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            "url": "https://svs.gsfc.nasa.gov/15057/",
            "result_type": "Produced Video",
            "release_date": "2026-06-23T15:00:00-04:00",
            "title": "Earth Data User: ROFFS Fishing",
            "description": "Universal Production Music: Clear Water Instrumental by Runman Complete transcript available.This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by Pond5 and ROFFS is obtained through permission and may not be excised or remixed in other products. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html || DataUser_ROFFS.jpg (1280x720) [191.8 KB] || DataUser_ROFFS_searchweb.png (320x180) [73.2 KB] || DataUser_ROFFS_thm.png (80x40) [6.6 KB] || DataUsers_ROFFS.mp4 (1920x1080) [168.0 MB] || ROFFS.en_US.srt [3.0 KB] || ROFFS.en_US.vtt [2.8 KB] || ",
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            "id": 15025,
            "url": "https://svs.gsfc.nasa.gov/15025/",
            "result_type": "Visualization",
            "release_date": "2026-05-06T12:00:00-04:00",
            "title": "Saudi Arabia’s Desert Agriculture",
            "description": "In this animation, crop fields in Saudi Arabia cycle through their growing seasons. Corn, barley, sorghum, and wheat—Saudi Arabia’s four main crops—all follow different crop calendars, but the bulk of the harvesting occurs in late spring and early summer. The time series spans 2024 and January 2025.",
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            "url": "https://svs.gsfc.nasa.gov/15018/",
            "result_type": "Visualization",
            "release_date": "2026-05-06T11:00:00-04:00",
            "title": "Agricultural Cycles in the Imperial Valley",
            "description": "This page features HLS (Harmonized Landsat and Sentinel-2) time series of California’s Imperial Valley near the Salton Sea. Spanning October 2024 to October 2025, these animations highlight multiple agricultural growth cycles within a single year using natural color, NDVI, and a side-by-side comparison.",
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            "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). || ",
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            "url": "https://svs.gsfc.nasa.gov/14894/",
            "result_type": "Produced Video",
            "release_date": "2025-09-23T13:00:00-04:00",
            "title": "NASA Flew Over a Fire — to Better Understand Future Ones",
            "description": "On April 14th-20th, 2025, NASA’s FireSense project led a multi-agency prescribed burn research operation at Fort Stewart-Hunter Army Field, Georgia, in partnership with the U.S. Department of War (DoW). The DoW led the prescribed burn activities, while NASA FireSense coordinated field and airborne sampling with academic and agency partners, including the DoW Strategic Environmental Research and Development Program (SERDP) and DoW Environmental Security Technology Certification Program (ESTCP). The campaign targeted vegetation, fire, and smoke measurements, and aims to enhance understanding of fire behavior and smoke dynamics in order to provide actionable information to practitioners.In a collaboration between NASA, the DoW, and wildland experts, NASA FireSense demonstrates how cutting-edge satellite and airborne technology is revolutionizing fire detection, prescribed fire, and ecosystem management—bringing real-time data to wildland fire managers.NASA FireSense Website || ",
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            "url": "https://svs.gsfc.nasa.gov/14854/",
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            "release_date": "2025-06-17T15:00:00-04:00",
            "title": "From Space to Soil: How NASA Sees Forests",
            "description": "Music: \"Overview Effect,\" \"All In Stride,\" Universal Production Music. NASA utilizes advanced satellite lidar technology to better understand and observe Earth’s forests—crucial ecosystems that absorb roughly 30 percent of atmospheric carbon. Remote sensing scientist, Laura Duncanson, explains the challenge of studying vast, remote regions where traditional field research is limited. For over 50 years, satellites like Landsat have tracked forest cover, but have lacked the ability to measure how much carbon these forests contain. That’s where NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission comes in. GEDI provides high-resolution 3D data on tree canopy height, canopy structure, and surface elevation, allowing scientists to determine forest biomass. However, based on GEDI’s orbit on the International Space Station (ISS), it is unable to capture data near Earth’s poles. To fill that gap, NASA uses the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), which, although not originally designed for forests, provides complementary 3D forest data, especially in boreal regions. Together, the two lidar systems enable the first comprehensive global biomass map, revealing where and how much carbon is being lost or regained in forests. With this new understanding comes smarter conservation and restoration efforts, assisting in identifying carbon-rich areas to prioritize protection. With these NASA Earth science missions, we can see a clearer global picture of our planet and its carbon balance. Find out more about NASA’s Earth Sciences Division at https://science.gsfc.nasa.gov/earth.This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by external sources (see list below) is obtained through permission and may not be excised or remixed in other products. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html Complete transcript available. || 06_04_GEDI_ICESat2_Video_FINAL.00100_print.jpg (1024x576) [231.2 KB] || From_Space_to_Soil_THUMBNAIL.jpg (1280x720) [925.4 KB] || 06_04_GEDI_ICESat2_Video_FINAL.00020_searchweb.png (320x180) [101.0 KB] || 06_04_GEDI_ICESat2_Video_FINAL.00020_web.png (320x180) [101.0 KB] || 06_04_GEDI_ICESat2_Video_FINAL.en_US.srt [7.2 KB] || 06_04_GEDI_ICESat2_Video_FINAL.en_US.vtt [6.9 KB] || 06_04_GEDI_ICESat2_Video_FINAL.mp4 (3840x2160) [2.6 GB] || ",
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            "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.",
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            "url": "https://svs.gsfc.nasa.gov/14789/",
            "result_type": "Produced Video",
            "release_date": "2025-04-07T11:00:00-04:00",
            "title": "NASA Earth: Powering America's Future",
            "description": "Music: Pacemaker Instrumental (Everitt) via Universal Production MusicThis video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by pond5.com is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || 14789_Thumbnail.jpg (1280x720) [156.0 KB] || 14789_Thumbnail_print.jpg (1024x576) [131.1 KB] || 14789_Thumbnail_searchweb.png (320x180) [64.5 KB] || 14789_Thumbnail_web.png (320x180) [64.5 KB] || 14789_Thumbnail_thm.png [5.9 KB] || 14789_NASAEarthPoweringAmericasFuture.mp4 (1920x1080) [274.8 MB] || 14789_NASAEarthPowering.en_US.srt [1.9 KB] || 14789_NASAEarthPowering.en_US.vtt [1.9 KB] || ",
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            "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": 89
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            "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": 192
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            "id": 31297,
            "url": "https://svs.gsfc.nasa.gov/31297/",
            "result_type": "Hyperwall Visual",
            "release_date": "2024-07-17T00:00:00-04:00",
            "title": "Korean Peninsula imagery",
            "description": "Landsat imagery of the Korean peninsula updated from stories originally published on Earth Observatory. || ",
            "hits": 64
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        {
            "id": 31278,
            "url": "https://svs.gsfc.nasa.gov/31278/",
            "result_type": "Hyperwall Visual",
            "release_date": "2024-04-24T00:00:00-04:00",
            "title": "El Niño Forecast to Contribute to Food Insecurity",
            "description": "This is a hyperwall-ready version of the image published at: https://earthobservatory.nasa.gov/images/152005 || ",
            "hits": 23
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        {
            "id": 31279,
            "url": "https://svs.gsfc.nasa.gov/31279/",
            "result_type": "Hyperwall Visual",
            "release_date": "2024-04-24T00:00:00-04:00",
            "title": "Midwest Farmers Using Cover Crops Take Small Yield Hit",
            "description": "This is a hyperwall-ready version of the image published at: https://earthobservatory.nasa.gov/images/150887 || An image of cover crop impact on maize (corn) yield || maize_cover_crops_print.jpg (1024x576) [203.1 KB] || maize_cover_crops.png (3840x2160) [6.1 MB] || maize_cover_crops_searchweb.png (320x180) [81.1 KB] || maize_cover_crops_thm.png (80x40) [6.4 KB] || maize_cover_crops.key [1.5 MB] || maize_cover_crops_caption_side_screen_copy.key [358.5 KB] || ",
            "hits": 14
        },
        {
            "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": 33
        },
        {
            "id": 31267,
            "url": "https://svs.gsfc.nasa.gov/31267/",
            "result_type": "Hyperwall Visual",
            "release_date": "2023-11-28T00:00:00-05:00",
            "title": "Landsat and Sentinel NDVI, 2022",
            "description": "The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming to produce a seamless surface reflectance record from the Operational Land Imager (OLI) and Multi-Spectral Instrument (MSI) aboard Landsat-8/9 and Sentinel-2A/B remote sensing satellites, respectively. These animations show a year's worth of HLS data near Columbus, Nebraska from 2022. One animation includes the cloudy scenes and the other has cloud-free or mostly cloud-free scenes. ||",
            "hits": 95
        },
        {
            "id": 14410,
            "url": "https://svs.gsfc.nasa.gov/14410/",
            "result_type": "Produced Video",
            "release_date": "2023-09-13T10:00:00-04:00",
            "title": "NASA Joins Jane Goodall to Conserve Chimp Habitats",
            "description": "Complete transcript available. || Jane_Goodall_fullvideo_FINAL.00001_print.jpg (1024x576) [225.0 KB] || Jane_Goodall_fullvideo_FINAL.00001_searchweb.png (320x180) [123.8 KB] || Jane_Goodall_fullvideo_FINAL.00001_web.png (320x180) [123.8 KB] || Jane_Goodall_fullvideo_FINAL.00001_thm.png (80x40) [8.1 KB] || Jane_Goodall_fullvideo_FINAL.en_US.srt [10.7 KB] || Jane_Goodall_fullvideo_FINAL.en_US.vtt [10.2 KB] || Jane_Goodall_fullvideo_FINAL.mp4 (3840x2160) [4.3 GB] || ",
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        {
            "id": 14367,
            "url": "https://svs.gsfc.nasa.gov/14367/",
            "result_type": "Produced Video",
            "release_date": "2023-06-15T16:00:00-04:00",
            "title": "NASA and Agriculture",
            "description": "Feeding a Hungry World The farmers responsible for the food that reaches your plate need a lot of a very precious and limited resource, water. NASA works with farmers like Dwane Roth of Kansas to help them track their water use. Roth says that farmers like him are seeing more frequent, hotter days with less rain. “We need to grow more with less and get as much out of each drop of water we can,” he says. NASA helps to promote the use of Earth observations to strengthen food security.",
            "hits": 41
        },
        {
            "id": 14352,
            "url": "https://svs.gsfc.nasa.gov/14352/",
            "result_type": "Produced Video",
            "release_date": "2023-05-18T15:00:00-04:00",
            "title": "NASA Teams with Forest Service to Tally America’s Oldest Trees",
            "description": "This is the full, horizontal version of the video. Complete transcript available. || MOG_forests_NASA_approved_final_1.00175_print.jpg (1024x540) [174.4 KB] || MOG_forests_NASA_approved_final_1.00175_searchweb.png (320x180) [87.0 KB] || MOG_forests_NASA_approved_final_1.00175_web.png (320x168) [78.6 KB] || MOG_forests_NASA_approved_final_1.00175_thm.png (80x40) [5.8 KB] || MOG_forests_NASA_approved_final_1.mp4 (4096x2160) [683.3 MB] || MOG_forests_NASA_approved_final.en_US.srt [6.2 KB] || MOG_forests_NASA_approved_final.en_US.vtt [5.9 KB] || MOG_forests_NASA_approved_final_1.webm (4096x2160) [117.3 MB] || ",
            "hits": 24
        },
        {
            "id": 5095,
            "url": "https://svs.gsfc.nasa.gov/5095/",
            "result_type": "Visualization",
            "release_date": "2023-04-20T00:00:00-04:00",
            "title": "USFS/GEDI Old Growth Forest Visualizations",
            "description": "This visualization begins with a view of USFS Forest Inventory and Analysis (FIA) plot locations (orange dots) across the continental US.  GEDI vegetation height data then draws on dynamically, showing how data from both the USFS and NASA can be used together to increase spatial coverage. || FIA_plots_with_GEDI.00425_print.jpg (1024x576) [304.0 KB] || FIA_plots_with_GEDI.00425_searchweb.png (320x180) [96.4 KB] || FIA_plots_with_GEDI.00425_thm.png (80x40) [6.6 KB] || FIA_plots_with_GEDI_1080p60.mp4 (1920x1080) [26.4 MB] || FIA_plots_with_GEDI_no_legend_1080p60.mp4 (1920x1080) [25.8 MB] || FIA_plots_with_GEDI_1080p60.webm (1920x1080) [2.1 MB] || FIA_plots_with_GEDI (3840x2160) [0 Item(s)] || FIA_plots_with_GEDI_noLegend (3840x2160) [0 Item(s)] || FIA_plots_with_GEDI_2160p60.mp4 (3840x2160) [63.6 MB] || FIA_plots_with_GEDI_no_legend_2160p60.mp4 (3840x2160) [63.0 MB] || FIA_plots_with_GEDI_2160p60.mp4.hwshow [124 bytes] || ",
            "hits": 56
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        {
            "id": 14291,
            "url": "https://svs.gsfc.nasa.gov/14291/",
            "result_type": "Produced Video",
            "release_date": "2023-02-11T10:00:00-05:00",
            "title": "Landsat 8 - A Decade of Service",
            "description": "L8_Anniversary_Thumb.jpg (1280x720) [449.9 KB] || NASA_L8Anniversary_Final.01584_print.jpg (1024x576) [138.4 KB] || NASA_L8Anniversary_Final.01584_searchweb.png (320x180) [75.8 KB] || NASA_L8Anniversary_Final.01584_thm.png (80x40) [5.7 KB] || NASA_L8Anniversary_Final.01584_web.png (320x180) [75.8 KB] || NASA_L8Anniversary_Final.webm (1920x1080) [72.5 MB] || NASA_L8Anniversary_Final.mp4 (1920x1080) [1.2 GB] || L8Anniv.en_US.srt [13.9 KB] || L8Anniv.en_US.vtt [13.2 KB] || ",
            "hits": 185
        },
        {
            "id": 5014,
            "url": "https://svs.gsfc.nasa.gov/5014/",
            "result_type": "Visualization",
            "release_date": "2022-08-17T00:00:00-04:00",
            "title": "Drought in the Horn of Africa",
            "description": "According to a July 29 2022 report from the International Food Security and Nutrition Working Group, the worst drought conditions in 70 years across the Horn of Africa have more than 16 million people coping with a shortage of drinking water. Yields of key crops are down for the third year in a row, milk production is in decline, and more than 9 million livestock animals have been lost due to a lack of water and suitable forage land. At the same time, regional conflicts, COVID-19, locusts, and the Ukraine War have caused price spikes and shortages of basic commodities. An estimated 18 to 21 million people now \"face high levels of acute food insecurity\" in Ethiopia, Kenya, and Somalia.These animations depict root zone and surface soil moisture observations and forecasts from the NASA Hydrological Forecast and Analysis System (NHyFAS). Reds depict areas with soil moisture percentages below the average, while blues reflect areas that are above average (often due to passing storms). The first 27 seconds of the animation show soil moisture from August 2020 through June 2022. The final 10 seconds show forecasts for July through December 2022, including the next rainy season. Root zone moisture is critical for long term crop growth. New seedlings are mostly dependent on surface water, but then as plants grow and sink deeper roots, they are sustained by moisture in the top layer of the soil. || ",
            "hits": 113
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        {
            "id": 14142,
            "url": "https://svs.gsfc.nasa.gov/14142/",
            "result_type": "Produced Video",
            "release_date": "2022-04-21T00:00:00-04:00",
            "title": "Goddard Glossary",
            "description": "Science loves jargon. When we write about Goddard’s research, we learn new words and phrases all the time, and we want to share them with you.Welcome to the Goddard Glossary! || ",
            "hits": 63
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        {
            "id": 31180,
            "url": "https://svs.gsfc.nasa.gov/31180/",
            "result_type": "Hyperwall Visual",
            "release_date": "2022-03-10T10:00:00-05:00",
            "title": "NASA and Agriculture: From Seeds to Satellites",
            "description": "Complete transcript available. || ComClas_Final_Cut.00148_print.jpg (1024x576) [55.5 KB] || Screen_Shot_2022-03-03_at_1.29.01_PM.png (2478x1382) [1.5 MB] || ComClas_Final_Cut.00148_searchweb.png (320x180) [45.5 KB] || ComClas_Final_Cut.00148_web.png (320x180) [45.5 KB] || ComClas_Final_Cut.00148_thm.png (80x40) [4.1 KB] || ComClas_Final_Cut.webm (1920x1080) [8.0 MB] || ComClas_Final_Cut.mp4 (1920x1080) [126.1 MB] || ComClas_Final_Cut_otter_ai.en_US.srt [1009 bytes] || ComClas_Final_Cut_otter_ai.en_US.vtt [1022 bytes] || ",
            "hits": 250
        },
        {
            "id": 4968,
            "url": "https://svs.gsfc.nasa.gov/4968/",
            "result_type": "Visualization",
            "release_date": "2022-03-09T09:00:00-05:00",
            "title": "Iowa Cropland 2001-2020",
            "description": "Modeled Iowa corn (yellow) and soybean (green) yields from 2001-2020. || IowaCrops_2022-02-17_1606.01240_print.jpg (1024x576) [479.4 KB] || IowaCrops_2022-02-17_1606.01240_searchweb.png (320x180) [124.0 KB] || IowaCrops_2022-02-17_1606.01240_web.png (320x180) [124.0 KB] || IowaCrops_2022-02-17_1606.01240_thm.png (80x40) [7.7 KB] || IowaCrops_2022-02-17_1606_1080p30.webm (1920x1080) [12.7 MB] || IowaCrops_2022-02-17_1606_1080p30.mp4 (1920x1080) [267.3 MB] || main (3840x2160) [0 Item(s)] || IowaCrops_2022-02-17_1606.mp4 (3840x2160) [491.4 MB] || IowaCrops_2022-02-17_1606_1080p30.mp4.hwshow [199 bytes] || ",
            "hits": 38
        },
        {
            "id": 4972,
            "url": "https://svs.gsfc.nasa.gov/4972/",
            "result_type": "Visualization",
            "release_date": "2022-03-09T09:00:00-05:00",
            "title": "Increasingly Dangerous Climate for Agricultural Workers",
            "description": "A warming climate will create challenges for agricultural workers. This visualization shows the increased number of days per year that are expected to have a NOAA Heat Index greater than 103 degrees Fahrenheit based on two different climate scenarios (SSP2-4.5 and SSP5-8.5). The visualization also plots the number of days exceeding this threshold for five select locations in the United States. The map projection in Robinson and the color map is cividis. || AgWorkerClimateGraph_4k.00899_print.jpg (1024x576) [152.0 KB] || AgWorkerClimateGraph_4k.00899_searchweb.png (180x320) [57.1 KB] || AgWorkerClimateGraph_4k.00899_thm.png (80x40) [5.8 KB] || AgWorkerClimateGraph_HD.mp4 (1920x1080) [13.8 MB] || AgWorkerClimateGraph_HD.webm (1920x1080) [3.4 MB] || AgWorkerClimateGraph_4k.mp4 (3840x2160) [37.3 MB] || AgWorkerClimateGraph_HD.mp4.hwshow [189 bytes] || ",
            "hits": 98
        },
        {
            "id": 4974,
            "url": "https://svs.gsfc.nasa.gov/4974/",
            "result_type": "Visualization",
            "release_date": "2022-03-02T13:00:00-05:00",
            "title": "Impact of Climate Change on Global Agricultural Yields",
            "description": "Data visualization of predicted wheat and maize yields through the end of this centaury based on an ensemble of crop and climate models. || AgMapMaize.00900_print.jpg (1024x576) [125.5 KB] || AgMapMaize.00900_searchweb.png (180x320) [54.2 KB] || AgMapMaize.00900_thm.png (80x40) [5.7 KB] || AgMapMaize.mp4 (3840x2160) [48.0 MB] || maize (3840x2160) [0 Item(s)] || AgMapMaize.webm (3840x2160) [5.7 MB] || ",
            "hits": 653
        },
        {
            "id": 13979,
            "url": "https://svs.gsfc.nasa.gov/13979/",
            "result_type": "Produced Video",
            "release_date": "2021-11-01T12:00:00-04:00",
            "title": "Climate Change Could Affect Global Agriculture within 10 Years",
            "description": "Average global crop yields for maize, or corn, may see a decrease of 24% by late century, with the declines becoming apparent by 2030, with high greenhouse gas emissions, according to a new NASA study. Wheat, in contrast, may see an uptick in crop yields by about 17%. The change in yields is due to the projected increases in temperature, shifts in rainfall patterns and elevated surface carbon dioxide concentrations due to human-caused greenhouse gas emissions, making it more difficult to grow maize in the tropics and expanding wheat’s growing range. || ",
            "hits": 102
        },
        {
            "id": 4950,
            "url": "https://svs.gsfc.nasa.gov/4950/",
            "result_type": "Visualization",
            "release_date": "2021-10-29T10:00:00-04:00",
            "title": "GEDI Forest Height",
            "description": "This visualization depicts a global view of forest height data collected by the GEDI instrument aboard the International Space Station.  Brown and dark green represent shorter vegetation.  Bright green and white represent taller vegetation.  This visualization uses data collected between April 2019 and April 2020. Height is exaggerated to depict variation at this scale.Coming soon to our YouTube channel. || GEDI_global_w_colorbar_0900_print.jpg (1024x576) [83.4 KB] || GEDI_global_w_colorbar_0900_searchweb.png (320x180) [42.8 KB] || GEDI_global_w_colorbar_0900_thm.png (80x40) [4.0 KB] || GEDI_global_w_colorbar_1080p60.mp4 (1920x1080) [17.7 MB] || GEDI_global_w_colorbar_1080p60.webm (1920x1080) [6.0 MB] || GEDI_global_w_colorbar (3840x2160) [0 Item(s)] || GEDI_global_w_colorbar_2160p30.mp4 (3840x2160) [61.5 MB] || GEDI_global_w_colorbar_2160p60.mp4 (3840x2160) [65.5 MB] || captions_silent.31845.en_US.srt [43 bytes] || ",
            "hits": 325
        },
        {
            "id": 4914,
            "url": "https://svs.gsfc.nasa.gov/4914/",
            "result_type": "Visualization",
            "release_date": "2021-09-01T00:00:00-04:00",
            "title": "Impact of Climate Change on Global Wheat Yields",
            "description": "Data visualization of predicted Wheat yields through the end of this centaury based on an ensemble of crop and climate models. || WheatMapFuture.01000_print.jpg (1024x576) [123.1 KB] || WheatMapFuture.01000_searchweb.png (320x180) [54.6 KB] || WheatMapFuture.01000_web.png (320x180) [54.6 KB] || WheatMapFuture.01000_thm.png (80x40) [5.4 KB] || WheatMapFuture_1080p.mp4 (1920x1080) [21.7 MB] || WheatMapFuture.mp4 (3840x2160) [79.7 MB] || WheatMapFuture.webm (3840x2160) [6.4 MB] ||",
            "hits": 192
        },
        {
            "id": 4925,
            "url": "https://svs.gsfc.nasa.gov/4925/",
            "result_type": "Visualization",
            "release_date": "2021-08-23T00:00:00-04:00",
            "title": "Impact of Climate Change on Global Maize Yields",
            "description": "Data visualization of predicted maize yields through the end of this centaury based on an ensemble of crop and climate models. || MaizeMapFuture.01000_print.jpg (1024x576) [134.0 KB] || MaizeMapFuture.01000_searchweb.png (320x180) [55.5 KB] || MaizeMapFuture.01000_web.png (320x180) [55.5 KB] || MaizeMapFuture.01000_thm.png (80x40) [5.5 KB] || MaizeMapFuture_1080p.mp4 (1920x1080) [34.9 MB] || MaizeMapFuture_1080p.webm (1920x1080) [3.8 MB] || MaizeMapFuture.mp4 (3840x2160) [78.9 MB] || ",
            "hits": 169
        },
        {
            "id": 13910,
            "url": "https://svs.gsfc.nasa.gov/13910/",
            "result_type": "Produced Video",
            "release_date": "2021-08-18T14:00:00-04:00",
            "title": "Snack Time with NASA",
            "description": "Snack Time with NASA digs into the science behind what’s on your plate from a tasty cheese board, to seafood, to fresh produce, to chips and dip.Food can bring us a sense of home, and it connects people all around the world. With observations from space and aircraft, combined with high-end computer modeling, NASA scientists work together with partner agencies, organizations, farmers, ranchers, fishermen, and decision makers to understand the relationship between the Earth system and the environments that provide us food. || ",
            "hits": 38
        },
        {
            "id": 13905,
            "url": "https://svs.gsfc.nasa.gov/13905/",
            "result_type": "Produced Video",
            "release_date": "2021-08-10T17:00:00-04:00",
            "title": "Snack Time with NASA: Ceviche [en Español]",
            "description": "This video is in Spanish, with both English and Spanish subtitles available. || Food_Drink_Fisheries_Final.00001_print.jpg (1024x576) [163.7 KB] || Food_Drink_Fisheries_Final.00001_searchweb.png (320x180) [83.0 KB] || Food_Drink_Fisheries_Final.00001_web.png (320x180) [83.0 KB] || Food_Drink_Fisheries_Final.00001_thm.png (80x40) [7.4 KB] || Food_Drink_Fisheries_Final.mp4 (1920x1080) [662.1 MB] || Food_Drink_ceviche_smaller.mp4 (1920x1080) [462.0 MB] || Food_Drink_ceviche_smallest.mpeg (1920x1080) [2.0 GB] || Food_Drink_Fisheries_Final.webm (1920x1080) [70.6 MB] || Food_and_Drink_ceviche_English_captions.en_US.srt [11.7 KB] || Food_and_Drink_ceviche_English_captions.en_US.vtt [11.2 KB] || Food_and_Drink_ceviche_Spanish_captions.es_US.srt [12.5 KB] || Food_and_Drink_ceviche_Spanish_captions.es_US.vtt [12.0 KB] || ",
            "hits": 20
        },
        {
            "id": 13899,
            "url": "https://svs.gsfc.nasa.gov/13899/",
            "result_type": "Produced Video",
            "release_date": "2021-07-28T15:00:00-04:00",
            "title": "Snack Time with NASA: Chips & Dip",
            "description": "Music credit: “Happy Accident” from Universal Production MusicThis video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery is provided by pond5.com and is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || 13899_Thumbnail_print.jpg (1024x576) [188.2 KB] || 13899_Thumbnail.png (2646x1490) [5.6 MB] || 13899_Thumbnail_searchweb.png (320x180) [95.2 KB] || 13899_Thumbnail_web.png (320x180) [95.2 KB] || 13899_Thumbnail_thm.png (80x40) [11.2 KB] || 13899_Cooking_Show_Crops.webm (960x540) [220.1 MB] || TWITTER_720_13899_Cooking_Show_Crops.mp4 (1280x720) [98.8 MB] || 13899_Cooking_Show_Crops.mp4 (1920x1080) [1.2 GB] || 13899_Cooking_Show_Crops.en_US.srt [12.0 KB] || 13899_Cooking_Show_Crops.en_US.vtt [12.0 KB] || ",
            "hits": 17
        },
        {
            "id": 13894,
            "url": "https://svs.gsfc.nasa.gov/13894/",
            "result_type": "Produced Video",
            "release_date": "2021-07-26T09:00:00-04:00",
            "title": "Keeping Track of Food Production From Space",
            "description": "Music: Building Ideas [Instrumental] by Todd James Carlin BakerComplete transcript available. || GLAM_thumbnail.png (1280x720) [796.0 KB] || GLAM_thumbnail_print.jpg (1024x576) [133.6 KB] || GLAM_thumbnail_searchweb.png (320x180) [57.4 KB] || GLAM_thumbnail_thm.png (80x40) [5.1 KB] || GLAM_FINAL.mov (1280x720) [887.4 MB] || GLAM_FINAL.mp4 (1280x720) [122.3 MB] || GLAM_FINAL.webm (1280x720) [13.1 MB] || GLAM_Captions.en_US.srt [2.3 KB] || GLAM_Captions.en_US.vtt [2.3 KB] || ",
            "hits": 30
        },
        {
            "id": 13842,
            "url": "https://svs.gsfc.nasa.gov/13842/",
            "result_type": "Produced Video",
            "release_date": "2021-04-21T13:00:00-04:00",
            "title": "NASA Explores Earth’s Connections",
            "description": "Complete transcript available. || EarthDay2021Connectionsv1080.00750_print.jpg (1024x576) [126.5 KB] || EarthDay2021Connectionsv1080.00750_searchweb.png (320x180) [61.3 KB] || EarthDay2021Connectionsv1080.00750_web.png (320x180) [61.3 KB] || EarthDay2021Connectionsv1080.00750_thm.png (80x40) [5.9 KB] || EarthDay2021Connectionsv1080.mp4 (1920x1080) [426.0 MB] || EarthDay2021Connectionsv1080.webm (1920x1080) [34.3 MB] || EarthDay2021ConnectionsFinal.mp4 (3840x2160) [426.2 MB] || EarthDay2021ConnectionsFinal.en_US.srt [5.0 KB] || EarthDay2021ConnectionsFinal.en_US.vtt [5.0 KB] || ",
            "hits": 115
        },
        {
            "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": 55
        },
        {
            "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": 60
        },
        {
            "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": 25
        },
        {
            "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": 39
        },
        {
            "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": 81
        },
        {
            "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": 24
        },
        {
            "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": 28
        },
        {
            "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": 57
        },
        {
            "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": 655
        },
        {
            "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": 71
        },
        {
            "id": 4877,
            "url": "https://svs.gsfc.nasa.gov/4877/",
            "result_type": "Visualization",
            "release_date": "2021-04-05T15:30:00-04:00",
            "title": "Ecological insights from three decades of animal movement tracking across a changing Arctic",
            "description": "Animal movement tracking across the arctic on top of seasonal natural phenomena like changing vegetation, snow (white), and sea ice (light purple).This video is also available on our YouTube channel. || migration_final_024.1000_print.jpg (1024x576) [74.8 KB] || migration_final_024.1000_print_print.jpg (1024x576) [36.9 KB] || migration_final_024.1000_print_searchweb.png (320x180) [52.6 KB] || migration_final_024.1000_print_web.png (320x180) [52.6 KB] || migration_final_024.1000_print_thm.png (80x40) [4.3 KB] || migration_final_024_1080p59.94.webm (1920x1080) [17.1 MB] || migration_final_024_1080p59.94.mp4 (1920x1080) [103.0 MB] || north_america (3840x2160) [0 Item(s)] || captions_silent.30466.en_US.srt [43 bytes] || migration_final_024_2160p59.94.mp4 (3840x2160) [297.5 MB] || migration_final_024_1080p.hwshow [83 bytes] || ",
            "hits": 114
        },
        {
            "id": 13756,
            "url": "https://svs.gsfc.nasa.gov/13756/",
            "result_type": "Produced Video",
            "release_date": "2021-03-29T09:00:00-04:00",
            "title": "How NASA Data Helps Study Animals on the Move",
            "description": "Music: \"The Morning Mist,\" \"Big Data,\" Universal Production MusicNotes on footage:00:00 - 00:30 Provided by pond5.comAdditional wildlife footage provided by Max Planck Institute of Animal Behavior/Kolguev Goose Catching/Michael Wethington as indicated on screen.Complete transcript available. || caribouthumb.png (1651x922) [3.2 MB] || caribouthumb_print.jpg (1024x571) [260.1 KB] || caribouthumb_searchweb.png (320x180) [145.0 KB] || caribouthumb_thm.png (80x40) [11.9 KB] || MigrationGPMFinal_prores.mov (1920x1080) [2.7 GB] || MigrationGPMFinal_YT.mp4 (1920x1080) [318.8 MB] || MigrationGPMFinal_prores.webm (1920x1080) [22.3 MB] || Migration.en_US.srt [3.7 KB] || Migration.en_US.vtt [3.7 KB] || ",
            "hits": 41
        },
        {
            "id": 13614,
            "url": "https://svs.gsfc.nasa.gov/13614/",
            "result_type": "Produced Video",
            "release_date": "2020-05-18T11:00:00-04:00",
            "title": "40 Years of Forest Recovery",
            "description": "The long record of Landsat data (since 1972) is helping scientists Sean Healey and Zhiqiang Yang of the Rocky Mountain Research Station (U.S. Forest Service) study the long-term impact of the May 18, 1980, eruption of Mount St. Helens. With Landsat data for 8 years before the eruption, and 40 years since, they have calculated the percent tree cover for each year, watching as vegetation grows back.Music: The Waiting Room by Sam Dodson [PRS], published by Atmosphere Music Ltd [PRS]; Inner Strength by Brava [SGAE], Dsilence [SGAE], Input [SGAE] , Output [SGAE], published by El Murmullo Sarao [SGAE], Universal Sarao [SGAE], Some Assembly by Kyle Fredrickson [ASCAP] and Taylor Alexander Locke [BMI], published by Killer Tracks [BMI], Soundcast Music [SESAC], and Light From Dark by Adam Salkeld [PRS] and Neil Pollard [PRS], published by Atmosphere Music Ltd [PRS], all available from Universal Production Music.Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13614_Mt_St_Helens_Landsat.png (1920x1080) [4.0 MB] || 13614_Mt_St_Helens_print.png (1920x1080) [3.5 MB] || 13614_Mt_St_Helens_print_print.jpg (1024x576) [287.9 KB] || 13614_Mt_St_Helens_print_searchweb.png (320x180) [106.3 KB] || 13614_Mt_St_Helens_print_thm.png (80x40) [7.4 KB] || 13614_Mt_St_Helens_prores.mov (1920x1080) [11.9 GB] || 13614_Mt_St_Helens_youtube.mp4 (1920x1080) [411.3 MB] || 13614_Mt_St_Helens_facebook.mp4 (1920x1080) [354.9 MB] || 13614_Mt_St_Helens_twitter.mp4 (1504x846) [139.3 MB] || 13614_Mt_St_Helens_youtube.webm (1920x1080) [47.9 MB] || 13614_Mt_St_Helens-captions.en_US.srt [8.6 KB] || 13614_Mt_St_Helens-captions.en_US.vtt [8.6 KB] || ",
            "hits": 63
        },
        {
            "id": 13592,
            "url": "https://svs.gsfc.nasa.gov/13592/",
            "result_type": "Produced Video",
            "release_date": "2020-04-23T12:00:00-04:00",
            "title": "Guiding Farmers with NASA Satellites",
            "description": "Agriculture in Pakistan is dependent on irrigation from the Indus River, but over the years, these freshwater resources have become scarce. Today, it is one of the world’s most depleted basins. To tackle this, farmers are attempting to predict and track freshwater resources with the help of NASA satellites and cell phones. || ",
            "hits": 2592
        },
        {
            "id": 4806,
            "url": "https://svs.gsfc.nasa.gov/4806/",
            "result_type": "Visualization",
            "release_date": "2020-03-31T00:00:00-04:00",
            "title": "GRACE Data Assimilation and GEOS-5 Forecasts",
            "description": "GRACE Surface Water, Root Zone, and Groundwater Storage, Okovango Delta Region || okovango_1080p30.00500_print.jpg (1024x576) [74.4 KB] || okovango_1080p30.00500_searchweb.png (320x180) [56.1 KB] || okovango_1080p30.00500_thm.png (80x40) [5.8 KB] || okovango_1080p30.mp4 (1920x1080) [27.9 MB] || okovango_1080p30.webm (1920x1080) [7.1 MB] || okovango_1080p30.mp4.hwshow [388 bytes] || ",
            "hits": 49
        },
        {
            "id": 13543,
            "url": "https://svs.gsfc.nasa.gov/13543/",
            "result_type": "Produced Video",
            "release_date": "2020-02-12T10:00:00-05:00",
            "title": "Landsat: Farming Data From Space",
            "description": "Landsat satellites have been gathering data for 48 years, equipping scientists and farmers to answer big questions about how to improve agriculture around the world. From tracking crop production, assessing crop health, and monitoring water use, Landsat data provides tangible benefits to the USA and the world. Landsat satellites are built and lauched by NASA, and operated by USGS. Complete transcript available.Music: \"Lines of Enquiry\" by Theo Golding [PRS], published by Atmosphere Music [PRS]Watch this video on the NASA Goddard YouTube channel. || LandsatAg-Thumbnail.png (1920x1080) [4.0 MB] || LandsatAg-Thumbnail_print.jpg (1024x576) [166.3 KB] || LandsatAg-Thumbnail_searchweb.png (320x180) [109.3 KB] || LandsatAg-Thumbnail_thm.png (80x40) [6.6 KB] || LandsatAg-FINAL.mov (1920x1080) [3.2 GB] || LandsatAg-FINAL_youtube_1080.mp4 (1920x1080) [148.1 MB] || LandsatAg-FINAL_facebook_720.mp4 (1280x720) [110.9 MB] || LandsatAg-FINAL_twitter_720.mp4 (1280x720) [20.1 MB] || LandsatAg-FINAL.webm (960x540) [39.3 MB] || LandsatAg-FINAL-captions.en_US.srt [1.8 KB] || LandsatAg-FINAL-captions.en_US.vtt [1.8 KB] || ",
            "hits": 118
        },
        {
            "id": 13417,
            "url": "https://svs.gsfc.nasa.gov/13417/",
            "result_type": "Produced Video",
            "release_date": "2019-11-27T12:00:00-05:00",
            "title": "Landsat Croplands Data Overview",
            "description": "The U.S. Department of Agriculture tracks how many acres and the annual yield for every crop produced. One method used to estimate crop acreage and yield is remote-sensing data from the NASA-USGS Landsat satellite program. The program started in 1997,with North Dakota, and by 2008 covered the entire lower 48 states and the District of Columbia. Music: \"Downloading Landscapes\" by Andrew Michael Britton [PRS] and David Stephen Goldsmith [PRS]. Published by Atmosphere Music Ltd [PRS].Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13417_Landsat_Croplands_print.jpg (1920x1080) [940.0 KB] || 13417_Landsat_Croplands_print_searchweb.png (180x320) [52.1 KB] || 13417_Landsat_Croplands_print_thm.png (80x40) [4.6 KB] || 13417_Landsat_Croplands.webm (1920x1080) [19.7 MB] || 13417_Landsat_Croplands.mp4 (1920x1080) [292.2 MB] || 13417_Landsat_Croplands-captions.en_US.srt [3.0 KB] || 13417_Landsat_Croplands-captions.en_US.vtt [3.0 KB] || 13417_Landsat_Croplands.mov (1920x1080) [4.8 GB] || 13417_Landsat_Croplands.mp4.hwshow [423 bytes] || ",
            "hits": 138
        },
        {
            "id": 13313,
            "url": "https://svs.gsfc.nasa.gov/13313/",
            "result_type": "Produced Video",
            "release_date": "2019-09-12T00:00:00-04:00",
            "title": "NASA Science Live: A World of Fires (Episode 8)",
            "description": "NASA Science Live: A World of Fires (Episode 8)Program Aired September 12, 2019 || 13313_NSL_Fires_Ep8_youtube.00377_print.jpg (1024x576) [73.1 KB] || 13313_NSL_Fires_Ep8_youtube.00377_searchweb.png (320x180) [77.6 KB] || 13313_NSL_Fires_Ep8_youtube.00377_thm.png (80x40) [5.7 KB] || 13313_NSL_Fires_Ep8_lowres.mp4 (1280x720) [551.2 MB] || 13313_NSL_Fires_Ep8_youtube.mp4 (1280x720) [3.1 GB] || 13313_NSL_Fires_Ep8.mov (1280x720) [20.7 GB] || 13313_NSL_Fires_Ep8_youtube.webm (1280x720) [222.2 MB] || 13313_NSL_Fires_Ep8.en_US.srt [57.8 KB] || 13313_NSL_Fires_Ep8.en_US.vtt [54.6 KB] || ",
            "hits": 32
        },
        {
            "id": 4735,
            "url": "https://svs.gsfc.nasa.gov/4735/",
            "result_type": "Visualization",
            "release_date": "2019-07-29T18:30:00-04:00",
            "title": "NASA Surveys Hurricane Damage to Puerto Rico's Forests (Data Viz Version)",
            "description": "Hurricane Maria transformed the lush rainforests of Puerto Rico leaving lots of openings in the forest canopy. NASA scientists studied the island's forests before and after the storm. Goddard's Lidar, Hyperspectral, and Thermal Imager (G-LiHT) is a portable instrument that maps forest health and structure from a small airplane resulting in detailed 3-D views of the forest. G-LiHT sends out 600,000 laser pulses every second mapping leaves and branches, rocks and streams. Almost 60% of the canopy trees lost branches, snapped in half, or were uprooted. Trees with wide, spreading crowns were reduced to a slender main trunk. Forests in Puerto Rico are now one-third shorter on average, after Hurricane Maria. The disturbances affected the whole ecosystem, from soils and streams to birds and frogs. G-LiHT data will help scientists understand how forests and wildlife respond to future changes. || SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg (1024x576) [90.3 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_searchweb.png (320x180) [89.6 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_thm.png (80x40) [7.1 KB] || SIGGRAPH_PuertoRicoLidar.webm (1920x1080) [19.9 MB] || SIGGRAPH_lidar_over_Puerto_Rico.webm (1920x1080) [21.4 MB] || SIGGRAPH_PuertoRicoLidar.mp4 (1920x1080) [253.0 MB] || ",
            "hits": 39
        },
        {
            "id": 4718,
            "url": "https://svs.gsfc.nasa.gov/4718/",
            "result_type": "Visualization",
            "release_date": "2019-05-23T00:00:00-04:00",
            "title": "Visualization Elements for Global Freshwater Campaign",
            "description": "The following visualizations and animations were created in support of the video release \"NASA Follows Changing Freshwater from Space,\" entry ID 13227, for use as elements within the video. || ",
            "hits": 23
        },
        {
            "id": 13198,
            "url": "https://svs.gsfc.nasa.gov/13198/",
            "result_type": "Produced Video",
            "release_date": "2019-05-01T13:00:00-04:00",
            "title": "Human Influence on Global Droughts Goes Back 100 Years",
            "description": "Music: In Light of Things by Matthew Charles Gilbert DavidsonComplete transcript available. || Hydroclimate_Thumbnail.png (1920x1080) [3.1 MB] || Hydroclimate_Thumbnail_print.jpg (1024x576) [166.5 KB] || Hydroclimate_Thumbnail_searchweb.png (320x180) [114.8 KB] || Hydroclimate_Thumbnail_thm.png (80x40) [7.6 KB] || Hydroclimate_highres.mp4 (1920x1080) [330.6 MB] || Hydroclimate_V4.en_US.srt [1.8 KB] || Hydroclimate_V4.en_US.vtt [1.8 KB] || Hydroclimate.webm [0 bytes] || Hydroclimate.mov (1920x1080) [2.5 GB] || ",
            "hits": 313
        },
        {
            "id": 13554,
            "url": "https://svs.gsfc.nasa.gov/13554/",
            "result_type": "Produced Video",
            "release_date": "2018-12-19T00:00:00-05:00",
            "title": "NASA Explorers | Season One: Cryosphere",
            "description": "Music: Very Fast Swing by Claude Salmieri and Fabien Colella Complete transcript available. || CRYO_Trailer_Thumbnail.png (1920x1080) [926.9 KB] || CRYO_Trailer_Thumbnail_print.jpg (1024x576) [57.5 KB] || CRYO_Trailer_Thumbnail_searchweb.png (320x180) [65.6 KB] || CRYO_Trailer_Thumbnail_thm.png (80x40) [6.0 KB] || Cryo_ShowTeaser.mp4 (1920x1080) [46.5 MB] || Cryo_ShowTeaser.webm (1920x1080) [5.0 MB] || CryoTeaser_FINAL.en_US.srt [966 bytes] || CryoTeaser_FINAL.en_US.vtt [979 bytes] || ",
            "hits": 65
        },
        {
            "id": 12590,
            "url": "https://svs.gsfc.nasa.gov/12590/",
            "result_type": "Produced Video",
            "release_date": "2018-12-10T09:45:00-05:00",
            "title": "3-D Views of Puerto Rico's Forests After Hurricane Maria",
            "description": "To get a detailed look at vegetation and land cover, NASA uses an airborne instrument called Goddard’s Lidar, Hyperspectral and Thermal Airborne Imager, or G-LiHT. From the belly of a small aircraft flying one thousand feet above the trees, G-LiHT collects multiple measurements of forests, including high-resolution photographs, surface temperatures and the heights and structure of the vegetation. Watch this video on the NASA Goddard YouTube channel.Complete transcript available.Music: Letting the Past Go, by Ben Hales [PRS], Matt Hales [PRS] || 12590_Puerto_Rico_lidar_youtube_1080.00248_print.jpg (1024x576) [311.0 KB] || 12590_Puerto_Rico_lidar_youtube_1080.00248_searchweb.png (320x180) [126.9 KB] || 12590_Puerto_Rico_lidar_youtube_1080.00248_thm.png (80x40) [6.4 KB] || 12590_Puerto_Rico_lidar_twitter_720.mp4 (1280x720) [29.6 MB] || 12590_Puerto_Rico_lidar.webm (960x540) [49.2 MB] || 12590_Puerto_Rico_lidar_youtube_720.mp4 (1280x720) [182.1 MB] || 12590_Puerto_Rico_lidar_youtube_1080.mp4 (1920x1080) [193.0 MB] || 12590_Puerto_Rico_lidar-captions.en_US.srt [1.6 KB] || 12590_Puerto_Rico_lidar-captions.en_US.vtt [1.6 KB] || 12590_Puerto_Rico_lidar_prores.mov (1920x1080) [1.7 GB] || ",
            "hits": 36
        },
        {
            "id": 13100,
            "url": "https://svs.gsfc.nasa.gov/13100/",
            "result_type": "Produced Video",
            "release_date": "2018-11-07T07:45:00-05:00",
            "title": "GEDI: Mapping Carbon in 3-D",
            "description": "The Global Ecosystem Dynamics Investigation (GEDI) instrument will measure forest structure and canopy height, from a perch on the International Space Station. By sending laser pulses down to Earth, GEDI will generate a three-dimensional map of forest structure that will allow scientists to better understand where carbon is being stored around the world.Music: \"Hard Thinking\" by Leonard-Morgen and \"Hidden Files\" by Sam Dodson [PRS] Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13100_GEDI_texter_still_print.jpg (1024x576) [121.7 KB] || 13100_GEDI_texter_still_searchweb.png (320x180) [103.7 KB] || 13100_GEDI_texter_still_thm.png (80x40) [8.2 KB] || 13100_GEDI_texter_still.tif (1920x1080) [7.9 MB] || 13100_GEDI_texter.webm (1920x1080) [10.5 MB] || 13100_GEDI_texter.mp4 (1920x1080) [152.6 MB] || 13100_GEDI_texter_720.mp4 (1280x720) [152.3 MB] || 13100_GEDI_texter-captions.en_US.srt [1.4 KB] || 13100_GEDI_texter-captions.en_US.vtt [1.5 KB] || 13100_GEDI_texter.mov (1920x1080) [2.6 GB] || ",
            "hits": 100
        },
        {
            "id": 12991,
            "url": "https://svs.gsfc.nasa.gov/12991/",
            "result_type": "Produced Video",
            "release_date": "2018-07-10T14:00:00-04:00",
            "title": "NASA Surveys Hurricane Damage to Puerto Rico's Forests",
            "description": "Overview of field expedition to Puerto Rico in April 2018, to survey the recovery of forests since Hurricanes Irma and Maria hit the island seven months before.Complete transcript available.Music: Treehouse Imaginations by  Zachary Scott Lemon [BMI]Down Terrace by Damien Deschamps [SACEM]Reloj by Kevin Carbo [BMI]Living Forest by  Luca Proietti [SIAE]Watch this video on the NASA Goddard YouTube channel. || 12991-mangroves_and_plane_wing_IMG_0852.jpg (5184x3456) [1.3 MB] || 12991-mangroves_and_plane_wing_IMG_0852_searchweb.png (320x180) [84.2 KB] || 12991-mangroves_and_plane_wing_IMG_0852_thm.png (80x40) [6.2 KB] || 12991_Puerto_Rico_lidar_V2_prores.mov (1920x1080) [8.9 GB] || 12991_Puerto_Rico_lidar_V2_youtube_1080.mp4 (1920x1080) [558.3 MB] || 12991_Puerto_Rico_lidar_V2.mp4 (1920x1080) [328.9 MB] || 12991_Puerto_Rico_lidar_V2_large.mp4 (1920x1080) [343.8 MB] || 12991_Puerto_Rico_lidar_V2_youtube_720.mp4 (1280x720) [563.1 MB] || 12991_Puerto_Rico_lidar_twitter_720.mp4 (1280x720) [78.7 MB] || 12991_Puerto_Rico_lidar.webm (1920x1080) [39.1 MB] || 12991_Puerto_Rico_lidar-captions.en_US.srt [7.4 KB] || 12991_Puerto_Rico_lidar-captions.en_US.vtt [7.4 KB] || ",
            "hits": 21
        },
        {
            "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": 85
        },
        {
            "id": 12794,
            "url": "https://svs.gsfc.nasa.gov/12794/",
            "result_type": "Produced Video",
            "release_date": "2017-12-12T00:00:00-05:00",
            "title": "A Summer ABoVE the Warming Arctic",
            "description": "Scientists with NASA's Arctic Boreal Vulnerability Experiment - ABoVE - are studying how the Arctic region responds to climate change. Looking at everything from thawing permafrost underground to wildfires, the researchers are working to create a comprehensive picture of the warming Arctic.This summer, the team brought a fleet of planes to fly over Alaska and Canada and gather data to complement measurements taken from the ground. The ABoVE campaign is designed to last for ten years. || ",
            "hits": 34
        },
        {
            "id": 12684,
            "url": "https://svs.gsfc.nasa.gov/12684/",
            "result_type": "Produced Video",
            "release_date": "2017-08-15T16:00:00-04:00",
            "title": "Earth Expedition: Studying Wildfires in a Warming Arctic",
            "description": "Music: Suspended Beauty by Laurent Dury [SACEM]Complete transcript available. || LARGE_MP4-Aug7_Wildfires_large.00529_print.jpg (1024x576) [58.4 KB] || LARGE_MP4-Aug7_Wildfires_large.00529_searchweb.png (320x180) [59.1 KB] || LARGE_MP4-Aug7_Wildfires_large.00529_thm.png (80x40) [4.7 KB] || WEBM-Aug7_Wildfires.webm (960x540) [13.5 MB] || LARGE_MP4-Aug7_Wildfires_large.mp4 (1920x1080) [35.0 MB] || APPLE_TV-Aug7_Wildfires_appletv.m4v (1280x720) [12.5 MB] || YOUTUBE_HQ-Aug7_Wildfires_youtube_hq.mov (1920x1080) [141.4 MB] || APPLE_TV-Aug7_Wildfires_appletv_subtitles.m4v (1280x720) [12.5 MB] || Aug7_Wildfires.en_US.srt [464 bytes] || Aug7_Wildfires.en_US.vtt [477 bytes] || NASA_PODCAST-Aug7_Wildfires_ipod_sm.mp4 (320x240) [4.8 MB] || ",
            "hits": 18
        },
        {
            "id": 4575,
            "url": "https://svs.gsfc.nasa.gov/4575/",
            "result_type": "Visualization",
            "release_date": "2017-07-31T00:00:00-04:00",
            "title": "NASA Studies Hurricane Matthew",
            "description": "This data visualization follows Hurricane Matthew throughout its destructive run in the Caribbean and Southeast U.S. coast. By utilizing different data sets from NOAA's GOES satellite, NASA/JAXA's GPM, MERRA-2 model runs, IMERG, Goddard's soil moisture product, and sea surface temperatures, scientists are able to put together a clearer picture of how this hurricane quickly intensified and eventually weakened. || matthew_narrated_v106.5800_print.jpg (1024x576) [189.6 KB] || matthew_narrated_v106.5800_searchweb.png (320x180) [114.8 KB] || matthew_narrated_v106.5800_thm.png (80x40) [7.8 KB] || matthew (1920x1080) [0 Item(s)] || matthew_narrated_v106.webm (1920x1080) [22.0 MB] || matthew_narrated_v106.mp4 (1920x1080) [140.5 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || matthew_narrated_v106_4k.mp4 (3840x2160) [443.1 MB] || matthew_narrated_nosound.hwshow || ",
            "hits": 46
        },
        {
            "id": 4523,
            "url": "https://svs.gsfc.nasa.gov/4523/",
            "result_type": "Visualization",
            "release_date": "2017-03-29T13:00:00-04:00",
            "title": "Irrigation and Groundwater Depletion",
            "description": "A time series of global irrigation and groundwater depletion maps reveals geographical patterns in the use of fresh water for agriculture.The amount of water involved is enormous. Worldwide, the irrigation of farmland accounts for about 70% of the fresh water diverted by human activity. We might each drink only a few liters (quarts) of water per day, but the food we eat can require a thousand times as much water to produce. Some of the underground aquifers tapped for irrigation replenish so slowly that they are considered a non-renewable resource. The overuse of this groundwater could have long-term consequences for food security and the stability of global markets in food, cotton, and other agricultural products.A new study by researchers at University College London and NASA's Goddard Institute of Space Studies in New York City combines trade data and a global water usage model to determine which crops are grown with non-renewable groundwater and where those crops are consumed. The study appears in the March 30, 2017 issue of Nature. || ",
            "hits": 419
        },
        {
            "id": 12429,
            "url": "https://svs.gsfc.nasa.gov/12429/",
            "result_type": "Produced Video",
            "release_date": "2017-03-29T12:00:00-04:00",
            "title": "Crop Irrigation Is Closely Tied to Groundwater Depletion Around the World",
            "description": "The irrigation that grows crops, especially in dry countries, can also be responsible for taxing aquifers beyond their capacities. Groundwater depletion is embedded in the international food trade, with countries exporting crops grown from overexploited aquifers and setting up potential future food crises if the aquifers run dry. || ",
            "hits": 95
        },
        {
            "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": 30601,
            "url": "https://svs.gsfc.nasa.gov/30601/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-05-20T00:00:00-04:00",
            "title": "SMAP's First High-Resolution Global Soil Moisture Map",
            "description": "A global map of soil moisture || smap_global_moisture_20150504-20150511_PIA19337_print.jpg (1024x576) [113.1 KB] || smap_global_moisture_20150504-20150511_PIA19337.png (5760x3240) [5.3 MB] || smap_global_moisture_20150504-20150511_PIA19337_searchweb.png (320x180) [43.4 KB] || smap_global_moisture_20150504-20150511_PIA19337_thm.png (80x40) [4.7 KB] || smap_global_moisture_30601.pptx [5.8 MB] || smap_global_moisture_30601.key [8.5 MB] || smap_global_moisture_20150504-20150511_PIA19337.hwshow [262 bytes] || ",
            "hits": 47
        },
        {
            "id": 30599,
            "url": "https://svs.gsfc.nasa.gov/30599/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-05-17T00:00:00-04:00",
            "title": "Soil Moisture Maps and Australian Rainfall",
            "description": "A series of images shows soil moisture and flooding in Australia. || smap_rainfall_australia_april_2015_print.jpg (1024x574) [129.9 KB] || smap_rainfall_australia_april_2015.png (4104x2304) [1.6 MB] || smap_rainfall_australia_april_2015_searchweb.png (180x320) [62.4 KB] || smap_rainfall_australia_april_2015_thm.png (80x40) [6.9 KB] || smap_rainfall_australia_april_2015_30599.key [4.6 MB] || smap_rainfall_australia_april_2015_30599.pptx [2.0 MB] || smap_rainfall_australia_april_2015.hwshow [236 bytes] || ",
            "hits": 33
        },
        {
            "id": 30596,
            "url": "https://svs.gsfc.nasa.gov/30596/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-04-21T00:00:00-04:00",
            "title": "NASA Soil Moisture Mission Produces First Global Maps",
            "description": "SMAP radiometer image. || SMAP_brightness_temperature_PIA18057_print.jpg (1024x574) [154.9 KB] || SMAP_brightness_temperature_PIA18057.png (4104x2304) [5.3 MB] || SMAP_brightness_temperature_PIA18057_web.jpg (319x179) [20.4 KB] || SMAP_brightness_temperature_PIA18057_searchweb.png (320x180) [65.2 KB] || SMAP_brightness_temperature_PIA18057.pptx [2.6 MB] || SMAP_brightness_temperature_PIA18057.key [8.7 MB] || SMAP_brightness_temperature_PIA18057.hwshow [121 bytes] || ",
            "hits": 11
        },
        {
            "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": 26
        },
        {
            "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": 22
        },
        {
            "id": 4165,
            "url": "https://svs.gsfc.nasa.gov/4165/",
            "result_type": "Visualization",
            "release_date": "2014-07-07T12:45:00-04:00",
            "title": "Aquarius Soil Moisture",
            "description": "This visualization shows soil moisture measurements taken by NASA’s Aquarius instrument from September 2011 to September 2013. Soil moisture, the water contained within soil particles, is an important player in Earth's water cycle. It is essential for plant life and influences weather and climate. Satellite readings of soil moisture will help scientists better understand the climate system and have potential for a wide range of applications, from advancing climate models, weather forecasts, drought monitoring and flood prediction to informing water management decisions and aiding in predictions of agricultural productivity. Here, soil moisture in the top 2 inches of the land is visible. || ",
            "hits": 25
        },
        {
            "id": 4162,
            "url": "https://svs.gsfc.nasa.gov/4162/",
            "result_type": "Visualization",
            "release_date": "2014-04-23T10:00:00-04:00",
            "title": "Drought may take a toll on Congo Rainforest, NASA Satellites Show",
            "description": "A new analysis of NASA satellite data shows that Africa's Congo rainforest, the second-largest tropical rainforest in the world, has undergone a large-scale decline in greenness over the past decade.The study, lead by Liming Zhou of University at Albany, State University of New York, shows that between 2000 and 2012, the decline affected an increasing amount of forest area and intensified. The research, published April 23 in Nature, is one of the most comprehensive observational studies to explore the effects of long-term drought on Congolese rainforests using several independent satellite sensors.Scientists use the satellite-derived \"greenness\" of forest regions as one indicator of a forest's health. While this study looks specifically at the impact of a persistent drought in the Congo region since 2000, researchers say that a continued drying trend might alter the composition and structure of the Congo rainforest, affecting its biodiversity and carbon storage.\"It's important to understand these changes because most climate models predict that tropical forests may be under stress due to increasing severe water shortages in a warmer and drier 21st century climate,\" Zhou said.Previous research used satellite-based measurements of vegetation greenness to investigate changes in the Amazon rainforest, notably the effects of severe short-term droughts in 2005 and 2010. Until now, little attention has been paid to African rainforests, where ground measurements are even sparser than in the Amazon and where droughts are less severe but last longer.To clarify the impact of long-term drought on the Congo rainforest, Zhou and colleagues set out to see if they could detect a trend in a satellite measure of vegetation greenness called the Enhanced Vegetation Index. This measure is developed from data produced by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on NASA's Terra satellite. The scientists focused their analysis on intact, forested regions in the Congo basin during the months of April, May and June each year - the first of the area's two peak rainy and growing seasons each year.The study found a gradually decreasing trend in Congo rainforest greenness, sometimes referred to as \"browning,\" suggesting a slow adjustment to the long-term drying trend. This is in contrast to the more immediate response seen in the Amazon, such as large-scale tree mortality, brought about by more episodic drought events.The browning of the forest canopy is consistent with observed decreases in the amount of water available to plants, whether that's in the form of rainfall, water stored in the ground, water in near-surface soils, or water within the vegetation. || ",
            "hits": 76
        },
        {
            "id": 11512,
            "url": "https://svs.gsfc.nasa.gov/11512/",
            "result_type": "Produced Video",
            "release_date": "2014-04-01T12:45:00-04:00",
            "title": "Satellite Shows High Productivity From U.S. Corn Belt",
            "description": "Data from satellite sensors show that during the Northern Hemisphere's growing season, the Midwest region of the United States boasts more photosynthetic activity than any other spot on Earth, according to NASA and university scientists. || ",
            "hits": 18
        },
        {
            "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": 17
        },
        {
            "id": 30218,
            "url": "https://svs.gsfc.nasa.gov/30218/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-21T12:00:00-04:00",
            "title": "Ataturk Dam in Turkey from Landsat",
            "description": "Turkey’s Ataturk Dam was completed in 1990. It is the largest of a series of dams along the two major rivers of the region, the Tigris and Euphrates, which both have their headwaters in southeastern Turkey. It was built both to generate electricity for the region and to irrigate the plains between the Euphrates and the Tigris. In this triplet of Landsat images, the dramatic growth of the Ataturk Dam Lake in the space of 19 years is quite apparent. The newly formed lake, sometimes referred to as a sea by locals, covers some 817 square kilometer in total surface area. When the dam and its associated irrigation channels were finished, agriculture in the Harran Plains expanded. Crops such as cotton could now be grown in the dry season, where previously irrigation was limited to borewater . || ",
            "hits": 200
        },
        {
            "id": 11315,
            "url": "https://svs.gsfc.nasa.gov/11315/",
            "result_type": "Produced Video",
            "release_date": "2013-07-22T00:00:00-04:00",
            "title": "Landsat and Agriculture",
            "description": "The Landsat program has been running since 1972, having successfully launched 7 satellites into orbit.  (Landsat 6, owned by a private company, failed at launch and never reached orbit.)  Since 1972, Landsat satellites have been regularly collecting data about the Earth's land surface to help monitor our natural resources and study how land cover and land use are changing. || Landsat_timeline_5x3wall.png (6830x2304) [1.2 MB] || Landsat_timeline_5x3wall_web.jpg (317x107) [9.1 KB] || Landsat_timeline_5x3wall.png.hwshow [177 bytes] || ",
            "hits": 68
        },
        {
            "id": 4071,
            "url": "https://svs.gsfc.nasa.gov/4071/",
            "result_type": "Visualization",
            "release_date": "2013-05-08T12:00:00-04:00",
            "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in Ukraine, Russia, and Kazakhstan",
            "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change.  New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. || ",
            "hits": 47
        },
        {
            "id": 4072,
            "url": "https://svs.gsfc.nasa.gov/4072/",
            "result_type": "Visualization",
            "release_date": "2013-05-08T12:00:00-04:00",
            "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in the United States",
            "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change.  New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. The visual compares the crop conditions or NDVI anomaly from year 2011-2012 to year 2012-2013. In the 2012-2013 year 7,342 more metric tons (MT) of wheat were produced then in the previous year, but 40,086 fewer metric tons of corn were produced. || ",
            "hits": 136
        },
        {
            "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": 110
        },
        {
            "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": 16
        },
        {
            "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": 28
        },
        {
            "id": 10513,
            "url": "https://svs.gsfc.nasa.gov/10513/",
            "result_type": "Produced Video",
            "release_date": "2009-12-11T00:00:00-05:00",
            "title": "A Landsat Flyby",
            "description": "The Landsat program is the longest continuous global record of the Earth's surface, and continues to deliver both visually stunning and scientifically valuable images of our planet. This short video highlights Landsat's many benefits to society. || ",
            "hits": 18
        },
        {
            "id": 10516,
            "url": "https://svs.gsfc.nasa.gov/10516/",
            "result_type": "Produced Video",
            "release_date": "2009-11-03T00:00:00-05:00",
            "title": "Science for a Hungry World: Agriculture and Climate Change",
            "description": "How will climate change impact agriculture? This episode explores the need for accurate, continuous and accessible data and computer models to track and predict the challenges farmers face as they adjust to a changing climate.For complete transcript, click here. || Thumbnail_1280x720.jpg (1280x720) [776.8 KB] || Thumbnail_80x40.jpg (80x40) [2.6 KB] || Thumbnail_160x80.jpg (160x80) [7.9 KB] || Thumbnail_320x180.jpg (320x180) [91.4 KB] || Ag_Ep6_Climate_AppleTV.webmhd.webm (960x540) [70.8 MB] || Ag_Ep6_Climate_AppleTV.m4v (960x540) [188.6 MB] || Ag_Ep6_Climate_1280x720.mp4 (1280x720) [285.4 MB] || Ag_Ep6_Climate_640x360.m4v (640x360) [54.7 MB] || Ag_Ep6_Climate_640x480.mp4 (640x480) [112.9 MB] || Ag_Ep6_Climate_320x180.mp4 (320x180) [23.4 MB] || Ag_Ep6_Climate.wmv (320x176) [34.9 MB] || Ag_Ep6_Climate_H264.mov (1280x720) [2.7 GB] || Ag_Ep6_Climate_FullRes.mov (1280x720) [5.1 GB] || bigmovie-agriculture_part6_video.hwshow || ",
            "hits": 33
        },
        {
            "id": 10512,
            "url": "https://svs.gsfc.nasa.gov/10512/",
            "result_type": "Produced Video",
            "release_date": "2009-10-27T00:00:00-04:00",
            "title": "Science for a Hungry World: Growing Water Problems",
            "description": "One of the biggest changes to global agriculture is less about the food itself as it is about the water we use to grow it. In some areas, farmers are using freshwater resources - including groundwater - at an alarming rate. The GRACE satellites enable scientists to discover changes to underground aquifers by monitoring changes in the Earth's gravity. In northern India, farmers rely heavily on irrigation to grow crops, and the resulting massive aquifer depletion creates an uncertain future for the region. For complete transcript, click here. || Agriculture_Episode_5_Water_512x288.05177_print.jpg (1024x576) [180.7 KB] || Agriculture_Episode_5_Water_512x288_web.png (320x180) [321.0 KB] || Agriculture_Episode_5_Water_512x288_thm.png (80x40) [18.0 KB] || Agriculture_Episode_5_Water_960x540_AppleTV.webmhd.webm (960x540) [72.9 MB] || Agriculture_Episode_5_Water_1280x720_Youtube.mov (1280x720) [76.1 MB] || Agriculture_Episode_5_Water_960x540_AppleTV.m4v (960x540) [176.9 MB] || Agriculture_Episode_5_Water_1280x720_H264.mov (1280x720) [135.9 MB] || Agriculture_Episode_5_Water_640x480_ipod.m4v (640x360) [52.9 MB] || Agriculture_Episode_5_Water_512x288.mpg (512x288) [159.1 MB] || Agriculture_Episode_5_Water_320x240.mp4 (320x180) [23.2 MB] || bigmovie-science_for_a_hungry_world_5-water_problems.hwshow || ",
            "hits": 22
        },
        {
            "id": 10500,
            "url": "https://svs.gsfc.nasa.gov/10500/",
            "result_type": "Produced Video",
            "release_date": "2009-10-14T00:00:00-04:00",
            "title": "Science for a Hungry World: Food Security",
            "description": "Sponsored by USAID, the Famine Early Warning System Network (FEWS NET) was designed to help governments and aid agencies assess the need for food aid before a famine develops. This episode describes FEWS NET and looks at how FEWS NET uses NASA data to make decisions on the ground.For complete transcript, click here. || Thumbnail_320x180.02202_print.jpg (1024x576) [102.5 KB] || Thumbnail_80x40.jpg (80x40) [22.0 KB] || Thumbnail_160x80.jpg (160x80) [42.5 KB] || Thumbnail_320x180.jpg (320x180) [95.1 KB] || Food_Security_AppleTV.webmhd.webm (960x540) [84.2 MB] || Food_Security_youtube.mov (1280x720) [170.6 MB] || Food_Security_AppleTV.m4v (960x540) [214.4 MB] || Food_Security_1280x720.mp4 (1280x720) [227.1 MB] || Food_Security_h264qt.mov (1280x720) [433.4 MB] || Food_Security_ipod.m4v (640x360) [68.4 MB] || Food_Security_320x180.mp4 (320x180) [28.9 MB] || Agriculture_Food_Security.wmv (320x240) [22.5 MB] || Agriculture_Food_Security.mov (1280x720) [5.8 GB] || bigmovie-agriculture_part4_video.hwshow || ",
            "hits": 16
        },
        {
            "id": 3638,
            "url": "https://svs.gsfc.nasa.gov/3638/",
            "result_type": "Visualization",
            "release_date": "2009-10-09T00:00:00-04:00",
            "title": "Correlation Between Tropospheric Carbon Dioxide Concentration and Seasonal Variation of the Biosphere",
            "description": "This animation shows the correspondence between the drawdown of tropospheric carbon dioxide in the earth's atmosphere, and the seasonal variation of the biosphere of the earth. The pattern of white squares indicates regions where the concentration of tropospheric CO2 is higher than the trend, while regions devoid of the squares are areas where the CO2 concentrations are lower than the trend. The trend was calculated by a least-squares line fit to a moving 8-day global average of CO2 concentration provided by the AIRS instrument on the Aqua satellite, and increases over the course of the animation (Sept. 2002-Sept. 2006) from 374 ppm to 383 ppm. The biosphere data is provided by the SeaWiFS instrument aboard the SeaStar satellite.During spring and summer months, the consumption of CO2 through plant respiration increases, reducing the concentration of CO2 (the white squares) over the more productive areas. In the animation, this is seen as a tendency for the CO2 concentration to drop below the trend over areas of deeper green. The cycle is especially apparent in the Northern Hemisphere. || ",
            "hits": 69
        },
        {
            "id": 3651,
            "url": "https://svs.gsfc.nasa.gov/3651/",
            "result_type": "Visualization",
            "release_date": "2009-10-07T12:00:00-04:00",
            "title": "World Droughts From 2005 to 2009 Versus Where Crops are Grown",
            "description": "The Global Inventory Monitoring and Modeling Studies (GIMMS) group at NASA Goddard Space Flight Center (NASA/GSFC) provides United States Department of Agriculture/Foreign Agricultural Service (USDA/FAS) with global data stream of NDVI that spans over two decades (1981-present). The GIMMS NDVI is derived from measurements made by the Advanced Very High Resolution Radiometer (AVHRR), Global Area Coverage (GAC) data from the National Atmospheric Oceanic Administration (NOAA) polar orbiting series of satellites. GIMMS has inter-calibrated the data from the NOAA-AVHRR satellite series and performed atmospheric correction to minimize the effects of volcanic aerosols to produce and maintain a consistent NDVI archive. The NDVI archive from GIMMS provides the historic database for monitoring the response of vegetation to climatic conditions.Linking the MODIS data to the long-term GIMMS AVHRR/NDVI, archive and SPOT Vegetation sensor data is a critical component of this project providing a consistent multi-source long-term data record for agricultural monitoring. This allows FAS analysts to compare current data with the spatial extent and severity of NDVI anomalies associated with heat stress, droughts and floods associated with crop failures. || ",
            "hits": 26
        },
        {
            "id": 10496,
            "url": "https://svs.gsfc.nasa.gov/10496/",
            "result_type": "Produced Video",
            "release_date": "2009-10-07T09:00:00-04:00",
            "title": "Science for a Hungry World: Land Cover Land Use Change",
            "description": "NASA remote sensing data is used to measure how much land is used for agriculture and where farms are in relation to population density. This episode explore the transition between native vegetation, farms, and cities. Satellites show where land use changes have been most significant.For complete transcript, click here. || 320x190.10127_print.jpg (1024x576) [132.1 KB] || 80x40_thumbnail.jpg (80x40) [5.6 KB] || 160x80_gallery_thumbnail.jpg (160x80) [16.8 KB] || 320x190_web_thumbnail.jpg (320x239) [73.7 KB] || 320x190_web_thumbnail_searchweb.jpg (320x180) [121.2 KB] || LCLUC_1280x720_AppleTV.webmhd.webm (960x540) [59.0 MB] || LCLUC_1280x720_AppleTV.m4v (960x540) [157.9 MB] || LCLUC_1280x720_H264.mov (1280x720) [178.8 MB] || LCLUC_640x480_ipod.m4v (640x360) [50.4 MB] || LCLUC_320x240_ipod.mp4 (320x180) [18.5 MB] || Ag_LCLUC_Ep3_FullRes.mov (1280x720) [4.2 GB] || bigmovie-agriculture_part3_video.hwshow || ",
            "hits": 45
        },
        {
            "id": 3649,
            "url": "https://svs.gsfc.nasa.gov/3649/",
            "result_type": "Visualization",
            "release_date": "2009-10-06T12:00:00-04:00",
            "title": "Food Consumers versus Food Producers",
            "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. || ",
            "hits": 10
        },
        {
            "id": 3650,
            "url": "https://svs.gsfc.nasa.gov/3650/",
            "result_type": "Visualization",
            "release_date": "2009-10-06T12:00:00-04:00",
            "title": "Food Insecure Countries",
            "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. Food security in 70 developing countries is projected to deteriorate over the next decade, according to USDA's Economic Research Service. After rising nearly 11 percent from 2007 to 2008, the number of food-insecure people in the developing countries analyzed by ERS researchers is estimated to rise to 833 million in 2009, an almost 2-percent rise from 2008 to 2009. Despite a decline in food prices in late 2008, deteriorating purchasing power and food security are expected in 2009 because of the growing financial deficits and higher inflation that have occurred in recent years. Food-insecure people are defined as those consuming less than the nutritional target of 2,100 calories per day per person. || ",
            "hits": 13
        },
        {
            "id": 3629,
            "url": "https://svs.gsfc.nasa.gov/3629/",
            "result_type": "Visualization",
            "release_date": "2009-10-05T12:00:00-04:00",
            "title": "Crop Intensity",
            "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events.To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it is important to understand the spatial distribution of croplands. To do this a global croplands mask to identify all sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands vary from year to year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop cover. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will have higher confidence values in the crop mask as compared to less intensively farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. || ",
            "hits": 45
        },
        {
            "id": 3646,
            "url": "https://svs.gsfc.nasa.gov/3646/",
            "result_type": "Visualization",
            "release_date": "2009-10-05T12:00:00-04:00",
            "title": "2009 Crop Intensity, 2009 Producers, and 2050 Projected Population",
            "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events.To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it is important to understand the spatial distribution of croplands. To do this a global croplands mask to identify all sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands vary from year to year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop cover. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will have higher confidence values in the crop mask as compared to less intensively farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. || ",
            "hits": 14
        },
        {
            "id": 10491,
            "url": "https://svs.gsfc.nasa.gov/10491/",
            "result_type": "Produced Video",
            "release_date": "2009-09-30T00:00:00-04:00",
            "title": "Science For a Hungry World: NASA's Partners",
            "description": "Every day, NASA collects information vital to food production all over the world. This information is a valuable asset.  NASA's mission: to give it away for free. With the data they collect, teams of NASA researchers and their partners at the USDA Foreign Agriculture Service, USAID Famine Early Warning Network (FEWS NET), NOAA, and several major universities including the University of Maryland, work to increase crop yields, ease famine, and keep the global agricultural system functioning.For complete transcript, click here. || ag_ep_2_H.264_iPod_320x240.01192_print.jpg (1024x576) [85.5 KB] || ag_ep_2_H.264_iPod_320x240_web.png (320x180) [108.6 KB] || ag_ep_2_H.264_iPod_320x240_thm.png (80x40) [12.4 KB] || Ag_Ep_2_full_res-H.264_for_Apple_TV.webmhd.webm (960x540) [65.1 MB] || ag_ep_2_draft_5-Ag_ep2_Partners_09-25-09_1804_copy-720_H.264_QT_for_16x9_Youtube.mov (1280x720) [69.5 MB] || Ag_Ep_2_full_res-H.264_for_Apple_TV.m4v (960x540) [166.6 MB] || ag_ep_2_draft_5-Ag_ep2_Partners_09-25-09_1804_copy-H.264_for_iPod_video_and_iPhone_640x480.m4v (640x360) [56.2 MB] || GSFC_20090930_ag_ep_2_m10491.en_US.srt [11.6 KB] || GSFC_20090930_ag_ep_2_m10491.en_US.vtt [11.2 KB] || ag_ep_2_H.264_iPod_320x240.m4v (320x180) [20.7 MB] || Ag_Ep_2_full_res.wmv (320x236) [43.4 MB] || bigmovie-agriculture_part2_video.hwshow || ",
            "hits": 21
        },
        {
            "id": 10490,
            "url": "https://svs.gsfc.nasa.gov/10490/",
            "result_type": "Produced Video",
            "release_date": "2009-09-22T23:00:00-04:00",
            "title": "Science For a Hungry World: Introduction",
            "description": "As the first of six episodes, Science for a Hungry World: Part 1 sets the groundwork for explaining why NASA data is critical to ensure a stable global food system. This video reveals how satellite remote sensing data provide the world with essential information like the Normalized Difference Vegetation Index, or NDVI, which allows scientists and governments to see the health of crops on a global scale. This video reinforces the idea that a unique perspective from space is essential for continuous global agricultural monitoring and accurate forecasting.For complete transcript, click here. || Science_for_a_Hungry_World_Part_1_320x240.01627_print.jpg (1024x576) [111.9 KB] || Science_for_a_Hungry_World_Part_1_320x240_thm.png (80x40) [17.4 KB] || Science_for_a_Hungry_World_Part_1_320x240_web.png (180x320) [152.7 KB] || Science_for_a_Hungry_World_Part_1_AppleTV.webmhd.webm (960x540) [68.9 MB] || Science_for_a_Hungry_World_Part_1_AppleTV.m4v (960x540) [174.3 MB] || Science_for_a_Hungry_World_Part_1_H264_1280x720.mov (1280x720) [194.6 MB] || Science_for_a_Hungry_World_Part_1_640x480_ipod.m4v (640x360) [57.4 MB] || Science_for_a_Hungry_World_Part_1_for_Rob.m4v (640x360) [39.4 MB] || Science_for_a_Hungry_World_Part_1_320x240.mp4 (320x180) [22.5 MB] || Science_for_a_Hungry_World_Part_1.wmv (320x236) [37.8 MB] || bigmovie-science_for_a_hungry_world_1-introduction.hwshow || ",
            "hits": 31
        },
        {
            "id": 10484,
            "url": "https://svs.gsfc.nasa.gov/10484/",
            "result_type": "Produced Video",
            "release_date": "2009-09-14T00:00:00-04:00",
            "title": "Landsat: A Space Age Water Gauge",
            "description": "Agriculture consumes a great deal of water. As demand for water increases, the pressure's on to make sure every drop counts. || ",
            "hits": 25
        },
        {
            "id": 3625,
            "url": "https://svs.gsfc.nasa.gov/3625/",
            "result_type": "Visualization",
            "release_date": "2009-08-26T00:00:00-04:00",
            "title": "Honey Bees Weigh In on Climate",
            "description": "This animation illustrates the relationship between the annual vegetation cycle and seasonal variations in the weights of honey bee hives. The weight of a hive increases in the spring as bees bring back nectar from flowering plants. The change in hive weight over time can be compared with satellite measurements of vegetation. Tracking a large number of hives this way can reveal the effects of changing climate and land use on the interaction of plants and pollinators. Data from this hive in Highland, Maryland and others suggests that for some locations in the U.S., spring is arriving earlier by as much as half a day per year, probably due to a combination of climate and the warming effect of urbanization.This animation has been incorporated into the video \"Feeling the Sting of Climate Change,\" which provides more background and introduces HoneyBeeNet, a central repository for hive weight data from across the U.S. || ",
            "hits": 52
        },
        {
            "id": 10481,
            "url": "https://svs.gsfc.nasa.gov/10481/",
            "result_type": "Produced Video",
            "release_date": "2009-08-25T00:00:00-04:00",
            "title": "Feeling the Sting of Climate Change",
            "description": "NASA research scientist Wayne Esaias uses honey bees as tiny data collectors to understand how climate change is affecting pollination. His citizen-scientist project, HoneyBeeNet, compares bee data from across North America to satellite imagery in order to gain a big-picture perspective of how our warming climate is affecting both plants and pollinators. || ",
            "hits": 41
        },
        {
            "id": 10482,
            "url": "https://svs.gsfc.nasa.gov/10482/",
            "result_type": "Produced Video",
            "release_date": "2009-08-20T00:00:00-04:00",
            "title": "Honey Bees and Climate Change Animations",
            "description": "Flowering plants rely on pollinators like honey bees to reproduce. Honey bees, in turn, rely on flowering plants for food - in the form on nectar and pollen. The two animations below illustrate how an earlier springtime could cause plants and pollinators to shift out of sync. To see the video \"Feeling the Sting of Climate Change\" that these animations were created for, visit entry #10481 || ",
            "hits": 99
        }
    ]
}