{
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    "results": [
        {
            "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": 160
        },
        {
            "id": 31300,
            "url": "https://svs.gsfc.nasa.gov/31300/",
            "result_type": "Hyperwall Visual",
            "release_date": "2024-07-29T00:00:00-04:00",
            "title": "A Greenhouse Boom in China",
            "description": "Animated version of a story originally published at https://earthobservatory.nasa.gov/images/152874/a-greenhouse-boom-in-china || ",
            "hits": 55
        },
        {
            "id": 31297,
            "url": "https://svs.gsfc.nasa.gov/31297/",
            "result_type": "Hyperwall Visual",
            "release_date": "2024-07-17T00:00:00-04:00",
            "title": "Korean Peninsula imagery",
            "description": "Landsat imagery of the Korean peninsula updated from stories originally published on Earth Observatory. || ",
            "hits": 59
        },
        {
            "id": 14406,
            "url": "https://svs.gsfc.nasa.gov/14406/",
            "result_type": "Produced Video",
            "release_date": "2023-08-30T16:30:00-04:00",
            "title": "To Bennu and Back: Journey’s End",
            "description": "Ride along with OSIRIS-REx during the thrilling finale of its journey to Bennu and back.Complete transcript available.Universal Production Music: “A Sense of Urgency” and “Rise to the Challenge” by Daniel Marantz and Michael James Burns, Raydia Music library [PRS]; “Fragments of Time” by Timothy Robert Shortell, Scores of Hypersonic Music [BMI]Watch this video on the NASA Goddard YouTube channel. || OSIRIS-REx_Journeys_End_Preview_V3_print.jpg (1024x576) [115.9 KB] || OSIRIS-REx_Journeys_End_Preview_V3.png (3840x2160) [4.2 MB] || OSIRIS-REx_Journeys_End_Preview_V3.jpg (3840x2160) [821.1 KB] || OSIRIS-REx_Journeys_End_Preview_V3_searchweb.png (320x180) [70.4 KB] || OSIRIS-REx_Journeys_End_Preview_V3_thm.png (80x40) [6.4 KB] || 14406_OSIRIS-REx_Journeys_End_720.mp4 (1280x720) [58.7 MB] || 14406_OSIRIS-REx_Journeys_End_1080.mp4 (1920x1080) [328.5 MB] || BennuJourneysEnd_Captions.en_US.srt [5.3 KB] || BennuJourneysEnd_Captions.en_US.vtt [5.1 KB] || 14406_OSIRIS-REx_Journeys_End_V2.mp4 (3840x2160) [4.0 GB] || 14406_OSIRIS-REx_Journeys_End_4K.mp4 (3840x2160) [4.0 GB] || 14406_OSIRIS-REx_Journeys_End_ProRes.mov (3840x2160) [27.5 GB] || ",
            "hits": 98
        },
        {
            "id": 14257,
            "url": "https://svs.gsfc.nasa.gov/14257/",
            "result_type": "Produced Video",
            "release_date": "2022-12-14T12:00:00-05:00",
            "title": "Methane Emissions from Wetlands",
            "description": "Complete transcript available.Methane is an important greenhouse gas that contributes substantially to global warming. On a molecule by molecule basis, methane is much more efficient at trapping heat than carbon dioxide, the main driver of warming. Though human activities, including agriculture, oil and natural gas production and use, and waste disposal, collectively contribute the majority of methane to the atmosphere, about a third of total methane emissions comes from wetlands. Wetland habitats are filled with things like waterlogged soils and permafrost, which makes them sizable carbon sinks. However, as the climate changes, these carbon-rich soils are vulnerable to flooding and to rising temperatures, which can release more carbon to the atmosphere in the form of methane. Understanding methane emissions from natural sources like wetlands is critically important to scientists and policymakers who are working to ensure that changes in natural systems don’t counteract progress in combatting climate change made by reducing emissions from human activities.This animation shows estimates of wetland methane emissions produced by the Lund–Potsdam–Jena Dynamic Global Vegetation Model (LPJ-DGVM) Wald Schnee und Landscaft version (LPJ-wsl). LPJ-wsl is a prognostic model, meaning that it can be used to simulate future changes in wetland emissions and independently verified with remote sensing data products. The model includes a complex, topography dependent model of near surface hydrology, and a permafrost and dynamic snow model, allowing it to produce realistic distributions of inundated areas. Highlighted areas show concentrated methane sources from tropical and high latitude ecosystems. The LPJ-wsl model is regularly used in conjunction with NASA’s GEOS model to simulate the impact of wetlands and other methane sources on atmospheric methane concentrations, compare against satellite and airborne data, and to improve understanding and prediction of wetland emissions. Music credit: “Emerging Wave” from Universal Production Music || Screen_Shot_2022-12-09_at_1.10.12_PM_print.jpg (1024x571) [117.6 KB] || Screen_Shot_2022-12-09_at_1.10.12_PM.jpg (875x488) [108.8 KB] || Screen_Shot_2022-12-09_at_1.10.12_PM_searchweb.png (320x180) [57.3 KB] || Screen_Shot_2022-12-09_at_1.10.12_PM_web.png (320x178) [56.0 KB] || Screen_Shot_2022-12-09_at_1.10.12_PM_thm.png (80x40) [6.1 KB] || Methane.mp_Wetalnds_Final.mp4 (1920x1080) [74.1 MB] || Methane.mp_Wetalnds_Final.webm (1920x1080) [14.8 MB] || Sound_otter_ai.en_US.srt [2.5 KB] || Sound_otter_ai.en_US.vtt [2.5 KB] || ",
            "hits": 361
        },
        {
            "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": 61
        },
        {
            "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": 87
        },
        {
            "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": 28
        },
        {
            "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": 51
        },
        {
            "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": 46
        },
        {
            "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": 39
        },
        {
            "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": 30
        },
        {
            "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": 81
        },
        {
            "id": 13694,
            "url": "https://svs.gsfc.nasa.gov/13694/",
            "result_type": "Produced Video",
            "release_date": "2021-04-19T09:00:00-04:00",
            "title": "Tracking Amazon Deforestation",
            "description": "The Amazon is the largest tropical rainforest in the world, nearly as big as the continental United States. But every year, less of that forest is still standing. Today's deforestation across the Amazon frontier is tractors and bulldozers clearing large swaths to make room for industrial-scale cattle ranching and crops. Landsat satellite data is used to map land cover in Brazil with a historical perspective, going back to 1984.Music: Organic Circuit by Richard Birkin [PRS]; Into the Atmosphere by Sam Joseph Delves [PRS]; Ethereal Journey by Noé Bailleux [SACEM]; Wildfires by Magnum Opus [ASCAP]; Letter For Tomorrow by Anthony d’Amario [SACEM].Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || Amazon_clearing_poster.jpg (3840x2160) [2.4 MB] || Amazon_clearing_DSC_1491.jpg (6000x4000) [5.3 MB] || Amazon_clearing_poster_searchweb.png (320x180) [88.6 KB] || Amazon_clearing_poster_thm.png (80x40) [5.8 KB] || 13694_Amazon_deforestation_yt.mp4 (1920x1080) [417.9 MB] || 13694_Amazon_deforestation_tw.mp4 (1280x720) [89.4 MB] || 13694_Amazon_deforestation_yt.webm (1920x1080) [45.5 MB] || 13694_Amazon_deforestation-captions.en_US.srt [7.1 KB] || 13694_Amazon_deforestation-captions.en_US.vtt [6.9 KB] || ",
            "hits": 664
        },
        {
            "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": 53
        },
        {
            "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": 72
        },
        {
            "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": 55
        },
        {
            "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": 44
        },
        {
            "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": 88
        },
        {
            "id": 12991,
            "url": "https://svs.gsfc.nasa.gov/12991/",
            "result_type": "Produced Video",
            "release_date": "2018-07-10T14:00:00-04:00",
            "title": "NASA Surveys Hurricane Damage to Puerto Rico's Forests",
            "description": "Overview of field expedition to Puerto Rico in April 2018, to survey the recovery of forests since Hurricanes Irma and Maria hit the island seven months before.Complete transcript available.Music: Treehouse Imaginations by  Zachary Scott Lemon [BMI]Down Terrace by Damien Deschamps [SACEM]Reloj by Kevin Carbo [BMI]Living Forest by  Luca Proietti [SIAE]Watch this video on the NASA Goddard YouTube channel. || 12991-mangroves_and_plane_wing_IMG_0852.jpg (5184x3456) [1.3 MB] || 12991-mangroves_and_plane_wing_IMG_0852_searchweb.png (320x180) [84.2 KB] || 12991-mangroves_and_plane_wing_IMG_0852_thm.png (80x40) [6.2 KB] || 12991_Puerto_Rico_lidar_V2_prores.mov (1920x1080) [8.9 GB] || 12991_Puerto_Rico_lidar_V2_youtube_1080.mp4 (1920x1080) [558.3 MB] || 12991_Puerto_Rico_lidar_V2.mp4 (1920x1080) [328.9 MB] || 12991_Puerto_Rico_lidar_V2_large.mp4 (1920x1080) [343.8 MB] || 12991_Puerto_Rico_lidar_V2_youtube_720.mp4 (1280x720) [563.1 MB] || 12991_Puerto_Rico_lidar_twitter_720.mp4 (1280x720) [78.7 MB] || 12991_Puerto_Rico_lidar.webm (1920x1080) [39.1 MB] || 12991_Puerto_Rico_lidar-captions.en_US.srt [7.4 KB] || 12991_Puerto_Rico_lidar-captions.en_US.vtt [7.4 KB] || ",
            "hits": 50
        },
        {
            "id": 12982,
            "url": "https://svs.gsfc.nasa.gov/12982/",
            "result_type": "Produced Video",
            "release_date": "2018-06-12T11:00:00-04:00",
            "title": "Amazon Canopy Comes to Life through Laser Data",
            "description": "Flying over the Brazilian Amazon with an instrument firing 300,000 laser pulses per second, NASA scientists have made the first 3D measurements of forest canopies in the region. With this research they hope to shed light on the effects of prolonged drought on forest ecosystems and to provide a potential preview of stresses on rainforests in a warming world.Complete transcript available. || Amazon_lidar_2018_final.00150_print.jpg (1024x576) [36.8 KB] || Amazon_lidar_2018_final.00150_searchweb.png (180x320) [21.4 KB] || Amazon_lidar_2018_final.00150_web.png (320x180) [21.4 KB] || Amazon_lidar_2018_final.00150_thm.png (80x40) [2.0 KB] || Amazon_lidar_2018_prores.mov (1920x1280) [4.5 GB] || Amazon_lidar_2018_final.mp4 (1920x1080) [705.9 MB] || Amazon_lidar_2018_final.webm (1920x1080) [17.2 MB] || 12982.AmazonLidar2018.cc.en_US.vtt [2.5 KB] || 12982.AmazonLidar2018.cc.en_US.srt [2.4 KB] || ",
            "hits": 95
        },
        {
            "id": 12939,
            "url": "https://svs.gsfc.nasa.gov/12939/",
            "result_type": "Produced Video",
            "release_date": "2018-05-04T10:00:00-04:00",
            "title": "May the Forest Be with You: GEDI Moves Toward Launch To Space Station",
            "description": "Music: Navigating the Nebulae by Or Kribos and Udi HarpazComplete transcript available. || GEDI_Star_Wars_Day_UPDATED.00_00_29_17.Still002.png (1920x1080) [1.4 MB] || GEDI_Star_Wars_Day_UPDATED.00_00_29_17.Still002_print.jpg (1024x576) [99.9 KB] || GEDI_Star_Wars_Day_UPDATED.00_00_29_17.Still002_searchweb.png (320x180) [48.1 KB] || GEDI_Star_Wars_Day_UPDATED.00_00_29_17.Still002_thm.png (80x40) [5.0 KB] || FACEBOOK_720_GEDI_Star_Wars_Day_V9_facebook_720.mp4 (1280x720) [55.1 MB] || GEDI_Star_Wars_Day_V8.mp4 (1920x1080) [44.8 MB] || GEDI_Star_Wars_Day_V9.webm (960x540) [17.7 MB] || GEDI_Star_Wars_Day_V9_large.mp4 (1920x1080) [44.3 MB] || TWITTER_720_GEDI_Star_Wars_Day_V9_twitter_720.mp4 (1280x720) [9.9 MB] || YOUTUBE_1080_GEDI_Star_Wars_Day_V9_youtube_1080.mp4 (1920x1080) [72.4 MB] || YOUTUBE_720_GEDI_Star_Wars_Day_V9_youtube_720.mp4 (1280x720) [71.1 MB] || CH28_GEDI_Star_Wars_Day_V9_ch28.mov (1280x720) [416.8 MB] || GEDIStarWarsDaywotextonscreen.mov (1920x1080) [594.2 MB] || GEDI_Star_Wars_Day_Captions.en_US.srt [866 bytes] || GEDI_Star_Wars_Day_Captions.en_US.vtt [878 bytes] || GEDI_Star_Wars_Day_V9_lowres.mp4 (480x272) [6.1 MB] || ",
            "hits": 40
        },
        {
            "id": 12051,
            "url": "https://svs.gsfc.nasa.gov/12051/",
            "result_type": "Produced Video",
            "release_date": "2018-04-27T10:00:00-04:00",
            "title": "25 Years of Forest Dynamics",
            "description": "Annual maps of the lower-48 United States produced from Landsat data illustrate how forests changed from 1986-2010. Logging and hurricanes play a significant role in the Southeast, and fires and insect invasion damage forest canopy in the West.Complete transcript available.Music credit: Dusk On The Plains by B. BostonWatch this video on the NASA Goddard YouTube channel. || 12051_Forest_Dynamics_1280_print.jpg (1024x576) [102.9 KB] || 12051_Forest_Dynamics_1280_searchweb.png (320x180) [68.6 KB] || 12051_Forest_Dynamics_1280_thm.png (80x40) [5.2 KB] || 12051_Forest_Dynamics_1920_VX-280049_appletv.m4v (1280x720) [135.8 MB] || 12051_Forest_Dynamics_1920_VX-280049_appletv_subtitles.m4v (1280x720) [135.9 MB] || 12051_Forest_Dynamics_1920_VX-280049.webm (960x540) [116.6 MB] || 12051_Forest_Dynamics_1920_VX-280049_large.mp4 (1920x1080) [292.3 MB] || 12051_Forest_Dynamics_1280.mp4 (1280x720) [291.8 MB] || 12051_Forest_Dynamics_1920_VX-280049.mpeg (1280x720) [974.1 MB] || 12051_Forest_Dynamics-captions.en_US.vtt [6.7 KB] || 12051_Forest_Dynamics-captions.en_US.srt [6.6 KB] || 12051_Forest_Dynamics_1920_VX-280049_ipod_sm.mp4 (320x240) [47.4 MB] || 12051_Forest_Dynamics-youtube4K.mp4 (3840x2160) [1.1 GB] || 12051_Forest_Dynamics_1920_VX-280049_youtube_hq.mov (1920x1080) [3.6 GB] || 12051_Forest_Dynamics_1920_VX-280049_prores.mov (1280x720) [4.2 GB] || 12051_Forest_Dynamics_UHD.mov (3840x2160) [30.7 GB] || ",
            "hits": 67
        },
        {
            "id": 12800,
            "url": "https://svs.gsfc.nasa.gov/12800/",
            "result_type": "Produced Video",
            "release_date": "2017-12-11T16:00:00-05:00",
            "title": "The Birth of a New Island: Press Materials",
            "description": "Music: Fountain by Mailcoat Sheppard; Data Visions by Pike; Guilty Curiosity by Brice Davoli; Concerning Nymphs by Hammond Roberts. Complete transcript available. || NewTongaIsland_Long_print.jpg (1024x573) [107.5 KB] || NewTongaIsland_Long.png (2552x1429) [3.6 MB] || NewTongaIsland_Long_searchweb.png (320x180) [99.0 KB] || NewTongaIsland_Long_thm.png (80x40) [7.8 KB] || FACEBOOK_720_NewTongaIsland_Long_facebook_720.webm (1280x720) [43.3 MB] || TWITTER_720_NewTongaIsland_Long_twitter_720.mp4 (1280x720) [96.7 MB] || NewTongaIsland_Long_large.mp4 (1920x1080) [404.5 MB] || FACEBOOK_720_NewTongaIsland_Long_facebook_720.mp4 (1280x720) [504.5 MB] || YOUTUBE_720_NewTongaIsland_Long_youtube_720.mp4 (1280x720) [660.6 MB] || YOUTUBE_1080_NewTongaIsland_Long_youtube_1080.mp4 (1920x1080) [694.2 MB] || TongaNewIslandCaptions.en_US.srt [7.9 KB] || TongaNewIslandCaptions.en_US.vtt [7.8 KB] || CH28_NewTongaIsland_Long_ch28.mov (1280x720) [3.7 GB] || NewTongaIsland_Long.mov (1920x1080) [10.5 GB] || ",
            "hits": 102
        },
        {
            "id": 12700,
            "url": "https://svs.gsfc.nasa.gov/12700/",
            "result_type": "Produced Video",
            "release_date": "2017-12-08T10:00:00-05:00",
            "title": "Can Data from Space Save Dolphins?",
            "description": "In an unprecedented collaboration between NASA’s Goddard Space Flight Center, the International Fund for Animal Welfare, and the Bureau of Ocean Energy Management, scientists from a cross-section of fields pooled massive data sets together to investigate the possible connection between space weather and marine mammal mass stranding events. Music credits: Long Travels - Boris Nonte, Gregg LehrmanSpiritual Migration - Giles Robert LambCrystal Sound Bath - James Alexander DormanThe Space Between - Max ConcorsInducing Waves - Ben Niblett, Jon CottonEnchanted - Gregg Lehrman, Boris Nonte, Daniel Louis WalterComplete transcript available.Watch this video on the NASA Goddard YouTube channel.Credit: NASA’s Goddard Space Flight Center/Genna Duberstein/Scott Wiessinger || StrandingsPosterFrameTextv03.jpg (3840x2160) [3.0 MB] || 12700_NASA_Data_and_Dolphins_ProRes_FINAL.mov (1920x1080) [8.1 GB] || 12700_NASA_Data_and_Dolphins_FINAL_youtube_hq.mov (1920x1080) [4.5 GB] || YOUTUBE_1080_12700_NASA_Data_and_Dolphins_FINAL_youtube_1080.mp4 (1920x1080) [1.1 GB] || 12700_NASA_Data_and_Dolphins_H264_FINAL.mp4 (1920x1080) [716.4 MB] || 12700_NASA_Data_and_Dolphins_FINAL_large.mp4 (1920x1080) [613.7 MB] || YOUTUBE_1080_12700_NASA_Data_and_Dolphins_FINAL_youtube_1080.webm (1920x1080) [66.9 MB] || 12700_data_and_dolphins.en_US.srt [11.6 KB] || 12700_data_and_dolphins.en_US.vtt [11.5 KB] || ",
            "hits": 38
        },
        {
            "id": 30888,
            "url": "https://svs.gsfc.nasa.gov/30888/",
            "result_type": "Hyperwall Visual",
            "release_date": "2017-08-01T15:00:00-04:00",
            "title": "A Human-Driven Decline in Global Burned Area",
            "description": "Global Burned Area annual change, plus overall trend || time_series_fraction_hw_1080p.00001_print.jpg (1024x576) [205.5 KB] || time_series_fraction_hw_1080p.00001_searchweb.png (320x180) [102.4 KB] || time_series_fraction_hw_1080p.00001_thm.png (80x40) [7.3 KB] || time_series_fraction_hw_1080p.mp4 (1920x1080) [8.0 MB] || time_series_fraction_hw_720p.mp4 (1280x720) [4.0 MB] || time_series_fraction_hw_1080p.webm (1920x1080) [2.2 MB] || time_series_fraction_hw_2304p.mp4 (4096x2304) [26.3 MB] || hw (4104x2304) [128.0 KB] || ",
            "hits": 180
        },
        {
            "id": 12612,
            "url": "https://svs.gsfc.nasa.gov/12612/",
            "result_type": "Produced Video",
            "release_date": "2017-05-18T11:00:00-04:00",
            "title": "Landsat Tracks Mount St. Helens Recovery",
            "description": "In 1980, Mount St. Helens roared back into major activity with a massive eruption that leveled surrounding forest, blasted away over a thousand feet of the mountain's summit, and claimed 57 human lives.This short video shows the catastrophic eruption - and the amazing recovery of the surrounding ecosystem - through the eyes of the Landsat satellites, which have been imaging our planet for almost forty years. By observing red, near-infrared, and green wavelengths of light reflected off the surface, it is possible to distinguish healthy vegetation (in green) from bare ground (in magenta).Music: Running by Dirk Ehlert [BMI], Guillermo De La Barreda [BMI]Watch this video on the NASA Goddard YouTube channel. || 12612-Mt-St-Helens-timelapse-print.jpg (1920x1080) [2.3 MB] || 12612-Mt-St-Helens-timelapse-print_searchweb.png (320x180) [129.3 KB] || 12612-Mt-St-Helens-timelapse-print_thm.png (80x40) [7.7 KB] || 12612-Mt-St-Helens-timelapse_prores.mov (1280x720) [1.3 GB] || 12612-Mt-St-Helens-timelapse_large.mp4 (1920x1080) [95.7 MB] || 12612-Mt-St-Helens-timelapse_youtube_hq.mov (1920x1080) [407.5 MB] || 12612-Mt-St-Helens-timelapse_appletv.m4v (1280x720) [44.8 MB] || 12612-Mt-St-Helens-timelapse_.webm (960x540) [38.8 MB] || GSFC_20170518_MtStHelens_m12612_Timelapse.en_US.vtt [42 bytes] || 12612-Mt-St-Helens-timelapse_ipod_sm.mp4 (320x240) [15.5 MB] || ",
            "hits": 145
        },
        {
            "id": 4399,
            "url": "https://svs.gsfc.nasa.gov/4399/",
            "result_type": "Visualization",
            "release_date": "2015-11-30T00:00:00-05:00",
            "title": "A Quarter Century US Forest Disturbance History from Landsat – the NAFD-NEX Products",
            "description": "Visualization showing forest change in various locations from 1986 to 2010This video is also available on our YouTube channel. || annual_forest43.04000_print.jpg (1024x576) [253.2 KB] || annual_forest43.04000_searchweb.png (180x320) [129.5 KB] || annual_forest43.04000_thm.png (80x40) [7.7 KB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || annual_forest43_1920x1080p60.webm (1920x1080) [23.2 MB] || annual_forest43_1920x1080p60.mp4 (1920x1080) [228.8 MB] || 9600x3240_16x9_30p (9600x3240) [0 Item(s)] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || annual_forest43_4399.key [233.2 MB] || annual_forest43_4399.pptx [230.6 MB] || annual_forest43_4k_2160p60.mp4 (3840x2160) [825.7 MB] || 4399_annual_forest43_4k_cbar_MP4.mov (3840x2160) [14.4 GB] || annual.hwshow [55 bytes] || ",
            "hits": 83
        },
        {
            "id": 30555,
            "url": "https://svs.gsfc.nasa.gov/30555/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-12-05T11:00:00-05:00",
            "title": "Projected Suitable Habitats for Whitebark Pine",
            "description": "Projected changes in suitable habitats for whitebark pine from 2010-2099. || proj_suitable_habitats_whitebark_pine_print.jpg (1024x576) [127.0 KB] || proj_suitable_habitats_whitebark_pine_searchweb.png (320x180) [91.3 KB] || proj_suitable_habitats_whitebark_pine_web.png (320x180) [91.3 KB] || proj_suitable_habitats_whitebark_pine_thm.png (80x40) [6.2 KB] || proj_suitable_habitats_whitebark_pine.webm (1280x720) [8.1 MB] || 4104x2304_16x9_30p (4104x2304) [256.0 KB] || proj_suitable_habitats_whitebark_pine.mp4 (1280x720) [201.0 MB] || Projected_Hab_Whitebark_pine_4096x2304.mp4 (4104x2304) [284.3 MB] || proj_suitable_habitats_whitebark_pine.pptx [202.2 MB] || proj_suitable_habitats_whitebark_pine.key [205.0 MB] || projected-suitable-habitats-for-whitebark-pine.hwshow [243 bytes] || ",
            "hits": 9
        },
        {
            "id": 4209,
            "url": "https://svs.gsfc.nasa.gov/4209/",
            "result_type": "Visualization",
            "release_date": "2014-09-10T00:00:00-04:00",
            "title": "Forest Cover Loss 2000-2012 in Colorado, Oklahoma, and Saskatechewan",
            "description": "Twelve years of global deforestation, wildfires, windstorms, insect infestations, and more are captured in a new set of forest disturbance maps created from billions of pixels acquired by the imager on the NASA-USGS Landsat 7 satellite. The maps are the first to measure forest loss and gain using a consistent method around the globe at high spatial resolution, allowing scientists to compare forest changes in different countries and to monitor annual deforestation. Since each pixel in a Landsat image represents a piece of land about the size of a baseball diamond, researchers can see enough detail to tell local, regional and global stories. Hansen and colleagues analyzed 143 billion pixels in 654,000 Landsat images to compile maps of forest loss and gain between 2000 and 2012. During that period, 888,000 square miles (2.3 million square kilometers) of forest was lost, and 308,900 square miles (0.8 million square kilometers) regrew. The researchers, including scientists from the University of Maryland, Google, the State University of New York, Woods Hole Research Center, the U.S. Geological Survey and South Dakota State University, published their work in the Nov. 15, 2013, issue of the journal Science.Key to the project was collaboration with team members from Google Earth Engine, who reproduced in the Google Cloud the models developed at the University of Maryland for processing and characterizing the Landsat data; Google Earth Engine contains a complete copy of the Landsat record. The computing required to generate these maps would have taken 15 years on a single desktop computer, but with cloud computing was performed in a few days.  Since 1972, the Landsat program has played a critical role in monitoring, understanding and managing the resources needed to sustain human life such as food, water and forests. Landsat 8 launched Feb. 11, 2013, and is jointly managed by NASA and USGS to continue the 40-plus years of Earth observations. To view the forest cover maps in Google Earth Engine, visit: http://earthenginepartners.appspot.com/google.com/science-2013-global-forest || ",
            "hits": 33
        },
        {
            "id": 11393,
            "url": "https://svs.gsfc.nasa.gov/11393/",
            "result_type": "Produced Video",
            "release_date": "2013-11-14T14:00:00-05:00",
            "title": "Global Forest Cover, Loss, and Gain 2000-2012",
            "description": "Twelve years of global deforestation, wildfires, windstorms, insect infestations, and more are captured in a new set of forest disturbance maps created from billions of pixels acquired by the imager on the NASA-USGS Landsat 7 satellite. The maps are the first to measure forest loss and gain using a consistent method around the globe at high spatial resolution, allowing scientists to compare forest changes in different countries and to monitor annual deforestation. Since each pixel in a Landsat image represents a piece of land about the size of a baseball diamond, researchers can see enough detail to tell local, regional and global stories. Hansen and colleagues analyzed 143 billion pixels in 654,000 Landsat images to compile maps of forest loss and gain between 2000 and 2012. During that period, 888,000 square miles (2.3 million square kilometers) of forest was lost, and 308,900 square miles (0.8 million square kilometers) regrew. The researchers, including scientists from the University of Maryland, Google, the State University of New York, Woods Hole Research Center, the U.S. Geological Survey and South Dakota State University, published their work in the Nov. 15, 2013, issue of the journal Science.Key to the project was collaboration with team members from Google Earth Engine, who reproduced in the Google Cloud the models developed at the University of Maryland for processing and characterizing the Landsat data; Google Earth Engine contains a complete copy of the Landsat record. The computing required to generate these maps would have taken 15 years on a single desktop computer, but with cloud computing was performed in a few days.  Since 1972, the Landsat program has played a critical role in monitoring, understanding and managing the resources needed to sustain human life such as food, water and forests. Landsat 8 launched Feb. 11, 2013, and is jointly managed by NASA and USGS to continue the 40-plus years of Earth observations. To view the forest cover maps in Google Earth Engine, visit: http://earthenginepartners.appspot.com/google.com/science-2013-global-forest || ",
            "hits": 186
        },
        {
            "id": 11290,
            "url": "https://svs.gsfc.nasa.gov/11290/",
            "result_type": "Produced Video",
            "release_date": "2013-05-23T12:00:00-04:00",
            "title": "Pivot Irrigation in Saudi Arabia",
            "description": "Saudi Arabia is drilling for a resource possibly more precious than oil.Over the last 24 years, it has tapped hidden reserves of water to grow wheat and other crops in the Syrian Desert. This time series of data shows images acquired by three different Landsat satellites operated by NASA and the U.S. Geological Survey.The green fields that dot the desert draw on water that in part was trapped during the last Ice Age. In addition to rainwater that fell over several hundred thousand years, this fossil water filled aquifers that are now buried deep under the desert's shifting sands.Saudi Arabia reaches these underground rivers and lakes by drilling through the desert floor, directly irrigating the fields with a circular sprinkler system. This technique is called center-pivot irrigation.Because rainfall in this area is now only a few centimeters (about one inch) each year, water here is a non-renewable resource. Although no one knows how much water is beneath the desert, hydrologists estimate it will only be economical to pump water for about 50 years.In this series of four Landsat images, the agricultural fields are about one kilometer (.62 miles) across. The images were created using reflected light from the short wave-infrared, near-infrared, and green portions of the electromagnetic spectrum (bands 7, 4, and 2 from Landsat 4 and 5 TM and Landsat 7 ETM+ sensors). Using this combination of wavelengths, healthy vegetation appears bright green while dry vegetation appears orange. Barren soil is a dark pink, and urban areas, like the town of Tubarjal at the top of each image, have a purple hue.Landsat 4 launched in 1982 and provided scientific data for 11 years until 1993. NASA launched Landsat 5 in 1984 and it ran a record-breaking 28 years, sending back what was likely its last data in 2011. Landsat 7 is still up and running; it was launched in 1999. The data from these and other Landsat satellites has been instrumental in increasing our understanding of forest health, storm damage, agricultural trends, urban growth, and many other ongoing changes to our land.NASA and the U.S. Department of the Interior through the U.S. Geological Survey (USGS) jointly manage Landsat, and the USGS preserves a 40-year archive of Landsat images that is freely available data over the Internet. Download a still image showing four of the years: 1987, 1991, 2000, and 2012. || ",
            "hits": 304
        },
        {
            "id": 30009,
            "url": "https://svs.gsfc.nasa.gov/30009/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-04-02T00:00:00-04:00",
            "title": "Landsat: 25 Years of Land-Use Change near Portland, Oregon",
            "description": "This animation shows land-use changes over 25 years around the area of Portland, Oregon, United States, and Mt. St. Helens in Washington state.In this visualization, north is to the right and west is up. The city of Portland, Oregon can just be seen on the left edge of the image, while Mt. St. Helens shows up as a large red/purple area in the middle right.Areas of vegetation are shown in blues, greens and yellows while areas lacking vegetation are shown in reds, oranges, and browns. As the animation cycles through the years 1984-2008, the harvest and regrowth cycle of commercial forestry operations can be seen, along with gradual re-vegetation of areas destroyed by the 1980 volcanic eruption of Mt. St. Helens. || ",
            "hits": 90
        },
        {
            "id": 11040,
            "url": "https://svs.gsfc.nasa.gov/11040/",
            "result_type": "Produced Video",
            "release_date": "2012-07-23T01:00:00-04:00",
            "title": "Trinity County, California",
            "description": "Forest fires and logging are the two main drivers of change in this area within Trinity National Forest in northern California. Roger Eckart and his siblings bought a grandfathered-in piece of private land within the forest in 1972, and so together the Eckart family and the Landsat program have observed changes in the forest for over 40 years. || ",
            "hits": 38
        },
        {
            "id": 11029,
            "url": "https://svs.gsfc.nasa.gov/11029/",
            "result_type": "Produced Video",
            "release_date": "2012-07-23T00:00:00-04:00",
            "title": "Yellowstone Burn Recovery",
            "description": "A combination of lightning, drought and human activity caused fires to scorch more than one-third of Yellowstone National Park in the summer of 1988. Within a year, burn scars cast a sharp outline on the 793,880 acres affected by fire, distinguishing wide sections of recovering forest, meadows, grasslands and wetlands from unburned areas of the park. After more than two decades, satellite instruments can still detect these scars from space.In the time-lapse video below, a series of false-color images collected by USGS-NASA Landsat satellites from 1987 to 2018 show the burning and gradual regeneration of Yellowstone's forests following the 1988 fire season. Watch as burn scars (dark red) quickly replace large expanses of healthy green vegetation (dark green) by 1989. Notice how the scars slowly fade over time as new vegetation begins to grow and heal the landscape.Landsat Project Scientist Jeff Masek has been studying the recovery of the forest after the 1988 Yellowstone fires.  In the video below, he talks about how Landsat satellites detect the burn scars from space and distinguish them from healthy, un-burned forest and from new growth. || ",
            "hits": 183
        },
        {
            "id": 10967,
            "url": "https://svs.gsfc.nasa.gov/10967/",
            "result_type": "Produced Video",
            "release_date": "2012-04-30T00:00:00-04:00",
            "title": "Dalhart, Texas 1972-2011",
            "description": "A water-rich polka dot pattern takes over the traditional rectangular patchwork of fields in this 40 year sequence of Landsat images showing the dry Texas panhandle near the town of Dalhart.  In this series, vegetation appears red and the bare soil of fallow fields or sparsely vegetated grasslands appear white to green.  The blue-gray X near the center of the images marks the town of Dalhart. || ",
            "hits": 24
        },
        {
            "id": 10873,
            "url": "https://svs.gsfc.nasa.gov/10873/",
            "result_type": "Produced Video",
            "release_date": "2011-11-15T00:00:00-05:00",
            "title": "Global Rate of Deforestation 2011",
            "description": "Earth's forests are of incalculable value; they are a vital component of the climate system - controlling gas, energy and water exchange between the surface and atmosphere; the tropical forests alone contain half of all biological species - diversity that underpins human and environmental wellbeing; they are a major source of revenue - timber, non-timber forest products and mineral reserves and they are the primary source of energy for over 2 billion people. Forests have never been under more pressure. Demand for their natural wealth and a hunger for land causes forest clearance at alarming rates. The UN Food and Agriculture Organization (FAO) estimates that the Earth loses an area about the size of a football field every 3 seconds - in the time it takes to make a sandwich an area equivalent to the National Mall in Washington, D.C., is cleared... somewhere on Earth trees are falling every second of every day. Based on a systematic sample of Landsat imagery at 4,016 locations around the tropical belt the European Commission's TREES 3 project is making estimates of forest cover change for the years 1990, 2000, 2005 and 2010 with new levels of precision. Preliminary results emphasize just how relentless the pressure on our planet is. Using archived and recent Landsat imagery we have measured dramatic changes to the African Continent for example. Since the 1970s natural vegetation (forests and savannas) have been converted to agricultural land at a tremendous pace. Around 50,000 sq. km per year are cleared - an area twice the size of Vermont. With the fastest growing population in the world such land cover conversions are unlikely to slow down any time soon, nor should the measuring programs. Landsat 8 and its European counterpart, Sentinel 2, are not being launched any sooner than they are needed.<!--             —>             <!—    —>  <!—  --> || ",
            "hits": 111
        },
        {
            "id": 10872,
            "url": "https://svs.gsfc.nasa.gov/10872/",
            "result_type": "Produced Video",
            "release_date": "2011-11-14T13:00:00-05:00",
            "title": "Amazon Deforestation in Rondonia, Brazil, 2000-2010",
            "description": "The state of Rondonia in western Brazil is observed by satellite. This timelapse of MODIS images shows the reduction of the forest from 2000-2010.Deforestation follows a fairly predictable pattern in these images. The first clearings that appear in the forest are in a fishbone pattern, arrayed along the edges of roads. Over time, the fishbones collapse into a mixture of forest remnants, cleared areas, and settlements. This pattern follows one of the most common deforestation trajectories in the Amazon. Legal and illegal roads penetrate a remote part of the forest, and small farmers migrate to the area. They claim land along the road and clear some of it for crops. Within a few years, heavy rains and erosion deplete the soil, and crop yields fall. Farmers then convert the degraded land to cattle pasture, and clear more forest for crops. Eventually the small land holders, having cleared much of their land, sell it or abandon it to large cattle holders, who consolidate the plots into large areas of pasture. || ",
            "hits": 151
        },
        {
            "id": 10774,
            "url": "https://svs.gsfc.nasa.gov/10774/",
            "result_type": "Produced Video",
            "release_date": "2011-05-26T00:00:00-04:00",
            "title": "Landsat Observes Barrier Islands",
            "description": "A survey of barrier islands published in 2011 in the Journal of Coastal Research offers the most thorough assessment to date of the thousands of small islands that hug the coasts of the world's landmasses. The study, led by Matthew Stutz of Meredith College and Orrin Pilkey of Duke University, raises new questions about how the unique islands form and evolve over time - and how they may fare as the climate changes and sea level rises. It was based on a global collection of satellite images as well as information from topographic and navigational charts. Landsat 7 acquired the images around 2000, but a private company mosaicked them as part of an effort funded by NASA and the United States Geological Survey. || Barrier_Islands_Survey_ipod_sm.00552_print.jpg (1024x768) [85.4 KB] || Barrier_Islands_Survey_ipod_sm_web.png (320x240) [113.1 KB] || Barrier_Islands_Survey_ipod_sm_thm.png (80x40) [16.3 KB] || Barrier_Islands_Survey_ipod_sm_searchweb.png (320x180) [86.4 KB] || Barrier_Islands_Survey_youtube_hq.mov (1280x720) [78.3 MB] || Barrier_Islands_Survey_appletv.m4v (960x540) [62.8 MB] || Barrier_Islands_Survey.wmv (1280x720) [70.7 MB] || Barrier_Islands_Survey_prores.mov (1280x720) [2.2 GB] || Barrier_Islands_Survey_appletv.webmhd.webm (960x540) [28.9 MB] || Barrier_Islands_Survey.mov (640x360) [59.1 MB] || Barrier_Islands_Survey_ipod_lg.m4v (640x360) [24.9 MB] || GSFC_20110526_Barrier_m10774_Islands.en_US.vtt [42 bytes] || Barrier_Islands_Survey_ipod_sm.mp4 (320x240) [13.2 MB] || ",
            "hits": 13
        },
        {
            "id": 10641,
            "url": "https://svs.gsfc.nasa.gov/10641/",
            "result_type": "Produced Video",
            "release_date": "2010-09-09T00:00:00-04:00",
            "title": "Desert RATS",
            "description": "Desert Research and Technology Studies (Desert RATS) tests procedures and equipment that could one day be a part of human space flight missions to the moon and Mars.For complete transcript, click here. || G2010-108_Desert_RATS.05270_print.jpg (1024x576) [128.1 KB] || G2010-108_Desert_RATS_web.png (320x180) [247.2 KB] || G2010-108_Desert_RATS_thm.png (80x40) [17.0 KB] || G2010-108_Desert_RATS_youtube_hq.mov (1280x720) [120.4 MB] || G2010-108_Desert_RATS.wmv (1280x720) [114.7 MB] || G2010-108_Desert_RATS_appletv.m4v (960x540) [119.2 MB] || G2010-108_Desert_RATS_appletv.webmhd.webm (960x540) [46.9 MB] || G2010-108_Desert_RATS.mov (640x360) [95.3 MB] || G2010-108_Desert_RATS_ipod_lg.m4v (640x360) [37.9 MB] || GSFC_20100909_Desert_m10641_RATS.en_US.srt [4.8 KB] || GSFC_20100909_Desert_m10641_RATS.en_US.vtt [4.6 KB] || G2010-108_Desert_RATS_-ipod_sm.mp4 (320x240) [20.2 MB] || G2010-108_Desert_RATS.mpg (512x288) [30.8 MB] || ",
            "hits": 53
        },
        {
            "id": 10468,
            "url": "https://svs.gsfc.nasa.gov/10468/",
            "result_type": "Produced Video",
            "release_date": "2009-07-21T00:00:00-04:00",
            "title": "Journey to Galapagos",
            "description": "NASA oceanographer Dr. Gene Carl Feldman is no stranger to the Galapagos Islands, although he has never been there. He has studied these \"Enchanted Isles\" from the vantage point of space for the last 25 years, but in July 2009 he will set foot on the islands for the first time. 2009 marks the 200th anniversary of the birth of Charles Darwin as well as the 150th anniversary of the publication of The Origin of Species. In celebration of these two events, the Charles Darwin Foundation is holding an international symposium to assess the current state of knowledge about this remarkable place, and has invited Dr. Feldman to present a paper on his perspective of the Galapagos. || ",
            "hits": 13
        },
        {
            "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": 38
        },
        {
            "id": 3509,
            "url": "https://svs.gsfc.nasa.gov/3509/",
            "result_type": "Visualization",
            "release_date": "2008-04-16T00:00:00-04:00",
            "title": "Las Vegas Growth from Landsat",
            "description": "This sequence of images from the earliest Landsat satellite to the present captures the dramatic growth of Las Vegas, Nevada. From 1973 to 2006, the population of Las Vegas grew from 358,000 to over 2 million. || ",
            "hits": 52
        },
        {
            "id": 10184,
            "url": "https://svs.gsfc.nasa.gov/10184/",
            "result_type": "Produced Video",
            "release_date": "2008-01-30T00:00:00-05:00",
            "title": "Urban Growth in Las Vegas",
            "description": "In May 1973, less than a year after the first of NASA's Landsat satellites was launched, Las Vegas, Nevada had a population of only 358,000.  By 2006 the population had ballooned to over 2 million.  Still one of America's fastest growing urban areas, this series of Landsat scenes from four different years shows just how dramamtic the growth of Las Vegas has been. || ",
            "hits": 59
        },
        {
            "id": 3152,
            "url": "https://svs.gsfc.nasa.gov/3152/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Temperature (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows average surface temperature predicted by the Land Information System (LIS) for a day in June 2001. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 40
        },
        {
            "id": 3154,
            "url": "https://svs.gsfc.nasa.gov/3154/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Evaporation (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows evaporation rates predicted by the Land Information System (LIS) for a day in June 2001. Evaporation is lower in the cities because water tends to run off pavement and into drains, rather than being absorbed by soil and plants from which it later evaporates. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 176
        },
        {
            "id": 3155,
            "url": "https://svs.gsfc.nasa.gov/3155/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Thermal Radiation (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows outgoing thermal radiation predicted by the Land Information System (LIS) for a day in June 2001. Cities are warmer, so they emit more longwave (infrared) radiation. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 40
        },
        {
            "id": 3156,
            "url": "https://svs.gsfc.nasa.gov/3156/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Latent Heat Flux (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows latent heat flux predicted by the Land Information System (LIS) for a day in June 2001. (Latent heat flux refers to the transfer of energy from the Earth's surface to the air above by evaporation of water on the surface; for a more detailed explanation see http://www.uwsp.edu/geo/faculty/ritter/geog101/textbook/energy/energy_balance.html). Latent heat flux is lower in the cities because there is less evaporation there. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 131
        },
        {
            "id": 3157,
            "url": "https://svs.gsfc.nasa.gov/3157/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Sensible Heat Flux (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows sensible heat flux predicted by the Land Information System (LIS) for a day in June 2001. (Sensible heat flux refers to transfer of heat from the earth's surface to the air above; for further explanation see http://www.uwsp.edu/geo/faculty/ritter/geog101/textbook/energy/energy_balance.html). Sensible heat flux is higher in the cities—that is, they transfer more heat to the atmosphere—because the surface there is warmer than in the surroundings. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 118
        },
        {
            "id": 3116,
            "url": "https://svs.gsfc.nasa.gov/3116/",
            "result_type": "Visualization",
            "release_date": "2005-03-02T12:00:00-05:00",
            "title": "Mount St. Helens Before, During, and After (WMS)",
            "description": "Mount St. Helens erupted on May 18, 1980, devastating more than 150 square miles of forest in southwestern Washington state. This animation shows Landsat images of the Mount St. Helens area in 1973, 1983, and 2000, illustrating the destruction and regrowth of the forest. The 1983 image clearly shows the new crater on the northern slope where the eruption occurred, the rivers and lakes covered with ash, and the regions of deforestation. The 2000 image, taken twenty years after the eruption, still shows the changed crater, but much of the devastated area is covered by new vegetation growth. || ",
            "hits": 196
        },
        {
            "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": 36
        },
        {
            "id": 2494,
            "url": "https://svs.gsfc.nasa.gov/2494/",
            "result_type": "Visualization",
            "release_date": "2002-07-23T12:00:00-04:00",
            "title": "Terra/MODIS views fires near Sequoia National Forest",
            "description": "Fires near the Sequoia National Forest threaten some of the largest and oldest trees in the world. || Movie push-in || a002494.00005_print.png (720x480) [525.1 KB] || sequoia_fires_pre.jpg (320x240) [9.9 KB] || a002494.webmhd.webm (960x540) [1.2 MB] || a002494.dv (720x480) [30.4 MB] || sequoia_fires.mpg (320x240) [433.8 KB] || Full image view of southern California || sequoia0001.jpg (2560x1920) [645.9 KB] || sequoia0001_web.jpg (320x240) [11.6 KB] || sequoia0001.tif (2560x1920) [4.0 MB] || ",
            "hits": 9
        },
        {
            "id": 2288,
            "url": "https://svs.gsfc.nasa.gov/2288/",
            "result_type": "Visualization",
            "release_date": "2001-12-10T12:00:00-05:00",
            "title": "Missing Link in Carbon Sink Found in Northern Forests: Three Years of Biosphere Data, Spinning Globe",
            "description": "Using the Biosphere SeaWiFS Globe to help visualize the Carbon Sink Release. || Using the Biosphere SeaWiFS Globe to visualizethe carbon sink story. The Oceans are masked out to help see the land better. || a002288.00005_print.png (720x480) [303.4 KB] || a002288_pre.jpg (320x240) [5.9 KB] || a002288.webmhd.webm (960x540) [7.6 MB] || a002288.dv (720x480) [221.3 MB] || a002288.mpg (320x240) [1.2 MB] || ",
            "hits": 29
        },
        {
            "id": 2289,
            "url": "https://svs.gsfc.nasa.gov/2289/",
            "result_type": "Visualization",
            "release_date": "2001-12-10T12:00:00-05:00",
            "title": "Missing Link in Carbon Sink found in Northern Forests: Three Years of Biosphere Data, North America focus",
            "description": "Using the Biosphere SeaWiFS Globe to help visualize the Carbon Sink Release. || This animation shows our planet pulsate withlife. The Carbon Sink Animation uses three years of data of the Biosphere,focused on North America. || a002289.00005_print.png (720x480) [311.4 KB] || a002289.00860_print.png (720x480) [310.9 KB] || a002289_pre.jpg (320x240) [5.9 KB] || a002289.webmhd.webm (960x540) [4.2 MB] || a002289.dv (720x480) [124.7 MB] || a002289.mpg (320x240) [3.8 MB] || ",
            "hits": 16
        },
        {
            "id": 2290,
            "url": "https://svs.gsfc.nasa.gov/2290/",
            "result_type": "Visualization",
            "release_date": "2001-12-10T12:00:00-05:00",
            "title": "Missing Link in Carbon Sink found in Northern Forests: Three Years of Biosphere Data, Europe and Asia focus",
            "description": "Using the Biosphere SeaWiFS Globe to help visualize the Carbon Sink Release. || This visualization uses the three years of data of theBiosphere, focused on Europe and Asia || a002290.00100_print.png (720x480) [296.9 KB] || a002290.00960_print.png (720x480) [375.1 KB] || a002290_pre.jpg (320x240) [6.1 KB] || a002290.webmhd.webm (960x540) [6.6 MB] || a002290.dv (720x480) [166.7 MB] || a002290.mpg (320x240) [3.3 MB] || ",
            "hits": 12
        },
        {
            "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": 23
        },
        {
            "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": 40
        },
        {
            "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": 45
        },
        {
            "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": 29
        },
        {
            "id": 2285,
            "url": "https://svs.gsfc.nasa.gov/2285/",
            "result_type": "Visualization",
            "release_date": "2001-11-15T12:00:00-05:00",
            "title": "Grasslands of the World",
            "description": "Rotating globe showing global grassland coverage.  Data obtained from Terra/MODIS land cover isolating grasslands, woody savannas, savannas, and wetlands (all seen in green).  This data represents 4 parts of a 17 part global classification product all of which have been taken at 1km. resolution. || ",
            "hits": 47
        },
        {
            "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": 92
        },
        {
            "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": 46
        },
        {
            "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": 29
        }
    ]
}