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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). || ",
            "hits": 265
        },
        {
            "id": 14894,
            "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 || ",
            "hits": 53
        },
        {
            "id": 14854,
            "url": "https://svs.gsfc.nasa.gov/14854/",
            "result_type": "Produced Video",
            "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] || ",
            "hits": 309
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        {
            "id": 14789,
            "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] || ",
            "hits": 52
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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": 75
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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": 81
        },
        {
            "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": 66
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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": 231
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        {
            "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": 115
        },
        {
            "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": 322
        },
        {
            "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": 83
        },
        {
            "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": 876
        },
        {
            "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": 133
        },
        {
            "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": 326
        },
        {
            "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": 147
        },
        {
            "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": 126
        },
        {
            "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": 33
        },
        {
            "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": 25
        },
        {
            "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": 221
        },
        {
            "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": 75
        },
        {
            "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": 35
        },
        {
            "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": 44
        },
        {
            "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": 49
        },
        {
            "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": 62
        },
        {
            "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": 55
        },
        {
            "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": 103
        },
        {
            "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": 73
        },
        {
            "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": 89
        },
        {
            "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": 40
        },
        {
            "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": 48
        },
        {
            "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": 159
        },
        {
            "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": 178
        },
        {
            "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": 20
        },
        {
            "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": 64
        },
        {
            "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": 22
        },
        {
            "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": 49
        },
        {
            "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": 67
        },
        {
            "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": 123
        },
        {
            "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": 25
        },
        {
            "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": 54
        },
        {
            "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": 57
        },
        {
            "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": 117
        },
        {
            "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": 24
        },
        {
            "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": 17
        },
        {
            "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": 71
        },
        {
            "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": 35
        },
        {
            "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": 24
        },
        {
            "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": 64
        },
        {
            "id": 3637,
            "url": "https://svs.gsfc.nasa.gov/3637/",
            "result_type": "Visualization",
            "release_date": "2009-10-05T12:00:00-04:00",
            "title": "Deforestation of Rondonia, Brazil from 1975 to 2009",
            "description": "In the 1970s, Brazil's Program of National Integration built roads across the Amazon and settled land along these roads with colonists. These roads were catalysts of land use change in the Amazon.Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primary producer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen.Data taken in 1975 and 2009 from the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. || ",
            "hits": 149
        },
        {
            "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": 30
        },
        {
            "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": 43
        },
        {
            "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": 99
        },
        {
            "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": 44
        },
        {
            "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": 116
        },
        {
            "id": 10386,
            "url": "https://svs.gsfc.nasa.gov/10386/",
            "result_type": "Produced Video",
            "release_date": "2009-02-19T00:00:00-05:00",
            "title": "Sources of Aerosols",
            "description": "Aerosols can occur in nature, but they can also originate from human activity. These animations provide an introduction to four of the varied sources of atmospheric aerosols: cities, forest fires, the ocean, and deserts. || ",
            "hits": 55
        },
        {
            "id": 3282,
            "url": "https://svs.gsfc.nasa.gov/3282/",
            "result_type": "Visualization",
            "release_date": "2005-10-21T00:00:00-04:00",
            "title": "Hurricane Wilma — SSTs and Clouds",
            "description": "This visualization shows sea surface temperatures and clouds for Hurricane Wilma. The data is from October 15 through 20, 2005. The colors on the ocean represent the sea surface temperatures, and satellite images of the hurricane clouds are laid over the temperatures to clearly show the hurricane positions. Orange and red depict regions that are 82 degrees F and higher, where the ocean is warm enough for hurricanes to form. Hurricane winds are sustained by the heat energy of the ocean, so the ocean is cooled as the hurricane passes and the energy is extracted to power the winds. The sea surface temperatures are 3-day moving averages based on the AMSR-E instrument on the Aqua satellite, while the cloud images were taken by the Imager on the GOES-12 satellite. || ",
            "hits": 41
        },
        {
            "id": 3279,
            "url": "https://svs.gsfc.nasa.gov/3279/",
            "result_type": "Visualization",
            "release_date": "2005-10-17T00:00:00-04:00",
            "title": "Named Storms from the 2005 Atlantic Hurricane Season  (Wide Shot)",
            "description": "An updated version of this visualization is available. Please see animation identification number 3354.This visualization shows sea surface temperatures during most of the 2005 hurricane season. Overlaid are infrared cloud data, storm track data, and storm name labels. Ocean temperatures are the fuel that drive hurricanes. Notice the correspondence between the storm tracks and the sea surface temperature response; this is particulary noticeable for hurricanes Dennis, Emily, and Katrina. This versions shows a wide view of the Gulf of Mexico and Western Atlantic Ocean.This visualization includes all of the named storms from Arlene though Wilma; however, Vince is not within the camera's view since it was in the Portugal/Spain region. Wilma tied the record for the most named Atlantic tropical storms in recorded history; and, the list of seleced names for this season is exhausted. Other storms that have formed after Wilma, have been named after the Greek alphabet. || ",
            "hits": 191
        },
        {
            "id": 3226,
            "url": "https://svs.gsfc.nasa.gov/3226/",
            "result_type": "Visualization",
            "release_date": "2005-09-09T00:00:00-04:00",
            "title": "Sea Surface Temperature, Clouds, and Tropical Depression/Storm/Hurricane Tracks from June 1, 2005 to August 29, 2005",
            "description": "This visualization shows sea surface temperatures during the early part of the 2005 hurricane season. Overlaid are infrared cloud data and storm track data. Ocean temperatures are the fuel that drive hurricanes. Notice the correspondence between the storm tracks and the sea surface temperature response; this is particulary noticeable for hurricanes Dennis, Emily, and Katrina. || ",
            "hits": 30
        },
        {
            "id": 3113,
            "url": "https://svs.gsfc.nasa.gov/3113/",
            "result_type": "Visualization",
            "release_date": "2005-02-17T12:00:00-05:00",
            "title": "Rondonia Deforestation (WMS)",
            "description": "A animation of deforestation in Rondonia from 1975 through 2001 from Landsat imageryThis product is available through our Web Map Service. || rondonia.0002.png (1024x1024) [1.7 MB] || hw_a003113.png (640x27) [13.4 KB] || rondonia_pre.jpg (320x160) [12.1 KB] || rondonia_thm.png (80x40) [6.1 KB] || rondonia_pre_searchweb.jpg (320x180) [21.6 KB] || 1024x1024 (1024x1024) [0 Item(s)] || rondonia.webmhd.webm (960x540) [282.8 KB] || rondonia.mp4 (720x720) [606.2 KB] || rondonia.mpg (320x320) [737.0 KB] || ",
            "hits": 38
        },
        {
            "id": 3112,
            "url": "https://svs.gsfc.nasa.gov/3112/",
            "result_type": "Visualization",
            "release_date": "2005-02-15T12:00:00-05:00",
            "title": "Aral Sea Evaporation (WMS)",
            "description": "The Aral Sea is actually not a sea at all, but an immense fresh water lake. In the last thirty years, more than sixty percent of the lake has disappeared because much of the river flow feeding the lake was diverted to irrigate cotton fields and rice paddies. Concentrations of salts and minerals began to rise in the shrinking body of water, leading to staggering alterations in the lake's ecology and precipitous drops in the Aral's fish population. Powerful winds that blow across this part of Asia routinely pick up and deposit the now exposed lake bed soil. This has contributed to a significant reduction in breathable air quality, and crop yields have been appreciably affected due to heavily salt laden particles falling on arable land. This series of Landsat images taken in 1973, 1987 and 2000 show the profound reduction in overall area at the north end of the Aral, and a commensurate increase in land area as the floor of the sea now lies exposed. || ",
            "hits": 60
        },
        {
            "id": 2625,
            "url": "https://svs.gsfc.nasa.gov/2625/",
            "result_type": "Visualization",
            "release_date": "2002-10-15T12:00:00-04:00",
            "title": "Global Sea Surface Temperature with Land Vegetation",
            "description": "Visualization of global surface temperature. || Sea surface temperature with land vegetation || SeaSurTemp_Veg_0594.jpg (4096x2048) [2.0 MB] || SeaSurTemp_Veg_0594_web.jpg (320x160) [17.4 KB] || SeaSurTemp_Veg_0594_thm.png (80x40) [5.7 KB] || SeaSurTemp_Veg_0594_web_searchweb.jpg (320x180) [20.9 KB] || SeaSurTemp_Veg_0594.tif (4096x2048) [6.6 MB] || ",
            "hits": 43
        },
        {
            "id": 2405,
            "url": "https://svs.gsfc.nasa.gov/2405/",
            "result_type": "Visualization",
            "release_date": "2002-03-14T12:00:00-05:00",
            "title": "Mapping the Amazon: Mosaic tiles animation",
            "description": "A satellite can cover the Amazon in just two months.  The mapping team chose a Japanese satellite outfitted with synthetic aperture radar, or SAR for short. SAR is a natural fit for the Amazon. It can penetrate the clouds that pour rain for half of the year and the smoke from trees burned by farmers to clear land. SAR even works at night. As you might imagine, the satellite collects a pile of data. In raw form, these observations are gibberish. Focusing them requires a supercomputer to crunch fifteen hundred trillion calculations. The output is rich images of the Amazon.  Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || ",
            "hits": 18
        },
        {
            "id": 2406,
            "url": "https://svs.gsfc.nasa.gov/2406/",
            "result_type": "Visualization",
            "release_date": "2002-03-14T12:00:00-05:00",
            "title": "Mapping the Amazon: Mosaic Pan",
            "description": "Pan across Amazon rainforest mosaic showing low water season (blue) and high water season (yellow). Together, these snapshots reveal conditions on the ground. Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || ",
            "hits": 10
        },
        {
            "id": 2407,
            "url": "https://svs.gsfc.nasa.gov/2407/",
            "result_type": "Visualization",
            "release_date": "2002-03-14T12:00:00-05:00",
            "title": "Mapping the Amazon: The Mouth of the Amazon",
            "description": "The Amazon rain forest is the largest tropical forest in the world. It stretches across South America from nearly ocean to ocean. No seasonal view of this territory existed until a NASA-university collaboration began mapping the Amazon - from space.  Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || ",
            "hits": 81
        },
        {
            "id": 2408,
            "url": "https://svs.gsfc.nasa.gov/2408/",
            "result_type": "Visualization",
            "release_date": "2002-03-14T12:00:00-05:00",
            "title": "Mapping the Amazon: Manaus",
            "description": "The largest city along the Amazon River is Manaus.NASA's mosaic says that thirty percent of the surrounding area is wetlands.  Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || Mosaic zoom to Manaus || a002408.00010_print.png (720x480) [460.6 KB] || a002408_pre.jpg (320x238) [8.6 KB] || a002408.webmhd.webm (960x540) [1.7 MB] || a002408.dv (720x480) [26.1 MB] || a002408.mp4 (640x480) [1.4 MB] || a002408.mpg (352x240) [625.0 KB] || ",
            "hits": 26
        },
        {
            "id": 2409,
            "url": "https://svs.gsfc.nasa.gov/2409/",
            "result_type": "Visualization",
            "release_date": "2002-03-14T12:00:00-05:00",
            "title": "Mapping the Amazon: Deforestation",
            "description": "One feature that appears in this mosaic of images showing the Amazon River is tree-clearing that happened between two seasons. Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || Viewing two seperate seasons of tree clearing || a002409.00065_print.png (720x480) [462.2 KB] || a002409_pre.jpg (320x238) [8.7 KB] || a002409.webmhd.webm (960x540) [1.6 MB] || a002409.dv (720x480) [24.5 MB] || a002409.mp4 (640x480) [1.3 MB] || a002409.mpg (352x240) [586.0 KB] || ",
            "hits": 16
        },
        {
            "id": 2315,
            "url": "https://svs.gsfc.nasa.gov/2315/",
            "result_type": "Visualization",
            "release_date": "2001-12-20T12:00:00-05:00",
            "title": "Leaf Area Index for Africa September, 2000, through May, 2001",
            "description": "MODIS' observations also allow scientists to track two 'vital signs' of Earth's vegetation. At Boston University, a team of researchers is using MODIS data to create global estimates of the green leaf area of Earth's vegetation and how much sunlight the leaves are absorbing. Called LAI, for 'Leaf Area Index,' and FPAR, for 'Fraction of absorbed Photosynthetically Active Radiation,' both pieces of information are necessary for understanding how sunlight interacts with the Earth's vegetated surfaces-from the top layer, called the canopy, through the understory vegetation, and down to the ground. || ",
            "hits": 16
        },
        {
            "id": 2316,
            "url": "https://svs.gsfc.nasa.gov/2316/",
            "result_type": "Visualization",
            "release_date": "2001-12-20T12:00:00-05:00",
            "title": "Fraction of Photosynthetically Active Radiation for Africa September, 2000, through May, 2001",
            "description": "MODIS' observations also allow scientists to track two 'vital signs' of Earth's vegetation. At Boston University, a team of researchers is using MODIS data to create global estimates of the green leaf area of Earth's vegetation and how much sunlight the leaves are absorbing. Called LAI, for 'Leaf Area Index,' and FPAR, for 'Fraction of absorbed Photosynthetically Active Radiation,' both pieces of information are necessary for understanding how sunlight interacts with the Earth's vegetated surfaces-from the top layer, called the canopy, through the understory vegetation, and down to the ground. || ",
            "hits": 11
        },
        {
            "id": 2317,
            "url": "https://svs.gsfc.nasa.gov/2317/",
            "result_type": "Visualization",
            "release_date": "2001-12-20T12:00:00-05:00",
            "title": "Global EVI from Spring to Winter",
            "description": "Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS  measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI).  The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil.  The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. || ",
            "hits": 34
        },
        {
            "id": 2318,
            "url": "https://svs.gsfc.nasa.gov/2318/",
            "result_type": "Visualization",
            "release_date": "2001-12-20T12:00:00-05:00",
            "title": "United States EVI from Summer 2000 to Spring 2001",
            "description": "Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. || ",
            "hits": 16
        },
        {
            "id": 2280,
            "url": "https://svs.gsfc.nasa.gov/2280/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Europe",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.  These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard on NASA's Terra satellite.  The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data.  Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week.  Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands.  Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps.  The data product is available at http://edcdaac.nasa.gov. || ",
            "hits": 21
        },
        {
            "id": 2281,
            "url": "https://svs.gsfc.nasa.gov/2281/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of South America",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 33
        },
        {
            "id": 2282,
            "url": "https://svs.gsfc.nasa.gov/2282/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Asia",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. The data product is available at http://edcdaac.nasa.gov. || ",
            "hits": 60
        },
        {
            "id": 2283,
            "url": "https://svs.gsfc.nasa.gov/2283/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Australia",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 28
        },
        {
            "id": 2264,
            "url": "https://svs.gsfc.nasa.gov/2264/",
            "result_type": "Visualization",
            "release_date": "2001-09-26T12:00:00-04:00",
            "title": "Global MODIS Land Cover",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas. These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging -Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 100
        },
        {
            "id": 2265,
            "url": "https://svs.gsfc.nasa.gov/2265/",
            "result_type": "Visualization",
            "release_date": "2001-09-26T12:00:00-04:00",
            "title": "North America and Central America MODIS Land Cover",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas. These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging -Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 48
        },
        {
            "id": 2266,
            "url": "https://svs.gsfc.nasa.gov/2266/",
            "result_type": "Visualization",
            "release_date": "2001-09-26T12:00:00-04:00",
            "title": "MODIS Land Cover of Africa",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use.  These new maps, based on a global digital database of land cover types that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget, through closer monitoring of water and land resources, including forested and agricultural areas. These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging -Spectroradiometer (MODIS) instrument aboard on NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000, but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date.  They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was previously possible, reducing the time to generate maps from months or years to about one week.Each MODIS land cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 62
        },
        {
            "id": 2105,
            "url": "https://svs.gsfc.nasa.gov/2105/",
            "result_type": "Visualization",
            "release_date": "2001-04-19T12:00:00-04:00",
            "title": "Dramatic Evaporation of the Aral Sea",
            "description": "Disappearing Water: The Aral Sea Over Time (From 1973 to 2001) A time series is a powerful illustrative tool. Where in the case of Las Vegas we see the direct effects of people on the land, in the case of the Aral Sea, separating the countries of Kazakhstan and Uzbekistan, we see indirect, but no less dramatic effects on a different part of the world. The Aral Sea is actually not a sea at all. It is an immense lake, a body of fresh water, although that particular description of its contents might now be more a figure of speech than practical fact. In the last thirty years, more than sixty percent of the lake has disappeared. As you'll see in the visualization, the change over time is dramatic. In the 1970s, farmers and state offices opened significant diversions from the rivers supplying water to the lake, sending millions of gallons to irrigate cotton fields and rice paddies. So voluminous were these irrigation sluices that concentrations of salts and minerals began to rise in the shrinking body of water. That change in chemistry has led to staggering alterations in the lake's ecology, causing precipitous drops in the Aral's fish population. A secondary effect of this reduction in the Aral Sea's overall size is the rapid exposure of the lake bed. Powerful winds that blow across this part of Asia routinely pick up and deposit tens of thousands of tons of now exposed soil every year. This has not only contributed to significant reduction in breathable air quality for nearby residents, but also appreciably affected crop yields due to those heavily salt laden particles falling on arable land. In the following sequence of images, we see a series of Landsat scenes taken several years apart. As the years pass, we see the profound reduction in overall area covered by the Aral, and a commensurate increase in land area as the floor of the sea now lies exposed. || ",
            "hits": 184
        },
        {
            "id": 2106,
            "url": "https://svs.gsfc.nasa.gov/2106/",
            "result_type": "Visualization",
            "release_date": "2001-04-19T12:00:00-04:00",
            "title": "Deforestation of Rondonia, Brazil, from 1975 to 2001",
            "description": "Throughout much of the 1980s, deforestation in Brazil eliminated more than 15,000 square kilometers (9000 square miles) per year. That pace has only increased through the 90s and into the 21st century.Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primaryproducer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen.It is for these and a host of other reasons why scientists and policy makers need to monitor and forestall wholesale deforestation.This sequence shows how profligate clear cutting can influence that trust. Data gathered over time by several in the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. This territory underwent an enormous rise in population towards the end of the twentieth century, buoyed by cheap land offered by the national government for agricultural use. As you see the visualization progress, it is useful to note how the human phenomenon of deforestation generally works, especially in the dense tropical forests of Brazil. Systematic cutting of a road opens new territory to potential deforestation by penetrating into new areas. Clearing of vegetation along the sides of those roads tends to fan out to create a pattern akin to a fish skeleton. As new paths appear in the woods, new areas become vulnerable. The spaces between the 'skeletal bones' fall to defoliation, and another inch of the Earth's biological rudder is no longer reliably steering the planet into the future. || ",
            "hits": 69
        },
        {
            "id": 2116,
            "url": "https://svs.gsfc.nasa.gov/2116/",
            "result_type": "Visualization",
            "release_date": "2001-04-19T12:00:00-04:00",
            "title": "Deforestation of Rondonia, Brazil (with dates), from 1975 to 2001",
            "description": "Throughout much of the 1980s, deforestation in Brazil eliminated more than 15,000 square kilometers (9000 square miles) per year. That pace has only increased through the 90s and into the 21st century.Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primaryproducer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen.It is for these and a host of other reasons why scientists and policy makers need to monitor and forestall wholesale deforestation.This sequence shows how profligate clear cutting can influence that trust. Data gathered over time by several in the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. This territory underwent an enormous rise in population towards the end of the twentieth century, buoyed by cheap land offered by the national government for agricultural use. As you see the visualization progress, it is useful to note how the human phenomenon of deforestation generally works, especially in the dense tropical forests of Brazil. Systematic cutting of a road opens new territory to potential deforestation by penetrating into new areas. Clearing of vegetation along the sides of those roads tends to fan out to create a pattern akin to a fish skeleton. As new paths appear in the woods, new areas become vulnerable. The spaces between the 'skeletal bones' fall to defoliation, and another inch of the Earth's biological rudder is no longer reliably steering the planet into the future. || ",
            "hits": 138
        },
        {
            "id": 2117,
            "url": "https://svs.gsfc.nasa.gov/2117/",
            "result_type": "Visualization",
            "release_date": "2001-04-19T12:00:00-04:00",
            "title": "Dramatic Evaporation of the Aral Sea (With Dates)",
            "description": "Disappearing Water: The Aral Sea Over Time (From 1973 to 2001) A time series is a powerful illustrative tool. Where in the case of Las Vegas we see the direct effects of people on the land, in the case of the Aral Sea, separating the countries of Kazakhstan and Uzbekistan, we see indirect, but no less dramatic effects on a different part of the world. The Aral Sea is actually not a sea at all. It is an immense lake, a body of fresh water, although that particular description of its contents might now be more a figure of speech than practical fact. In the last thirty years, more than sixty percent of the lake has disappeared. As you'll see in the visualization, the change over time is dramatic. In the 1970s, farmers and state offices opened significant diversions from the rivers supplying water to the lake, sending millions of gallons to irrigate cotton fields and rice paddies. So voluminous were these irrigation sluices that concentrations of salts and minerals began to rise in the shrinking body of water. That change in chemistry has led to staggering alterations in the lake's ecology, causing precipitous drops in the Aral's fish population. A secondary effect of this reduction in the Aral Sea's overall size is the rapid exposure of the lake bed. Powerful winds that blow across this part of Asia routinely pick up and deposit tens of thousands of tons of now exposed soil every year. This has not only contributed to significant reduction in breathable air quality for nearby residents, but also appreciably affected crop yields due to those heavily salt laden particles falling on arable land. In the following sequence of images, we see a series of Landsat scenes taken several years apart. As the years pass, we see the profound reduction in overall area covered by the Aral, and a commensurate increase in land area as the floor of the sea now lies exposed. || ",
            "hits": 142
        },
        {
            "id": 2064,
            "url": "https://svs.gsfc.nasa.gov/2064/",
            "result_type": "Visualization",
            "release_date": "2001-02-26T12:00:00-05:00",
            "title": "Lake Chad Evaporation 1963 to 1997",
            "description": "Located on the edge of the Sahara and bordering four countries—Chad, Cameroon, Nigeria, and Niger—the immense area of this land locked lake has nearly disappeared in recent years. Persistent drought has caused the lake to drop from its former sixth place position in the list of world's largest lakes; it is now one tenth its former size.The basin of the lake is not naturally deep, so the surface area of the lake tended to spread out, keeping the total depth to little more 23 feet (7 meters). In recent years, rainfall patterns have begun to change, and tributaries to Lake Chad have not been refilling the basin as rapidly as they used to. The lush, productive flora and fauna fed by the wetlands of the shallow lake have suffered as a result.This has led to significant changes for various communities of people that live in the vicinity of the Lake. While for some the now exposed lake bed has enabled new land to be cultivated, much of the available fresh water that might have been used for irrigation is no longer dependable. As rainfall rates appear to be declining year after year, people living nearby develop even greater dependence on the lake, draining it even faster. || ",
            "hits": 71
        },
        {
            "id": 2065,
            "url": "https://svs.gsfc.nasa.gov/2065/",
            "result_type": "Visualization",
            "release_date": "2001-02-26T12:00:00-05:00",
            "title": "Lake Chad Evaporation 1973 to 1987",
            "description": "Located on the edge of the Sahara and bordering four countries—Chad, Cameroon, Nigeria, and Niger—the immense area of this land locked lake has nearly disappeared in recent years. Persistent drought has caused the lake to drop from its former sixth place position in the list of world's largest lakes; it is now one tenth its former size.The basin of the lake is not naturally deep, so the surface area of the lake tended to spread out, keeping the total depth to little more 23 feet (7 meters). In recent years, rainfall patterns have begun to change, and tributaries to Lake Chad have not been refilling the basin as rapidly as they used to. The lush, productive flora and fauna fed by the wetlands of the shallow lake have suffered as a result.This has led to significant changes for various communities of people that live in the vicinity of the Lake. While for some the now exposed lake bed has enabled new land to be cultivated, much of the available fresh water that might have been used for irrigation is no longer dependable. As rainfall rates appear to be declining year after year, people living nearby develop even greater dependence on the lake, draining it even faster. || ",
            "hits": 65
        },
        {
            "id": 2066,
            "url": "https://svs.gsfc.nasa.gov/2066/",
            "result_type": "Visualization",
            "release_date": "2001-02-26T12:00:00-05:00",
            "title": "Lake Chad 2001",
            "description": "Sweep of Lake Chad, February 2001.Located on the edge of the Sahara and bordering four countries—Chad, Cameroon, Nigeria, and Niger—the immense area of this land locked lake has nearly disappeared in recent years. Persistent drought has caused the lake to drop from its former sixth place position in the list of world's largest lakes; it is now one tenth its former size.The basin of the lake is not naturally deep, so the surface area of the lake tended to spread out, keeping the total depth to little more 23 feet (7 meters). In recent years, rainfall patterns have begun to change, and tributaries to Lake Chad have not been refilling the basin as rapidly as they used to. The lush, productive flora and fauna fed by the wetlands of the shallow lake have suffered as a result.This has led to significant changes for various communities of people that live in the vicinity of the Lake. While for some the now exposed lake bed has enabled new land to be cultivated, much of the available fresh water that might have been used for irrigation is no longer dependable. As rainfall rates appear to be declining year after year, people living nearby develop even greater dependence on the lake, draining it even faster. || ",
            "hits": 45
        },
        {
            "id": 1212,
            "url": "https://svs.gsfc.nasa.gov/1212/",
            "result_type": "Visualization",
            "release_date": "2000-06-14T12:00:00-04:00",
            "title": "North Carolina Outer Banks",
            "description": "Fly over North Carolina Outer Banks. || a001212.00010_print.png (720x480) [530.0 KB] || a001212_pre.jpg (320x242) [9.9 KB] || a001212_thm.png (80x40) [6.3 KB] || a001212_pre_searchweb.jpg (320x180) [62.4 KB] || a001212.webmhd.webm (960x540) [40.2 MB] || a001212.mp4 (640x480) [55.2 MB] || a001212.dv (720x480) [1.0 GB] || a001212.mpg (352x240) [19.0 MB] || ",
            "hits": 17
        },
        {
            "id": 1213,
            "url": "https://svs.gsfc.nasa.gov/1213/",
            "result_type": "Visualization",
            "release_date": "2000-06-14T12:00:00-04:00",
            "title": "Cape Cod",
            "description": "Zoom into and pan around Cape Cod, Massachusetts. || a001213.00010_print.png (720x480) [703.4 KB] || a001213_pre.jpg (320x242) [16.0 KB] || a001213_thm.png (80x40) [6.8 KB] || a001213_pre_searchweb.jpg (320x180) [91.1 KB] || a001213.webmhd.webm (960x540) [18.5 MB] || a001213.dv (720x480) [492.0 MB] || a001213.mp4 (640x480) [26.5 MB] || a001213.mpg (352x240) [19.7 MB] || Video slate image reads, \"Cape Cod\". || a001213_slate.jpg (720x528) [28.8 KB] || a001213_slate_web.png (320x234) [16.5 KB] || ",
            "hits": 11
        },
        {
            "id": 1068,
            "url": "https://svs.gsfc.nasa.gov/1068/",
            "result_type": "Visualization",
            "release_date": "2000-05-04T12:00:00-04:00",
            "title": "Sea Surface Temperature and Hurricane Connections: TRMM - August 22, 1998 Through September 3, 1998",
            "description": "For years scientists have known of the strong correlation between sea surface temperature and the intensity of hurricanes. But one of the major stumbling blocks for forecasters has been the precise measurement of those temperatures when a storm begins to form. Traditional techniques for sea surface temperature measurement can not see through clouds.Now researchers using the TRMM (Tropical Rainfall Measuring Mission) satellite have developed a technique for looking through clouds that is likely to enhance forecasters' abilities to predict hurricane intensity before their massive energies fully develop. A hurricane gathers energy from warm waters found in tropical latitudes.As Hurricane Bonnie crosses the Atlantic, it leaves a cooler trail of water in its wake. As Hurricane Danielle crosses Bonnie's path, the wind speed of the second storm drops markedly, as available energy to fuel the storm's engine drops off. As Danielle crosses Bonnie's wake, however, winds speeds increase due to temperature increases in surface water around the storm. || ",
            "hits": 58
        },
        {
            "id": 1056,
            "url": "https://svs.gsfc.nasa.gov/1056/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - True Color",
            "description": "Zoom into Shenzen, China.  True color (3,2,1) Landsat inset.  Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001056.00005_print.png (720x480) [713.6 KB] || a001056_pre.jpg (320x240) [28.2 KB] || a001056.webmhd.webm (960x540) [7.2 MB] || a001056.m2v (720x480) [22.0 MB] || a001056.dv (720x480) [102.8 MB] || a001056.mp4 (640x480) [5.6 MB] || a001056.mpg (352x240) [3.8 MB] || ",
            "hits": 25
        },
        {
            "id": 1057,
            "url": "https://svs.gsfc.nasa.gov/1057/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - True Color 1988 to 1996 (With Dates)",
            "description": "Zoom into Shenzhen, China.  True color (3,2,1) Landsat inset with dates.  Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001057.00005_print.png (720x480) [710.4 KB] || a001057_pre.jpg (320x240) [28.3 KB] || a001057.webmhd.webm (960x540) [7.7 MB] || a001057.dv (720x480) [102.8 MB] || a001057.mp4 (640x480) [5.5 MB] || a001057.mpg (352x240) [3.9 MB] || ",
            "hits": 33
        },
        {
            "id": 1058,
            "url": "https://svs.gsfc.nasa.gov/1058/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - True Color Fade 1988 to 1996",
            "description": "Zoom into Shenzhen, China. True color (3,2,1) Landsat inset with dates. Years 1988, 1996. || a001058.00005_print.png (720x480) [708.1 KB] || a001058_pre.jpg (320x240) [28.2 KB] || a001058.webmhd.webm (960x540) [4.6 MB] || a001058.dv (720x480) [65.0 MB] || a001058.mp4 (640x480) [3.4 MB] || a001058.mpg (352x240) [2.6 MB] || ",
            "hits": 19
        },
        {
            "id": 1059,
            "url": "https://svs.gsfc.nasa.gov/1059/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - True Color Fade 1988 to 1996 (With Dates)",
            "description": "Zoom into Shenzhen, China. True color (3,2,1) Landsat inset with dates. Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001059.00005_print.png (720x480) [709.4 KB] || a001059_pre.jpg (320x240) [28.3 KB] || a001059.webmhd.webm (960x540) [5.1 MB] || a001059.dv (720x480) [68.4 MB] || a001059.mp4 (640x480) [3.6 MB] || a001059.mpg (352x240) [2.5 MB] || ",
            "hits": 41
        },
        {
            "id": 1060,
            "url": "https://svs.gsfc.nasa.gov/1060/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - False Color 1988 to 1996",
            "description": "Zoom into Shenzhen, China. False color Landsat (4,3,2) inset. Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001060.00005_print.png (720x480) [714.6 KB] || a001060_pre.jpg (320x240) [34.7 KB] || a001060.webmhd.webm (960x540) [7.4 MB] || a001060.dv (720x480) [102.7 MB] || a001060.mp4 (640x480) [5.5 MB] || a001060.mpg (352x240) [3.4 MB] || ",
            "hits": 14
        },
        {
            "id": 1061,
            "url": "https://svs.gsfc.nasa.gov/1061/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - False Color 1988 to 1996 (With Dates)",
            "description": "Zoom into Shenzhen, China. False color Landsat (4,3,2) inset with dates. Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001061.00005_print.png (720x480) [719.9 KB] || a001061_pre.jpg (320x240) [34.7 KB] || a001061.webmhd.webm (960x540) [7.0 MB] || a001061.dv (720x480) [99.6 MB] || a001061.mp4 (640x480) [5.3 MB] || a001061.mpg (352x240) [3.8 MB] || ",
            "hits": 19
        },
        {
            "id": 1063,
            "url": "https://svs.gsfc.nasa.gov/1063/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - False Color Fade 1988 to 1996 (With Dates)",
            "description": "Zoom into Shenzhen, China. False color Landsat (4,3,2) inset with dates. Years 1988, 1996. || a001063.00005_print.png (720x480) [719.9 KB] || a001063_pre.jpg (320x240) [34.7 KB] || a001063.webmhd.webm (960x540) [5.0 MB] || a001063.dv (720x480) [68.6 MB] || a001063.mp4 (640x480) [3.7 MB] || a001063.mpg (352x240) [2.4 MB] || ",
            "hits": 12
        },
        {
            "id": 760,
            "url": "https://svs.gsfc.nasa.gov/760/",
            "result_type": "Visualization",
            "release_date": "1999-09-15T12:00:00-04:00",
            "title": "Maryland Drought: Zoom down to Liberty Reservoir Comparing July 1997 with July 1999 (with dates)",
            "description": "Zoom down to Liberty Reservoir comparing July, 1997 and July, 1999.  This animation shows Landsat's view of Maryland's Liberty Reservoir from its normal levels in July of 1997 to its extreme low levels during the drought of 1999. || ",
            "hits": 37
        },
        {
            "id": 761,
            "url": "https://svs.gsfc.nasa.gov/761/",
            "result_type": "Visualization",
            "release_date": "1999-09-15T12:00:00-04:00",
            "title": "Maryland Drought: Zoom down to Liberty Reservoir comparing July 1997 and July 1999 (without dates)",
            "description": "Zoom down to Liberty Reservoir comparing July, 1997 and July, 1999.  This animation shows Landsat's view of Maryland's Liberty Reservoir from its normal levels in July of 1997 to its extreme low levels during the drought of 1999. || ",
            "hits": 41
        },
        {
            "id": 762,
            "url": "https://svs.gsfc.nasa.gov/762/",
            "result_type": "Visualization",
            "release_date": "1999-09-15T12:00:00-04:00",
            "title": "Maryland Drought: Side-by-side Comparison of Liberty Reservoir in 1997 and 1999 (Without Dates)",
            "description": "A side-by-side image of Marylands Liberty Reservoir comparing July, 1997 and July, 1999, from Landsat imagery || a000762_still.jpg (720x528) [172.1 KB] || a000762_pre.jpg (320x238) [13.9 KB] || a000762_thm.png (80x40) [6.6 KB] || a000762_pre_searchweb.jpg (320x180) [89.5 KB] || ",
            "hits": 38
        }
    ]
}