{ "count": 32, "next": null, "previous": null, "results": [ { "id": 5574, "url": "https://svs.gsfc.nasa.gov/5574/", "result_type": "Visualization", "release_date": "2026-03-02T00:00:00-05:00", "title": "GRACE FO Soil Moisture Within Continental United States: Monitoring Drought", "description": "The Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) mission is a joint Earth-science project launched in 2018 by NASA and the German Research Centre for Geosciences to continue the work of the earlier GRACE mission. It consists of two satellites flying about 137 mi (220 km) apart in the same orbit around Earth, constantly measuring tiny changes in the distance between them. These variations occur because changes in Earth’s gravity, caused by shifting masses such as melting ice sheets, groundwater depletion, and ocean circulation, slightly alter the satellites’ speeds and separation. By precisely tracking these changes, GRACE FO allows scientists to map how water moves across the planet, improving our understanding of climate change, sea-level rise, and global water resources.This visualization uses data from GRACE FO to create an index based on percentile dryness, categorizing the dregree of wetness or dryness within three domains: groundwater storage, root zone soil moisture, and surface moisture. It updates weekly, and extends back over a period of a year from the current week.This visualization is created for use within the Earth Information Center (EIC). || ", "hits": 259 }, { "id": 31341, "url": "https://svs.gsfc.nasa.gov/31341/", "result_type": "Visualization", "release_date": "2025-04-11T10:30:00-04:00", "title": "2020 Iowa Derecho", "description": "NASA satellites imaged the after effects of an August 2020 derecho on Iowa crops.", "hits": 66 }, { "id": 31176, "url": "https://svs.gsfc.nasa.gov/31176/", "result_type": "Hyperwall Visual", "release_date": "2025-02-10T00:00:00-05:00", "title": "Two Decades of Soil Moisture from Space", "description": "GRACE soil moisture over the continental United States", "hits": 126 }, { "id": 31178, "url": "https://svs.gsfc.nasa.gov/31178/", "result_type": "Hyperwall Visual", "release_date": "2025-02-10T00:00:00-05:00", "title": "Monitoring Global Groundwater from Space", "description": "Global GRACE Soil Moisture from 2003 to 2025.", "hits": 220 }, { "id": 31280, "url": "https://svs.gsfc.nasa.gov/31280/", "result_type": "Hyperwall Visual", "release_date": "2024-04-24T00:00:00-04:00", "title": "A Rough Harvest for Kansas Wheat", "description": "This is a hyperwall-ready version of the image published at: https://earthobservatory.nasa.gov/images/151487 || ", "hits": 51 }, { "id": 14559, "url": "https://svs.gsfc.nasa.gov/14559/", "result_type": "Produced Video", "release_date": "2024-03-29T00:00:00-04:00", "title": "NASA FireSense (US Forests Service's FASMEE - Fishlake National Forest, Utah)", "description": "On October 9th, 2023, a heli-torch operator flew over the Fishlake National Forest in Utah, igniting a prescribed burn to assist in the regrowth of the Aspen tree population. The forest is renowned for the Pando clone, the largest organism ever found, spanning 106 acres and consisting of over 40,000 individual trees. Aspen trees, classified as pyrophile plants, rely on fire for reproduction. However, the encroachment of conifer trees in Fishlake National Forest has diminished local Aspen populations. By conducting prescribed burns, managers not only reduce the conifer tree population but also stimulate the regrowth of Aspen trees. This effort not only aims to restore Aspen populations for ecosystem rehabilitation but also contributes to advancements in wildfire science. Organizations such as US Forests Services’s FASMEE and NASA's FireSense participated in studying this burn, with NASA leveraging its unique Earth science and airborne technological capabilities to improve US wildland fire management. Beyond the fire lifecycle, NASA FireSense is intended to enable a transition from reactive to proactive fire response by facilitating increased preparedness and co-existence with fire through co-development of technology and data-informed tools with communities representing resource managers, policy-makers, and stakeholders at all levels.This page is dedicated to footage captured during the Fish Lake National Forest prescribed burn and the various events around it.NASA FireSense Website || ", "hits": 37 }, { "id": 5051, "url": "https://svs.gsfc.nasa.gov/5051/", "result_type": "Visualization", "release_date": "2022-12-12T00:00:00-05:00", "title": "Drought conditions set the stage for an intense fire season in California in 2021", "description": "NASA’s Earth Information System (EIS) analysis captures the onset of drought and heightened fire conditions in mid-August 2021, with seasonal deficits of rainfall, exceptionally dry soils, onset of acute vegetation stress, and reduced plant growth. || fire_hyro_VIZ01_final_HD.02350_print.jpg (1024x576) [135.1 KB] || fire_hyro_VIZ01_final_HD.02350_searchweb.png (320x180) [73.4 KB] || fire_hyro_VIZ01_final_HD.02350_thm.png (80x40) [5.1 KB] || fire_hyro_VIZ01_final_HD_1080p59.94.mp4 (1920x1080) [20.6 MB] || 1920x1080_16x9_60p (1920x1080) [256.0 KB] || fire_hyro_VIZ01_final_HD_1080p59.94.webm (1920x1080) [6.7 MB] || fire_hyro_VIZ01_final_4k_2160p59.94.mp4 (3840x2160) [66.2 MB] || 3840x2160_16x9_60p (3840x2160) [256.0 KB] || 9600x3240_16x9_30p (9600x3240) [256.0 KB] || ", "hits": 25 }, { "id": 4915, "url": "https://svs.gsfc.nasa.gov/4915/", "result_type": "Visualization", "release_date": "2021-08-09T00:00:00-04:00", "title": "A Global view of Normalized Difference Vegetation Index (NDVI) Anomaly in crop-growing regions from 2000 to 2021", "description": "This visualization shows the NDVI anomaly from the year 2000 to 2021 in areas where maize, rice, soybeans, spring wheat or winter wheat are grown. Green colors indicate more than average vegetatation while orange colors indicate less productive areas.Coming soon to our YouTube channel. || NDVI_anomaly_2000-2021.11770.png (1920x1080) [897.2 KB] || NDVI_anomaly_2000-2021.11770_print.jpg (1024x576) [79.6 KB] || NDVI_anomaly_2000-2021.11770_searchweb.png (320x180) [39.8 KB] || NDVI_anomaly_2000-2021.11770_thm.png (80x40) [4.5 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || NDVI_anomaly_2000-2021_1080p30.webm (1920x1080) [60.4 MB] || NDVI_anomaly_2000-2021_1080p30.mp4 (1920x1080) [146.7 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || captions_silent.31356.en_US.srt [43 bytes] || NDVI_Anomaly_2000_2021_4k_2160p30.mp4 (3840x2160) [608.3 MB] || NDVI_anomaly_2000-2021_1080p30.mp4.hwshow [196 bytes] || ", "hits": 473 }, { "id": 4916, "url": "https://svs.gsfc.nasa.gov/4916/", "result_type": "Visualization", "release_date": "2021-08-09T00:00:00-04:00", "title": "Normalized Difference Vegetation Index (NDVI) Anomaly in crop-growing regions for selected years", "description": "This visualization shows the NDVI anomaly in areas where maize, rice, soybeans, spring wheat or winter wheat are grown over the United States, Australia, Russia, Europe and southern Africa during certain years. Green colors indicate more than average vegetatation while orange colors indicate less productive areas.Coming soon to our YouTube channel. || NDVI_anomaly_regions.1020_print.jpg (1024x576) [140.2 KB] || NDVI_anomaly_regions.1020_searchweb.png (320x180) [72.6 KB] || NDVI_anomaly_regions.1020_thm.png (80x40) [5.9 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || NDVI_anomaly_regions_1080p30.mp4 (1920x1080) [110.9 MB] || captions_silent.31363.en_US.srt [43 bytes] || NDVI_anomaly_regions_1080p30.mp4.hwshow [194 bytes] || ", "hits": 138 }, { "id": 13723, "url": "https://svs.gsfc.nasa.gov/13723/", "result_type": "Produced Video", "release_date": "2020-09-22T11:00:00-04:00", "title": "Arctic Greening Driven by Warmer Temperatures", "description": "Data from NASA/USGS Landsat satellites show that during 1985-2016, vegetation in the arctic tundra showed a 38% increase in greenness – representing plants growing more, becoming denser, and/or shrubs encroaching on typical tundra grasses and moss.Complete transcript available.Music: The Rework, by Josslin Bordat [SACEM], published by Koka Media [SACEM], available from Universal Production Music || 13723_ArcticGreening-468.jpg (1421x800) [140.8 KB] || 13723_ArcticGreening-468_searchweb.png (320x180) [87.7 KB] || 13723_ArcticGreening-468_thm.png (80x40) [11.2 KB] || 13723_ArcticGreening-v2.mp4 (1920x1080) [110.1 MB] || 13723_ArcticGreening-v2-twitter.mp4 (1920x1080) [34.0 MB] || 13723_ArcticGreening-v2.webm (1920x1080) [12.0 MB] || 13723_ArcticGreening-v2.en_US.srt [2.0 KB] || 13723_ArcticGreening-v2.en_US.vtt [2.0 KB] || ", "hits": 89 }, { "id": 4710, "url": "https://svs.gsfc.nasa.gov/4710/", "result_type": "Visualization", "release_date": "2019-03-13T00:00:00-04:00", "title": "Global Landslide Catalog (update 2019)", "description": "Using the Global Landslide Catalog (GLC), a world map has been produced to show the location of 11,033 reported landslides triggered by rainfall for the period 2007-2019 (last update 02.29.19). In this version, all landslide locations have the same visual treatment without pointing out which ones had fatalities. This version has been created for kids and educational purposes. || TotalLandslides_Catalog2019_print.jpg (1024x576) [86.8 KB] || TotalLandslides_Catalog2019_searchweb.png (320x180) [38.3 KB] || TotalLandslides_Catalog2019_thm.png (80x40) [5.7 KB] || TotalLandslides_Catalog2019.tif (3840x2160) [1.8 MB] || ", "hits": 397 }, { "id": 4631, "url": "https://svs.gsfc.nasa.gov/4631/", "result_type": "Visualization", "release_date": "2018-04-26T10:00:00-04:00", "title": "Global Landslide Hazard Assessment Model (LHASA) with Global Landslide Catalog (GLC) data", "description": "Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides. A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30min. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January. Overlaid with these nowcasts values are a Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information. More information on this system is available at: https://landslides.nasa.govThe Global Landslide Catalog is currently available here: https://catalog.data.gov/dataset/global-landslide-catalog-export || ", "hits": 257 }, { "id": 4640, "url": "https://svs.gsfc.nasa.gov/4640/", "result_type": "Visualization", "release_date": "2018-04-25T12:00:00-04:00", "title": "Close-up Views of the Global Landslide Hazard Assessment Model (LHASA) overlaid with Global Landslide Catalog (GLC) data", "description": "A close-up view of the potential landslide activity during July in Southeast Asia as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness. In the Download tab to the right, a set of 12 still images provides high-resolution (9,600x5,400) global maps to allow for close-up views in any location around the world. The images showcase the landslide climatology by month overload with the distribution of reported landslide fatalities for the period 2007-2017. || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_print.jpg (1024x576) [188.1 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_searchweb.png (320x180) [84.5 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_thm.png (80x40) [7.7 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp.tif (1920x1080) [7.9 MB] || MonthlyClimatologyFatalities (9600x5400) [0 Item(s)] || ", "hits": 38 }, { "id": 12897, "url": "https://svs.gsfc.nasa.gov/12897/", "result_type": "Produced Video", "release_date": "2018-03-22T10:30:00-04:00", "title": "New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains", "description": "A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30 minutes. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January. Overlaid with these nowcasts values are a Global Landslide Catalog(GLC) that was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA's Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information. More information on this system is available at: https://landslides.nasa.gov. Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides.For more information: https://www.nasa.gov/feature/goddard/2018/new-from-nasa-tracking-landslide-hazards-new-nasa-model-finds-landslide-threats-in-near-real || ", "hits": 80 }, { "id": 4633, "url": "https://svs.gsfc.nasa.gov/4633/", "result_type": "Visualization", "release_date": "2018-03-22T10:00:00-04:00", "title": "Landslide Activity in the Americas for the Cover of Earth's Future", "description": "A view of the potential landslide activity during January in the Americas, as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness (LHASA). This still image is provided in 300dpi (print resolution) and in separate layers (water, data, land, outlines). || ClimatologyJanuary_Cover_Light_Layers_Preview_print.jpg (1024x1024) [125.1 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview.png (2550x2550) [2.5 MB] || ClimatologyJanuary_Cover_Light_Layers_Preview_searchweb.png (320x180) [34.2 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview_thm.png (80x40) [3.4 KB] || ClimatologyJanuary_Cover_Light_Layers_300dpi.tif (2550x2550) [16.4 MB] || ", "hits": 40 }, { "id": 4590, "url": "https://svs.gsfc.nasa.gov/4590/", "result_type": "Visualization", "release_date": "2017-10-27T00:00:00-04:00", "title": "Southern Africa Drought", "description": "When a giant swell of warm water, known as El Niño emerged in the Pacific Ocean in 2015, scientists knew to look for impacts. As El Niño changed global weather patterns Southern Africa went into severe drought. On top of already dry conditions, the region experienced its lowest rainfall in 35 years.With the Soil Moisture Active Passive (SMAP) mission, launched in 2015, NASA has dedicated soil moisture measurements for the first time – and could see this severe drought emerging. SMAP's highly sensitive microwave radiometer detects the energy emitted by soil depending on how wet or how dry it is. The old gardener's trick is to squeeze a handful of dirt in your hand and see whether it clumps or falls apart. Think of SMAP doing the same thing – with a lot more precision, all around the world, every 3 days.SMAP allowed us to see a connection between Pacific Ocean water temperatures and the moisture of the soil in Southern Africa. These measurements are now being put to operational use more than ever. SMAP's data was fed into the USDA's global crop yield forecasts – the Foreign Agriculture Service reports that help drive multi-billion dollar commodity markets around the world. In fact, the Foreign Ag Service scientist for this region said that with SMAP they now have the first reliable soil moisture data in 30 years.As crops failed and soils were left bare, we used the Terra and Aqua satellites to assess these effects on the vegetation from a local to regional scale. The Normalized Differential Vegetation Index (NDVI) reflects the health of vegetation on the land surface.As this drought spread across Southern Africa, nearly 30 million people were at risk of drastic food shortages. Four out of 10 people did not have access to clean drinking water.The analyses and data provided by NASA scientists are also critical to a USAID program called the Famine Early Warning Systems Network. As food crises arise, the global view provided by NASA scientists informs decisions about where governments and relief agencies should send help.In Southern Africa in 2015 and 2016, nearly 350 million dollars of emergency water and food aid were delivered, in part based on NASA data, to aid millions of people.As the peak of the drought hits in January 2016, the animations show the low soil moisture conditions in Zambia, Zimbabwe, and Botswana. Correspondingly the low vegetation appears in that region as well. || ", "hits": 32 }, { "id": 4587, "url": "https://svs.gsfc.nasa.gov/4587/", "result_type": "Visualization", "release_date": "2017-10-05T00:00:00-04:00", "title": "The Brown Ocean Effect", "description": "Before Tropical Storm Bill made landfall over Texas, eastern Texas experienced several days of rain that began flooding areas to the south east and northern parts of the state. As Tropical Storm Bill moved northward through Texas it is hypothesized that it fed off the highly saturated ground (as if it were still over the ocean) and can be seen slightly intensifying (via winds) as it moved into Oklahoma and progressed to the northeast. || brown_ocean_v3.1016_print.jpg (1024x576) [267.9 KB] || brown_ocean_v3.1016_searchweb.png (320x180) [127.0 KB] || brown_ocean_v3.1016_thm.png (80x40) [7.8 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || brown_ocean_v3.webm (1920x1080) [17.0 MB] || brown_ocean_v3.mp4 (1920x1080) [245.0 MB] || brown_ocean_v3.mp4.hwshow [180 bytes] || ", "hits": 64 }, { "id": 4477, "url": "https://svs.gsfc.nasa.gov/4477/", "result_type": "Visualization", "release_date": "2016-07-28T18:00:00-04:00", "title": "GRACE over Brazil (March 2015 - March 2016)", "description": "Example animation showing significant ground water storage loss in the northern half of Brazil. This animation starts with a global view of the Americas, then zooms into the country of Brazil. Finally, monthly GRACE water storage anomaly data from March 2015 to March 2016 are shown. || grace2016.0598_print.jpg (1024x576) [81.8 KB] || grace2016.0598_thm.png (80x40) [5.9 KB] || grace2016.0598_searchweb.png (320x180) [63.1 KB] || grace2016_720p30.mp4 (1280x720) [2.8 MB] || Earth (1920x1080) [0 Item(s)] || Brazil_TWSA_data (1920x1080) [0 Item(s)] || Brazil_label (1920x1080) [0 Item(s)] || Brazil_outlines (1920x1080) [0 Item(s)] || Country_names (1920x1080) [0 Item(s)] || Brazil_mask (1920x1080) [0 Item(s)] || Country_borders (1920x1080) [0 Item(s)] || Example_edit (1920x1080) [0 Item(s)] || grace2016_1080p30.webm (1920x1080) [1.6 MB] || 4477_GRACE_Brazil_2016_youtube_hq.mov (1920x1080) [35.7 MB] || 4477_GRACE_Brazil_2016_appletv.m4v (1280x720) [11.0 MB] || grace2016_1080p30.mp4 (1920x1080) [5.1 MB] || 4477_GRACE_Brazil_2016.mpeg (1280x720) [100.5 MB] || 4477_GRACE_Brazil_2016_prores.mov (1280x720) [413.9 MB] || grace2016_360p30.mp4 (640x360) [1.0 MB] || 4477_GRACE_Brazil_2016_ipod_sm.mp4 (320x240) [3.0 MB] || grace2016_1080p30.mp4.hwshow [183 bytes] || ", "hits": 23 }, { "id": 12230, "url": "https://svs.gsfc.nasa.gov/12230/", "result_type": "Produced Video", "release_date": "2016-04-27T16:00:00-04:00", "title": "NASA On Air: NASA's GPM Satellite Tracks Rain For Farmers Around The World (4/28/2016)", "description": "LEAD: A network of Earth-observing satellites is helping to track crop growing conditions around the world.1. Rainfall, shown here as radar-like moving bands of reds and yellows, can now be tracked every 30 minutes across most of the earth.2. The base maps of the continents change color indicating the available moisture (water) in the surface soils for growing crops. 3. This information is especially helpful to farmers waiting for the summer monsoon rain in countries such as India that only have limited number of weather stations. TAG: The data is already being used by the USDA Foreign Agricultural Service. || IPAD_DELIVERABLES_NASAonAir-Soil_Moisture_iPad_1920x1080.00001_print.jpg (1024x576) [172.4 KB] || IPAD_DELIVERABLES_NASAonAir-Soil_Moisture_iPad_1920x1080.00001_searchweb.png (320x180) [91.0 KB] || IPAD_DELIVERABLES_NASAonAir-Soil_Moisture_iPad_1920x1080.00001_web.png (320x180) [91.0 KB] || IPAD_DELIVERABLES_NASAonAir-Soil_Moisture_iPad_1920x1080.00001_thm.png (80x40) [6.6 KB] || Weather_Central_NASAonAir-Soil_Moisture_Weather_Central.wmv (1280x720) [10.1 MB] || Accuweather_NASAonAir-Soil_Moisture_Accuweather.avi (1280x720) [10.4 MB] || BARON_SERVICE_NASAonAir-Soil_Moisture_baron.mp4 (1920x1080) [25.3 MB] || IPAD_DELIVERABLES_NASAonAir-Soil_Moisture_iPad_960x540.m4v (960x540) [29.9 MB] || IPAD_DELIVERABLES_NASAonAir-Soil_Moisture_iPad_1280x720.m4v (1280x720) [55.5 MB] || IPAD_DELIVERABLES_NASAonAir-Soil_Moisture_iPad_1920x1080.m4v (1920x1080) [89.0 MB] || WEBM_NASAonAir-Soil_Moisture.webm (960x540) [13.9 MB] || NBC_TODAY_NASAonAir-Soil_Moisture_NBC_Today.mov (1920x1080) [100.6 MB] || WC_PRORES_422_NASAonAir-Soil_Moisture_prores.mov (1920x1080) [509.3 MB] || WSI_WEATHER_CHANNEL_NASAonAir-Soil_Moisture_1920x1080.mov (1920x1080) [1.0 GB] || WSI_WEATHER_CHANNEL_NASAonAir-Soil_Moisture_1280x720.mov (1280x720) [1.2 GB] || ", "hits": 48 }, { "id": 30701, "url": "https://svs.gsfc.nasa.gov/30701/", "result_type": "Hyperwall Visual", "release_date": "2016-02-08T12:00:00-05:00", "title": "Earth: A System of Systems", "description": "Slices of Earth observational and modeling data || R_beach_ball_flat_1080p.00001_print.jpg (1024x576) [105.6 KB] || R_beach_ball_flat_1080p.00001_searchweb.png (320x180) [53.8 KB] || R_beach_ball_flat_1080p.00001_thm.png (80x40) [4.3 KB] || R_beach_ball_flat_1080p.mp4 (1920x1080) [47.3 MB] || R_beach_ball_flat_720p.mp4 (1280x720) [26.4 MB] || R_beach_ball_flat_720p.webm (1280x720) [7.8 MB] || beach_ball_noLabels_1080p.mp4 (1920x1080) [41.8 MB] || beach_ball_noLabels_720p.mp4 (1280x720) [23.1 MB] || R_beach_ball_flat_360p.mp4 (640x360) [9.3 MB] || cam_held (4104x2304) [0 Item(s)] || earth_system_of_systems_30701.key [51.4 MB] || earth_system_of_systems_30701.pptx [49.0 MB] || beachball_2304p.mp4 (4096x2304) [125.7 MB] || beach_ball_noLabels_2304p.mp4 (4096x2304) [121.0 MB] || ", "hits": 497 }, { "id": 4413, "url": "https://svs.gsfc.nasa.gov/4413/", "result_type": "Visualization", "release_date": "2016-01-07T00:00:00-05:00", "title": "Sea Surface Temperature Anomaly and Terrestrial Water Storage Anomaly Comparison", "description": "Animation showing Sea Surface Temperature Anomaly (SSTA) and Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015 simultaneously. For SSTA data, blues indicate temperatures lower than normal and reds are areas warmer than normal. With this data we can see the comings and goings of El Niño and La Niña across the years. For the TWSA data, browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions. Furthermore, terrestrial areas that show significant amounts of low water storage are much more sensitive to wildfires. || grace_w_ssta_rob2.4991_print.jpg (1024x576) [133.2 KB] || grace_w_ssta_rob2.4991_searchweb.png (180x320) [91.1 KB] || grace_w_ssta_rob2.4991_thm.png (80x40) [7.7 KB] || grace_w_ssta_rob2_2x_1080p30.mp4 (1920x1080) [41.8 MB] || composite (1920x1080) [0 Item(s)] || robinson_projection (1920x1080) [0 Item(s)] || dates (1920x1080) [0 Item(s)] || grace_w_ssta_rob2_2x_1080p30.webm (1920x1080) [9.8 MB] || ", "hits": 40 }, { "id": 30730, "url": "https://svs.gsfc.nasa.gov/30730/", "result_type": "Hyperwall Visual", "release_date": "2015-12-16T12:00:00-05:00", "title": "High-Resolution Soil Moisture Maps", "description": "These maps combine data from the twin satellites of the Gravity Recovery and Climate Experiment (GRACE) with other satellite and ground-based measurements to model the relative amount of water stored at two different levels: at plant root level and underground. The wetness, or water content, of each layer is compared to the average between 1948 and 2009. The darkest red regions represent dry conditions that should occur only 2 percent of the time (about once every 50 years). All of the maps are experimental products funded by NASA’s Applied Sciences Program and developed by scientists at NASA’s Goddard Space Flight Center and the National Drought Mitigation Center. The maps do not attempt to represent human consumption of water; but rather, they show changes in water storage related to weather, climate, and seasonal patterns. || ", "hits": 86 }, { "id": 4339, "url": "https://svs.gsfc.nasa.gov/4339/", "result_type": "Visualization", "release_date": "2015-10-30T09:00:00-04:00", "title": "GRACE Detects Brazil Drought", "description": "Example animation showing significant ground water storage loss around Brazil's most populated areas. This animation starts with a global view of the Americas, then zooms into the country of Brazil. The location of major reservoirs are revealed, followed by population data. Lastly, GRACE water storage anomaly data for the months of April, May, June is shown beginning in 2002 and going up to 2014. Finally, the region around São Paulo and Rio de Janeiro is highlighted to show the significant water storage loss in this highly populated region.This video is also available on our YouTube channel. || brazil_comp2.0760_print.jpg (1024x576) [101.6 KB] || brazil_comp2.0760_thm.png (80x40) [6.4 KB] || brazil_comp2.0760_searchweb.png (320x180) [72.9 KB] || brazil_comp2_1080p30.mp4 (1920x1080) [9.2 MB] || Population_Overlay (1920x1080) [0 Item(s)] || Country_boundaries (1920x1080) [0 Item(s)] || Brazil_boundary_mask (1920x1080) [0 Item(s)] || Reservoirs_solid_circle (1920x1080) [0 Item(s)] || Country_names (1920x1080) [0 Item(s)] || Year_Annotation (1920x1080) [0 Item(s)] || Brazil_mask (1920x1080) [0 Item(s)] || Background_Earth (1920x1080) [0 Item(s)] || Brazil_country_label (1920x1080) [0 Item(s)] || Brazil_state_boundaries (1920x1080) [0 Item(s)] || Reservoirs_hollow_circle (1920x1080) [0 Item(s)] || GRACE_Data_Overlay (1920x1080) [0 Item(s)] || Example_Composite (1920x1080) [0 Item(s)] || brazil_comp2_1080p30.webm (1920x1080) [3.1 MB] || brazil_comp2_1080p30.mp4.hwshow [186 bytes] || ", "hits": 55 }, { "id": 4338, "url": "https://svs.gsfc.nasa.gov/4338/", "result_type": "Visualization", "release_date": "2015-07-30T17:00:00-04:00", "title": "Global Terrestrial Water Storage Anomaly", "description": "Slow zoom out starting over the United States revealing the rest of the world. || grace_world_anom.6000_print.jpg (1024x576) [118.7 KB] || grace_world_anom.6.mp4 (1920x1080) [3.7 MB] || 1920x1080_16x9_30p (1920x1080) [32.0 KB] || grace_world_anom.6.webm (1920x1080) [896.4 KB] || grace_world_anom.6.mp4.hwshow [45 bytes] || ", "hits": 35 }, { "id": 11860, "url": "https://svs.gsfc.nasa.gov/11860/", "result_type": "Produced Video", "release_date": "2015-04-21T11:00:00-04:00", "title": "NASA On Air: NASA Landslide Catalog Now Available (4/21/2015)", "description": "LEAD: A new website now totals up landslide occurrences and resulting deaths across the U.S. and the world.1. NASA and other researchers have tracked global news and web reports of rain-caused landslides since 2007.2. Between 2007 and 2013, more than 20,000 people have died in 6,000 landslides - an average of 2,500 per year.3. An interactive website will help researchers match future news reports of landslides with the data of heavy rain from a new satellite-based network covering Earth.TAG: Early warning for potential landslides is the long-term goal. || WC_Landslides-1920-MASTER_iPad_1920x0180_print.jpg (1024x576) [110.9 KB] || WC_Landslides-1920-MASTER_iPad_1920x0180_searchweb.png (320x180) [73.9 KB] || WC_Landslides-1920-MASTER_iPad_1920x0180_web.png (320x180) [73.9 KB] || WC_Landslides-1920-MASTER_iPad_1920x0180_thm.png (80x40) [6.1 KB] || WC_Landslides-1920-MASTER_WEA_CEN.wmv (1280x720) [14.6 MB] || WC_Landslides_converted.avi (1280x720) [16.2 MB] || WC_Landslides-1920-MASTER_baron.mp4 (1920x1080) [15.4 MB] || WC_Landslides-1920-MASTER_iPad_960x540.m4v (960x540) [46.4 MB] || WC_Landslides-1920-MASTER_iPad_1280x720.m4v (1280x720) [84.5 MB] || WC_Landslides-1920-MASTER_iPad_1920x0180.webm (1920x1080) [2.8 MB] || WC_Landslides-1920-MASTER_iPad_1920x0180.m4v (1920x1080) [182.7 MB] || WC_Landslides-1920-MASTER_NBC_Today.mov (1920x1080) [198.6 MB] || WC_Landslides-1920-MASTER_prores.mov (1920x1080) [421.7 MB] || WC_Landslides-1920-MASTER_1920x1080.mov (1920x1080) [742.6 MB] || WC_Landslides-1920-MASTER_1280x720.mov (1280x720) [915.8 MB] || ", "hits": 237 }, { "id": 11854, "url": "https://svs.gsfc.nasa.gov/11854/", "result_type": "Produced Video", "release_date": "2015-04-16T13:00:00-04:00", "title": "Global Landslide Catalog Aids View From Space", "description": "Landslides are among the most common and dramatic natural hazards, reshaping landscapes -- and anything in their path. Tracking when and where landslides occur worldwide has historically been difficult, because of the lack of a centralized database across all nations. But NASA researchers have updated the first publicly available Global Landslide Catalog, based on media reports and online databases that bring together many sources of information on landslides that have occurred since 2007. The catalog, originally released in 2010, is still the only one of its kind.Around 6000 landslides are noted in the catalog. This wealth of data gives scientists a starting point to analyze where, how and why landslides are likely to occur. In particular, NASA researchers have begun to compare landslide occurrence with global rainfall data from the Tropical Rainfall Measuring Mission.The catalog is currently available at: http://ojo-streamer.herokuapp.com/.Research: Spatial and temporal analysis of a global landslide catalog.Journal: Geomorphology, March 21, 2015.Link to paper: http://www.sciencedirect.com/science/article/pii/S0169555X15001579.Here is the YouTube video. || ", "hits": 59 }, { "id": 4294, "url": "https://svs.gsfc.nasa.gov/4294/", "result_type": "Visualization", "release_date": "2015-03-31T00:00:00-04:00", "title": "IMERG Precipitation Rates Across India's Ghats Mountains", "description": "Animation of precipitation rates across India and surrounding countries. Notice the heavy rains throughout the Ghats Mountain range which resulted in devastating landslides along India's west coast. || ghats_w_dates.0140_print.jpg (1024x576) [169.8 KB] || ghats_w_dates.0140_print_thm.png (80x40) [7.5 KB] || ghats_w_dates.0140_searchweb.png (320x180) [99.4 KB] || ghats_dated_1080p30.mp4 (1920x1080) [20.9 MB] || Ghats_with_dates (1920x1080) [0 Item(s)] || ghats2.mp4 (1920x1080) [21.0 MB] || Ghats_without_dates (1920x1080) [0 Item(s)] || ghats_dated_1080p30.webm (1920x1080) [2.8 MB] || date_overlay (350x80) [0 Item(s)] || ", "hits": 64 }, { "id": 4299, "url": "https://svs.gsfc.nasa.gov/4299/", "result_type": "Visualization", "release_date": "2015-03-31T00:00:00-04:00", "title": "IMERG Accumulated Precipitation Across India's Ghats Mountains", "description": "Animation showing accumulated precipitation over India. Notice the extremely high amounts of accumulated rain over the Ghats Mountains. These heavy rains led to major landslides along this mountain range. || ghats_accum_dated.0383_print.jpg (1024x576) [225.3 KB] || ghats_accum_dated.0383_print_thm.png (80x40) [8.5 KB] || ghats_accum_dated.0383_searchweb.png (320x180) [123.3 KB] || ghats_accum_dated_1080p30.mp4 (1920x1080) [11.8 MB] || Ghats_Accum_with_dates (1920x1080) [32.0 KB] || ghats_accum.mp4 (1920x1080) [11.7 MB] || Ghats_Accum_without_dates (1920x1080) [32.0 KB] || ghats_accum_dated_1080p30.webm (1920x1080) [1.5 MB] || date_overlay (350x80) [32.0 KB] || ", "hits": 19 }, { "id": 30582, "url": "https://svs.gsfc.nasa.gov/30582/", "result_type": "Infographic", "release_date": "2015-02-05T16:00:00-05:00", "title": "SMAP applications infographic", "description": "SMAP applications infographic || smap_inforgraphic_title_slide_print.jpg (1024x576) [234.1 KB] || smap_inforgraphic_title_slide_web.jpg (320x180) [70.5 KB] || smap_inforgraphic_title_slide_searchweb.png (320x180) [115.9 KB] || smap_inforgraphic_title_slide_thm.png (80x40) [24.6 KB] || smap_inforgraphic_title_slide.tif (5760x3240) [11.0 MB] || smap_inforgraphic_title_slide.hwshow [163 bytes] || ", "hits": 10 }, { "id": 11741, "url": "https://svs.gsfc.nasa.gov/11741/", "result_type": "Produced Video", "release_date": "2015-01-28T00:00:00-05:00", "title": "Soil Moisture Active Passive (SMAP) Live Shot Page 1.29.15", "description": "NASA scientists talk about the launch of the Soil Moisture Active Passive - or SMAP - satellite scheduled to launch on Jan 29. SMAP will take stock of the water hidden just beneath your feet, in the topsoil. Knowing how much water is in the soil, and whether it is frozen or thawed, has profound applications for society, from better forecasting of natural disasters like floods and droughts to helping prevent food shortages.How SMAP's radiometer works.How SMAP will help weather forecasts.More about SMAP.NASA TV's video file. || ", "hits": 40 }, { "id": 11604, "url": "https://svs.gsfc.nasa.gov/11604/", "result_type": "Produced Video", "release_date": "2014-07-07T13:00:00-04:00", "title": "NASA's Aquarius Returns Global Maps of Soil Moisture", "description": "NASA's Aquarius instrument has released its first released worldwide maps of soil moisture. Soil moisture, the water contained within soil particles, is an important player in Earth's water cycle. This animated version of Aquarius' measurements reveals a dynamic pattern of worldwide shifts between dry and moist soils.Here is the YouTube video. || ", "hits": 30 }, { "id": 30177, "url": "https://svs.gsfc.nasa.gov/30177/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Measuring Soil Moisture from Space", "description": "These maps combine data from the twin satellites of the Gravity Recovery and Climate Experiment (GRACE) with other satellite and ground-based measurements to model the relative amount of water stored at three different levels: at the surface, at plant root level and underground from January 2003 to December 2014. The wetness, or water content, of each layer is compared to the average between 1948 and 2009. The darkest red regions represent dry conditions that should occur only 2 percent of the time (about once every 50 years). All of the maps are experimental products funded by NASA’s Applied Sciences Program and developed by scientists at NASA’s Goddard Space Flight Center and the National Drought Mitigation Center. The maps do not attempt to represent human consumption of water; but rather, they show changes in water storage related to weather, climate, and seasonal patterns. || ", "hits": 57 } ] }