as the snow and ice melts. The data in this image are from July 12, 2014, and shows the area just south of the Jakobshavn Glacier.For complete transcript, click here.Watch this video on the NASA Goddard YouTube channel. || G2015-056_Lakes_On_A_Glacier-print.jpg (1024x576) [430.4 KB] || G2015-056_Lakes_On_A_Glacier_MASTER_youtube_hq_searchweb.png (180x320) [71.3 KB] || G2015-056_Lakes_On_A_Glacier_MASTER_youtube_hq_thm.png (80x40) [4.8 KB] || G2015-056_Lakes_On_A_Glacier_MASTER_youtube_1920.mp4 (1920x1080) [132.4 MB] || G2015-056_Lakes_On_A_Glacier_MASTER_youtube_hq.mov (1280x720) [391.1 MB] || G2015-056_Lakes_On_A_Glacier_MASTER_appletv.m4v (1280x720) [78.9 MB] || G2015-056_Lakes_On_A_Glacier_MASTER.mpeg (1280x720) [560.6 MB] || G2015-056_Lakes_On_A_Glacier_MASTER_1280x720.wmv (1280x720) [80.6 MB] || G2015-056_Lakes_On_A_Glacier_MASTER_prores.mov (1280x720) [2.3 GB] || G2015-056_Lakes_On_A_Glacier_MASTER_prores-1920.mov (1920x1080) [4.3 GB] || G2015-056_Lakes_On_A_Glacier_MASTER.webm (960x540) [67.1 MB] || G2015-056_Lakes_On_A_Glacier_MASTER_appletv_subtitles.m4v (1280x720) [79.0 MB] || G2015-056_Lakes_On_A_Glacier-captions.en_US.srt [3.0 KB] || G2015-056_Lakes_On_A_Glacier-captions.en_US.vtt [3.0 KB] || G2015-056_Lakes_On_A_Glacier_MASTER_ipod_sm.mp4 (320x240) [28.0 MB] || ", "hits": 39 }, { "id": 4316, "url": "https://svs.gsfc.nasa.gov/4316/", "result_type": "Visualization", "release_date": "2015-06-17T17:00:00-04:00", "title": "Tropical Storm Bill Over Texas", "description": "Visualization of rainfall over Texas as Tropical Storm Bill further drenched the state with rain on June 17, 2015 at 6:11:27Z. Shades of blue indicate frozen precipitation in the atmosphere and shades of green to red show liquid precipitation. || bill1080.1220_print.jpg (1024x576) [105.2 KB] || bill1080.1220_searchweb.png (320x180) [72.0 KB] || bill1080.1220_thm.png (80x40) [6.0 KB] || bill1080.mp4 (1920x1080) [24.5 MB] || bill_720p.mp4 (1280x720) [12.7 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || 1280x720_16x9_30p (1280x720) [0 Item(s)] || bill_720p.webm (1280x720) [5.1 MB] || bill_4316.key [29.1 MB] || bill_4316.pptx [26.5 MB] || bill1080.mp4.hwshow [184 bytes] || ", "hits": 30 }, { "id": 11818, "url": "https://svs.gsfc.nasa.gov/11818/", "result_type": "Produced Video", "release_date": "2015-03-23T11:00:00-04:00", "title": "Wyoming Snowmelt 2013", "description": "Images from NASA/USGS Landsat satellites show the snowcover in Wyoming's Fremont Lake Basin throughout 2013. NASA scientists have used Landsat data from 1972-2013 to determine that the snow is melting 16 days earlier. || Wyoming_Snowmelt_2013_nasaportal_print.jpg (1024x576) [212.1 KB] || Wyoming_Snowmelt_2013_nasaportal_searchweb.png (320x180) [143.5 KB] || Wyoming_Snowmelt_2013_nasaportal_web.png (320x180) [143.5 KB] || Wyoming_Snowmelt_2013_nasaportal_thm.png (80x40) [8.7 KB] || Wyoming_Snowmelt_2013_youtube_hq.mov (1920x1080) [15.1 MB] || Wyoming_Snowmelt_2013_appletv.m4v (960x540) [6.1 MB] || Wyoming_Snowmelt_2013_prores.mov (1280x720) [234.7 MB] || Wyoming_Snowmelt_2013_1280x720.wmv (1280x720) [6.9 MB] || Wyoming_Snowmelt_2013_appletv.webm (960x540) [1.5 MB] || Wyoming_Snowmelt_2013_nasaportal.mov (640x360) [4.5 MB] || Wyoming_Snowmelt_2013_ipod_lg.m4v (640x360) [2.3 MB] || GSFC_20150323_Wyoming_m11818_Snowmelt.en_US.vtt [64 bytes] || Wyoming_Snowmelt_2013_ipod_sm.mp4 (320x240) [1.0 MB] || ", "hits": 36 }, { "id": 30496, "url": "https://svs.gsfc.nasa.gov/30496/", "result_type": "Hyperwall Visual", "release_date": "2015-03-17T00:00:00-04:00", "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 || ", "hits": 83 }, { "id": 4274, "url": "https://svs.gsfc.nasa.gov/4274/", "result_type": "Visualization", "release_date": "2015-02-26T00:00:00-05:00", "title": "NASA Earth Observing Fleet (February 2015)", "description": "A newer version of this visualization can be found here. || Orbital Fleet including SMAP without TRMM || fleet_withSMAP_noTRMM.2150_print.jpg (1024x576) [146.7 KB] || fleet_withSMAP_noTRMM_1920x1080_60fps.webm (1920x1080) [10.0 MB] || fleet_withSMAP_noTRMM_1920x1080_60fps.mp4 (1920x1080) [56.4 MB] || fleet_withSMAP_noTRMM (1920x1080) [0 Item(s)] || fleet_withSMAP_noTRMM_640x360_30fps.m4v (640x360) [15.1 MB] || without_TRMM (9600x3240) [0 Item(s)] || without_TRMM-ppm [0 Item(s)] || ", "hits": 34 }, { "id": 11779, "url": "https://svs.gsfc.nasa.gov/11779/", "result_type": "Produced Video", "release_date": "2015-02-16T16:00:00-05:00", "title": "Landsat 8 Crosses the Arctic", "description": "The Operational Land Imager (OLI) on Landsat 8 acquired this unbroken swath of images on June 21, 2014—the summer solstice—when the Sun stays above the horizon of the Arctic for at least 24 hours. While much of the region is still frozen in June, the ice is in various stages of melting.For complete transcript, click here.Watch this video on the NASA Earth Observatory YouTube channel.Music: Thin Ice Mining by Chris Constantinou [PRS], Paul Frazer [PRS] Melting Glacier by Chris Constantinou [PRS], Paul Frazer [PRS] Undiscovered Oceans by Aaron Yeddidia [BMI], Chris Lang [BMI], Eric Cunningham [BMI] Another Sleep by Chris Constantinou [PRS], Paul Frazer [PRS] || G2015-015_Arctic_Swath_MASTER_youtube_hq_print.jpg (1024x576) [110.7 KB] || G2015-015_Arctic_Swath_MASTER_youtube_hq_searchweb.png (320x180) [71.0 KB] || G2015-015_Arctic_Swath_MASTER_youtube_hq_web.png (320x180) [71.0 KB] || G2015-015_Arctic_Swath_MASTER_youtube_hq_thm.png (80x40) [6.1 KB] || G2015-015_Arctic_Swath_MASTER_youtube_hq.mov (1920x1080) [411.2 MB] || G2015-015_Arctic_Swath_MASTER_appletv.m4v (960x540) [122.8 MB] || G2015-015_Arctic_Swath_MASTER_1280x720.wmv (1280x720) [144.3 MB] || G2015-015_Arctic_Swath_MASTER_prores.mov (1280x720) [4.2 GB] || G2015-015_Arctic_Swath_MASTER_appletv.webm (960x540) [33.2 MB] || G2015-015_Arctic_Swath_MASTER_appletv_subtitles.m4v (960x540) [122.7 MB] || G2015-015_Arctic_Swath_MASTER_ipod_lg.m4v (640x360) [49.2 MB] || G2015-015_Arctic_Swath_MASTER_nasaportal.mov (640x360) [121.2 MB] || G2015-015_Arctic_Swath-caption.en_US.srt [145 bytes] || G2015-015_Arctic_Swath-caption.en_US.vtt [158 bytes] || G2015-015_Arctic_Swath_MASTER_ipod_sm.mp4 (320x240) [26.7 MB] || ", "hits": 77 }, { "id": 4271, "url": "https://svs.gsfc.nasa.gov/4271/", "result_type": "Visualization", "release_date": "2015-02-16T00:00:00-05:00", "title": "Landsat-8 Long Arctic Swath", "description": "Landsat 8 observed this arctic swath of data on June 21, 2014. This section captures Victoria Island, the boundary between the Nunavut and the Northwest Territories of Canada, and the Amundsen Gulf. The Prince Albert Sound and the Dolphin and Union Strait are still ice covered. || longer_Landsat8swathJune212014.3050_print.jpg (1024x576) [90.0 KB] || longer_Landsat8swathJune212014.3050_searchweb.png (320x180) [67.1 KB] || longer_Landsat8swathJune212014.3050_thm.png (80x40) [6.3 KB] || longer_Landsat8swathJune212014_1080.mp4 (1920x1080) [31.3 MB] || reveal (1920x1080) [256.0 KB] || longer_Landsat8swathJune212014_1080.webm (1920x1080) [12.7 MB] || ", "hits": 35 }, { "id": 30545, "url": "https://svs.gsfc.nasa.gov/30545/", "result_type": "Hyperwall Visual", "release_date": "2014-11-05T15:00:00-05:00", "title": "Tesso Nilo National Park", "description": "Landsat timeseries of Tesso Nilo National Park || tesso_nilo_1990-2014_9_image_grid_print.jpg (1024x576) [242.3 KB] || tesso_nilo_1990-2014_9_image_grid_web.png (320x180) [115.4 KB] || tesso_nilo_1990-2014_9_image_grid_searchweb.png (320x180) [115.4 KB] || tesso_nilo_1990-2014_9_image_grid_thm.png (80x40) [15.4 KB] || tesso_nilo_1990-2014_9_image_grid.tif (5760x3240) [53.4 MB] || tesso_nilo_1990-2014_9_image_grid.pptx [1.3 MB] || tesso_nilo_1990-2014_9_image_grid.key [35.9 MB] || ", "hits": 24 }, { "id": 4208, "url": "https://svs.gsfc.nasa.gov/4208/", "result_type": "Visualization", "release_date": "2014-09-10T00:00:00-04:00", "title": "NASA Earth Observing Fleet (August 2014)", "description": "This animation shows the orbits of NASA's fleet of Earth remote sensing observatories as of August 2014.The satellites include components of the A-Train:AquaAuraCloudSatCALIPSORecently launched missions:GPMOCO-2the International Space Stationand eleven others:AquariusSuomi NPPTerraSORCEGRACE Jason 2Landsat 7Landsat 8QuikSCATTRMMEO-1These satellites measure tropical rainfall, solar irradiance, clouds, sea surface height, ocean salinity, and other aspects of the global environment. Together, they provide a picture of the Earth as a system.This is an update of entry 3725. This update was created both for an annual presentation at the National Air and Space Museum (NASM) and for display on the NASA Center for Climate Simulation (NCCS) hyperwall, a 5 x 3 array of high-definition displays with a total pixel resolution of 9600 x 3240. The version for NASM starts with three flagship missions (Terra, Aqua, and Aura) then fades on the other spacecraft. The hyperwall version shows all of the spacecraft the entire time. The orbits are based on orbital elements with epochs on August 1, 2014. The NASM version is from 00:00:00 GMT to 12:10:26 GMT. The hyperwall version is from 00:00:00 GMT to 07:18:16 GMT. || ", "hits": 38 }, { "id": 11615, "url": "https://svs.gsfc.nasa.gov/11615/", "result_type": "Produced Video", "release_date": "2014-07-22T10:00:00-04:00", "title": "Landsat's Global Perspective", "description": "Celebrating the 40th anniversary of the 1972 launch of the Landsat 1 spacecraft, this is a \"greatest hits\" montage of Landsat data. Throughout the decades, the Landsat satellites have given us a detailed view of the changes to Earth's land surface. By collecting data in multiple wavelength regions, including thermal infrared wavelengths, the Landsat fleet has allowed us to study natural disasters, urban change, water quality and water usage, agriculture development, glaciers and ice sheets, and forest health.NASA and the U.S. Department of the Interior through the U.S. Geological Survey (USGS) jointly manage Landsat, and the USGS preserves a 40-year archive of Landsat images that is freely available data over the Internet. || ", "hits": 39 }, { "id": 11606, "url": "https://svs.gsfc.nasa.gov/11606/", "result_type": "Produced Video", "release_date": "2014-07-11T08:00:00-04:00", "title": "Landsat 8 Lunar Calibration", "description": "Every full moon, Landsat 8 turns its back on Earth. As the satellite's orbit takes it to the nighttime side of the planet, Landsat 8 pivots to point at the moon. It scans the distant lunar surface multiple times, then flips back around to continue its task of collecting land-cover information of the sunny side of Earth below.These monthly lunar scans are key to ensuring the land-imaging instrument (the Operational Land Imager) aboard Landsat 8 is detecting light consistently. For this, engineers need a consistent source of light to measure. And while there are some spots on Earth – like the Sahara Desert or other arid sites - that reflect a relatively stable amount of light, nothing on our planet beats the moon, which lacks an atmosphere and has an unchanging surface, barring the odd meteorite.The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. The first Landsat satellite launched in 1972 and Landsat 8 launched on February 11, 2013. || ", "hits": 185 }, { "id": 11506, "url": "https://svs.gsfc.nasa.gov/11506/", "result_type": "Produced Video", "release_date": "2014-03-20T00:00:00-04:00", "title": "Tracking Urban Change With Landsat", "description": "For helping communities across the United States stay up-to-date on their flood risk, the NASA/USGS Landsat satellites can take a bow. The Federal Emergency Management Agency uses Landsat images, which can illustrate urban changes, as a key indicator of sites where the agency should further investigate the flooding potential. With its archive of images capturing sprawling cities and new developments, Landsat can help FEMA track how building and construction is impacting an area’s landscapeEarth-observing Landsat satellites have been capturing images of the planet’s surface since 1972. Landsat 8 is the newest satellite in the program, a joint effort between NASA and the U.S. Geological Survey. It launched Feb. 11, 2013, and collects more than 400 images per day. New and archived Landsat data are available free to the public over the internet – and researchers have put the data to a multitude of uses. One is called the National Urban Change Indicator, or NUCI, created by MacDonald, Dettwiler, and Associates, LTD. It’s the results from a process that mines Landsat images over a 27-year period to identify areas of “permanent change,” where soil has been paved over for parking lots or other concrete structures.NUCI results act as a red flag for FEMA, helping the agency focus its mapping efforts and budget. But if maps identify a high risk of floods for a certain community, residents can take action, including elevating houses, building flood barricades, and more. || ", "hits": 74 }, { "id": 11490, "url": "https://svs.gsfc.nasa.gov/11490/", "result_type": "Produced Video", "release_date": "2014-02-26T16:00:00-05:00", "title": "Landsat 8 Celebrates First Year in Orbit", "description": "On Feb. 11, 2013, Landsat 8 launched into Earth orbit, riding on an Atlas V rocket. Weighing 6,133 pounds, Landsat 8 is the eigth satellite in the long-running Landsat program, jointly managed by NASA and the U.S. Geological Survey. At 16 feet tall, with a 32 foot long solar array, Landsat 8 orbits Earth at an altitude of 438 miles, moving at a speed of 16,760 miles per hour. It takes 99 minutes to complete one orbit, with about 14.5 orbits each day. There have been 5,319 orbits in the first year of Landsat 8's mission. It takes 16 days to build a complete scan of the globe, and on the 17th day the orbit cycle begins again.Between the two instruments on board, Landsat 8 records data in 11 separate wavelength regions spanning visible, infrared, and thermal radiation. The data is transmitted several times a day to the USGS Earth Resources and Observation Science Center in Sioux Falls, SD, where it is added to the archive of Landsat data stretching back to 1972. In its first year, users have downloaded 1,322,969 scenes of Landsat 8 data from the USGS.Landsat 8 continues the decades-long Landsat record of Earth's land surface at a scale where the impacts of humans and nature can be detected and monitored over time. Every continent, every season, every year, at a resolution that can distinguish an area the size of a baseball field. With help from Landsat we can monitor the cultivation of our food crops, quantify our precious water resources as they ebb and flow, and track deforestation globally. Landsat data constitute a key ingredient in decision making for agriculture, climate research, disaster mitigation, ecosystems, forestry, human health, urban growth, and water management. || ", "hits": 117 }, { "id": 11491, "url": "https://svs.gsfc.nasa.gov/11491/", "result_type": "Produced Video", "release_date": "2014-02-24T19:00:00-05:00", "title": "Landsat 8 Onion Skin", "description": "Landsat satellites circle the globe every 99 minutes, collecting data about the land surfaces passing underneath. After 16 days, the Landsat satellite has passed over every spot on the globe, and recorded data in 11 different wavelength regions. The individual wavelength bands can be combined into color images, with different combinations of the 11 bands revealing different information about the condition of the land cover.The data for this video was collected by Landsat 5 on November 10, 2011. || ", "hits": 51 }, { "id": 11484, "url": "https://svs.gsfc.nasa.gov/11484/", "result_type": "Produced Video", "release_date": "2014-02-18T12:00:00-05:00", "title": "Engineering That Enables Science", "description": "A series of programs that define the spirit of engineering and showcase the unique capabilities within Goddard's Detector Systems Branch. || ", "hits": 12 }, { "id": 11481, "url": "https://svs.gsfc.nasa.gov/11481/", "result_type": "Produced Video", "release_date": "2014-02-11T10:00:00-05:00", "title": "Landsat Orbit Swath", "description": "This visualization of the orbit of Landsat 8 is narrated by Jim Irons, LDCM Project Scientist at NASA's Goddard Space Flight Center.As a Landsat satellite flies over the surface of the Earth the instruments aboard the satellite are able to view a swath 185 kilometers wide and collect images along that swath as the satellite proceeds through its orbit. The spacecraft travels at approximately 4.7 miles per second. The satellite travels from north to south while it's over the sunlit portion of the Earth, and travels south to north over the dark side of the Earth. One orbit takes about 99 minutes, so that's about approximately 15 orbits in a 24 hour period. The orbit's maintained such that after 16 days, the entire surface of the Earth has come within view of the Landsat instruments, while sunlit, and then on day 17 the first ground path is repeated. So we get to view the entire surface once every 16 days. || ", "hits": 139 }, { "id": 20205, "url": "https://svs.gsfc.nasa.gov/20205/", "result_type": "Animation", "release_date": "2014-02-07T15:21:00-05:00", "title": "LDCM Deploy and Beauty Pass", "description": "A shot of LDCM over Earth || baab130000077_print.jpg (1024x576) [97.8 KB] || baab1300_web.png (320x180) [79.3 KB] || baab1300_thm.png (80x40) [6.4 KB] || LDCM-Beauty (1280x720) [16.0 KB] || LDCM-Beauty1-final-END.mov (1280x720) [204.9 MB] || LDCM-Beauty1-final-END.webmhd.webm (960x540) [2.7 MB] || ", "hits": 16 }, { "id": 3996, "url": "https://svs.gsfc.nasa.gov/3996/", "result_type": "Visualization", "release_date": "2014-01-27T00:00:00-05:00", "title": "NASA Earth Observing Fleet including GPM", "description": "A newer version of this visualization can be found here.This animation shows the orbits of NASA's current (as of January 2014) fleet of Earth remote sensing observatories. The satellites include components of the A-Train (Aqua, Aura, CloudSat, CALIPSO), two satellites launched in 2011 (Aquarius, Suomi NPP), and eleven others (ACRIMSAT, SORCE, GRACE, Jason 1 and 2, Landsat 7, Landsat 8, GPM, QuikSCAT, TRMM, and EO-1). These satellites measure tropical rainfall, solar irradiance, clouds, sea surface height, ocean salinity, and other aspects of the global environment. Together, they provide a picture of the Earth as a system.This is an update of visualization #4070. The orbits are based on orbital elements with epochs in April of 2013. The visualization spans twenty-nine hours, from 04:10 UT on April 14, 2013 to 09:24 UT on Aril 15, 2013. Some simulated orbits where added, such as GPM, as they had not launched at the time these visualizations were created.Two versions of this visualization are provided. The first colors the orbits blue except that TRMM is colored green and GPM is colored red. The second visualization colors all of the orbits blue. || ", "hits": 24 }, { "id": 11433, "url": "https://svs.gsfc.nasa.gov/11433/", "result_type": "Produced Video", "release_date": "2013-12-16T00:00:00-05:00", "title": "Landsat Program Timeline", "description": "The Landsat program offers the longest continuous global record of the Earth’s surface; it continues to deliver visually stunning and scientifically valuable images of our planet. This short video highlights Landsat’s many benefits to society.In 1975, NASA Administrator Dr. James Fletcher predicted that if one space age development would save the world, it would be Landsat and its successor satellites. Since the early 1970s, Landsat has continuously and consistently archived images of Earth; this unparalleled data archive gives scientist the ability to assess changes in Earth’s landscape.For over 40 years, the Landsat program has collected spectral information from Earth’s surface, creating a historical archive unmatched in quality, detail, coverage, and length.“It was the granddaddy of them all, as far as starting the trend of repetitive, calibrated observations of the Earth at a spatial resolution where one can detect man’s interaction with the environment,” Dr. Darrel Williams, the Landsat 7 Project Scientist, states about Landsat.Landsat sensors have a moderate spatial-resolution. You cannot see individual houses on a Landsat image, but you can see large man-made objects such as highways. This is an important spatial resolution because it is coarse enough for global coverage, yet detailed enough to characterize human-scale processes such as urban growth, deforestation, agriculture water use, and more. || ", "hits": 428 }, { "id": 30476, "url": "https://svs.gsfc.nasa.gov/30476/", "result_type": "Hyperwall Visual", "release_date": "2013-11-01T15:00:00-04:00", "title": "Mount Etna", "description": "Twin volcanic plumes—one of ash, one of gas—rose from Sicily’s Mount Etna on the morning of October 26, 2013. L’Istituto Nazionale di Geofisica e Vulcanologia (INGV) Osservatorio Etneo (National Institute of Geophysics and Volcanology Etna Observatory) reported that Etna was experiencing its first paroxysm in six months. Multiple eruption columns are common at Etna, a result of complex plumbing within the volcano. The Northeast Crater, one of several on Etna’s summit, was emitting the ash column, while the New Southeast Crater was simultaneously venting mostly gas.This natural-color image collected by Landsat 8 shows the view from space at 11:38 a.m. local time. The towering, gas-rich plume cast a dark shadow over the lower, ash-rich plume and Etna’s northwestern flank. Relatively fresh lava flows (less than a century or so old) are dark gray; vegetation is green; and the tile-roofed buildings of Bronte and Biancavilla lend the towns an ochre hue. || ", "hits": 88 }, { "id": 30469, "url": "https://svs.gsfc.nasa.gov/30469/", "result_type": "Hyperwall Visual", "release_date": "2013-11-01T12:00:00-04:00", "title": "Landsat Data Help Water-Resource Managers", "description": "In the Western United States between 80 and 90% of freshwater is used for agriculture. In Southern California irrigated farmland stretches southward across the desert from the Salton Sea—an artificial inland sea—to the Mexico border. In the natural-color image [left] acquired on May 15, 2013, by Landsat 8’s Operational Land Imager, blocks of square farmland appear in shades of green and tan, while urban areas such as El Centro, California and Mexicali, Mexico appear in shades of gray. Accurate estimates of total crop area provided by Landsat satellites can be used to help forecast commodities in the United States and the world food market. On that same day, thermal measurements from Landsat 8’s Thermal Infrared Sensor [right] show different temperatures between crop fields as well as urban and desert areas. Cooler areas (e.g., irrigated crops) appear as dark purple and red shades, while warmer areas (e.g., urban and desert areas) appear as shades of bright yellow and white. Plants cool down when they transpire, so the combination of water evaporating from the plants and the ground (i.e., evapotranspiration) lowers the temperature of the irrigated land. Pixels representing cooler areas in thermal images from TIRS help water-resource managers determine where water is being used for irrigation, allowing them to make management decisions on water distribution to preserve this scarce resource. When an earlier design of Landsat 8 did not include a thermal infrared band, the Western States Water Council advocated for its inclusion.Used in 2014 Calendar. || ", "hits": 31 }, { "id": 30273, "url": "https://svs.gsfc.nasa.gov/30273/", "result_type": "Hyperwall Visual", "release_date": "2013-10-21T12:00:00-04:00", "title": "Spring on DC's Doorstep", "description": "On April 2, 2013, the Landsat Data Continuity Mission (LDCM) spacecraft obtained this true-color view of Washington, DC, and the surrounding suburban region. The image was made with 15-meter (49-feet) panchromatic spatial resolution data from the Observational Land Imager (OLI) onboard LDCM. Grey and white shades depict urban areas (e.g., city streets, buildings, sidewalks), while vegetation appears as shades of brown and dark green. In Washington, DC, gridded streets expand from the city’s center and the irrigated lawns of the National Mall, memorial parks, and golf courses appear green. Landsat satellites provide global coverage of the Earth’s surface every season of the year. Scientists use Landsat images like this one to study how land-cover and land-use change over time. Vegetation for example, appears mostly brown in this image because it was taken in early spring when most vegetation is still dormant following winter months. However, in just a few short weeks, this same scene will look very different (i.e., much “greener”) and LDCM will get a much different view of our Nation’s capital. || ", "hits": 34 }, { "id": 30059, "url": "https://svs.gsfc.nasa.gov/30059/", "result_type": "Hyperwall Visual", "release_date": "2013-07-10T09:00:00-04:00", "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. || ", "hits": 39 }, { "id": 4062, "url": "https://svs.gsfc.nasa.gov/4062/", "result_type": "Visualization", "release_date": "2013-06-30T00:00:00-04:00", "title": "Georgia Urban Sprawl", "description": "One of the many ways to keep FEMA maps up to date is by tracking urban change using satellite imagery. Take this suburb of Atlanta, Georgia as an example. By mining Landsat images spanning a 27 year period, it's possible to identify areas where the land surface has permanently changed and affect the areas ability to absorb water.The river to the Northwest is the Chattahoochee River. The \"Y\"-shaped roads are Interstate 85 (upper branch) and Route 316 (lower branch). As the years go by, one can see the Mall of Georgia being built in the upper middle part of the screen, immediately north of Interstate 85. Surrounding neighborhoods sprout up throughout this whole area as we move through time. This animation was created for use in a NASA video on water run-off changes related to urban sprawl titled \"FEMA Risk Map\". || ", "hits": 82 }, { "id": 4070, "url": "https://svs.gsfc.nasa.gov/4070/", "result_type": "Visualization", "release_date": "2013-06-26T11:00:00-04:00", "title": "NASA Earth Observing Fleet including Landsat 8", "description": "A newer version of this visualization can be found here.This animation shows the orbits of NASA's current (as of May 2013) fleet of Earth remote sensing observatories. The satellites include components of the A-Train (Aqua, Aura, CloudSat, CALIPSO), two satellites launched in 2011 (Aquarius, Suomi NPP), and nine others (ACRIMSAT, SORCE, GRACE, Jason 1 and 2, Landsat 7, Landsat 8, QuikSCAT, TRMM, and EO-1). These satellites measure tropical rainfall, solar irradiance, clouds, sea surface height, ocean salinity, and other aspects of the global environment. Together, they provide a picture of the Earth as a system.This is an update of visualization #3725. It was created for display on the NASA Center for Climate Simulation (NCCS) hyperwall, a 5 x 3 array of high-definition displays with a total pixel resolution of 6840 x 2304. The orbits are based on orbital elements with epochs in April of 2013. The visualization spans twenty-nine hours, from 04:10 UT on April 14, 2013 to 09:24 UT on Aril 15, 2013. || ", "hits": 56 }, { "id": 11267, "url": "https://svs.gsfc.nasa.gov/11267/", "result_type": "Produced Video", "release_date": "2013-05-30T00:00:00-04:00", "title": "Come Fly With Me", "description": "Have you ever wondered what it would be like to soar like a satellite, watching the world pass beneath you? The dream is elusive (except for astronauts), but through imagery from the Landsat Data Continuity Mission (LDCM), we can take a vicarious flight. In mid-April 2013, the newest satellite in the Landsat family scanned a 120-mile-wide swath of land from northern Russia to South Africa. That flight path afforded us a chance to assemble a flyover view of what LDCM's Operational Land Imager saw, including clouds, haze, and varying angles of sunlight. The full mosaic and animation stretches more than 6,000 miles and includes 56 adjoining, natural-color scenes stitched together into a seamless swath. Watch the videos to see highlights from the animation. || ", "hits": 19 }, { "id": 11289, "url": "https://svs.gsfc.nasa.gov/11289/", "result_type": "Produced Video", "release_date": "2013-05-23T12:00:00-04:00", "title": "Landsat 8 Launch footage", "description": "The Landsat Data Continuity Mission launched on February 11, 2013, from Vandenberg Air Force Base aboard an Atlas V-401 rocket.LDCM will be renamed Landsat 8 when operations are handed over to the US Geological Survey on May 30, 2013. NASA and the U.S. Department of the Interior through the U.S. Geological Survey (USGS) jointly manage Landsat, and the USGS preserves a 40-year archive of Landsat images that is freely available data over the Internet. || ", "hits": 94 }, { "id": 11290, "url": "https://svs.gsfc.nasa.gov/11290/", "result_type": "Produced Video", "release_date": "2013-05-23T12:00:00-04:00", "title": "Pivot Irrigation in Saudi Arabia", "description": "Saudi Arabia is drilling for a resource possibly more precious than oil.Over the last 24 years, it has tapped hidden reserves of water to grow wheat and other crops in the Syrian Desert. This time series of data shows images acquired by three different Landsat satellites operated by NASA and the U.S. Geological Survey.The green fields that dot the desert draw on water that in part was trapped during the last Ice Age. In addition to rainwater that fell over several hundred thousand years, this fossil water filled aquifers that are now buried deep under the desert's shifting sands.Saudi Arabia reaches these underground rivers and lakes by drilling through the desert floor, directly irrigating the fields with a circular sprinkler system. This technique is called center-pivot irrigation.Because rainfall in this area is now only a few centimeters (about one inch) each year, water here is a non-renewable resource. Although no one knows how much water is beneath the desert, hydrologists estimate it will only be economical to pump water for about 50 years.In this series of four Landsat images, the agricultural fields are about one kilometer (.62 miles) across. The images were created using reflected light from the short wave-infrared, near-infrared, and green portions of the electromagnetic spectrum (bands 7, 4, and 2 from Landsat 4 and 5 TM and Landsat 7 ETM+ sensors). Using this combination of wavelengths, healthy vegetation appears bright green while dry vegetation appears orange. Barren soil is a dark pink, and urban areas, like the town of Tubarjal at the top of each image, have a purple hue.Landsat 4 launched in 1982 and provided scientific data for 11 years until 1993. NASA launched Landsat 5 in 1984 and it ran a record-breaking 28 years, sending back what was likely its last data in 2011. Landsat 7 is still up and running; it was launched in 1999. The data from these and other Landsat satellites has been instrumental in increasing our understanding of forest health, storm damage, agricultural trends, urban growth, and many other ongoing changes to our land.NASA and the U.S. Department of the Interior through the U.S. Geological Survey (USGS) jointly manage Landsat, and the USGS preserves a 40-year archive of Landsat images that is freely available data over the Internet. Download a still image showing four of the years: 1987, 1991, 2000, and 2012. || ", "hits": 302 }, { "id": 11249, "url": "https://svs.gsfc.nasa.gov/11249/", "result_type": "Produced Video", "release_date": "2013-05-15T11:00:00-04:00", "title": "Landsat 8 Long Swath", "description": "After two months of on-orbit testing and calibration, Landsat 8 (previously called LDCM) fired its propulsion system on April 12, 2013, and ascended to its final orbit 438 miles (705 km) above Earth. The animation, made from scenes taken a week later on April 19, allows viewers to fly with the satellite from its final operating orbit. 56 continuous Landsat scenes from that orbit have been stitched together into a seamless view from Russia to South Africa. Orbiting at 16,800 mph (27,000 kph), Landsat 8 made this flight in just more than 20 minutes. The animation moves faster, covering 5,665 miles (9,117 kilometers) in nearly 16 minutes. You would have to be moving about 21,930 mph (35,290 kph) to get a similar view — only slightly slower than the Apollo astronauts who entered Earth's orbit from the moon at 25,000 mph (40,200 kph). We pan down the long swath of data from Landsat 8, starting in northern Russia, passing over the Caucasus Mountains, the Republic of Georgia, Armenia, Turkey (passing Lake Van), Iraq, and Saudi Arabia (the cities of Medina and Jeddah), crossing the Red Sea into Eritrea, Ethiopia, the Kenya-Uganda border and catching the eastern edge of Lake Victoria, Tanzania, Zimbabwe, a little bit of Mozambique, and ending in northern South Africa. || ", "hits": 59 }, { "id": 4076, "url": "https://svs.gsfc.nasa.gov/4076/", "result_type": "Visualization", "release_date": "2013-05-15T00:00:00-04:00", "title": "Landsat-8 Long Swath", "description": "Landsat-8 launched February 11th, 2013. This visualization shows one of the first full swaths of data taken on April 19th, 2013, only one week after Landsat-8 ascended to its final altitude of 438 miles (705 km). || ", "hits": 80 }, { "id": 4040, "url": "https://svs.gsfc.nasa.gov/4040/", "result_type": "Visualization", "release_date": "2013-02-05T00:00:00-05:00", "title": "Florida Everglades LDCM Band Remix", "description": "The Landsat Data Continuity Mission (LDCM) is the future of Landsat satellites. LDCM launched on February 11, 2013. Landsat satellites view the Earth through a number of different bands. Each band captures imagery in different spectral wavelengths. Scientists can combine these bands a number of ways to obtain information about the satellite imagery. This visualization shows several different band combinations over the Florida Everglades. || ", "hits": 41 }, { "id": 4025, "url": "https://svs.gsfc.nasa.gov/4025/", "result_type": "Visualization", "release_date": "2013-01-20T00:00:00-05:00", "title": "Florida Everglades Onion Skin Stills", "description": "Landsat satellites view the Earth through a number of different bands. Each band captures imagery in different spectral wavelengths. Scientists can then combine these bands a number of ways to obtain information about the satellite imagery. These still images show several different band combinations alongside the resulting imagery over the Florida Everglades.These still images were produced for use on NASA travelling exhibits. || ", "hits": 28 }, { "id": 4032, "url": "https://svs.gsfc.nasa.gov/4032/", "result_type": "Visualization", "release_date": "2013-01-14T00:00:00-05:00", "title": "Urban Sprawl in Beijing, China (Hyperwall version)", "description": "Beijing is one of the oldest, and now, one of the most crowded cities in the world. Established as a city in 1045 BC, King Wu was the first to declare it as a capital in 1057 BC. Having served as the capital of the Liao, Jin, Yuan, Ming and Qing Dynasties, Beijing is now the capital of the People's Republic of China. In these Landsat images, the explosive growth of this ancient city is clearly visible. In 1972, only about 7.89 million people lived there — but by 2010 the population swelled to more than 12 million. This increase in the city's size corresponds to the opening of China to the Western world in the 1970s. Up until 1979, the government restricted housing in the city, limiting it to the confines of the \"Outer City.\" Previously a walled fortress, its outline is still visible today due to the build up of canals and roads along the path of the original wall. Inside this rectangular boundary is the ancient heart of the capital, the moat-lined Forbidden City. Called forbidden because anyone entering needed royal permission, this is where the Imperial Palace still stands, once home to 500 years of Chinese emperors. It was Kublai Khan who established the Forbidden City in 1260 A.D. He called it Khanbaliq but Italian explorer Marco Polo called it Cambuluc. It still stands as Beijing's city center. In 1421 the Chinese took the city back and gave it its current name of Beijing. Today, Beijing is only limited by the rugged Taihang Mountains that run to the west and northwest of the city, pushing the population to spread to the south and east across the relatively flat coastal plain. || ", "hits": 73 }, { "id": 11035, "url": "https://svs.gsfc.nasa.gov/11035/", "result_type": "Produced Video", "release_date": "2013-01-10T11:00:00-05:00", "title": "Landsat 8 Video File", "description": "The Landsat Data Continuity Mission (LDCM) is a collaboration between NASA and the U.S. Geological Survey that will continue the Landsat Program's 40-year data record of monitoring Earth's landscapes from space. LDCM will expand and improve on that record with observations that advance a wide range of Earth sciences and contribute to the management of agriculture, water and forest resources.The LDCM observatory was successfully launched aboard an Atlas V-401 rocket on February 11, 2013, from Vandenberg Air Force Base. The operation of the satellite will be handed over to the U.S. Geological Survey on May 30, 2013. || ", "hits": 21 }, { "id": 11177, "url": "https://svs.gsfc.nasa.gov/11177/", "result_type": "Produced Video", "release_date": "2013-01-10T11:00:00-05:00", "title": "LDCM Launch Animation", "description": "The Landsat Data Continuity Mission (LDCM) is a collaboration between NASA and the U.S. Geological Survey that will continue the Landsat Program's 40-year data record of monitoring Earth's landscapes from space. LDCM will expand and improve on that record with observations that advance a wide range of Earth sciences and contribute to the management of agriculture, water and forest resources.The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. The first Landsat satellite launched in 1972 and the next satellite in the series, the Landsat Data Continuity Mission — LDCM, is scheduled to launch on February 11, 2013.LDCM will launch from Vandenburg Air Force Base using an Atlas V-401 rocket from ULA. || ", "hits": 18 }, { "id": 11166, "url": "https://svs.gsfc.nasa.gov/11166/", "result_type": "Produced Video", "release_date": "2013-01-10T10:00:00-05:00", "title": "Landsat 8 Overview", "description": "The Landsat Data Continuity Mission (LDCM) is a collaboration between NASA and the U.S. Geological Survey that will continue the Landsat Program's 40-year data record of monitoring Earth's landscapes from space. LDCM will expand and improve on that record with observations that advance a wide range of Earth sciences and contribute to the management of agriculture, water and forest resources.The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. The first Landsat satellite launched in 1972 and the next satellite in the series, the Landsat Data Continuity Mission — LDCM, is scheduled to launch on February 11, 2013 || ", "hits": 40 }, { "id": 4012, "url": "https://svs.gsfc.nasa.gov/4012/", "result_type": "Visualization", "release_date": "2012-12-07T00:00:00-05:00", "title": "Life Histories from Landsat: 25 Years in the Pacific Northwest Forest — North/South Tour", "description": "This visualization shows a sequence of Landsat-based data in the Pacific Northwest. There is one data set for each year representing an aggregate of the approximate peak of the growing season (around August). The data was created using a sophisticated algorithm called LandTrendr. LandTrendr analyzes 'stacks' of Landsat scenes, looking for statistical trends in the data and filtering out noise. The algorithm evaluated data from more than 1,800 Landsat Thematic Mapper images, nearly 1 Terabyte of raw imagery, to define the life histories of each of more than 336 million pixels on the landscape. The resulting trends identify periods of stability and change that are displayed as colors.In these false color images, the colors represent types of land; for example, blue areas are forests; orange/yellow areas are agriculture; and, purple areas are urban. Each 'stack' is representative of a Landsat scene. There are 22 stacks stitched together to cover most of the U.S. Pacific Northwest. This processed data is used for science, natural resource management, and education.We move in to the southwest corner of the data set near Redwood National Park and proceed on a slow tour through a portion of the data set. Time loops from 1984 through 2011 as we move. We move over to Mount Shasta, then up the Cascade Range, passing Crater Lake National Park, the Three Sisters, Mount Jefferson, Mount Hood, Mount Saint Helens, Mount Adams, Mount Rainier, Mount Baker, and the North Cascades National Park. Next we move west over Seattle and pass over Olympic National Park, then we head back south down the Willamette Valley back to Redwood National Park.Don't miss this related narrated visualization || ", "hits": 116 }, { "id": 4013, "url": "https://svs.gsfc.nasa.gov/4013/", "result_type": "Visualization", "release_date": "2012-12-07T00:00:00-05:00", "title": "Life Histories from Landsat: 25 Years in the Pacific Northwest Forest", "description": "This visualization shows a sequence of Landsat-based data in the Pacific Northwest. There is one data set for each year representing an aggregate of the approximate peak of the growing season (around August). The data was created using a sophisticated algorithm called LandTrendr. LandTrendr analyzes 'stacks' of Landsat scenes, looking for statistical trends in the data and filtering out noise. The algorithm evaluated data from more than 1,800 Landsat Thematic Mapper images, nearly 1 Terabyte of raw imagery, to define the life histories of each of more than 336 million pixels on the landscape. The resulting trends identify periods of stability and change that are displayed as colors.In these false color images, the colors represent types of land; for example, blue areas are forests; orange/yellow areas are agriculture; and, purple areas are urban. Each 'stack' is representative of a Landsat scene. There are 22 stacks stitched together to cover most of the U.S. Pacific Northwest. This processed data is used for science, natural resource management, and education.The visualization zooms into the Portland area showing different types of land such as agricultural, urban, and forests. We move south to a region that was evergreen forest for a number of years (blue), then was clear cut in 1999 (orange), then began to regrow (yellow). A graph shows the trajectories for a particular location in the clearcut as the years repeat. The dots represent the original data from Landsat; and, the line represents LandTrendr analysis. We move over to the Three Sisters region to show an area of pine forest that becomes infested with bark beetles in 2004. Next, we move to the southern foothills of Mount Hood where a budworm infestation is in progress; around 1991, the worms move on to another area and shrubs start to regrow. Next wemove to the east side of Mount Rainier National Park to see another budworm outbreak followed by shrub regrowth. Finally, we move to the west of Mount Rainier where we can see widespread clear cutting outside of the park, but no clear cutting inside the protected park land.Don't miss this related tour of the region. || ", "hits": 53 }, { "id": 11097, "url": "https://svs.gsfc.nasa.gov/11097/", "result_type": "Produced Video", "release_date": "2012-09-27T09:00:00-04:00", "title": "Landsat: Making a Difference, One User At A Time", "description": "The Landsat Data Continuity Mission will continue the legacy of the 40-year Landsat program. This video examines two uses of Landsat data to monitor agriculture. Both wineries and timber companies rely on Landsat data to check whether their crops are getting enough (or too much) water and fertilizer.For complete transcript, click here. || G2012-071_Landsat_Users_Ag_MASTER_ipod_lg.01727_print.jpg (1024x576) [21.4 KB] || G2012-071_Landsat_Users_Ag_MASTER_ipod_lg_web.png (320x180) [19.5 KB] || G2012-071_Landsat_Users_Ag_MASTER_ipod_lg_thm.png (80x40) [2.4 KB] || G2012-071_Landsat_Users_Ag_MASTER_720x480.webmhd.webm (960x540) [53.6 MB] || G2012-071_Landsat_Users_Ag_MASTER_ipod_lg.m4v (640x360) [42.5 MB] || G2012-071_Landsat_Users_Ag_MASTER_ipod_sm.mp4 (320x240) [22.8 MB] || GSFC_20120927_Landsat_m11097_Users_Ag.en_US.srt [4.5 KB] || GSFC_20120927_Landsat_m11097_Users_Ag.en_US.vtt [4.3 KB] || G2012-071_Landsat_Users_Ag_MASTER_youtube_hq.mov (1280x720) [133.3 MB] || G2012-071_Landsat_Users_Ag_MASTER_appletv.m4v (960x540) [104.9 MB] || G2012-071_Landsat_Users_Ag_MASTER_1280x720.wmv (1280x720) [120.8 MB] || G2012-071_Landsat_Users_Ag_MASTER_prores.mov (1280x720) [3.5 GB] || G2012-071_Landsat_Users_Ag_MASTER.mov (640x360) [101.6 MB] || G2012-071_Landsat_Users_Ag_MASTER_720x480.wmv (720x480) [112.3 MB] || G2012-071_Landsat_Users_Ag_MASTER_youtube_hq.hwshow [65 bytes] || ", "hits": 87 }, { "id": 11063, "url": "https://svs.gsfc.nasa.gov/11063/", "result_type": "Produced Video", "release_date": "2012-08-09T00:00:00-04:00", "title": "Trading Spaces", "description": "In the last forty years, Phoenix has grown to become one of the most populated places in the United States. The city and its surrounding area currently hold spots on the U.S. Census Bureau's top ten lists of cities and counties, ranking sixth and fourth, respectively. As Phoenix evolved from an agricultural to industrial economy, farmland was pushed to the outskirts in order to make way for suburban developments that stretched southeast and northwest of the city. Between 1974 and 2007, nearly 250,000 acres of agricultural fields were lost. During the same period a fourfold increase in residents brought the region's population to just below the 4 million mark. Witness the transformation of Phoenix in the time-lapse video of false color images captured by USGS-NASA Landsat satellites between 1972 and 2011. || ", "hits": 29 }, { "id": 3791, "url": "https://svs.gsfc.nasa.gov/3791/", "result_type": "Visualization", "release_date": "2012-07-23T00:00:00-04:00", "title": "Urban Sprawl in Beijing, China", "description": "Beijing is one of the oldest, and now, one of the most crowded cities in the world. Established as a city in 1045 BC, King Wu was the first to declare it as a capital in 1057 BC. Having served as the capital of the Liao, Jin, Yuan, Ming and Qing Dynasties, Beijing is now the capital of the People's Republic of China. In these Landsat images, the explosive growth of this ancient city is clearly visible. In 1972, only about 7.89 million people lived there — but by 2010 the population swelled to more than 12 million. This increase in the city's size corresponds to the opening of China to the Western world in the 1970s. Up until 1979, the government restricted housing in the city, limiting it to the confines of the \"Outer City.\" Previously a walled fortress, its outline is still visible today due to the build up of canals and roads along the path of the original wall. Inside this rectangular boundary is the ancient heart of the capital, the moat-lined Forbidden City. Called forbidden because anyone entering needed royal permission, this is where the Imperial Palace still stands, once home to 500 years of Chinese emperors. It was Kublai Khan who established the Forbidden City in 1260 A.D. He called it Khanbaliq but Italian explorer Marco Polo called it Cambuluc. It still stands as Beijing's city center. In 1421 the Chinese took the city back and gave it its current name of Beijing. Today, Beijing is only limited by the rugged Taihang Mountains that run to the west and northwest of the city, pushing the population to spread to the south and east across the relatively flat coastal plain. || ", "hits": 122 }, { "id": 3953, "url": "https://svs.gsfc.nasa.gov/3953/", "result_type": "Visualization", "release_date": "2012-07-23T00:00:00-04:00", "title": "Mountain Top Removal and Deforestation Throughout the Eastern Seaboard from 2006-2010", "description": "Humans actively change the Earth's landscape. Some of these changes can be seen from space through careful analysis of satellite data. In this visualization, we fly over the United States eastern seaboard highlighting large areas of deforestation and mountain top removal (in shades of orange and red) throughout the region. NASA scientists have worked on complex algorithms that allow us to see these changes through time more easily. The data depicted here covers the years 2006-2010. Areas in orange and red are the regions have have sustained the greatest change in this 4 year period. Oranges areas represent older change (closer to 2006) and darker reds are more current (2010). Only areas with greater than 25% tree cover are shown in shades of green. A muted gray-brown color is used for areas with less than 25% tree cover. || ", "hits": 52 }, { "id": 3964, "url": "https://svs.gsfc.nasa.gov/3964/", "result_type": "Visualization", "release_date": "2012-07-23T00:00:00-04:00", "title": "Mountain Top Removal and Vegetation change over the Ouachita Mountains from 2006-2010", "description": "Humans actively change the Earth's landscape. Some of these changes can be seen from space through careful analysis of satellite data. In this visualization, we fly over the Ouachita Mountains highlighting (in shades of orange and red) large areas of vegetation change and mountain top removal throughout the region. NASA scientists have worked on complex algorithms that allow us to see these changes through time more easily. The data depicted here covers the years 2006-2010. Areas in orange and red are the regions have have sustained the greatest change in this 4 year period. Oranges areas represent older change (closer to 2006) and darker reds are more current (2010). Only areas with greater than 25% tree cover are shown in shades of green. A muted gray-brown color is used for areas with less than 25% tree cover. || ", "hits": 31 }, { "id": 3967, "url": "https://svs.gsfc.nasa.gov/3967/", "result_type": "Visualization", "release_date": "2012-07-23T00:00:00-04:00", "title": "Deforestation in Rondonia, Brazil", "description": "In this animation of images from 1975 until 2012, acquired by the Landsat 5 and 7 satellites, enormous tracts of Amazonian forest disappear in Rondonia, a state in Western Brazil.Deforestation in Rondonia in the 1970s until the 1990s had a distinctive \"fishbone\" pattern. Access to this remote region began with a major road cutting through the dense tropical forest, opening up new territory for small farms and ranches. Then, other roads developed at right angles to the initial road. In this visualization, these roads shoot off a stretch of the main \"backbone\" road for about 31 miles (~50 kilometers) long, each secondary road branching off about every 2.5 (~4 kilometers). This creates the \"fishbone\" pattern. Even with the deforestation, Brazil is still home to more than a quarter of Earth's tropical forests. In addition to their astounding biodiversity, these forests act as a major carbon \"sink.\" These are places where carbon dioxide in the atmosphere is absorbed by living things, like trees and plants, and thus the carbon is said to be trapped or sequestered. With increasing carbon dioxide levels around the world, the ability of these forests to hold onto carbon has beneficial implications for stabilizing the world's climate.NASA and the U.S. Department of the Interior through the U.S. Geological Survey (USGS) jointly manage Landsat, and the USGS preserves a 40-year archive of Landsat images that is freely available over the Internet. The next Landsat satellite, now known as the Landsat Data Continuity Mission (LDCM) and later to be called Landsat 8, is scheduled for launch in 2013. || ", "hits": 98 }, { "id": 11042, "url": "https://svs.gsfc.nasa.gov/11042/", "result_type": "Produced Video", "release_date": "2012-07-23T00:00:00-04:00", "title": "Vermilion Parish, LA", "description": "Timelapse of six years in southern Vermilion Parish, Louisiana (1973, 1980, 1986, 1992, 2003, 2010) land being overtaken by water. In these images from Landsat data, red indicates healthy vegetation and shades of blue indicate water. || Pecan_Island_2011.jpg (1280x720) [349.5 KB] || Pecan_Island_2003.jpg (1280x720) [369.1 KB] || Pecan_Island_1992.jpg (1280x720) [335.4 KB] || Pecan_Island_1986.jpg (1280x720) [350.0 KB] || 7-Loveland-1-Pecan_series.00002_print.jpg (1024x576) [148.9 KB] || Pecan_Island_1980.jpg (1280x720) [464.4 KB] || Pecan_Island_1973.jpg (1280x720) [290.8 KB] || 7-Loveland-1-Pecan_series_web.png (320x180) [288.7 KB] || 7-Loveland-1-Pecan_series_thm.png (80x40) [17.6 KB] || 7-Loveland-1-Pecan_series_youtube_hq.mov (1280x720) [18.7 MB] || 7-Loveland-1-Pecan_series_appletv.m4v (960x540) [13.4 MB] || 7-Loveland-1-Pecan_series_1280x720.wmv (1280x720) [13.6 MB] || 7-Loveland-1-Pecan_series_720x480.webmhd.webm (960x540) [4.2 MB] || 7-Loveland-1-Pecan_series.mov (640x360) [9.9 MB] || 7-Loveland-1-Pecan_series_720x480.wmv (720x480) [7.7 MB] || 7-Loveland-1-Pecan_series_ipod_lg.m4v (640x360) [5.5 MB] || GSFC_20120723_Landsat_m11042_Vermilion.en_US.vtt [64 bytes] || 7-Loveland-1-Pecan_series_ipod_sm.mp4 (320x240) [2.1 MB] || 7-Loveland-1-Pecan_series_prores.mov (1280x720) [602.1 MB] || landsat_vermillion_parish_bigmovie.hwshow [57 bytes] || ", "hits": 91 }, { "id": 11049, "url": "https://svs.gsfc.nasa.gov/11049/", "result_type": "Produced Video", "release_date": "2012-07-18T00:00:00-04:00", "title": "Landsat 40th Liveshot Roll-in Video", "description": "On Friday, July 20th, in advance of Landsat's 40th birthday and a live NASA press conference on Monday the 23rd, NASA scientists are available to discuss amazing & unprecedented images from space of your region. Cities grow, wildfires rage, rivers flood out of their beds and droughts shrink lakes and reservoirs — all captured by Landsat, the world's longest continuous record of Earth from space. Since 1972, Landsat satellites have been orbiting Earth, telling the story of soil moisture, urban spread, land use, assist disasters & recovery. Next year, the 8th Landsat satellite (LDCM) will be launched from California. The Landsat Data Continuity Mission (LDCM) will track food production and water resources, organize disaster recovery and monitor the impact of climate change.The following is broadcast quality video roll-ins in Apple ProRes 422, 1280x720, 59.94 fps. || ", "hits": 22 }, { "id": 3960, "url": "https://svs.gsfc.nasa.gov/3960/", "result_type": "Visualization", "release_date": "2012-06-15T00:00:00-04:00", "title": "Saving the Maringa Lopori Wanga Wildlife Corridor", "description": "Maringa Lopori Wanga (MLW) is a region in the northern part of the Democratic Republic of the Congo (DRC) immediately south of the Congo River. Within its borders are two major reserves: The Lomako-Yokokala Faunal Reserve and the Luo Scientific Reserve. Wildlife travels between these two reserves via a natural wildlife corridor. However, a main road bisects this wildlife corridor between the two reserves, along which numerous villages have been established over time. If the corridor is to remain open, villagers living along the route need to control sprawl. This is where scientists have joined in to help, by providing detailed satellite imagery of the area, allowing the people of the MLW region to more accurately zone their land for agricultural expansion. By providing accurate satellite zoning maps, the villages can still thrive and the wildlife corridor can remain open, which benefits both the people and the wildlife of this region of the DRC.Part of NASA's Landsat program mission is to provide tools to assist with global growth and urbanization planning. NASA's Land-Cover and Land-Use Change Program (LCLUC) uses Landsat data to develop socially relevant interdisciplinary science that can be applied to natural resource management questions, starting with agricultural land use change. More information on the varied use of Landsat data can be found at http://landsat.gsfc.nasa.gov/about/appl_matrix.html A fully narrated reporter package of this story, incorporating this element, can be seen here. || ", "hits": 20 }, { "id": 3961, "url": "https://svs.gsfc.nasa.gov/3961/", "result_type": "Visualization", "release_date": "2012-06-15T00:00:00-04:00", "title": "Zoom into the Democratic Republic of the Congo (DRC)", "description": "This scene setting visualization zooms down to the jungles of the Democratic Republic of the Congo (DRC). It was developed in support of the Mapping the Future With Landsat story. || ", "hits": 70 }, { "id": 3939, "url": "https://svs.gsfc.nasa.gov/3939/", "result_type": "Visualization", "release_date": "2012-04-16T00:00:00-04:00", "title": "Landsat Data Continuity Mission (LDCM) Orbits", "description": "The Landsat Data Continuity Mission (LDCM), also to be named Landsat 8 after its scheduled launch in February 2013, will be the eighth in the series of Landsat satellites. Since 1972, Landsat satellites have been observing and measuring Earth's continental and coastal landscapes at 15 to 30 meter resolution, where human impacts and natural changes can be monitored and characterized over time.This animation portrays how the LDCM satellite will orbit the Earth 13 times per day at an altitude of 705 km collecting landcover data. With a cross-track width of 185 km, the satellite will completely cover the globe in a 16 day period compiling a total of 233 orbits. A day number and the elapsed time are shown to clearly depict the passage of time which starts slowly in the beginning and increases to day-by-day steps at the end of the animation. The terrain is exaggerated by 6 times during the first day portrayed, but is increased to 12 times when the camera pulls out to a global view. An artificial orbit trail is shown following the spacecraft to indicate its position when the satellite itself is too small to be visible. || ", "hits": 59 }, { "id": 10935, "url": "https://svs.gsfc.nasa.gov/10935/", "result_type": "Produced Video", "release_date": "2012-03-21T00:00:00-04:00", "title": "Visions of Goddard", "description": "Excerpts of 14 short films about the NASA's Goddadrd Space Flight Center. || ", "hits": 50 }, { "id": 40098, "url": "https://svs.gsfc.nasa.gov/gallery/landsat/", "result_type": "Gallery", "release_date": "2012-02-23T00:00:00-05:00", "title": "Landsat", "description": "Since 1972, Landsat satellites have consistently gathered data about our planet for the benefit of the U.S. and the world. The Landsat data archive is the longest continuous remotely sensed global record of Earth’s surface, with all the data free and available to the public. The Landsat satellite missions, jointly managed by NASA and the U.S. Geological Survey, are a central pillar of our national remote sensing capability and established the U.S. as a leader in land imaging.\n\nLandsat 9 is the next satellite in the program, and will add more than 700 scenes a day to this invaluable archive. As Earth’s population approaches 8 billion, Landsat 9 will extend our ability to detect and characterize land surface changes, and will do so at a scale where researchers can differentiate between natural and human-induced change. \r\n \r\nLand cover and land use are changing globally at rates unprecedented in human history. These changes bring profound consequences for weather, ecosystems, resource management, the economy, carbon storage and emissions, human health, and other aspects of society. Landsat datasets are a critical tool in monitoring and managing essential resources in a changing world.\r\n\nBelow are highlights of Landsat videos and graphics. Follow this link to see the entire collection of Landsat multimedia.\n", "hits": 304 }, { "id": 10914, "url": "https://svs.gsfc.nasa.gov/10914/", "result_type": "Produced Video", "release_date": "2012-02-14T05:00:00-05:00", "title": "TIRS - the Thermal Infrared Sensor on LDCM", "description": "The Thermal InfraRed Sensor (TIRS) is one of the instruments on the Landsat Data Continuity Mission (LDCM) satellite. It will continue the archive of thermal imaging and support emerging applications such as evapotranspiration rate measurements for water management. TIRS is being built by NASA GSFC and has a three-year design life.In February 2012, TIRS was shipped from GSFC to Orbital Sciences Corporation in Gilbert, Arizona to be integrated with the LDCM spacecraft.TIRS operates in a pushbroom mode to create images in two IR bands, centered at 10.8 and 12.0 microns, over a 185 km swath with a 100 m spatial resolution. The TIRS design includes cryogenically-cooled QWIP detector arrays and a steerable mirror to choose among 3 views: nadir for Earth observations, on-board warm blackbody for calibration, and deep space for calibration. The TIRS data will be registered to the OLI data to create radiometrically, geometrically, and terrain-corrected 12-bit LDCM data products. || ", "hits": 55 }, { "id": 40113, "url": "https://svs.gsfc.nasa.gov/gallery/monitoring-the-globe-to-sustain-seven-billion/", "result_type": "Gallery", "release_date": "2011-11-14T00:00:00-05:00", "title": "Monitoring the Globe to Sustain Seven Billion", "description": "Expanding demand from a growing world population -- now numbered at over 7 billion -- exerts unprecedented pressure on global resources, especially forests, water, and agriculture. Observing our world by remote sensing satellites enables scientists around the world to detect the most critical trends in natural resource conditions at local to global scales. Since 1972, the Landsat Earth observation satellites have monitored changes at the Earth's land surface, including changes in forests, water bodies and agricultural and urban areas.\n\nUsing the nearly 40 year global Landsat record in combination with other Earth observation systems and the latest scientific techniques in Earth imaging, experts in mapping and monitoring our planet will describe present conditions and outline the future of many of Earth's natural resources.\n\n Link to Media Advisory", "hits": 2 }, { "id": 10859, "url": "https://svs.gsfc.nasa.gov/10859/", "result_type": "Produced Video", "release_date": "2011-10-30T00:00:00-04:00", "title": "TIRS TVAC1 Opening The Vacuum Chamber", "description": "The Thermal InfraRed Sensor (TIRS) is part of the Landsat Data Continuity Mission (LDCM) to continue thermal imaging and to support emerging applications such as evapotranspiration rate measurements for water management. TIRS is being built by NASA's Goddard Space Flight Center and has a three-year design life.TIRS completed its first round of thermal vacuum testing on Tuesday, October 4, marking the first time engineers evaluated the fully-assembled instrument at its normal operating temperature. When operational, TIRS is only 43 Kelvin (-382 °F). Such a cold temperature is necessary so the instrument itself does not overwhelm the heat radiated by Earth.The Landsat Program is a series of Earth observing satellite missions jointly managed by NASA and the U.S. Geological Survey. Landsat satellites have been consistently gathering data about our planet since 1972. They continue to improve and expand this unparalleled record of Earth's changing landscapes for the benefit of all. || ", "hits": 28 }, { "id": 10812, "url": "https://svs.gsfc.nasa.gov/10812/", "result_type": "Produced Video", "release_date": "2011-10-05T15:00:00-04:00", "title": "Landsat 8 (aka LDCM) Spacecraft Animations and Still Images", "description": "Landsat 8 (formerly known as LDCM, the Landsat Data Continuity Mission), a collaboration between NASA and the U.S. Geological Survey, will provide moderate-resolution (15 meter - 100 meter, depending on spectral frequency) measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave infrared, and thermal infrared. There are two instruments on the spacecraft, the Thermal InfraRed Sensor (TIRS) and the Operational Land Imager (OLI). Landsat 8 continues the nearly 50-year long Landsat land imaging data set. In addition to widespread routine use for land use planning and monitoring on regional to local scales, support of disaster response and evaluations, and water use monitoring, Landsat 8 measurements directly serve NASA research in the focus areas of climate, carbon cycle, ecosystems, water cycle, biogeochemistry, and Earth surface/interior. || ", "hits": 130 }, { "id": 10761, "url": "https://svs.gsfc.nasa.gov/10761/", "result_type": "Produced Video", "release_date": "2011-08-08T14:00:00-04:00", "title": "OLI Passes Pre-Ship Review", "description": "The Operational Land Imager (OLI), built by Ball Aerospace & Technologies Corp., will fly on the Landsat Data Continuity Mission (LDCM). OLI will measure in the visible, near infrared, and short wave infrared portions of the spectrum, with an improved signal-to-noise ratio compared to past Landsat instruments. The Landsat program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. For nearly 40 years, Landsat satellites have continuously and consistently collected images of Earth, creating a historical archive unmatched in quality, detail, coverage and value. Freely available Landsat data provide a unique resource for people who work in agriculture, geology, forestry, regional planning, education, mapping and global change research. || ", "hits": 8 }, { "id": 10762, "url": "https://svs.gsfc.nasa.gov/10762/", "result_type": "Produced Video", "release_date": "2011-04-23T00:00:00-04:00", "title": "NASA DLN Presents Earth Day with Landsat", "description": "These are excerpts from an Earth Day DLN webcast that features scientists and engineers discussing how the Landsat mission has helped us see and study our changing planet. || ", "hits": 22 } ] }