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    "results": [
        {
            "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": 47
        },
        {
            "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": 230
        },
        {
            "id": 14410,
            "url": "https://svs.gsfc.nasa.gov/14410/",
            "result_type": "Produced Video",
            "release_date": "2023-09-13T10:00:00-04:00",
            "title": "NASA Joins Jane Goodall to Conserve Chimp Habitats",
            "description": "Complete transcript available. || Jane_Goodall_fullvideo_FINAL.00001_print.jpg (1024x576) [225.0 KB] || Jane_Goodall_fullvideo_FINAL.00001_searchweb.png (320x180) [123.8 KB] || Jane_Goodall_fullvideo_FINAL.00001_web.png (320x180) [123.8 KB] || Jane_Goodall_fullvideo_FINAL.00001_thm.png (80x40) [8.1 KB] || Jane_Goodall_fullvideo_FINAL.en_US.srt [10.7 KB] || Jane_Goodall_fullvideo_FINAL.en_US.vtt [10.2 KB] || Jane_Goodall_fullvideo_FINAL.mp4 (3840x2160) [4.3 GB] || ",
            "hits": 37
        },
        {
            "id": 14352,
            "url": "https://svs.gsfc.nasa.gov/14352/",
            "result_type": "Produced Video",
            "release_date": "2023-05-18T15:00:00-04:00",
            "title": "NASA Teams with Forest Service to Tally America’s Oldest Trees",
            "description": "This is the full, horizontal version of the video. Complete transcript available. || MOG_forests_NASA_approved_final_1.00175_print.jpg (1024x540) [174.4 KB] || MOG_forests_NASA_approved_final_1.00175_searchweb.png (320x180) [87.0 KB] || MOG_forests_NASA_approved_final_1.00175_web.png (320x168) [78.6 KB] || MOG_forests_NASA_approved_final_1.00175_thm.png (80x40) [5.8 KB] || MOG_forests_NASA_approved_final_1.mp4 (4096x2160) [683.3 MB] || MOG_forests_NASA_approved_final.en_US.srt [6.2 KB] || MOG_forests_NASA_approved_final.en_US.vtt [5.9 KB] || MOG_forests_NASA_approved_final_1.webm (4096x2160) [117.3 MB] || ",
            "hits": 49
        },
        {
            "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": 109
        },
        {
            "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": 330
        },
        {
            "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": 59
        },
        {
            "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": 43
        },
        {
            "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": 35
        },
        {
            "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": 46
        },
        {
            "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": 37
        },
        {
            "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": 34
        },
        {
            "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": 25
        },
        {
            "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": 95
        },
        {
            "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": 349
        },
        {
            "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": 41
        },
        {
            "id": 13614,
            "url": "https://svs.gsfc.nasa.gov/13614/",
            "result_type": "Produced Video",
            "release_date": "2020-05-18T11:00:00-04:00",
            "title": "40 Years of Forest Recovery",
            "description": "The long record of Landsat data (since 1972) is helping scientists Sean Healey and Zhiqiang Yang of the Rocky Mountain Research Station (U.S. Forest Service) study the long-term impact of the May 18, 1980, eruption of Mount St. Helens. With Landsat data for 8 years before the eruption, and 40 years since, they have calculated the percent tree cover for each year, watching as vegetation grows back.Music: The Waiting Room by Sam Dodson [PRS], published by Atmosphere Music Ltd [PRS]; Inner Strength by Brava [SGAE], Dsilence [SGAE], Input [SGAE] , Output [SGAE], published by El Murmullo Sarao [SGAE], Universal Sarao [SGAE], Some Assembly by Kyle Fredrickson [ASCAP] and Taylor Alexander Locke [BMI], published by Killer Tracks [BMI], Soundcast Music [SESAC], and Light From Dark by Adam Salkeld [PRS] and Neil Pollard [PRS], published by Atmosphere Music Ltd [PRS], all available from Universal Production Music.Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13614_Mt_St_Helens_Landsat.png (1920x1080) [4.0 MB] || 13614_Mt_St_Helens_print.png (1920x1080) [3.5 MB] || 13614_Mt_St_Helens_print_print.jpg (1024x576) [287.9 KB] || 13614_Mt_St_Helens_print_searchweb.png (320x180) [106.3 KB] || 13614_Mt_St_Helens_print_thm.png (80x40) [7.4 KB] || 13614_Mt_St_Helens_prores.mov (1920x1080) [11.9 GB] || 13614_Mt_St_Helens_youtube.mp4 (1920x1080) [411.3 MB] || 13614_Mt_St_Helens_facebook.mp4 (1920x1080) [354.9 MB] || 13614_Mt_St_Helens_twitter.mp4 (1504x846) [139.3 MB] || 13614_Mt_St_Helens_youtube.webm (1920x1080) [47.9 MB] || 13614_Mt_St_Helens-captions.en_US.srt [8.6 KB] || 13614_Mt_St_Helens-captions.en_US.vtt [8.6 KB] || ",
            "hits": 52
        },
        {
            "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": 26
        },
        {
            "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": 44
        },
        {
            "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": 31
        },
        {
            "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": 47
        },
        {
            "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": 30
        },
        {
            "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": 23
        },
        {
            "id": 30545,
            "url": "https://svs.gsfc.nasa.gov/30545/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-11-05T15:00:00-05:00",
            "title": "Tesso Nilo National Park",
            "description": "Landsat timeseries of Tesso Nilo National Park || tesso_nilo_1990-2014_9_image_grid_print.jpg (1024x576) [242.3 KB] || tesso_nilo_1990-2014_9_image_grid_web.png (320x180) [115.4 KB] || tesso_nilo_1990-2014_9_image_grid_searchweb.png (320x180) [115.4 KB] || tesso_nilo_1990-2014_9_image_grid_thm.png (80x40) [15.4 KB] || tesso_nilo_1990-2014_9_image_grid.tif (5760x3240) [53.4 MB] || tesso_nilo_1990-2014_9_image_grid.pptx [1.3 MB] || tesso_nilo_1990-2014_9_image_grid.key [35.9 MB] || ",
            "hits": 21
        },
        {
            "id": 4071,
            "url": "https://svs.gsfc.nasa.gov/4071/",
            "result_type": "Visualization",
            "release_date": "2013-05-08T12:00:00-04:00",
            "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in Ukraine, Russia, and Kazakhstan",
            "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change.  New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. || ",
            "hits": 24
        },
        {
            "id": 4072,
            "url": "https://svs.gsfc.nasa.gov/4072/",
            "result_type": "Visualization",
            "release_date": "2013-05-08T12:00:00-04:00",
            "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in the United States",
            "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change.  New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. The visual compares the crop conditions or NDVI anomaly from year 2011-2012 to year 2012-2013. In the 2012-2013 year 7,342 more metric tons (MT) of wheat were produced then in the previous year, but 40,086 fewer metric tons of corn were produced. || ",
            "hits": 62
        },
        {
            "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": 41
        },
        {
            "id": 2909,
            "url": "https://svs.gsfc.nasa.gov/2909/",
            "result_type": "Visualization",
            "release_date": "2004-02-13T12:00:00-05:00",
            "title": "Wildfire Growth around Yellowstone National Park in 1988 (WMS)",
            "description": "During the summer of 1988, wildfires burned about 1.4 million acres in and around Yellowstone National Park. Spurred by the driest summer in park history, the fires started in early July and lasted until early October. The worst day was August 20, when tremendous winds pushed the fires to burn over 150,000 acres. Although the scars from these fires are still visible in Landsat imagery from space over ten years later, the patchwork nature of the fire footprint left many unburned areas from which plant species have regenerated very successfully. This animation shows how the fires progressed in the period from June 30 though October 2, 1988, by which time the fall rain and snow had stopped the fire growth. These maps are based on daily ground observations by fire lookouts in the park and by infrared imaging cameras flown over the park at night. These observations are considered accurate to within about 100 meters. || ",
            "hits": 68
        },
        {
            "id": 2890,
            "url": "https://svs.gsfc.nasa.gov/2890/",
            "result_type": "Visualization",
            "release_date": "2004-02-10T12:00:00-05:00",
            "title": "African Fires During 2002 (WMS)",
            "description": "This animation shows fire activity in Africa from January 1, 2002 to December 31, 2002. The fires are shown as tiny particles with each particle depicting the geographic region in which fire was detected. The color of a particle represents the number of days since a sizable amount of fire was detected in that region, with red representing less than 20 days, orange representing 20 to 40 days, yellow representing 40 to 60 days, and gray to black representing more than 60 days. This data was measured by the MODIS instrument on the Terra satellite. MODIS detects fires by measuring the brightness temperature of a region in several frequency bands and looking for hot spots where this temperature is greater than the surrounding region. || ",
            "hits": 27
        }
    ]
}