{
    "count": 65,
    "next": null,
    "previous": null,
    "results": [
        {
            "id": 5666,
            "url": "https://svs.gsfc.nasa.gov/5666/",
            "result_type": "Visualization",
            "release_date": "2026-07-30T16:02:00-04:00",
            "title": "Smoke from Record-Breaking Wildfires in Spain and France",
            "description": "Record-breaking wildfires in July 2026 severely impacted European air quality. Watch how NASA’s GEOS model tracks the dramatic transport of wildfire smoke across the continent, alongside two NASA FEDS visualizations showing the rapid expansion of active fire perimeters in Madrid, Spain, and Bordeaux, France.",
            "hits": 2189
        },
        {
            "id": 5557,
            "url": "https://svs.gsfc.nasa.gov/5557/",
            "result_type": "Visualization",
            "release_date": "2025-09-08T16:30:00-04:00",
            "title": "Daily Visualizations of the Largest Wildfires in the United States: 2025",
            "description": "Wildland fires pose significant threats to ecosystems, property, and human lives. Leveraging NASA’s satellite data, advanced models, visualization capacity and computing power, we analyze fire events, monitor how weather conditions impact fires and how regional air quality affects communities. Through this webpage we offer daily updated visualizations of the two largest active wildfires events in the continental United States throughout fire season.",
            "hits": 556
        },
        {
            "id": 5558,
            "url": "https://svs.gsfc.nasa.gov/5558/",
            "result_type": "Animation",
            "release_date": "2025-07-11T12:01:00-04:00",
            "title": "Spread of the Palisades and Eaton Fires - January 2025",
            "description": "These visualizations show the spread of the Palisades and Eaton fires that occurred near Los Angeles, California in January 2025.  This visualization highlights data from a fire detection and tracking approach (Chen et al., 2022) based on near-real time active fire detections from the VIIRS sensor on the Suomi-NPP and NOAA-20 satellites.",
            "hits": 1118
        },
        {
            "id": 5113,
            "url": "https://svs.gsfc.nasa.gov/5113/",
            "result_type": "Visualization",
            "release_date": "2024-03-01T14:00:00-05:00",
            "title": "Active Fires As Observed by VIIRS, 2024-Present",
            "description": "This animated visualization uses a moving five-day window of VIIRS measurments of fire radiative power (FRP), to present a view of fire intensities around the globe. || fires_frp_VIIRS.892_print.jpg (1024x512) [71.9 KB] || fires_frp_VIIRS.892_searchweb.png (320x180) [37.8 KB] || fires_frp_VIIRS.892_web.png (320x160) [33.5 KB] || fires_frp_VIIRS.892_thm.png (80x40) [4.3 KB] || fires_frp_VIIRS_2048p30.mp4 (4096x2048) [46.5 MB] || EIC (4096x2048) [824 Item(s)] || VIIRS_fires_latest.exr [7.0 MB] || ",
            "hits": 499
        },
        {
            "id": 14285,
            "url": "https://svs.gsfc.nasa.gov/14285/",
            "result_type": "Produced Video",
            "release_date": "2023-08-02T00:00:00-04:00",
            "title": "Wildfires 101: How NASA Studies Fires in a Changing World",
            "description": "Complete transcript available.Universal Production Music:  Big Found by Ran Shir [BMI], Rotem Moav [BMI]; Swirling Blizzard by Laurent Dury [SACEM]; Dry Ice by Alessandro Rizzo [PRS], Elliot Greenway Ireland [PRS], Paper Boy [PRS]; Into Motion by Peter Larsen [PRS] This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by Pond5.com 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 || 14285_Thumbnail.jpg (1920x1080) [750.1 KB] || 14285_Thumbnail_print.jpg (1024x576) [330.7 KB] || 14285_Thumbnail_searchweb.png (320x180) [91.0 KB] || 14285_Thumbnail_web.png (320x180) [91.0 KB] || 14285_Thumbnail_thm.png (80x40) [6.5 KB] || 14285_Wildfires101.webm (1920x1080) [40.4 MB] || 14285_Wildfires101.mp4 (1920x1080) [688.0 MB] || 14285_Wildfires101.en_US.srt [7.9 KB] || 14285_Wildfires101.en_US.vtt [7.5 KB] || ",
            "hits": 96
        },
        {
            "id": 5088,
            "url": "https://svs.gsfc.nasa.gov/5088/",
            "result_type": "Visualization",
            "release_date": "2023-06-12T00:00:00-04:00",
            "title": "Tracking the Spread of the Caldor and Dixie Fires",
            "description": "This visualization shows the spread of the Caldor and the Dixie fires in California during the summer of 2021, updated every 12 hours from a new fire detection and tracking approach based on near-real time active fire detections from the VIIRS sensor on the Suomi-NPP satellite.Complete transcript available. || Tracking_the_Caldor_and_Dixie_Fires.03615_print.jpg (1024x576) [296.7 KB] || Tracking_the_Caldor_and_Dixie_Fires.03615_searchweb.png (320x180) [133.9 KB] || Tracking_the_Caldor_and_Dixie_Fires.03615_thm.png (80x40) [7.8 KB] || Tracking_the_Caldor_and_Dixie_Fires.mp4 (1920x1080) [336.4 MB] || Tracking_the_Caldor_and_Dixie_Fires.mp4.en_US.srt [3.9 KB] || Tracking_the_Caldor_and_Dixie_Fires.mp4.en_US.vtt [3.7 KB] || Tracking_the_Caldor_and_Dixie_Fires.mp4.hwshow || ",
            "hits": 182
        },
        {
            "id": 5012,
            "url": "https://svs.gsfc.nasa.gov/5012/",
            "result_type": "Visualization",
            "release_date": "2022-09-13T12:00:00-04:00",
            "title": "Carbon Emissions from Fires: Jan 2003 - Jan 2022",
            "description": "This visualization protrays the weekly carbon emissions from fires between January 2003 and January 2022. A colorbar indicates the quantity of carbon emitted in each square meter during a week. || Carbon_emissions_with_overlay.6067_print.jpg (1024x576) [76.1 KB] || Carbon_emissions_with_overlay.6067_searchweb.png (180x320) [43.2 KB] || Carbon_emissions_with_overlay.6067_thm.png (80x40) [4.4 KB] || Carbon_emissions_with_overlay_p30_1080p30.mp4 (1920x1080) [42.7 MB] || Carbon_emissions_with_overlay_1080p60.mp4 (1920x1080) [42.6 MB] || Carbon_emissions_with_overlay_p30_1080p30.webm (1920x1080) [10.0 MB] || carbon_with_overlay (3840x2160) [256.0 KB] || carbon_with_overlay (3840x2160) [512.0 KB] || Carbon_emissions_with_overlay_p30_2160p30.mp4 (3840x2160) [110.4 MB] || Carbon_emissions_with_overlay_2160p60.mp4 (3840x2160) [109.7 MB] || Carbon_emissions_with_overlay_p30_1080p30.mp4.hwshow [224 bytes] || ",
            "hits": 43
        },
        {
            "id": 14198,
            "url": "https://svs.gsfc.nasa.gov/14198/",
            "result_type": "Produced Video",
            "release_date": "2022-08-11T10:00:00-04:00",
            "title": "Listening to the Amazon: Tracking Deforestation Through Sound",
            "description": "Complete transcript available. || Thumbnail_print.jpg (1024x574) [240.6 KB] || Thumbnail.png (2858x1604) [7.8 MB] || Thumbnail_searchweb.png (320x180) [150.3 KB] || Thumbnail_web.png (320x179) [150.3 KB] || Thumbnail_thm.png (80x40) [12.4 KB] || Sounds_of_the_Amazon_Final.webm (1920x1080) [28.0 MB] || Sounds_of_the_Amazon_Final.mp4 (1920x1080) [353.5 MB] || Transcript_otter_ai.en_US.srt [2.6 KB] || Transcript_otter_ai.en_US.vtt [2.6 KB] || ",
            "hits": 130
        },
        {
            "id": 4992,
            "url": "https://svs.gsfc.nasa.gov/4992/",
            "result_type": "Visualization",
            "release_date": "2022-06-01T09:00:00-04:00",
            "title": "Spread of the Caldor Fire - 2021",
            "description": "This visualization shows the spread of the Caldor fire between August 15 and October 6, 2021, updated every 12 hours based on new satellite active fire detections. The yellow outlines track the position of the active fire lines for the last 60 hours, with the latest location of the fire front in the brightest shade of yellow. The red points show the location of active fire detections, while the grey region shows the estimated total area burned. The graph shows the cumulative burned area in square kilometers.Coming soon to our YouTube channel. || Caldor_fire_2021.6540_print2.jpg (1024x576) [371.6 KB] || Caldor_fire_2021_p30_1080p30.mp4 (1920x1080) [107.8 MB] || Caldor_fire_2021_1080p60.mp4 (1920x1080) [123.2 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || captions_silent.32783.en_US.srt [43 bytes] || Caldor_fire_2021_p30_2160p30.mp4 (3840x2160) [356.4 MB] || Caldor_fire_2021_2160p60.mp4 (3840x2160) [383.8 MB] || firespread02.hwshow || Caldor_fire_2021_p30_1080p30.mp4.hwshow || ",
            "hits": 247
        },
        {
            "id": 4993,
            "url": "https://svs.gsfc.nasa.gov/4993/",
            "result_type": "Visualization",
            "release_date": "2022-06-01T09:00:00-04:00",
            "title": "Spread of the Dixie Fire - 2021",
            "description": "This visualization shows the spread of the Dixie fire between July 14 and October 22, 2021, updated every 12 hours based on new satellite active fire detections. The yellow outlines track the position of the active fire lines for the last 60 hours, with the latest location of the fire front in the brightest shade of yellow. The red points show the location of active fire detections, while the grey region shows the estimated total area burned. The graph shows the cumulative burned area in square kilometers.Coming soon to our YouTube channel. || Dixie_fire_2021.7135_print.jpg (1024x576) [369.5 KB] || Dixie_fire_2021.7135_searchweb.png (320x180) [139.8 KB] || Dixie_fire_2021.7135_thm.png (80x40) [8.3 KB] || Dixie_fire_2021_p30_1080p30.mp4 (1920x1080) [172.9 MB] || Dixie_fire_2021_1080p60.mp4 (1920x1080) [190.8 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || captions_silent.32827.en_US.srt [43 bytes] || Dixie_fire_2021_p30_2160p30.mp4 (3840x2160) [477.6 MB] || Dixie_fire_2021_2160p60.mp4 (3840x2160) [513.8 MB] || Dixie_fire_2021_p30_1080p30.mp4.hwshow || Dixie_fire_animation_only_2021_1080p60.hwshow || ",
            "hits": 276
        },
        {
            "id": 5009,
            "url": "https://svs.gsfc.nasa.gov/5009/",
            "result_type": "Visualization",
            "release_date": "2022-06-01T00:00:00-04:00",
            "title": "Dixie and Caldor Wildfires Locator Maps - 2021",
            "description": "Perimeters of Dixie and Caldor wildfires located in California. The extent of the Dixie wildfire is as of October 22, 2021, while the extent of the Caldor wildfire is as of October 6, 2021. The dropdown menu offers multiple resolutions for a 32:27 aspect ratio. || fires_preview.jpg (1024x864) [167.1 KB] || fires_16000.png (16000x13500) [19.6 MB] || fires_3840.png (3840x3240) [11.1 MB] || fires_16000_searchweb.png (320x180) [71.5 KB] || fires_16000_thm.png (80x40) [5.2 KB] || ",
            "hits": 116
        },
        {
            "id": 31184,
            "url": "https://svs.gsfc.nasa.gov/31184/",
            "result_type": "Hyperwall Visual",
            "release_date": "2022-05-30T11:30:00-04:00",
            "title": "NASA’s New Scientific Breakdown of Dramatic Caldor and Dixie Fires",
            "description": "Complete transcript available. || Caldor_fire_2021.6540_print2.jpg (1024x576) [371.6 KB] || Caldor_fire_2021.6540_print2_searchweb.png (320x180) [132.2 KB] || Caldor_fire_2021.6540_print2_thm.png [7.6 KB] || CCaldor_fire_finLmp4.mp4 (1920x1080) [516.8 MB] || Caldor_fire_3_final.mp4 (1920x1080) [517.1 MB] || Caldor_firefinalmp4_otter_ai.en_US.srt [4.5 KB] || Caldor_firefinalmp4_otter_ai.en_US.vtt [4.5 KB] || ",
            "hits": 130
        },
        {
            "id": 31168,
            "url": "https://svs.gsfc.nasa.gov/31168/",
            "result_type": "Hyperwall Visual",
            "release_date": "2021-12-13T00:00:00-05:00",
            "title": "What NASA Knows from Decades of Earth System Observations",
            "description": "Karen St. Germain, NASA's Director of Earth Science, gave this presentation to the 2021 United Nations Climate Change ConferenceWatch this video on the NASA Goddard YouTube channel. || KarenStGermain_4k_COP26_Presentation_Final_103850_print.jpg (1024x576) [143.2 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_searchweb.png (320x180) [87.7 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_thm.png (80x40) [6.7 KB] || KarenStGermain_HD_COP26_Presentation_Final.webm (1920x1080) [106.3 MB] || KarenStGermain_HD_COP26_Presentation_Final.mp4 (1920x1080) [1008.1 MB] || KarenStGFinal (3840x2160) [0 Item(s)] || transcript_StGermain.en_US.srt [13.6 KB] || transcript_StGermain.en_US.vtt [13.2 KB] || KarenStGermain_4k_COP26_Presentation_Final.mp4 (3840x2160) [7.6 GB] || ",
            "hits": 2799
        },
        {
            "id": 4945,
            "url": "https://svs.gsfc.nasa.gov/4945/",
            "result_type": "Visualization",
            "release_date": "2021-10-01T00:00:00-04:00",
            "title": "Active Fires As Observed by VIIRS, January-September 2021",
            "description": "This animated visualization uses a moving three-day average of summed VIIRS measurments of fire radiative power (FRP), to present a view of fire intensities around the globe. || 2021_wildfire_intensity.1000_print.jpg (1024x576) [122.0 KB] || 2021_wildfire_intensity.1000_searchweb.png (320x180) [44.8 KB] || 2021_wildfire_intensity.1000_thm.png (80x40) [11.2 KB] || 2021_wildfire_intensity (1920x1080) [0 Item(s)] || 2021_wildfire_intensity_1080p30.mp4 (1920x1080) [18.9 MB] || 2021_wildfire_intensity_1080p30.webm (1920x1080) [5.5 MB] || ",
            "hits": 127
        },
        {
            "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": 82
        },
        {
            "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": 90
        },
        {
            "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": 59
        },
        {
            "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": 75
        },
        {
            "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": 130
        },
        {
            "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": 67
        },
        {
            "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": 113
        },
        {
            "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": 157
        },
        {
            "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": 417
        },
        {
            "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": 93
        },
        {
            "id": 4899,
            "url": "https://svs.gsfc.nasa.gov/4899/",
            "result_type": "Visualization",
            "release_date": "2021-04-08T00:00:00-04:00",
            "title": "Active Fires As Observed by VIIRS, 2020",
            "description": "This animated visualization uses a moving three-day average of measured fire radiative power (FRP), summing the 375 m resolution data into one-quarter degree bins, to present a view of fire intensities around the globe. || fires__2020_robinson.00001_print.jpg (1024x576) [69.5 KB] || fires__2020_robinson.00001_searchweb.png (320x180) [34.5 KB] || fires__2020_robinson.00001_thm.png (80x40) [4.4 KB] || fires__2020_robinson.webm (1920x1080) [5.3 MB] || fires__2020_robinson.mp4 (1920x1080) [86.7 MB] || fires__2020_robinson.mp4.hwshow [186 bytes] || ",
            "hits": 231
        },
        {
            "id": 13523,
            "url": "https://svs.gsfc.nasa.gov/13523/",
            "result_type": "Produced Video",
            "release_date": "2020-04-20T13:30:00-04:00",
            "title": "Goddard Earth Science Overview",
            "description": "NASA's Goddard Space Flight Center has the largest collection of Earth scientists on the planet. Their job is to be the nation's trusted source of comprehensive environmental information about the current state and the future of Earth. They build, design, launch and operate scientific missions, including satellites and airborne campaigns, as well as ground campaigns, to understand how the Earth works and how to predict how the Earth will change in the future.Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13523_Goddard_Earth_Science_AGUTV.01840_print.jpg (1024x576) [49.0 KB] || 13523_Goddard_Earth_Science_AGUTV.01840_searchweb.png (180x320) [45.3 KB] || 13523_Goddard_Earth_Science_AGUTV.01840_thm.png (80x40) [4.0 KB] || 13523_Goddard_Earth_Science_AGUTV-prores.mov (1920x1080) [6.0 GB] || 13523_Goddard_Earth_Science_AGUTV-youtube.mp4 (1920x1080) [749.4 MB] || 13523_Goddard_Earth_Science_AGUTV-facebook.mp4 (1920x1080) [563.5 MB] || 13523_Goddard_Earth_Science_AGUTV-twitter.mp4 (1280x720) [101.5 MB] || 13523_Goddard_Earth_Science_AGUTV-youtube.webm (1920x1080) [51.3 MB] || 13523_Goddard_Earth_Science_AGUTV-captions.en_US.srt [9.4 KB] || 13523_Goddard_Earth_Science_AGUTV-captions.en_US.vtt [9.4 KB] || ",
            "hits": 126
        },
        {
            "id": 14190,
            "url": "https://svs.gsfc.nasa.gov/14190/",
            "result_type": "Produced Video",
            "release_date": "2019-11-07T00:00:00-05:00",
            "title": "NASA Explorers | Season Three: Fires",
            "description": "Complete transcript available. || S3_Trailer_Thumbnail.png (2136x1102) [999.3 KB] || S3_Trailer_V2.mov (3840x2160) [2.8 GB] || S3_Trailer_V2.mp4 (3840x2160) [44.3 MB] || S3_Trailer_V2.webm (3840x2160) [9.7 MB] || S3_Trailer_Captions.en_US.srt [846 bytes] || S3_Trailer_Captions.en_US.vtt [858 bytes] || ",
            "hits": 27
        },
        {
            "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": 54
        },
        {
            "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": 126
        },
        {
            "id": 4728,
            "url": "https://svs.gsfc.nasa.gov/4728/",
            "result_type": "Visualization",
            "release_date": "2019-07-11T11:00:00-04:00",
            "title": "Carbon Emissions from Fires: 2003 - 2018",
            "description": "This visualization shows carbon emissions from fires from January 1, 2003 through December 31, 2018.  The colorbar reflects the quantity of carbon emitted. || carbonEmissions_wDate.1687_print.jpg (1024x576) [98.0 KB] || carbonEmissions_wDate.1687_searchweb.png (320x180) [57.2 KB] || carbonEmissions_wDate.1687_thm.png (80x40) [5.4 KB] || carbonEmissions_wDate_1080p30.mp4 (1920x1080) [37.4 MB] || carbonEmission_comp (1920x1080) [0 Item(s)] || carbonEmissions_wDate_1080p30.webm (1920x1080) [6.8 MB] || carbonEmissions_wDate_1080p30.mp4.hwshow [230 bytes] || ",
            "hits": 19
        },
        {
            "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": 413
        },
        {
            "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": 64
        },
        {
            "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": 71
        },
        {
            "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": 92
        },
        {
            "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": 30
        },
        {
            "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": 89
        },
        {
            "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": 117
        },
        {
            "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": 148
        },
        {
            "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": 49
        },
        {
            "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": 83
        },
        {
            "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": 37
        },
        {
            "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": 133
        },
        {
            "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": 438
        },
        {
            "id": 4476,
            "url": "https://svs.gsfc.nasa.gov/4476/",
            "result_type": "Visualization",
            "release_date": "2016-07-28T18:00:00-04:00",
            "title": "Global Terrestrial Water Storage Anomaly (March 2015 - March 2016)",
            "description": "Animation showing Terrestrial Water Storage Anomaly (TWSA) data from March 2015 to March 2016. Shades of orange indicate areas with less ground water than normal and shades of blue are areas with more ground water than normal, which correlates to droughts and floods in these various regions. || globgrace2016.0365_print.jpg (1024x576) [154.1 KB] || globgrace2016.0365_searchweb.png (320x180) [67.2 KB] || globgrace2016.0365_thm.png (80x40) [6.2 KB] || globgrace2016_1080p30.mp4 (1920x1080) [5.8 MB] || globgrace2016_720p30.mp4 (1280x720) [3.2 MB] || dates (1920x1080) [0 Item(s)] || globgrace2016_1080p30.webm (1920x1080) [1.2 MB] || globgrace2016_2160p30.mp4 (3840x2160) [17.0 MB] || globgrace2016_360p30.mp4 (640x360) [1.1 MB] || example_composite (3840x2160) [0 Item(s)] || robinson_projection (3840x2160) [0 Item(s)] || globgrace2016_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 78
        },
        {
            "id": 4477,
            "url": "https://svs.gsfc.nasa.gov/4477/",
            "result_type": "Visualization",
            "release_date": "2016-07-28T18:00:00-04:00",
            "title": "GRACE over Brazil (March 2015 - March 2016)",
            "description": "Example animation showing significant ground water storage loss in the northern half of Brazil. This animation starts with a global view of the Americas, then zooms into the country of Brazil. Finally, monthly GRACE water storage anomaly data from March 2015 to March 2016 are shown. || grace2016.0598_print.jpg (1024x576) [81.8 KB] || grace2016.0598_thm.png (80x40) [5.9 KB] || grace2016.0598_searchweb.png (320x180) [63.1 KB] || grace2016_720p30.mp4 (1280x720) [2.8 MB] || Earth (1920x1080) [0 Item(s)] || Brazil_TWSA_data (1920x1080) [0 Item(s)] || Brazil_label (1920x1080) [0 Item(s)] || Brazil_outlines (1920x1080) [0 Item(s)] || Country_names (1920x1080) [0 Item(s)] || Brazil_mask (1920x1080) [0 Item(s)] || Country_borders (1920x1080) [0 Item(s)] || Example_edit (1920x1080) [0 Item(s)] || grace2016_1080p30.webm (1920x1080) [1.6 MB] || 4477_GRACE_Brazil_2016_youtube_hq.mov (1920x1080) [35.7 MB] || 4477_GRACE_Brazil_2016_appletv.m4v (1280x720) [11.0 MB] || grace2016_1080p30.mp4 (1920x1080) [5.1 MB] || 4477_GRACE_Brazil_2016.mpeg (1280x720) [100.5 MB] || 4477_GRACE_Brazil_2016_prores.mov (1280x720) [413.9 MB] || grace2016_360p30.mp4 (640x360) [1.0 MB] || 4477_GRACE_Brazil_2016_ipod_sm.mp4 (320x240) [3.0 MB] || grace2016_1080p30.mp4.hwshow [183 bytes] || ",
            "hits": 103
        },
        {
            "id": 12325,
            "url": "https://svs.gsfc.nasa.gov/12325/",
            "result_type": "Produced Video",
            "release_date": "2016-07-25T12:00:00-04:00",
            "title": "Wildfires Live Shot July 2016",
            "description": "B-roll that goes along with the following questions:Wildfires have been raging in parts of the US this year. Can you show us the view from space?It’s been an active year around the globe for wildfires. How do fires on the other side of the world affect us?El Nino has dried out the Amazon this year, making it vulnerable to wildfires. What impacts could this have on the Summer Olympics?NASA is doing groundbreaking research around the world to study wildfires. What are we learning?Where can we learn more?Click for NASA's FIRES webpage.Find the latest on Twitter @NASAEarth || 008_B-Roll.00001_print.jpg (1024x576) [85.5 KB] || 008_B-Roll.00001_searchweb.png (320x180) [46.0 KB] || 008_B-Roll.00001_thm.png (80x40) [5.2 KB] || 008_B-Roll.mov (1280x720) [4.3 GB] || 008_B-Roll.mp4 (1280x720) [452.4 MB] || 008_B-Roll.webm (1280x720) [30.5 MB] || ",
            "hits": 113
        },
        {
            "id": 4428,
            "url": "https://svs.gsfc.nasa.gov/4428/",
            "result_type": "Visualization",
            "release_date": "2016-02-19T00:00:00-05:00",
            "title": "2012 Mediterranean Drought",
            "description": "Print resolution image showing less than normal ground water saturation throughout the Mediteranean region on January 15, 2012. This image includes the date and colorbar overlay. || grace_med_comp.3666_print.jpg (1024x576) [172.1 KB] || grace_med_comp.3666_searchweb.png (320x180) [88.0 KB] || grace_med_comp.3666_thm.png (80x40) [13.9 KB] || grace_med_comp.3666.tif (3840x2160) [74.7 MB] || ",
            "hits": 15
        },
        {
            "id": 4413,
            "url": "https://svs.gsfc.nasa.gov/4413/",
            "result_type": "Visualization",
            "release_date": "2016-01-07T00:00:00-05:00",
            "title": "Sea Surface Temperature Anomaly and Terrestrial Water Storage Anomaly Comparison",
            "description": "Animation showing Sea Surface Temperature Anomaly (SSTA) and Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015 simultaneously. For SSTA data, blues indicate temperatures lower than normal and reds are areas warmer than normal. With this data we can see the comings and goings of El Niño and La Niña across the years. For the TWSA data, browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions. Furthermore, terrestrial areas that show significant amounts of low water storage are much more sensitive to wildfires. || grace_w_ssta_rob2.4991_print.jpg (1024x576) [133.2 KB] || grace_w_ssta_rob2.4991_searchweb.png (180x320) [91.1 KB] || grace_w_ssta_rob2.4991_thm.png (80x40) [7.7 KB] || grace_w_ssta_rob2_2x_1080p30.mp4 (1920x1080) [41.8 MB] || composite (1920x1080) [0 Item(s)] || robinson_projection (1920x1080) [0 Item(s)] || dates (1920x1080) [0 Item(s)] || grace_w_ssta_rob2_2x_1080p30.webm (1920x1080) [9.8 MB] || ",
            "hits": 35
        },
        {
            "id": 4415,
            "url": "https://svs.gsfc.nasa.gov/4415/",
            "result_type": "Visualization",
            "release_date": "2016-01-06T00:00:00-05:00",
            "title": "Terrestrial Water Storage Anomaly 2002 - 2015",
            "description": "Animation showing Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015. Browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions.This video is also available on our YouTube channel. || grace_anom_comp_v2.4991_print.jpg (1024x576) [124.4 KB] || grace_anom_comp_v2.4991_searchweb.png (320x180) [70.7 KB] || grace_anom_comp_v2.4991_thm.png (80x40) [6.3 KB] || grace_anom_comp_v2_2x_1080p30.mp4 (1920x1080) [25.8 MB] || grace_anom_comp_v2_2x_1080p30.webm (1920x1080) [8.7 MB] || composite (1920x1080) [0 Item(s)] || robinson_projection (1920x1080) [0 Item(s)] || dates (1920x1080) [0 Item(s)] || grace_anom_comp_v2_2x_1080p30.mp4.hwshow [195 bytes] || ",
            "hits": 39
        },
        {
            "id": 12114,
            "url": "https://svs.gsfc.nasa.gov/12114/",
            "result_type": "Produced Video",
            "release_date": "2016-01-05T11:00:00-05:00",
            "title": "Observing El Niño",
            "description": "Explore how NASA will see this year’s El Niño from the vantage of space. || cf-1024.jpg (1024x576) [105.8 KB] || cf-1024_print.jpg (1024x576) [108.0 KB] || cf-1024_searchweb.png (320x180) [56.5 KB] || cf-1024_web.png (320x180) [56.5 KB] || cf-1024_thm.png (80x40) [17.9 KB] || ",
            "hits": 59
        },
        {
            "id": 4407,
            "url": "https://svs.gsfc.nasa.gov/4407/",
            "result_type": "Visualization",
            "release_date": "2015-12-15T11:00:00-05:00",
            "title": "Monthly burned area from the Global Fire Emissions Database (GFED)",
            "description": "The final animation of the monthly burned area percent shown in the Robinson projection with a colorbar and date overlay || comp_burned_area_pct.2234_print.jpg (1024x576) [128.4 KB] || comp_burned_area_pct.2234_searchweb.png (320x180) [78.4 KB] || comp_burned_area_pct.2234_thm.png (80x40) [6.4 KB] || comp_burned_area_pct.2234_web.png (320x180) [78.4 KB] || comp_burned_area_pct_1080p30.mp4 (1920x1080) [44.1 MB] || comp_burned_area_pct_1080p30.webm (1920x1080) [8.4 MB] || robinson_final (1920x1080) [0 Item(s)] || Comp_burned_area_pct_720p30.mp4 (1280x720) [26.2 MB] || robinson_final (3840x2160) [0 Item(s)] || comp_burned_area_4407.key [29.7 MB] || comp_burned_area_4407.pptx [27.1 MB] || comp_burned_area_pct_4k_2160p30.mp4 (3840x2160) [142.3 MB] || comp_burned_area_pct_1080p30.mp4.hwshow [228 bytes] || ",
            "hits": 75
        },
        {
            "id": 12095,
            "url": "https://svs.gsfc.nasa.gov/12095/",
            "result_type": "Produced Video",
            "release_date": "2015-12-15T10:30:00-05:00",
            "title": "AGU El Nino Press Conference Release Materials",
            "description": "Forty percent of California's annual water supply comes in the form of atmospheric rivers, tendrils of moisture that travel from the Pacific Ocean and rain out when they move over the coast. New research on how El Niño affects atmospheric rivers headed for the California coast suggest that while the number of atmospheric rivers California receives (typically ten per year) will not change during an El Niño, they will be stronger, warmer, and thus wetter. || ",
            "hits": 71
        },
        {
            "id": 12098,
            "url": "https://svs.gsfc.nasa.gov/12098/",
            "result_type": "Produced Video",
            "release_date": "2015-12-14T14:30:00-05:00",
            "title": "Observing the 2015 El Niño",
            "description": "For complete transcript, click here. || 12098-MASTER_youtube_hq_print.jpg (1024x576) [116.7 KB] || 12098-MASTER_youtube_hq_searchweb.png (320x180) [77.2 KB] || 12098-MASTER_youtube_hq_web.png (320x180) [77.2 KB] || 12098-MASTER_youtube_hq_thm.png (80x40) [5.6 KB] || 12098-MASTER.mov (1920x1080) [1.2 GB] || 12098-MASTER_prores.mov (1280x720) [662.4 MB] || 12098-MASTER_youtube_hq.mov (1920x1080) [438.1 MB] || 12098-MASTER_appletv.m4v (1280x720) [46.0 MB] || 12098-MASTER.mpeg (1280x720) [322.5 MB] || 12098-MASTER_youtube_hq.webm (1920x1080) [10.3 MB] || 12098-MASTER_appletv_subtitles.m4v (1280x720) [46.1 MB] || 2015_El_Nino.en_US.srt [1.8 KB] || 2015_El_Nino.en_US.vtt [1.8 KB] || 12098-MASTER_ipod_sm.mp4 (320x240) [16.8 MB] || ",
            "hits": 88
        },
        {
            "id": 11966,
            "url": "https://svs.gsfc.nasa.gov/11966/",
            "result_type": "Produced Video",
            "release_date": "2015-07-31T00:00:00-04:00",
            "title": "A Tale Of Two Extremes Live Shots",
            "description": "The accumulated precipitation product visualized here begins on January 1, 2015 and runs through July 16, 2015. This visualization shows the heavy rainfall throughout Northern Texas and across Oklahoma as well as the drought in Southern California.This video is also available on our YouTube channel. || usa_drought_accum.6400_print.jpg (1024x576) [143.8 KB] || usa_drought_accum.6400_searchweb.png (320x180) [91.0 KB] || usa_drought_accum.6400_thm.png (80x40) [7.0 KB] || usa_drought_accum.6.mp4 (1920x1080) [6.5 MB] || rainfall_only_on_land (1920x1080) [32.0 KB] || usa_drought_accum_w_cbar_comp_1080p30.mp4 (1920x1080) [7.0 MB] || rainfall_only_on_land_with_colorbar (1920x1080) [32.0 KB] || usa_drought_accum.6.webm (1920x1080) [1.5 MB] || ",
            "hits": 35
        },
        {
            "id": 4338,
            "url": "https://svs.gsfc.nasa.gov/4338/",
            "result_type": "Visualization",
            "release_date": "2015-07-30T17:00:00-04:00",
            "title": "Global Terrestrial Water Storage Anomaly",
            "description": "Slow zoom out starting over the United States revealing the rest of the world. || grace_world_anom.6000_print.jpg (1024x576) [118.7 KB] || grace_world_anom.6.mp4 (1920x1080) [3.7 MB] || 1920x1080_16x9_30p (1920x1080) [32.0 KB] || grace_world_anom.6.webm (1920x1080) [896.4 KB] || grace_world_anom.6.mp4.hwshow [45 bytes] || ",
            "hits": 85
        },
        {
            "id": 11633,
            "url": "https://svs.gsfc.nasa.gov/11633/",
            "result_type": "Produced Video",
            "release_date": "2014-09-08T18:00:00-04:00",
            "title": "Mapping Alaska's Forests",
            "description": "NASA and the U.S. Forest Service are surveying the forests of Interior Alaska. The airborne study using an advanced instrument will create a 3D map of the forest composition. This will enable scientists to see patterns of fire recovery and provide a benchmark for assessing future changes to the region.Here is the YouTube video. || ",
            "hits": 44
        },
        {
            "id": 11647,
            "url": "https://svs.gsfc.nasa.gov/11647/",
            "result_type": "Produced Video",
            "release_date": "2014-09-08T00:00:00-04:00",
            "title": "Instagram: Mapping Alaska's Forests",
            "description": "This is a 15-second video explaining why NASA and the U.S. Forest Service are surveying Alaska's forests. NASA and the U.S. Forest Service are surveying the forests of Interior Alaska by plane. An advanced instrument will be used to create a 3D map of the forest composition. This will enable scientists to see patterns of fire recovery and provide a benchmark for future changes to the region. || ",
            "hits": 10
        },
        {
            "id": 11324,
            "url": "https://svs.gsfc.nasa.gov/11324/",
            "result_type": "Produced Video",
            "release_date": "2013-08-20T00:00:00-04:00",
            "title": "Burn Notice",
            "description": "Hot and dry conditions lead to more fires. Those were the findings presented in 2012 by a team of researchers that used NASA satellite data and climate models to predict fire activity in the United States. Now, a new animation shows how dry conditions will cause different parts of the U.S., Canada and Mexico to experience an increased risk of fire by the end of the century. By mapping projected values for a measure of dryness known as the potential evaporation—a calculation that’s based on temperature, rainfall and wind speed estimates—scientists are able to interpret how fire activity will be influenced by future climates. Changes in dryness relative to 1980 levels are shown in the animation using color, where reds represent an increase in dryness and blues represent a decrease. Watch the video to see how dry conditions are expected to spread across North America by the year 2100. || ",
            "hits": 13
        },
        {
            "id": 11335,
            "url": "https://svs.gsfc.nasa.gov/11335/",
            "result_type": "Produced Video",
            "release_date": "2013-08-09T11:00:00-04:00",
            "title": "2013 Wildfires Live Shot Interview",
            "description": "NASA scientist Dr. Doug Morton talks about the 2013 wildfire season as well as future trends for wildfires and how NASA resources are used to help detect and monitor wildfires around the world. || ",
            "hits": 55
        },
        {
            "id": 4095,
            "url": "https://svs.gsfc.nasa.gov/4095/",
            "result_type": "Visualization",
            "release_date": "2013-08-09T00:00:00-04:00",
            "title": "Potential Evaporation in North America Through 2100",
            "description": "This animation shows the projected increase in potential evaporation during the fire season through the year 2100, relative to 1980, based on the combined results of multiple climate models: MERRA data for 1980-2010 and an ensemble of 20 climate models for 2010-2100. The maximum increase across North America is about 1 mm/day by 2100. This concept, potential evaporation, is a measure of drying potential or \"fire weather.\" An average increase of 1 mm/day over the whole year is a big change — 1 mm/day increase in PE is considered to be an \"extreme\" event for fires, similar to the conditions in Colorado in 2012. By these projections, fire years like 2012 would be the new normal in regions like the western US by the end of the 21st century. || ",
            "hits": 244
        },
        {
            "id": 4092,
            "url": "https://svs.gsfc.nasa.gov/4092/",
            "result_type": "Visualization",
            "release_date": "2013-08-08T13:00:00-04:00",
            "title": "Mapping the Fire Intensity Record for the United States (2000 through 2013)",
            "description": "This visualization displays the MODIS Climate Modeling Grid (CMG) Mean Fire Radiative Power (FRP). The CMG fire products incorporate MODIS active fire data into gridded statistical summaries of fire pixel information intended for use in regional and global modeling. The products are currently generated at 0.5 degree spatial resolution. Many of the lower intensity fires shown in red were prescribed fires, lit for either agricultural or ecosystem management purposes. Orange indicates fires that were more intense with the most intense FRP being shown in yellow. Most of these intense fires occurred in the western United States, where lightning and human activity often sparks blazes that firefighters cannot contain. || ",
            "hits": 18
        },
        {
            "id": 4093,
            "url": "https://svs.gsfc.nasa.gov/4093/",
            "result_type": "Visualization",
            "release_date": "2013-08-08T13:00:00-04:00",
            "title": "Mapping the Fire Intensity Global Record (2000 through 2013)",
            "description": "This visualization displays the MODIS Climate Modeling Grid (CMG) Mean Fire Radiative Power (FRP). The CMG fire products incorporate MODIS active fire data into gridded statistical summaries of fire pixel information intended for use in regional and global modeling. The products are currently generated at 0.5 degree spatial resolution. Many of the lower intensity fires shown in red were prescribed fires, lit for either agricultural or ecosystem management purposes. Orange indicates fires that were more intense with the most intense FRP being shown in yellow. Notice, many of the most intense fires occurred in higher latitudes. || ",
            "hits": 121
        },
        {
            "id": 11166,
            "url": "https://svs.gsfc.nasa.gov/11166/",
            "result_type": "Produced Video",
            "release_date": "2013-01-10T10:00:00-05:00",
            "title": "Landsat 8 Overview",
            "description": "The Landsat Data Continuity Mission (LDCM) is a collaboration between NASA and the U.S. Geological Survey that will continue the Landsat Program's 40-year data record of monitoring Earth's landscapes from space. LDCM will expand and improve on that record with observations that advance a wide range of Earth sciences and contribute to the management of agriculture, water and forest resources.The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. The first Landsat satellite launched in 1972 and the next satellite in the series, the Landsat Data Continuity Mission — LDCM, is scheduled to launch on February 11, 2013 || ",
            "hits": 37
        },
        {
            "id": 11159,
            "url": "https://svs.gsfc.nasa.gov/11159/",
            "result_type": "Produced Video",
            "release_date": "2012-12-04T10:00:00-05:00",
            "title": "2012 and the Future of Fire",
            "description": "The U.S. fire season in 2012 was by some measures a record-breaking season. NASA scientist Doug Morton and University of Maryland scientist Louis Giglio discuss the links between climate and wildfires and the likelihood of seeing more extreme fire events in the future.  This page includes a short video discussing these topics, extended interview clips from Giglio and Morton, and visualizations of the 2012 fire season in North America. || ",
            "hits": 63
        },
        {
            "id": 4011,
            "url": "https://svs.gsfc.nasa.gov/4011/",
            "result_type": "Visualization",
            "release_date": "2012-11-28T00:00:00-05:00",
            "title": "United States Active Fires 2012",
            "description": "Records maintained by the National Interagency Fire Center (NIFC) and NASA both indicate that 2012 was an extraordinary year for wildfires in the United States.NIFC statistics show that more than 9.1 million acres had burned as of November 30, 2012—the third highest total in a record that dates back to 1960. Also notable: despite the high number of acres burned in 2012, the total number of fires—55,505—was low, the least on the NIFC record. Average fire size in 2012 was the highest on the record.The visualizations depict fires that burned between January 1 and October 31, 2012, as detected by the MODIS instruments. The fires are displayed over MODIS' vegetation and snow cover data. Yellow and orange indicates fires that were more intense and had a larger area of active burning. Most of these intense fires occurred in the western United States, where lightning and human activity often sparks blazes that firefighters cannot contain. Many of the lower intensity fires shown in red were prescribed fires, lit for either agricultural or ecosystem management purposes.The Terra and Aqua Moderate Resolution Imaging Spectrometer (MODIS) can routinely detect both flaming and smoldering fires that are aproximately 1000 square meters in size. Under pristine and extremely rare observing conditions even smaller flaming fires that are aproximately 50 square meters can be detected. Each active fire location represents the center of a 1 km pixel that is flagged by the algorithm as containing a fire within the pixel. For more information on the fire data, see the MODIS Collection 5 Active Fire Product User's Guide. For more information on the algorithm, see Giglio, L., J. Descloitres, C. O. Justice, and Y. J. Kaufman. 2003. An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, 87:273-282 || ",
            "hits": 49
        }
    ]
}