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    "results": [
        {
            "id": 5616,
            "url": "https://svs.gsfc.nasa.gov/5616/",
            "result_type": "Visualization",
            "release_date": "2026-03-09T13:00:00-04:00",
            "title": "Global Views of ICESat-2 Data",
            "description": "ICESat-2 data products on a rotating Earth. Together they illustrate the satellite’s measurements of Earth’s land, ice, oceans, forests, and atmosphere.",
            "hits": 341
        },
        {
            "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": 251
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        {
            "id": 40503,
            "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall-power-playlist-earth-science/",
            "result_type": "Gallery",
            "release_date": "2023-08-28T00:00:00-04:00",
            "title": "Hyperwall Power Playlist - Earth Science Focus",
            "description": "This is a collection of our most powerful, newsworthy, and frequently used Hyperwall-ready visualizations, along with several that haven't gotten the attention they deserve. They're especially great for more general or top-level science talks, or to \"set the scene\" before a deep dive into a more focused subject or dataset. We've tried to cover the subject areas our speakers focus on most. \n\nIf you're not seeing what you're looking for, there is a huge library of visualizations more localized or specialized in subject - please use the Search function above, and filter \"Result type\" for \"Hyperwall Visual.\"\n\n If you'd like to use one of these visualizations in your Hyperwall presentation, we'll need to know which element on which page. On the visualization's web page, below the visual you'd like to use, you'll see a Link icon next to the Download button. All we need is for you to click on that icon and include that link in your presentation Powerpoint/Keynote or visualization list. Additionally, please check our Hyperwall How-To Guide  for tips on designing your Hyperwall presentation, file specifications, and Powerpoint/Keynote templates.",
            "hits": 272
        },
        {
            "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": 416
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        {
            "id": 4936,
            "url": "https://svs.gsfc.nasa.gov/4936/",
            "result_type": "Visualization",
            "release_date": "2021-09-17T00:00:00-04:00",
            "title": "Studying vegetation canopy with ICESAT-2",
            "description": "This visualization depicts how ICESat-2 data is being used to study vegetation canopy. The visualization begins with a view of 6 beams passing over forested mountains, before zooming in on a single beam and introducing the data classification scheme.  Data points are classified as ground (light brown), vegetation (green), vegetation canopy (tan), or unclassified (grey).  A transparent scale using meters for distance and altitude is overlaid momentarily before the camera moves on and explores the rest of the beam data. Altitude is exaggerated 5x. || ICESat-2_vegetation_canopy.03680_print.jpg (1024x576) [106.5 KB] || ICESat-2_vegetation_canopy.03680_searchweb.png (320x180) [47.1 KB] || ICESat-2_vegetation_canopy.03680_thm.png (80x40) [4.0 KB] || ICESat-2_vegetation_canopy_1080p60.webm (1920x1080) [31.0 MB] || icesat2_vegetation_canopy (3840x2160) [1.0 MB] || ICESat-2_vegetation_canopy_1080p60.mp4 (1920x1080) [134.2 MB] || ",
            "hits": 152
        },
        {
            "id": 40413,
            "url": "https://svs.gsfc.nasa.gov/gallery/earth-science-playlist/",
            "result_type": "Gallery",
            "release_date": "2020-04-01T00:00:00-04:00",
            "title": "Earth Science Playlist",
            "description": "No description available.",
            "hits": 6
        },
        {
            "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": 71
        },
        {
            "id": 12398,
            "url": "https://svs.gsfc.nasa.gov/12398/",
            "result_type": "Produced Video",
            "release_date": "2019-02-21T05:00:00-05:00",
            "title": "A 3D Forest Map",
            "description": "Lasers, droughts, and a 3D view: NASA maps the Amazon to examine tree mortality. || logged_v84_still.0561_1024x576.jpg (1024x576) [196.1 KB] || logged_v84_still.0561_print.jpg (1024x576) [215.8 KB] || logged_v84_still.0561_searchweb.png (320x180) [87.1 KB] || logged_v84_still.0561_thm.png (80x40) [5.6 KB] || logged_v84_still.0561.tif (3840x2160) [12.9 MB] || ",
            "hits": 256
        },
        {
            "id": 13114,
            "url": "https://svs.gsfc.nasa.gov/13114/",
            "result_type": "Produced Video",
            "release_date": "2018-12-17T10:00:00-05:00",
            "title": "GEDI Overview",
            "description": "The GEDI instrument was built at NASA's Goddard Space Flight Center, and has the highest resolution and densest sampling of any lidar every put in orbit. The mission is led by the University of Maryland and is designed to help researchers understand how ecosystems are storing carbon.Complete transcript available.Music: Secret Science, by  Lee Groves [PRS], Peter George Marett [PRS]; Team Effort, by Alexandre Prodhomme [SACEM], Eddy Pradelles [SACEM]Watch this video on the NASA Goddard YouTube channel. || GEDI_on_ISS_print.jpg (1024x576) [60.9 KB] || GEDI_on_ISS.png (3840x2160) [5.6 MB] || GEDI_on_ISS_searchweb.png (320x180) [56.5 KB] || GEDI_on_ISS_thm.png (80x40) [5.2 KB] || 13114_GEDI_overview_prores.mov (1920x1080) [6.3 GB] || 13114_GEDI_overview_youtube_1080.mp4 (1920x1080) [354.2 MB] || 13114_GEDI_overview_youtube_720.mp4 (1280x720) [354.4 MB] || 13114_GEDI_overview_twitter_720.mp4 (1280x720) [49.8 MB] || 13114_GEDI_overview.webm (960x540) [91.1 MB] || 13114_GEDI_overview-captions.en_US.srt [5.0 KB] || 13114_GEDI_overview-captions.en_US.vtt [5.0 KB] || ",
            "hits": 268
        },
        {
            "id": 4621,
            "url": "https://svs.gsfc.nasa.gov/4621/",
            "result_type": "Visualization",
            "release_date": "2018-12-10T12:01:00-05:00",
            "title": "El Yunque National Forest, Puerto Rico Canopy Change Nadir View (2017-2018)",
            "description": "Animation that does of a low fly over of El Yunque National Forest, Puerto Rico. The entire animation is split screen showing the 2017 data on top and 2018 on bottom. Notice the dense lush forest canopy in 2017 and how it covers and shades much of the forest floor. However, in 2018, after Maria devastated the forest in late 2017, the tree canopy has been greatly thinned exposing much more of the forest floor. || evzoom_comp4.0300_print.jpg (1024x576) [316.8 KB] || evzoom_comp4.0300_searchweb.png (320x180) [121.7 KB] || evzoom_comp4.0300_thm.png (80x40) [7.3 KB] || Sample_Composite (1920x1080) [0 Item(s)] || evzoom_comp4_1080p30.webm (1920x1080) [15.4 MB] || evzoom_comp4_1080p30.mp4 (1920x1080) [199.0 MB] || evzoom_comp4_1080p30.mp4.hwshow [186 bytes] || ",
            "hits": 65
        },
        {
            "id": 4624,
            "url": "https://svs.gsfc.nasa.gov/4624/",
            "result_type": "Visualization",
            "release_date": "2018-12-10T12:00:00-05:00",
            "title": "El Yunque National Forest, Puerto Rico Canopy Change from Afar (2017-2018)",
            "description": "Sample Composite that split screens the lidar swath over the El Yunque National Forest, Puerto Rico. During the split screen, 2017 data is on the upper left and 2018 data on the bottom right. As the camera moves northwest, the viewer can see patches of ground becoming visible in the 2018 data. This is due to the vast numbers of trees that were stripped or fell during Hurricane Maria in September 2017. || el_verde_comp.0190_print.jpg (1024x576) [368.1 KB] || el_verde_comp.0800.png (1920x1080) [3.0 MB] || el_verde_comp.0190_searchweb.png (320x180) [115.9 KB] || el_verde_comp.0190_thm.png (80x40) [6.0 KB] || Sample_Composite (1920x1080) [0 Item(s)] || el_verde_comp_1080p30.webm (1920x1080) [11.9 MB] || el_verde_comp.0800.tif (1920x1080) [5.9 MB] || el_verde_comp_1080p30.mp4 (1920x1080) [247.1 MB] || el_verde_comp_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 68
        },
        {
            "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": 54
        },
        {
            "id": 4576,
            "url": "https://svs.gsfc.nasa.gov/4576/",
            "result_type": "Visualization",
            "release_date": "2018-12-10T00:00:00-05:00",
            "title": "El Yunque National Forest, Puerto Rico Canopy Change Up Close (2017-2018)",
            "description": "Sample composite that shows a split screen of 2017 and 2018 lidar data over El Yunque National Forest, Puerto Rico. As the animation plays, one can see a distinct difference between the fullness of the 2017 forest canopy versus the much sparser 2018 canopy. This difference is most noticable around rivers and streams where the neighboring forest canopy was stripped away by Hurricane Maria exposing much more of the water banks. || el_verde_zoom_comp2.2800_print.jpg (1024x576) [305.6 KB] || Sample_Composite (1920x1080) [0 Item(s)] || el_verde_zoom_comp2_1080p30_2.webm (1920x1080) [21.8 MB] || el_verde_zoom_comp2_1080p30_2.mp4 (1920x1080) [338.7 MB] || el_verde_zoom_comp2_1080p30_2.mp4.hwshow [195 bytes] || ",
            "hits": 48
        },
        {
            "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": 76
        },
        {
            "id": 13090,
            "url": "https://svs.gsfc.nasa.gov/13090/",
            "result_type": "Produced Video",
            "release_date": "2018-10-09T08:00:00-04:00",
            "title": "GEDI Media Resources",
            "description": "The Global Ecosystem Dynamics Investigation (GEDI) uses laser pulses to give a view of the 3D structure of the Earth. GEDI’s precise measurements of the height and vertical structure of forest canopy, along with the surface elevation, will greatly advance our ability to characterize important carbon and water cycling processes, biodiversity, and habitat.  The mission is led by the University of Maryland, College Park, and the instrument was built and tested at NASA's Goddard Space Flight Center.GEDI observes nearly all tropical and temperate forests using a self-contained laser altimeter on the International Space Station. GEDI has the highest resolution and densest sampling of any lidar ever put in orbit. This has required a number of innovative technologies to be developed at NASA Goddard.GEDI has three lasers that produce 8 parallel tracks of observations. Each laser fires 242 times per second and illuminates a 25-meter footprint on the surface over which 3D structure is measured. Each footprint is separated by 60 meters along the track, with an across-track distance of about 600 m between each of the 8 tracks. GEDI is expected to produce about 10 billion cloud-free observations during its nominal 24-month mission length.With these observations, GEDI will provide answers to how deforestation has contributed to atmospheric CO2 concentrations, how much carbon forests will absorb in the future, and how habitat degradation will affect global biodiversity. This data is of immense value for forest and water resource management, carbon cycle science, and weather prediction.For more information about GEDI: https://gedi.umd.edu || ",
            "hits": 138
        },
        {
            "id": 4530,
            "url": "https://svs.gsfc.nasa.gov/4530/",
            "result_type": "Visualization",
            "release_date": "2018-06-12T11:00:00-04:00",
            "title": "50 Kilometers of Brazilian Forest Canopy",
            "description": "This visualization shows an airplane collecting a 50 kilometer swath of lidar data over the Brazilian rainforest. For ground level features, colors range from deep brown to tan. Vegetation heights are depicted in shades of green, where dark greens are closest to the ground and light greens are the highest. || transect2014.17900_print.jpg (1024x576) [106.2 KB] || transect2014.17900_searchweb.png (320x180) [44.6 KB] || transect2014.17900_thm.png (80x40) [4.1 KB] || transect2014_720p30.webm (1280x720) [71.4 MB] || transect2014_720p30.mp4 (1280x720) [132.4 MB] || transect2014_1080p30.mp4 (1920x1080) [311.2 MB] || transect2014_360p30.mp4 (640x360) [30.3 MB] || transect2014 (3840x2160) [0 Item(s)] || transect2014_2160p30_3.mp4 (3840x2160) [1.2 GB] || transect2014_1080p30.mp4.hwshow [212 bytes] || ",
            "hits": 38
        },
        {
            "id": 4532,
            "url": "https://svs.gsfc.nasa.gov/4532/",
            "result_type": "Visualization",
            "release_date": "2018-06-12T11:00:00-04:00",
            "title": "Flying Through LIDAR Canopy Data",
            "description": "This animation shows an airplane collecting treetop data over a Brazilian rainforest. As the airplane continues to collect data, the viewer flies down to the rainforest canopy and flies through the virtual leaves, eventually emerging to see the airplane off in the distance still collecting new data. It should be noted that for the purposes of this animation, we chose to use leaf-like objects to represent each lidar data point in 3D space. However, lidar data does not specifically show individual leaves, but simply point heights reflected by the leaf canopy. However, the resolution of the lidar data is so good that it potentially can pick up leaves and other structures such as tree branches, and sometimes even flying birds, but has no easy way to differentiate between them. Therefore, since the location of this particular data was known to be a rainforest, and the majority of the data points would represent leaves, we chose leaf-like structures for this particular case. || flythrough.0520_print.jpg (1024x576) [192.8 KB] || flythrough.0520_searchweb.png (320x180) [84.5 KB] || flythrough.0520_thm.png (80x40) [5.8 KB] || flythrough_1080p30.mp4 (1920x1080) [82.6 MB] || flythrough_720p30.mp4 (1280x720) [39.9 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || flythrough_1080p30.webm (1920x1080) [5.9 MB] || flythrough_360p30.mp4 (640x360) [12.3 MB] || flythrough_4532.key [40.3 MB] || flythrough_4532.pptx [40.0 MB] || flythrough_1080p30.mp4.hwshow [184 bytes] || ",
            "hits": 172
        },
        {
            "id": 4650,
            "url": "https://svs.gsfc.nasa.gov/4650/",
            "result_type": "Visualization",
            "release_date": "2018-06-12T11:00:00-04:00",
            "title": "Brazilian Rainforest Logged Area Canopy Change 2013-2016",
            "description": "This data visualization starts with an airplane collecting lidar over a flat plane. As the data is collected a strip of the 2013 Brazilian rainforest canopy can be seen. Once the plane flies past, we spin the camera around to get a better view of the treetop canopy data. We then highlight areas of the canopy that will undergo significant change from 2013 to 2016. Finally, we allow those highlighted areas (ie, trees and tree branches) to fall the the ground, revealing the new 2016 forest canopy. || logged_v84_comp.0500_print.jpg (1024x576) [280.1 KB] || logged_v84_comp.0500_searchweb.png (320x180) [100.0 KB] || logged_v84_comp.0500_thm.png (80x40) [6.7 KB] || logged_v84_comp_1080p30.mp4 (1920x1080) [32.8 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || logged_v84_comp_1080p30.webm (1920x1080) [2.6 MB] || logged_v84_comp_1080p30.mp4.hwshow [189 bytes] || ",
            "hits": 30
        },
        {
            "id": 4651,
            "url": "https://svs.gsfc.nasa.gov/4651/",
            "result_type": "Visualization",
            "release_date": "2018-06-12T11:00:00-04:00",
            "title": "Brazilian Rainforest Area Canopy Change 2013-2014-2016",
            "description": "This data visualization starts in 2013 with an airplane collecting lidar data. As the plane flies overhead, the viewer finds themselves amongst the recently collected treetop canopy. The viewer then moves forward through the canopy eventually lifting up to get a birds eye view of the recently collected strip of data points (represented as leaf-like shapes). Areas of change from 2013 to 2014 are then highlighted and the data transitions to what the canopy looked like in 2014. Areas of change between 2014 to 2016 are then highlighted before the data transitions again to what the canopy looked like in 2016. Each successive change allows scientists to carefully monitor the turn over rate of foliage over this three year period. || nologging_v87.0410_print.jpg (1024x576) [85.0 KB] || nologging_v87.0410_searchweb.png (320x180) [51.7 KB] || nologging_v87.0410_thm.png (80x40) [5.1 KB] || nologging_v87_comp_1080p30.mp4 (1920x1080) [46.2 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || nologging_v87_comp_1080p30.webm (1920x1080) [4.3 MB] || nologging_v87_comp_1080p30.mp4.hwshow [192 bytes] || ",
            "hits": 25
        },
        {
            "id": 4652,
            "url": "https://svs.gsfc.nasa.gov/4652/",
            "result_type": "Visualization",
            "release_date": "2018-06-12T11:00:00-04:00",
            "title": "Brazilian Rainforest Canopy Change at Mission Start 2013-2014-2016",
            "description": "This data visualization starts in 2013 with an airplane collecting lidar data. As the plane flies overhead, the stationary viewer finds themselves amongst the recently collected treetop canopy. The viewer then drifts upward getting a better view of the beginning of the data swath. Areas that change between 2013 and 2014 are then highlighted and the data transitions fully to what the canopy looked like in 2014. Next, areas of change between 2014 to 2016 are highlighted and then fully transition to the canopy in 2016. Being able to see this level of change allows scientists to carefully monitor the foliage turnover rate in this remote part of the world. || stillcam5_comp.0690_print.jpg (1024x576) [217.2 KB] || stillcam5_comp.0690_searchweb.png (320x180) [66.4 KB] || stillcam5_comp.0690_thm.png (80x40) [4.3 KB] || stillcam5_comp_1080p30.mp4 (1920x1080) [41.9 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || stillcam5_comp_1080p30.webm (1920x1080) [3.1 MB] || stillcam5_comp_1080p30.mp4.hwshow [188 bytes] || ",
            "hits": 29
        },
        {
            "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": 89
        },
        {
            "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": 101
        },
        {
            "id": 12510,
            "url": "https://svs.gsfc.nasa.gov/12510/",
            "result_type": "Produced Video",
            "release_date": "2017-02-10T14:00:00-05:00",
            "title": "HyspIRI resources",
            "description": "Pilot Stu Broce boards NASA’s high altitude ER-2 aircraft for the Hyperspectral Infrared Imager (HyspIRI) preparatory airborne mission. The aircraft is based at the U.S. Marine Corps Base Hawaii (Kaneohe Bay).Credit: NASA/Mike Agnew || Jan252017_PilotStepUp_4KRaw.00001_print.jpg (1024x576) [118.0 KB] || Jan252017_PilotStepUp_4KRaw.00001_web.png (320x180) [77.0 KB] || Jan252017_PilotStepUp_4KRaw.00001_thm.png (80x40) [6.2 KB] || Jan252017_PilotStepUp_4KRaw.mp4 (3840x2160) [60.7 MB] || Jan252017_PilotStepUp_4KRaw.webm (3840x2160) [5.3 MB] || ",
            "hits": 19
        },
        {
            "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": 57
        },
        {
            "id": 40179,
            "url": "https://svs.gsfc.nasa.gov/gallery/icesat2/",
            "result_type": "Gallery",
            "release_date": "2014-10-15T00:00:00-04:00",
            "title": "ICESat-2",
            "description": "The Ice, Cloud and land Elevation Satellite-2 will measure the height of Earth from space, creating a record of the planet’s elevation in unprecedented detail and precision. With high-resolution data from ICESat-2’s laser altimeter, scientists will track changes to Earth’s polar ice caps – regions that are a harbinger of warming temperatures worldwide. The mission will also take stock of forests, map ocean surfaces, track the rise of cities and measure everything in between. ICESat-2 continues key elevation observations begun by ICESat-1 (2003 to 2009) and Operation IceBridge (2009 through present), to provide a portrait of change in the beginning of the 21st century.\n\nFor more information, please visit the  ICESat-2 website.",
            "hits": 316
        },
        {
            "id": 4162,
            "url": "https://svs.gsfc.nasa.gov/4162/",
            "result_type": "Visualization",
            "release_date": "2014-04-23T10:00:00-04:00",
            "title": "Drought may take a toll on Congo Rainforest, NASA Satellites Show",
            "description": "A new analysis of NASA satellite data shows that Africa's Congo rainforest, the second-largest tropical rainforest in the world, has undergone a large-scale decline in greenness over the past decade.The study, lead by Liming Zhou of University at Albany, State University of New York, shows that between 2000 and 2012, the decline affected an increasing amount of forest area and intensified. The research, published April 23 in Nature, is one of the most comprehensive observational studies to explore the effects of long-term drought on Congolese rainforests using several independent satellite sensors.Scientists use the satellite-derived \"greenness\" of forest regions as one indicator of a forest's health. While this study looks specifically at the impact of a persistent drought in the Congo region since 2000, researchers say that a continued drying trend might alter the composition and structure of the Congo rainforest, affecting its biodiversity and carbon storage.\"It's important to understand these changes because most climate models predict that tropical forests may be under stress due to increasing severe water shortages in a warmer and drier 21st century climate,\" Zhou said.Previous research used satellite-based measurements of vegetation greenness to investigate changes in the Amazon rainforest, notably the effects of severe short-term droughts in 2005 and 2010. Until now, little attention has been paid to African rainforests, where ground measurements are even sparser than in the Amazon and where droughts are less severe but last longer.To clarify the impact of long-term drought on the Congo rainforest, Zhou and colleagues set out to see if they could detect a trend in a satellite measure of vegetation greenness called the Enhanced Vegetation Index. This measure is developed from data produced by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on NASA's Terra satellite. The scientists focused their analysis on intact, forested regions in the Congo basin during the months of April, May and June each year - the first of the area's two peak rainy and growing seasons each year.The study found a gradually decreasing trend in Congo rainforest greenness, sometimes referred to as \"browning,\" suggesting a slow adjustment to the long-term drying trend. This is in contrast to the more immediate response seen in the Amazon, such as large-scale tree mortality, brought about by more episodic drought events.The browning of the forest canopy is consistent with observed decreases in the amount of water available to plants, whether that's in the form of rainfall, water stored in the ground, water in near-surface soils, or water within the vegetation. || ",
            "hits": 60
        },
        {
            "id": 30373,
            "url": "https://svs.gsfc.nasa.gov/30373/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Daytime Land-Surface Temperature",
            "description": "Scientists monitor land-surface temperature because the warmth rising off Earth's landscapes influences our world's weather and climate patterns. Likewise, land surface temperature is also influenced by changes in weather and climate patterns. These maps show monthly daytime land-surface temperatures from February 2000 to the present using thermal infrared measurements made by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The measurements shown here represent the temperature of the \"skin\" (or top 1 millimeter) of the land surface during the daytime—including bare land, snow or ice cover, and cropland or forest canopy—and should not be confused with surface air temperature measurements that are given in a typical weather reports. Yellow shows the warmest temperatures (up to 45 degrees Celsius) and light blue shows the coldest temperatures (down to -25 degrees Celsius). Black means no data. || ",
            "hits": 114
        },
        {
            "id": 30374,
            "url": "https://svs.gsfc.nasa.gov/30374/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Nighttime Land Surface Temperature",
            "description": "Scientists monitor land-surface temperature because the warmth rising off Earth's landscapes influences our world's weather and climate patterns. Likewise, land surface temperature is also influenced by changes in weather and climate patterns. These maps show monthly nighttime land-surface temperatures from February 2000 to the present using thermal infrared measurements made by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA's Terra satellite. The measurements shown here represent the temperature of the \"skin\" (or top 1 millimeter) of the land surface during the nighttime—including bare land, snow or ice cover, and cropland or forest canopy—and should not be confused with surface air temperature measurements that are given in a typical weather reports. Yellow shows the warmest temperatures (up to 45 degrees Celsius) and light blue shows the coldest temperatures (down to -25 degrees Celsius). Black means no data. || ",
            "hits": 37
        },
        {
            "id": 30169,
            "url": "https://svs.gsfc.nasa.gov/30169/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-17T12:00:00-04:00",
            "title": "Tropical Storm Leslie",
            "description": "CloudSat overpassed Tropical Storm Leslie in the Atlantic Ocean on August 31, 2012 at 1653 UTC. Leslie contained maximum sustained winds of 65 mph with a minimum central pressure of 999 mb. CloudSat overpassed directly over a developing cumulonimbus cloud with an overshooting cloud top near the center of the storm. This animation combines Cloudsat imagery with an animation of GOES weather satellite images.Tropical Storm Leslie was moving towards the NW and experiencing moderate shear from the NE (note the lack of cirrus canopy in NE portions of the storm). CloudSat overpassed an area of buoyant tropical convection associated with strong updrafts. The overpass reveals the overshooting cloud tops extending over 17 km into the atmosphere and penetrating the lower stratosphere. The CPR signal attenuates in areas of moderate and heavy rainfall, quite evident in the region of the overshooting cloud top. || ",
            "hits": 20
        },
        {
            "id": 11202,
            "url": "https://svs.gsfc.nasa.gov/11202/",
            "result_type": "Produced Video",
            "release_date": "2013-01-31T16:00:00-05:00",
            "title": "Monitoring Changes in the Chesapeake Bay Watershed",
            "description": "Landsat is a critical and invaluable tool for characterizing the landscape and mapping it over time. Landsat data provides a baseline of observations for science about how human activities on the land affect water quality, affect wildlife habitat, affect air quality. The satellite imagery covers the entire 64,000 square miles of the Chesapeake Bay watershed (spanning six states and the District of Columbia). Without it we wouldn't be able to really understand how sources of nutrients and sediment have changed and where they are in the Chesapeake Bay. The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. The narration in this video is by Peter Claggett, a research geographer with the U.S. Geological Survey's Eastern Geographic Science Center. He has worked at the Chesapeake Bay Program Office since 2002, where he leads the Land Data Team that conducts research on land change characterization, analysis, and modeling in the Chesapeake Bay Watershed. The audio was adapted from a radio interview with EarthSky.org. || ",
            "hits": 45
        },
        {
            "id": 11061,
            "url": "https://svs.gsfc.nasa.gov/11061/",
            "result_type": "Produced Video",
            "release_date": "2012-08-16T00:00:00-04:00",
            "title": "Fishbone Forest",
            "description": "In the rain forest of Rondonia in western Brazil, deforestation has cut a unique fishbone pattern into the landscape that is visible from space. Beginning in the 1970s, farmers and ranchers began to clear land that branched off one main road. As new roads penetrated deeper into the forest, the continued clearing ultimately left a number of orthogonal scars running through the lush canopy. The many forest edges created by this crosshatching fragment the ecosystem and negatively impact biodiversity, even more so than logging that clear-cuts habitat. By the 2000s, connected deforested areas created open spaces now used as farmland and pastures. The visualization shows images of the rain forest captured by USGS-NASA Landsat satellites from 1975 to 2012. || ",
            "hits": 183
        },
        {
            "id": 10926,
            "url": "https://svs.gsfc.nasa.gov/10926/",
            "result_type": "Produced Video",
            "release_date": "2012-03-08T12:00:00-05:00",
            "title": "Evaporation and Transpiration",
            "description": "Much of the water that soaks into the soil from irrigation or rain ultimately returns the the atmosphere as water vapor through direct evaporation from the surface or by transpiration through plant leaves as the plants use the water for growth and seed production. This loss cools the surface and plant canopy just like the evaporation of sweat cools our skin. A cool field in an arid area indicates water use by irrigation. Using the surface temperatures measured by satellites, and some additional information, water resource managers can determine the rate at which water is used in a farm field. || ",
            "hits": 408
        },
        {
            "id": 3656,
            "url": "https://svs.gsfc.nasa.gov/3656/",
            "result_type": "Visualization",
            "release_date": "2009-10-17T00:00:00-04:00",
            "title": "Sea Level Rise \"What Ifs\" in the Southeastern United States",
            "description": "This visualization shows the Southeastern United States with population data over the land. Darker areas over land indicate higher population densities. Sea level scenarios are shown starting with 0 meters of sea level rise (current sea level) and proceeding through 9 meters of rise. Blue areas moving inland indicate where the coastline would be at various levels.We will likely see some sea level rise in our lifetimes, but the middle-to-higher levels in this visualization are unlikely in the next 100 years.This visualization is based on Shuttle Radar Topography Mission (SRTM) data. This data primarily measured canopy heights. So, this visualization is showing where water might reach the tops of the trees in various areas. || ",
            "hits": 22
        },
        {
            "id": 2315,
            "url": "https://svs.gsfc.nasa.gov/2315/",
            "result_type": "Visualization",
            "release_date": "2001-12-20T12:00:00-05:00",
            "title": "Leaf Area Index for Africa September, 2000, through May, 2001",
            "description": "MODIS' observations also allow scientists to track two 'vital signs' of Earth's vegetation. At Boston University, a team of researchers is using MODIS data to create global estimates of the green leaf area of Earth's vegetation and how much sunlight the leaves are absorbing. Called LAI, for 'Leaf Area Index,' and FPAR, for 'Fraction of absorbed Photosynthetically Active Radiation,' both pieces of information are necessary for understanding how sunlight interacts with the Earth's vegetated surfaces-from the top layer, called the canopy, through the understory vegetation, and down to the ground. || ",
            "hits": 18
        },
        {
            "id": 2316,
            "url": "https://svs.gsfc.nasa.gov/2316/",
            "result_type": "Visualization",
            "release_date": "2001-12-20T12:00:00-05:00",
            "title": "Fraction of Photosynthetically Active Radiation for Africa September, 2000, through May, 2001",
            "description": "MODIS' observations also allow scientists to track two 'vital signs' of Earth's vegetation. At Boston University, a team of researchers is using MODIS data to create global estimates of the green leaf area of Earth's vegetation and how much sunlight the leaves are absorbing. Called LAI, for 'Leaf Area Index,' and FPAR, for 'Fraction of absorbed Photosynthetically Active Radiation,' both pieces of information are necessary for understanding how sunlight interacts with the Earth's vegetated surfaces-from the top layer, called the canopy, through the understory vegetation, and down to the ground. || ",
            "hits": 13
        },
        {
            "id": 743,
            "url": "https://svs.gsfc.nasa.gov/743/",
            "result_type": "Visualization",
            "release_date": "1999-09-17T12:00:00-04:00",
            "title": "LVIS Tree Height Cross Section (Tree Texture)",
            "description": "This animation starts with a false-color map of tree heights north of San Jose, Costa Rica, and changes to a close-up 3D cut-away of a section of the forest with simulated green canopy.  Data from LVIS observations taken in March, 1998. || a000743.00005_print.png (720x480) [842.1 KB] || a000743_thm.png (80x40) [7.4 KB] || a000743_pre.jpg (320x242) [16.4 KB] || a000743_pre_searchweb.jpg (320x180) [99.0 KB] || a000743.webmhd.webm (960x540) [5.2 MB] || a000743.dv (720x480) [101.7 MB] || a000743.mp4 (640x480) [5.5 MB] || a000743.mpg (352x240) [3.5 MB] || ",
            "hits": 12
        },
        {
            "id": 744,
            "url": "https://svs.gsfc.nasa.gov/744/",
            "result_type": "Visualization",
            "release_date": "1999-09-17T12:00:00-04:00",
            "title": "LVIS Tree Height Cross Section (false color)",
            "description": "This animation starts with a false-color map of tree heights north of San Jose, Costa Rica, and changes to a close-up 3D cut-away of a section of the forest, also in false color.  Data from LVIS observations taken in March, 1998. || a000744.00005_print.png (720x480) [839.8 KB] || a000744_thm.png (80x40) [7.4 KB] || a000744_pre.jpg (320x242) [16.3 KB] || a000744_pre_searchweb.jpg (320x180) [98.8 KB] || a000744.webmhd.webm (960x540) [6.3 MB] || a000744.mp4 (640x480) [5.2 MB] || a000744.dv (720x480) [94.9 MB] || a000744.mpg (352x240) [3.3 MB] || ",
            "hits": 7
        }
    ]
}