{ "count": 517, "next": "https://svs.gsfc.nasa.gov/api/search/?keywords=Human+geography&limit=100&offset=100", "previous": null, "results": [ { "id": 5625, "url": "https://svs.gsfc.nasa.gov/5625/", "result_type": "Visualization", "release_date": "2026-03-25T00:00:00-04:00", "title": "GUARDIAN Warns Hawaii Early of Incoming Kamchatka Tsunami", "description": "GUARDIAN is a near-real-time ionospheric monitoring software that uses multi-GNSS total electron content time series to detect natural hazard signatures over the Pacific. Its AI-powered extension, GUARDIAN Scout, automates earthquake and tsunami detection. On July 29, 2025, GUARDIAN detected an incoming tsunami triggered by a magnitude 8.8 Kamchatka earthquake 32 minutes before the earliest tidal gauge detection, demonstrating its life-saving early warning potential.", "hits": 847 }, { "id": 5626, "url": "https://svs.gsfc.nasa.gov/5626/", "result_type": "Visualization", "release_date": "2026-03-25T00:00:00-04:00", "title": "GUARDIAN Warns Hawaii Early of Incoming Kamchatka Tsunami (Vertical version)", "description": "This data visualizaton show the Kamchatka earthquake, soon followed by GUARDIAN stations G027 and QSPP early warning detections. NOAA's MOST simulation then shows the progression of the tsunami waves across the Pacific Ocean. Guardian station KOKB (Hawaii) picks up the incoming tsunami wave followed by Hawaii's tidal gauge detectors.", "hits": 72 }, { "id": 14789, "url": "https://svs.gsfc.nasa.gov/14789/", "result_type": "Produced Video", "release_date": "2025-04-07T11:00:00-04:00", "title": "NASA Earth: Powering America's Future", "description": "Music: Pacemaker Instrumental (Everitt) via Universal Production MusicThis video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by pond5.com is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || 14789_Thumbnail.jpg (1280x720) [156.0 KB] || 14789_Thumbnail_print.jpg (1024x576) [131.1 KB] || 14789_Thumbnail_searchweb.png (320x180) [64.5 KB] || 14789_Thumbnail_web.png (320x180) [64.5 KB] || 14789_Thumbnail_thm.png [5.9 KB] || 14789_NASAEarthPoweringAmericasFuture.mp4 (1920x1080) [274.8 MB] || 14789_NASAEarthPowering.en_US.srt [1.9 KB] || 14789_NASAEarthPowering.en_US.vtt [1.9 KB] || ", "hits": 33 }, { "id": 5315, "url": "https://svs.gsfc.nasa.gov/5315/", "result_type": "Visualization", "release_date": "2024-06-20T00:00:00-04:00", "title": "Daily Experimental Fire Weather Forecast", "description": "Summary", "hits": 74 }, { "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": 0 }, { "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": 170 }, { "id": 14291, "url": "https://svs.gsfc.nasa.gov/14291/", "result_type": "Produced Video", "release_date": "2023-02-11T10:00:00-05:00", "title": "Landsat 8 - A Decade of Service", "description": "L8_Anniversary_Thumb.jpg (1280x720) [449.9 KB] || NASA_L8Anniversary_Final.01584_print.jpg (1024x576) [138.4 KB] || NASA_L8Anniversary_Final.01584_searchweb.png (320x180) [75.8 KB] || NASA_L8Anniversary_Final.01584_thm.png (80x40) [5.7 KB] || NASA_L8Anniversary_Final.01584_web.png (320x180) [75.8 KB] || NASA_L8Anniversary_Final.webm (1920x1080) [72.5 MB] || NASA_L8Anniversary_Final.mp4 (1920x1080) [1.2 GB] || L8Anniv.en_US.srt [13.9 KB] || L8Anniv.en_US.vtt [13.2 KB] || ", "hits": 204 }, { "id": 14286, "url": "https://svs.gsfc.nasa.gov/14286/", "result_type": "Animation", "release_date": "2023-02-10T00:00:00-05:00", "title": "Wildfires101: Animations", "description": "Ingredients of a fire animation with subject-matter expert-approved text. || 14286_ESN-Ingredients-For-A-Fire-text-ProRes.00001_print.jpg (1024x576) [170.9 KB] || 14286_ESN-Ingredients-For-A-Fire-text-ProRes_GIF.gif (1280x720) [105.6 MB] || 14286_ESN-Ingredients-For-A-Fire-text-ProRes.00001_searchweb.png (320x180) [92.3 KB] || 14286_ESN-Ingredients-For-A-Fire-text-ProRes.00001_thm.png (80x40) [7.1 KB] || 14286_ESN-Ingredients-For-A-Fire-text-ProRes_TWITTER.mp4 (1280x720) [6.0 MB] || 14286_ESN-Ingredients-For-A-Fire-text-ProRes.mp4 (3842x2162) [23.9 MB] || 14286_ESN-Ingredients-For-A-Fire-text-ProRes.webm (3842x2162) [6.0 MB] || ", "hits": 80 }, { "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": 387 }, { "id": 14197, "url": "https://svs.gsfc.nasa.gov/14197/", "result_type": "Produced Video", "release_date": "2022-08-08T14:00:00-04:00", "title": "Scientists in the Field", "description": "Video compiliations of NASA scientists and partners working in the field. Available to download. || Researchers in volcanic regions. Footage from GIFT in Hawaii. || Compilation2-MaunaLoa.00015_print.jpg (1024x576) [166.4 KB] || Compilation2-MaunaLoa.00015_searchweb.png (320x180) [102.7 KB] || Compilation2-MaunaLoa.00015_thm.png (80x40) [7.6 KB] || Compilation2-MaunaLoa.webm (3840x2160) [57.4 MB] || Compilation2-MaunaLoa.mp4 (3840x2160) [1.1 GB] || ", "hits": 55 }, { "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": 178 }, { "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": 254 }, { "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": 35 }, { "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": 121 }, { "id": 14056, "url": "https://svs.gsfc.nasa.gov/14056/", "result_type": "Produced Video", "release_date": "2022-03-24T11:00:00-04:00", "title": "NASA Tracks COVID-19’s Atmospheric Fingerprint", "description": "Universal Production Music: The Mysterious Staircase by Brice Davoli [SACEM], Suspended in Time by Brice Davoli [SACEM]Stock Footage: Pond5Complete transcript available. || 14056_Still.jpg (1920x1080) [939.6 KB] || 14056_Still_searchweb.png (320x180) [61.8 KB] || 14056_Still_thm.png (80x40) [5.4 KB] || 14056_Atmo.mov (1920x1080) [3.2 GB] || 14056_Atmo.mp4 (1920x1080) [233.2 MB] || 14056_Twitter_Atmo.mp4 (1280x720) [60.2 MB] || 14056_Twitter_Atmo.webm (1280x720) [24.8 MB] || 14056_atmo.en_US.srt [4.7 KB] || 14056_atmo.en_US.vtt [4.4 KB] || ", "hits": 103 }, { "id": 14066, "url": "https://svs.gsfc.nasa.gov/14066/", "result_type": "Produced Video", "release_date": "2022-01-13T11:00:00-05:00", "title": "Temperature Record 101: How We Know What We Know", "description": "2021 was tied for the sixth warmest year on NASA’s record, stretching more than a century. But, what is a temperature record?GISTEMP, NASA’s global temperature analysis, takes in millions of observations from instruments on weather stations, ships and ocean buoys, and Antarctic research stations, to determine how much warmer or cooler Earth is on average from year to year.Stretching back to 1880, NASA’s record shows a clear warming trend. However, individual weather events and La Niña — a pattern of cooler waters in the Pacific that was responsible for slightly cooling 2021’s average temperature — can affect individual years.Because the record is global, not every place on Earth experienced the sixth warmest year on record. Some places had record-high temperatures, and we saw record droughts, floods and fires around the globe. || ", "hits": 72 }, { "id": 14043, "url": "https://svs.gsfc.nasa.gov/14043/", "result_type": "Produced Video", "release_date": "2021-12-13T14:00:00-05:00", "title": "Tour 2022: NASA's Upcoming Earth Missions", "description": "NASA has a unique view of our planet from space. NASA’s fleet of Earth-observing satellites provide high quality data on different parts of Earth’s interconnected environment from air quality to sea ice. Take a tour of missions launching in 2022, including SWOT, TROPICS, EMIT, and JPSS-2. || ", "hits": 42 }, { "id": 13946, "url": "https://svs.gsfc.nasa.gov/13946/", "result_type": "Produced Video", "release_date": "2021-10-01T15:00:00-04:00", "title": "Landsat 9 Launch Footage", "description": "Video showing the countdown and launch of Landsat 9, on Monday, Sept 27, 2021. The satellite launched at 2:12pm EDT, from Vandenberg Space Force Base in California, riding on and Atlas V rocket. || L9_launch_footage_print.jpg (1280x720) [232.9 KB] || L9_launch_footage_print_searchweb.png (320x180) [70.4 KB] || L9_launch_footage_print_thm.png (80x40) [5.3 KB] || L9_launch_footage.mp4 (1280x720) [42.0 MB] || L9_launch_footage.webm (1280x720) [6.7 MB] || L9_launch_footage-captions.en_US.srt [1.0 KB] || L9_launch_footage-captions.en_US.vtt [997 bytes] || ", "hits": 68 }, { "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": 67 }, { "id": 4826, "url": "https://svs.gsfc.nasa.gov/4826/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Brazil and Novo Progresso Land Use Data Over Time", "description": "This animation begins by showing the similar sizes between the country of Brazil and the United States. It then cycles through over three decades of classification data for the entire Northern half of Brazil. We then zoom down to the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this region changed over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_progressov_finalcomp.2009_print.jpg (1024x576) [287.1 KB] || novo_progressov_finalcomp.2009_searchweb.png (180x320) [105.7 KB] || novo_progressov_finalcomp.2009_thm.png (80x40) [7.3 KB] || novo_progressov_finalcomp_1080p30.mp4 (1920x1080) [48.9 MB] || example_composite (1920x1080) [0 Item(s)] || novo_progressov_finalcomp_1080p30.webm (1920x1080) [7.9 MB] || novo_progressov_finalcomp_1080p30.mp4.hwshow [199 bytes] || ", "hits": 61 }, { "id": 4827, "url": "https://svs.gsfc.nasa.gov/4827/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Novo Progresso Surrounding Region Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this area opened up over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_wide_finalcomp.2009_print.jpg (1024x576) [387.4 KB] || novo_wide_finalcomp.1116_print.jpg (1024x576) [221.0 KB] || novo_wide_finalcomp_1080p30_2.mp4 (1920x1080) [30.2 MB] || novo_wide_finalcomp_1080p30_2.webm (1920x1080) [3.7 MB] || Example_Composite (1920x1080) [0 Item(s)] || novo_wide_finalcomp_1080p30_2.mp4.hwshow [195 bytes] || ", "hits": 87 }, { "id": 4828, "url": "https://svs.gsfc.nasa.gov/4828/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Colider Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Colider and compares its relative size to Northern California. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || colider_finalcomp.2009_print.jpg (1024x576) [548.1 KB] || colider_finalcomp.2009_searchweb.png (320x180) [144.4 KB] || colider_finalcomp.2009_thm.png (80x40) [8.4 KB] || colider_finalcomp_1080p30.mp4 (1920x1080) [40.2 MB] || colider_finalcomp_1080p30.webm (1920x1080) [4.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || colider_finalcomp_1080p30.mp4.hwshow [191 bytes] || ", "hits": 28 }, { "id": 4829, "url": "https://svs.gsfc.nasa.gov/4829/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Ji-Paraná Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Ji Parana and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ji_parana_finalcomp.2009_print.jpg (1024x576) [412.8 KB] || ji_parana_finalcomp.2009_searchweb.png (320x180) [133.8 KB] || ji_parana_finalcomp.2009_thm.png (80x40) [8.2 KB] || ji_parana_finalcomp_1080p30.mp4 (1920x1080) [34.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || ji_parana_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || ji_parana_finalcomp_1080p30.mp4.hwshow [193 bytes] || ", "hits": 51 }, { "id": 4830, "url": "https://svs.gsfc.nasa.gov/4830/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Rio Branco Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Rio Branco and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || rio_branco_finalcomp.2009_print.jpg (1024x576) [331.8 KB] || rio_branco_finalcomp.2009_searchweb.png (320x180) [108.8 KB] || rio_branco_finalcomp.2009_thm.png (80x40) [7.4 KB] || rio_branco_finalcomp_1080p30.mp4 (1920x1080) [24.0 MB] || rio_branco_finalcomp_1080p30.webm (1920x1080) [3.4 MB] || Example_Composite (1920x1080) [0 Item(s)] || rio_branco_finalcomp_1080p30.mp4.hwshow [194 bytes] || ", "hits": 46 }, { "id": 4831, "url": "https://svs.gsfc.nasa.gov/4831/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Uatumã Biological Reserve Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the Uatumã Biological Reserve and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation to show the lake formation over time as well as the increased pasture and croplands to the west of the lake. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || dam_finalcomp.2009_print.jpg (1024x576) [216.7 KB] || dam_finalcomp.2009_searchweb.png (320x180) [80.9 KB] || dam_finalcomp.2009_thm.png (80x40) [5.9 KB] || dam_finalcomp_1080p30.mp4 (1920x1080) [22.1 MB] || Example_Composite (1920x1080) [0 Item(s)] || dam_finalcomp_1080p30.webm (1920x1080) [3.3 MB] || dam_finalcomp_1080p30.mp4.hwshow [187 bytes] || ", "hits": 39 }, { "id": 4832, "url": "https://svs.gsfc.nasa.gov/4832/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Itaituba and Uruara Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region between Itaituba and Uruara and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ruropolis_finalcomp.2009_print.jpg (1024x576) [345.6 KB] || ruropolis_finalcomp.2009_searchweb.png (320x180) [116.9 KB] || ruropolis_finalcomp.2009_thm.png (80x40) [7.6 KB] || ruropolis_finalcomp_1080p30.mp4 (1920x1080) [29.5 MB] || Sample_Composite (1920x1080) [0 Item(s)] || ruropolis_finalcomp_1080p30.webm (1920x1080) [3.5 MB] || ruropolis_finalcomp_1080p30.mp4.hwshow [193 bytes] || ", "hits": 30 }, { "id": 4833, "url": "https://svs.gsfc.nasa.gov/4833/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Northern Brazil Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. While zooming in a little closer an image of the United States fades in to get the relative size of the region. Next we cycle through over three decades of transformation in the region showing land use change over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || brazil_wide_finalcomp.2009_print.jpg (1024x576) [451.8 KB] || brazil_wide_finalcomp.2009_searchweb.png (320x180) [128.6 KB] || brazil_wide_finalcomp.2009_thm.png (80x40) [8.1 KB] || brazil_wide_finalcomp_1080p30.mp4 (1920x1080) [31.3 MB] || Sample_Composite (1920x1080) [0 Item(s)] || brazil_wide_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || brazil_wide_finalcomp_1080p30.mp4.hwshow [195 bytes] || ", "hits": 81 }, { "id": 13694, "url": "https://svs.gsfc.nasa.gov/13694/", "result_type": "Produced Video", "release_date": "2021-04-19T09:00:00-04:00", "title": "Tracking Amazon Deforestation", "description": "The Amazon is the largest tropical rainforest in the world, nearly as big as the continental United States. But every year, less of that forest is still standing. Today's deforestation across the Amazon frontier is tractors and bulldozers clearing large swaths to make room for industrial-scale cattle ranching and crops. Landsat satellite data is used to map land cover in Brazil with a historical perspective, going back to 1984.Music: Organic Circuit by Richard Birkin [PRS]; Into the Atmosphere by Sam Joseph Delves [PRS]; Ethereal Journey by Noé Bailleux [SACEM]; Wildfires by Magnum Opus [ASCAP]; Letter For Tomorrow by Anthony d’Amario [SACEM].Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || Amazon_clearing_poster.jpg (3840x2160) [2.4 MB] || Amazon_clearing_DSC_1491.jpg (6000x4000) [5.3 MB] || Amazon_clearing_poster_searchweb.png (320x180) [88.6 KB] || Amazon_clearing_poster_thm.png (80x40) [5.8 KB] || 13694_Amazon_deforestation_yt.mp4 (1920x1080) [417.9 MB] || 13694_Amazon_deforestation_tw.mp4 (1280x720) [89.4 MB] || 13694_Amazon_deforestation_yt.webm (1920x1080) [45.5 MB] || 13694_Amazon_deforestation-captions.en_US.srt [7.1 KB] || 13694_Amazon_deforestation-captions.en_US.vtt [6.9 KB] || ", "hits": 664 }, { "id": 4900, "url": "https://svs.gsfc.nasa.gov/4900/", "result_type": "Visualization", "release_date": "2021-04-19T00:00:00-04:00", "title": "Novo Progresso Deforestation Soccer Field Comparison", "description": "Animation begins with a stylized bright green soccer field. Soccer fields then fall into place over a recently deforested field showing the estimated size of the newly cleared field. The camera then pulls back to reveal all the recently deforested areas (shown in bright green) around Novo Progresso from 2017 to 2018. || soccer_comp.0700_print.jpg (1024x576) [161.5 KB] || soccer_comp.0700_searchweb.png (320x180) [85.8 KB] || soccer_comp.0700_thm.png (80x40) [14.1 KB] || soccer_2017_2018_1080p30.mp4 (1920x1080) [28.6 MB] || 2017_to_2018 (1920x1080) [0 Item(s)] || soccer_2017_2018_1080p30.webm (1920x1080) [5.7 MB] || soccer_2017_2018_1080p30.mp4.hwshow [190 bytes] || ", "hits": 53 }, { "id": 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": 55 }, { "id": 13145, "url": "https://svs.gsfc.nasa.gov/13145/", "result_type": "Produced Video", "release_date": "2021-03-11T10:50:00-05:00", "title": "Economics of Nature: Mapping Liberia’s Ecosystems to Understand Their Value", "description": "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, Artbeats, and Conservation International is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available.Music Credit: Universal Production Music: In Doubt (Instrumental) by Claire Leona Batchelor [PRS], Find the Truth (Instrumental) by Paul Russell [PRS]Notes on Footage:Provided by Conservation International: 00:00-00:45; 01:03-01:33; 01:53-02:10; 02:12-02:22; 02:57-03:13; 04:00-04:04Stock: 01:33–01:37 provided by ABSTRACTICA/Pond5; 02:10-02:12 provided by Artbeats; 02:22–02:25 provided by Longjourney/Pond5 || Still_Landcovermap.jpg (1920x1080) [580.0 KB] || Still_ConservationInternational.jpg (1920x1080) [925.5 KB] || Still_ConservationInternational_print.jpg (1024x576) [365.3 KB] || Still_ConservationInternational_searchweb.png (320x180) [113.6 KB] || Still_ConservationInternational_web.png (320x180) [113.6 KB] || Still_ConservationInternational_thm.png (80x40) [8.0 KB] || 13145_Quicktime_NASAConservationInternational_1080.mov (1920x1080) [6.3 GB] || 13145_NASAConservationInternational_1080.mp4 (1920x1080) [447.5 MB] || 13145_NASACI_3921.webm (960x540) [109.4 MB] || 13145_Twitter_NASAConservationInternational_720.mp4 (1280x720) [51.3 MB] || 13145_NASAConservationInternational.en_US.srt [4.9 KB] || 13145_NASAConservationInternational.en_US.vtt [4.9 KB] || ", "hits": 29 }, { "id": 13799, "url": "https://svs.gsfc.nasa.gov/13799/", "result_type": "Produced Video", "release_date": "2021-01-14T11:00:00-05:00", "title": "NASA Finds 2020 Tied for Hottest Year on Record", "description": "Globally, 2020 was the hottest year on record, effectively tying 2016, the previous record. Overall, Earth’s average temperature has risen more than 2 degrees Fahrenheit since the 1880s. Temperatures are increasing due to human activities, specifically emissions of greenhouse gases, like carbon dioxide and methane. || ", "hits": 94 }, { "id": 13712, "url": "https://svs.gsfc.nasa.gov/13712/", "result_type": "Produced Video", "release_date": "2020-11-30T11:00:00-05:00", "title": "Landsat 9: Continuing the Legacy series", "description": "Five decades ago, NASA and the US Geological Society launched a satellite to monitor Earth’s land from space. It was the beginning of a legacy. The Apollo era had given us our first looks at Earth from space and inspired the idea of regularly collecting images of our planet. The first Landsat — originally known as the Earth Resources Technology Satellite, or ERTS — rocketed into space in 1972. Since then, there have been eight Landsats and we’re preparing to launch number nine.The Landsat legacy stretches far and wide. Using visible and infrared light, Landsat helps track the health of crops, shows ocean pollution, and tracks coral reefs, icebergs and more. Thanks to sensor that can record wavelengths beyond what we can see with our eyes, Landsat can record vital information about Earth's surface.Narrated by the actor Marc Evan Jackson, who played a Landsat scientist in the movie Kong: Skull Island (2017), this series of videos tells the story of Landsat 9. From the birth of the Landsat program to the present preparations for launching Landsat 9 and even a look to the future with Landsat NeXt. || ", "hits": 84 }, { "id": 13722, "url": "https://svs.gsfc.nasa.gov/13722/", "result_type": "Produced Video", "release_date": "2020-09-21T13:00:00-04:00", "title": "NASA Sees High Temperatures, Wildfires, and Annual Sea Ice Minimum Extent in Warming Arctic", "description": "Music: Curves Ahead by Donn Wilkerson [BMI] and Genetic Analyzer by Le Fat Club [SACEM]Complete transcript available. || Sea_Ice_Thumbnail.jpg (1920x1080) [550.9 KB] || Sea_Ice_Thumbnail_searchweb.png (320x180) [93.9 KB] || Sea_Ice_Thumbnail_thm.png (80x40) [9.2 KB] || Arctic_Sea_Ice_FINAL.mp4 (1920x1080) [741.6 MB] || Arctic_Sea_Ice_FINAL.webm (1920x1080) [41.5 MB] || ArcticSeaIce2020.en_US.srt [6.9 KB] || ArcticSeaIce2020.en_US.vtt [6.9 KB] || ", "hits": 32 }, { "id": 13699, "url": "https://svs.gsfc.nasa.gov/13699/", "result_type": "Produced Video", "release_date": "2020-08-31T11:00:00-04:00", "title": "Tracking Three Decades of Dramatic Glacial Lake Growth", "description": "Music: \"Dew\" by Matthew Nicholson [PRS], Suki Jeanette Finn [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. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || ImjaLake.jpg (1920x1080) [1.2 MB] || ImjaLake_print.jpg (1024x576) [382.8 KB] || ImjaLake_searchweb.png (320x180) [109.6 KB] || ImjaLake_web.png (320x180) [109.6 KB] || ImjaLake_thm.png (80x40) [7.5 KB] || 13699_GlacierLake820.mov (1920x1080) [1.9 GB] || 13699_GlacierLake820.mp4 (1920x1080) [138.4 MB] || 13699_GlacierLake820.webm (1920x1080) [15.0 MB] || GlacierLake820.en_US.srt [2.1 KB] || GlacierLake820.en_US.vtt [2.1 KB] || ", "hits": 79 }, { "id": 13702, "url": "https://svs.gsfc.nasa.gov/13702/", "result_type": "Produced Video", "release_date": "2020-08-27T11:00:00-04:00", "title": "Satellites See Fires Burning Across California", "description": "In August 2020, California is facing several major fires, including the LNU Lightning Complex Fire which grew into the second-largest wildfire in California history. The state's heat waves, droughts, and lightning all played a role in the devastating fire season. || ", "hits": 15 }, { "id": 13652, "url": "https://svs.gsfc.nasa.gov/13652/", "result_type": "Produced Video", "release_date": "2020-06-26T11:00:00-04:00", "title": "NASA Tracks the Arizona Bush Fire", "description": "Music: \"Solar Winds\" by Ben Niblett [PRS] and Jon Cotton [PRS] courtesy of Universal Production Music.Complete transcript available. || BushFire_Still_2.jpg (1920x1080) [680.7 KB] || BushFire_Image.jpg (1920x1080) [917.4 KB] || BushFire_Still_2_print.jpg (1024x576) [255.9 KB] || BushFire_Still_2_searchweb.png (320x180) [84.2 KB] || BushFire_Still_2_web.png (320x180) [84.2 KB] || BushFire_Still_2_thm.png (80x40) [7.7 KB] || 13652_BushFire_Final.mov (1920x1080) [3.7 GB] || 13652_BushFire_Final.mp4 (1920x1080) [211.7 MB] || 13652_BushFire_Final.webm (960x540) [46.5 MB] || BushFire.en_US.srt [2.3 KB] || BushFire.en_US.vtt [2.3 KB] || ", "hits": 28 }, { "id": 4782, "url": "https://svs.gsfc.nasa.gov/4782/", "result_type": "Visualization", "release_date": "2020-03-04T00:00:00-05:00", "title": "Vegetation Index Anomalies and Rift Valley fever (RVF) outbreaks in South Africa region: 2008-2011", "description": "This visualization with corresponding data dashboard shows the relationship between vegetation index anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal vegetaion over land (green) and RVF outbreak locations (orange pins). || NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg (1024x576) [102.7 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_searchweb.png (320x180) [57.8 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_thm.png (80x40) [5.0 KB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [35.6 MB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.webm (1920x1080) [7.1 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || NDVI_RVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [72.6 MB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657.tif (3840x2160) [31.6 MB] || ", "hits": 50 }, { "id": 4783, "url": "https://svs.gsfc.nasa.gov/4783/", "result_type": "Visualization", "release_date": "2020-02-27T00:00:00-05:00", "title": "Precipitation Anomaly and Rift Valley fever (RVF) outbreaks in South Africa: 2008-2011", "description": "This visualization with corresponding data dashboard shows the relationship between precipitation anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal precipitation over land (blue) and RVF outbreak locations (orange pins). || PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg (1024x576) [97.8 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_searchweb.png (320x180) [57.6 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_thm.png (80x40) [5.2 KB] || PrecipRVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [31.5 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || PrecipRVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [68.2 MB] || PrecipRVF_SAfrica_Composite_3840x2160_3422.tif (3840x2160) [4.0 MB] || PrecipRVF_SAfrica_Composite_3840x2160_p30.webm (3840x2160) [14.1 MB] || ", "hits": 53 }, { "id": 4724, "url": "https://svs.gsfc.nasa.gov/4724/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in Africa and Middle East during 2000-2018", "description": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution. || Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg (1024x576) [78.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_searchweb.png (320x180) [48.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_thm.png (80x40) [4.4 KB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.mp4 (1920x1080) [88.7 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.webm (1920x1080) [25.5 MB] || Africa_NDVIRVF_2000_2018_Composite (3840x2160) [0 Item(s)] || Africa_NDVIRVF_2000_2018_3840x2160_2430.tif (3840x2160) [6.0 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_p30.mp4 (3840x2160) [283.2 MB] || ", "hits": 43 }, { "id": 4747, "url": "https://svs.gsfc.nasa.gov/4747/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in South Africa during 2009-2011", "description": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution. || SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg (1024x576) [86.2 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_searchweb.png (320x180) [56.0 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_thm.png (80x40) [4.5 KB] || SAfrica_NDVIRVFComposite_1080p30.mp4 (1920x1080) [31.6 MB] || SAfrica_NDVIRVFComposite_1080p30.webm (1920x1080) [7.0 MB] || Composite (3840x2160) [0 Item(s)] || SAfrica_NDVIRVFwDates_3840x2160_1263.tif (3840x2160) [7.6 MB] || SAfrica_NDVIRVFComposite_3840x2160_p30.mp4 (3840x2160) [96.4 MB] || ", "hits": 37 }, { "id": 4784, "url": "https://svs.gsfc.nasa.gov/4784/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "ENSO Teleconnections and Rift Valley fever (RVF) Outbreaks", "description": "During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Index Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa. || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960_print.jpg (1024x576) [107.8 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_searchweb.png (320x180) [63.0 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_thm.png (80x40) [6.5 KB] || ENSO_Teleconnections (1920x1080) [0 Item(s)] || SST_Precip_NDVI_Dashboard_2008_2011_1920x1080_p30.mp4 (1920x1080) [22.7 MB] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.mp4 (3840x2160) [56.0 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.webm (3840x2160) [10.2 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960.tif (3840x2160) [3.4 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525.tif (3840x2160) [3.4 MB] || ", "hits": 53 }, { "id": 13543, "url": "https://svs.gsfc.nasa.gov/13543/", "result_type": "Produced Video", "release_date": "2020-02-12T10:00:00-05:00", "title": "Landsat: Farming Data From Space", "description": "Landsat satellites have been gathering data for 48 years, equipping scientists and farmers to answer big questions about how to improve agriculture around the world. From tracking crop production, assessing crop health, and monitoring water use, Landsat data provides tangible benefits to the USA and the world. Landsat satellites are built and lauched by NASA, and operated by USGS. Complete transcript available.Music: \"Lines of Enquiry\" by Theo Golding [PRS], published by Atmosphere Music [PRS]Watch this video on the NASA Goddard YouTube channel. || LandsatAg-Thumbnail.png (1920x1080) [4.0 MB] || LandsatAg-Thumbnail_print.jpg (1024x576) [166.3 KB] || LandsatAg-Thumbnail_searchweb.png (320x180) [109.3 KB] || LandsatAg-Thumbnail_thm.png (80x40) [6.6 KB] || LandsatAg-FINAL.mov (1920x1080) [3.2 GB] || LandsatAg-FINAL_youtube_1080.mp4 (1920x1080) [148.1 MB] || LandsatAg-FINAL_facebook_720.mp4 (1280x720) [110.9 MB] || LandsatAg-FINAL_twitter_720.mp4 (1280x720) [20.1 MB] || LandsatAg-FINAL.webm (960x540) [39.3 MB] || LandsatAg-FINAL-captions.en_US.srt [1.8 KB] || LandsatAg-FINAL-captions.en_US.vtt [1.8 KB] || ", "hits": 138 }, { "id": 4785, "url": "https://svs.gsfc.nasa.gov/4785/", "result_type": "Visualization", "release_date": "2020-01-09T00:00:00-05:00", "title": "Sea Surface Temperature Anomalies and Patterns of Global Disease Outbreaks: 2009-2018 (4K version)", "description": "This webpage provides the 4K version of: Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated), released on January 6, 2020.Content has been created for 4K display systems that can handle finer resolution and details. It is recommended to use content from this version for HD (1920x1080) and lower resolutions. || ", "hits": 108 }, { "id": 4781, "url": "https://svs.gsfc.nasa.gov/4781/", "result_type": "Visualization", "release_date": "2020-01-06T00:00:00-05:00", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated)", "description": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. || CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg (1024x576) [135.9 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_searchweb.png (320x180) [82.6 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_thm.png (80x40) [7.1 KB] || Composite_StrongElNino (1920x1080) [0 Item(s)] || Composite_StrongElNino (1920x1080) [0 Item(s)] || CompositeWLabel_2009_2018_1920x1080_p30.mp4 (1920x1080) [22.1 MB] || CompositeWLabel_2009_2018_1920x108060fps_1705.tif (1920x1080) [1.3 MB] || CompositeWLabel_2009_2018_1920x1080_p30.webm (1920x1080) [4.6 MB] || CompositeWLabel_2009_2018_1920x1080_p30.mp4.hwshow [205 bytes] || ", "hits": 144 }, { "id": 4765, "url": "https://svs.gsfc.nasa.gov/4765/", "result_type": "Visualization", "release_date": "2019-12-10T00:00:00-05:00", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018", "description": "El Niño is an irregularly recurring climate pattern characterized by warmer than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions. This visualization captures monthly Sea Surface Temperature (SST) anomalies around the world from 2009-2018, along with locations of global disease outbreaks and a corresponding timeline showcasing the Niño 3.4 Index. The Niño 3.4 Index represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the above average El Niño years, in which sea surface temperature anomalies peaked during 2015-2016. || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg (1024x576) [130.6 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_searchweb.png (320x180) [79.7 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_thm.png (80x40) [7.0 KB] || Composite (1920x1080) [0 Item(s)] || Composite (1920x1080) [0 Item(s)] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4 (1920x1080) [23.0 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769.tif (1920x1080) [1.3 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.webm (1920x1080) [4.7 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4.hwshow [211 bytes] || ", "hits": 174 }, { "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": 32 }, { "id": 13329, "url": "https://svs.gsfc.nasa.gov/13329/", "result_type": "Produced Video", "release_date": "2019-09-27T12:45:00-04:00", "title": "OLI-2 ships to Northrop Grumman", "description": "The Operational Land Imager 2, or OLI-2, will detect visible and infrared light from Earth's surface, providing data on our changing planet. OLI-2 was built and tested at Ball Aerospace in Boulder, Colorado. Landsat 9, a partnership between NASA and the U.S. Geological Survey, is a series of satellites that began with Landsat 1 in 1972.Music: Bit Streaming, composed by David Edwards [ASCAP], published by Soundcast Music [SESAC] Complete transcript available. || 13329_OLI-2_Ships_still.jpg (1920x1080) [555.8 KB] || 13329_OLI-2_Ships_still_searchweb.png (320x180) [110.3 KB] || 13329_OLI-2_Ships_still_thm.png (80x40) [8.5 KB] || 13329_OLI-2_Ships_large.webm (1920x1080) [19.2 MB] || 13329_OLI-2_Ships_large.mp4 (1920x1080) [217.5 MB] || 13329_OLI-2_ships-captions.en_US.srt [1.4 KB] || 13329_OLI-2_ships-captions.en_US.vtt [1.4 KB] || 13329_OLI-2_Ships_MASTER.mov (1920x1080) [3.5 GB] || ", "hits": 37 }, { "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": 21 }, { "id": 13284, "url": "https://svs.gsfc.nasa.gov/13284/", "result_type": "Produced Video", "release_date": "2019-08-16T11:00:00-04:00", "title": "Students Work with NASA to Forecast Dust Storms", "description": "Four Maryland high school students were inspired by a documentary to find a way to let people know when a potentially hazardous dust storm is incoming. Using National Weather Service forecasts improved by NASA data, their Dust Watch app alerts people about incoming dust storms. || ", "hits": 24 }, { "id": 13281, "url": "https://svs.gsfc.nasa.gov/13281/", "result_type": "Produced Video", "release_date": "2019-08-13T11:00:00-04:00", "title": "NASA Studies How Arctic Fires Change the World", "description": "Music: Stepping Stone Bridge by Timothy Michael Hammond [PRS], Wayne Roberts [PRS]Watching Ladybirds by Benjamin James Parsons [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 and Artbeats is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html. Complete transcript available. || Thumbnail_Arctic_Fires_Print.jpg (1920x1080) [917.1 KB] || Thumbnail_Arctic_Fires_Print_searchweb.png (320x180) [121.3 KB] || Thumbnail_Arctic_Fires_Print_thm.png (80x40) [8.0 KB] || 13281_Arctic_Fires_720.mp4 (1280x720) [265.3 MB] || 13281_Arctic_Fires.mov (1920x1080) [3.5 GB] || 13281_Arctic_Fires.webm (1920x1080) [21.2 MB] || 13281_Arctic_Fires.en_US.srt [4.1 KB] || 13281_Arctic_Fires.en_US.vtt [4.0 KB] || ", "hits": 114 }, { "id": 13262, "url": "https://svs.gsfc.nasa.gov/13262/", "result_type": "Produced Video", "release_date": "2019-07-22T11:00:00-04:00", "title": "NASA and NOAA Take to the Air to Chase Smoke", "description": "Music: Broad Horizons by Chris White [PRS]Complete transcript available. || Still.png (1773x995) [3.3 MB] || Still_print.jpg (1024x574) [163.4 KB] || Still_searchweb.png (320x180) [119.4 KB] || Still_thm.png (80x40) [7.0 KB] || TWITTER_720_13692_FIREExKickoff_twitter_720.mp4 (1280x720) [27.0 MB] || 13692_FIREExKickoff.webm (960x540) [44.5 MB] || 13262_FIREExKickoff.mov (1920x1080) [1.4 GB] || YOUTUBE_1080_13692_FIREExKickoff_youtube_1080.mp4 (1920x1080) [207.3 MB] || 13262_FIREEx.en_US.srt [2.9 KB] || 13262_FIREEx.en_US.vtt [2.9 KB] || ", "hits": 178 }, { "id": 4741, "url": "https://svs.gsfc.nasa.gov/4741/", "result_type": "Visualization", "release_date": "2019-07-19T00:00:00-04:00", "title": "Active Fires As Observed by VIIRS, 2012-2018", "description": "Global Fires, 2012-2018 || fires_BT.0001_print.jpg (1024x576) [58.5 KB] || fires_BT.0001_searchweb.png (320x180) [36.5 KB] || fires_BT.0001_thm.png (80x40) [4.4 KB] || fires_BT_1080p30.mp4 (1920x1080) [21.7 MB] || w_dates (1920x1080) [0 Item(s)] || fires_BT_1080p30.webm (1920x1080) [11.8 MB] || ", "hits": 32 }, { "id": 4729, "url": "https://svs.gsfc.nasa.gov/4729/", "result_type": "Visualization", "release_date": "2019-07-18T00:00:00-04:00", "title": "FIREX-AQ Prelaunch Data Visualization", "description": "This data visualization starts with an overview of the United States west coast. As we zoom into several California wildfires, MODIS data dissolves in to show some of the low-lying smoke resulting from these fires. The camera then pans across the United States, slowly revealing CALIPSO swath passes as they dissect the atmosphere. Throughout most of the journey CALIPSO picks up many aerosol signatures as shown in the more opaque portions of the curtain. || firex_comp2.0400_print.jpg (1024x576) [167.7 KB] || firex_comp2.0400_searchweb.png (320x180) [119.9 KB] || firex_comp2.0400_thm.png (80x40) [7.4 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || firex_comp2_1080p30.webm (1920x1080) [12.0 MB] || firex_comp2_1080p30.mp4 (1920x1080) [100.7 MB] || firex_comp2_1080p30.mp4.hwshow [185 bytes] || ", "hits": 66 }, { "id": 13257, "url": "https://svs.gsfc.nasa.gov/13257/", "result_type": "Produced Video", "release_date": "2019-07-11T13:00:00-04:00", "title": "Through Smoke and Fire, NASA Searches for Answers", "description": "Music: End of the Quarter by Austin JordanComplete transcript available. || Fires_Kickoff_Thumbnail.png (1920x1080) [3.0 MB] || Fires_Kickoff_Thumbnail_print.jpg (1024x576) [97.9 KB] || Fires_Kickoff_Thumbnail_searchweb.png (320x180) [101.6 KB] || Fires_Kickoff_Thumbnail_thm.png (80x40) [6.4 KB] || Fires_Kickoff_V1.mov (1920x1080) [673.6 MB] || Fires_Kickoff_V2.mp4 (1920x1080) [51.1 MB] || Fires_Kickoff_V1.webm (1920x1080) [5.8 MB] || Fires_Kickoff_V2.en_US.srt [767 bytes] || Fires_Kickoff_V2.en_US.vtt [779 bytes] || ", "hits": 14 }, { "id": 13253, "url": "https://svs.gsfc.nasa.gov/13253/", "result_type": "Produced Video", "release_date": "2019-07-09T10:50:00-04:00", "title": "A Drier Future Sets the Stage for More Wildfires", "description": "Music: Motion Blur by Sam Dodson, Spring Into Life by Oliver Worth, and Critical Pathway by Rik Carter. Complete transcript available. || Camp_Fire_oli_2018312_Landsat.jpg (3017x2011) [1.3 MB] || Camp_Fire_oli_2018312_Landsat_searchweb.png (320x180) [119.1 KB] || Camp_Fire_oli_2018312_Landsat_thm.png (80x40) [7.6 KB] || DroughtsFires_V2.webm (1920x1080) [17.2 MB] || DroughtsFires_V2.mp4 (1920x1080) [158.2 MB] || DroughtsFires_V2.en_US.srt [2.7 KB] || DroughtsFires_V2.en_US.vtt [2.7 KB] || DroughtsFires_V2.mov (1920x1080) [3.2 GB] || ", "hits": 89 }, { "id": 13152, "url": "https://svs.gsfc.nasa.gov/13152/", "result_type": "Produced Video", "release_date": "2019-02-28T12:30:00-05:00", "title": "2015-2016 El Niño Triggered Disease Outbreaks Across the Globe", "description": "Music: Under Offer by Peter Keith Yelland-BrownComplete transcript available. || ENSO_Dengue_Thumbnail.png (1920x1080) [3.2 MB] || ENSO_Dengue_Thumbnail_print.jpg (1024x576) [143.5 KB] || ENSO_Dengue_Thumbnail_searchweb.png (320x180) [88.1 KB] || ENSO_Dengue_Thumbnail_thm.png (80x40) [6.2 KB] || ENSO_Dengue_FINAL_lowres.mp4 (1280x720) [39.4 MB] || ENSO_Dengue_FINAL_lowres.webm (1280x720) [16.2 MB] || ENSO_Dengue_Captions.en_US.srt [2.6 KB] || ENSO_Dengue_Captions.en_US.vtt [2.6 KB] || ENSO_Dengue_FINAL.mov (1920x1080) [3.9 GB] || ", "hits": 70 }, { "id": 4693, "url": "https://svs.gsfc.nasa.gov/4693/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Precipitation Anomaly and Dengue Outbreaks in South East Asia: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between precipitation anomaly in Southeast Asia and dengue outbreaks. Drier than normal habitats drew mosquitoes into populated, urban areas containing the open water needed for laying eggs. As the air warmed, mosquitoes also grew hungrier and reached sexual maturity more quickly, resulting in an increase in mosquito bites. || SEAsia_PrecipDengueComposite_1920x1080_1211_print.jpg (1024x576) [75.8 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_searchweb.png (320x180) [52.9 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_thm.png (80x40) [5.4 KB] || SEAsia_PrecipDengueComposite_1920x1080_p30.webm (1920x1080) [6.4 MB] || SEAsia_PrecipDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_PrecipDengueComposite_1920x1080_p30.mp4 (1920x1080) [14.8 MB] || SEAsia_PrecipDengueComposite_1920x1080_1211.tif (1920x1080) [1.5 MB] || SEAsia_PrecipDengueComposite (3840x2160) [0 Item(s)] || ", "hits": 101 }, { "id": 4695, "url": "https://svs.gsfc.nasa.gov/4695/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Niño 3.4 Index and Sea Surface Temperature Anomaly Timeline: 1982-2017", "description": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016. || NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg (1024x576) [104.9 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_searchweb.png (320x180) [72.1 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_thm.png (80x40) [6.8 KB] || SST_Nino3.4Index_1982_2017_Composite (1920x1080) [0 Item(s)] || NINO3.4SST_FlatMapComposite_1920x1080_p30.mp4 (1920x1080) [57.2 MB] || NINO3.4SST_FlatMapComposite_1920x1080_00932.tif (1920x1080) [1.4 MB] || NINO3.4SST_FlatMapComposite_1920x1080_p30.webm (1920x1080) [9.3 MB] || SSTNino3.4Index_1982_2017_Composite (3840x2160) [0 Item(s)] || ", "hits": 750 }, { "id": 4696, "url": "https://svs.gsfc.nasa.gov/4696/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Land Surface Temperature Anomaly and Dengue Outbreaks in South East Asia Region: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between land surface temperature anomaly in Southeast Asia and dengue outbreaks. Higher than normal land surface temperatures results in an increase of dengue reported locations. || SEAsia_LSTDiseases_1920x1080_1730_print.jpg (1024x576) [85.1 KB] || SEAsia_LSTDiseases_1920x1080_1730_searchweb.png (320x180) [54.4 KB] || SEAsia_LSTDiseases_1920x1080_1730_thm.png (80x40) [5.3 KB] || SEAsia_LSTDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_LSTDiseases_1920x1080_p30.mp4 (1920x1080) [33.8 MB] || SEAsia_LSTDiseases_1920x1080_1730.tif (1920x1080) [1.7 MB] || SEAsia_LSTDiseases_1920x1080_p30.webm (1920x1080) [6.2 MB] || SEAsia_LSTDengue_Composite (3840x2160) [0 Item(s)] || ", "hits": 34 }, { "id": 4697, "url": "https://svs.gsfc.nasa.gov/4697/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "ENSO teleconnections in South East Asia for the period of 2015-2016", "description": "The 2015-2016 strong El Niño event brought changes to weather conditions across the globe that triggered regional infectious disease outbreaks, including mosquito-borne dengue fever in South East Asia. This visualization with corresponding multi-plot graph shows how Sea Surface Temperature anomalies in the equatorial Pacific Ocean (left), resulted in anomalous drought conditions (center) and increase in land surface temperatures (right) in South East Asia. During the 2015-2016 El Niño event, the South East Asia region received below than normal precipitation resulting in drier and warner than normal conditions, which increased the populations of mosquito vectors in urban areas, where there are open water storage containers providing ideal habitats for mosquito production. In addition, the higher than normal temperature on land shortens the maturation time of larvae to adult mosquitos and induces frequent blood feeding/biting of humans by mosquito vectors resulting in the amplification of dengue disease outbreaks over the South East Asia region. || SST_LST_Precip_2014_2016_Comp_print.jpg (1024x576) [82.9 KB] || SST_LST_Precip_2014_2016_Comp_searchweb.png (320x180) [51.5 KB] || SST_LST_Precip_2014_2016_Comp_thm.png (80x40) [6.0 KB] || SST_Precip_LST_Plot_Composite (1920x1080) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4 (1920x1080) [9.7 MB] || SST_LST_Precip_2014_2016_Comp.tif (1920x1080) [1.1 MB] || SST_LST_Precip_2014_2016_Comp_1080p30.webm (1920x1080) [4.2 MB] || TeleconnectionsSEAsia (3840x2160) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4.hwshow [203 bytes] || ", "hits": 235 }, { "id": 12667, "url": "https://svs.gsfc.nasa.gov/12667/", "result_type": "Produced Video", "release_date": "2018-06-28T00:00:00-04:00", "title": "NASA Rainfall Data and Global Fire Weather", "description": "Additional footage courtesy of Greenpeace.Music: \"Vulnerable Moment,\" John Ashton Thomas, Atmosphere Music Ltd.; \"Inducing Waves,\" Ben Niblett and Jon Cotton, Atmosphere Music Ltd.Complete transcript available. || fires_thumb_print.jpg (1024x578) [88.2 KB] || fires_thumb_searchweb.png (320x180) [93.8 KB] || fires_thumb_thm.png (80x40) [7.0 KB] || Fires_GPM_prores.mov (1920x1080) [3.7 GB] || Fires_GPM_facebook_720.mp4 (1280x720) [385.5 MB] || Fires_GPM_large.mp4 (1920x1080) [271.4 MB] || Fires_GPM_twitter_720.mp4 (1280x720) [60.4 MB] || Fires_GPM_youtube_720.mp4 (1280x720) [513.6 MB] || Fires_GPM_youtube_1080.mp4 (1920x1080) [526.2 MB] || Fires_GPM_prores.webm (1920x1080) [30.3 MB] || 12667_Fires.en_US.srt [5.2 KB] || 12667_Fires.en_US.vtt [5.2 KB] || ", "hits": 51 }, { "id": 12851, "url": "https://svs.gsfc.nasa.gov/12851/", "result_type": "Produced Video", "release_date": "2018-02-09T10:00:00-05:00", "title": "5th Anniversary of Landsat 8's Launch", "description": "In its five years in space, Landsat 8 made 26,500 orbits around Earth and captured 1.1 million \"scenes\" of our home planet, representing 16 percent of all the observations kept in the 45-year Landsat archive.Music: Divine Punishment by Christopher Franke [BMI]Complete transcript available. || 12851_Landsat8_5_year_large.01975_print.jpg (1024x576) [50.2 KB] || 12851_Landsat8_5_year_large.01975_searchweb.png (320x180) [7.1 KB] || 12851_Landsat8_5_year_large.01975_thm.png (80x40) [1.4 KB] || 12851_Landsat8_5_year_prores_1920.mov (1920x1080) [4.7 GB] || 12851_Landsat8_5_year_prores_1280.mov (1280x720) [2.5 GB] || 12851_Landsat8_5_year_large.mp4 (1920x1080) [191.3 MB] || 12851_Landsat8_5_year_youtube_1080.mp4 (1920x1080) [327.2 MB] || 12851_Landsat8_5_year_youtube_720.mp4 (1280x720) [315.6 MB] || 12851_Landsat8_5_year_twitter_720.mp4 (1280x720) [53.5 MB] || 12851_Landsat8_5_year.webm (960x540) [76.4 MB] || 12851_Landsat8_5_year-captions.en_US.srt [3.8 KB] || 12851_Landsat8_5_year-captions.en_US.vtt [3.8 KB] || ", "hits": 87 }, { "id": 12603, "url": "https://svs.gsfc.nasa.gov/12603/", "result_type": "Produced Video", "release_date": "2017-09-13T11:00:00-04:00", "title": "Predicting Malaria Outbreaks With NASA Satellites", "description": "In the Amazon Rainforest, few animals are as dangerous to humans as mosquitos that transmit malaria. The tropical disease can bring on severe fever, headaches and chills and is particularly severe for children and the elderly and can cause complications for pregnant women. In rainforest-covered Peru the number of malaria cases has spiked such that, in the past five years, it has had on average the second highest rate in the South American continent. In 2014 and 2015 there were 65,000 reported cases in the country.Containing malaria outbreaks is challenging because it is difficult to figure out where people are contracting the disease. As a result, resources such as insecticide-treated bed nets and indoor sprays are often deployed to areas where few people are getting infected, allowing the outbreak to grow.To tackle this problem, university researchers have turned to data from NASA’s fleet of Earth-observing satellites, which are able to track the types of human and environmental events that typically precede an outbreak. With funding from NASA’s Applied Sciences Program, they are working in partnership with the Peruvian government to develop a system that uses satellite and other data to help forecast outbreaks at the household level months in advance and prevent outbreaks.Additional imagery from: Christopher B. Plunkett FortJames GathanyFábio Medeiros da Costa || ", "hits": 35 }, { "id": 30162, "url": "https://svs.gsfc.nasa.gov/30162/", "result_type": "Hyperwall Visual", "release_date": "2017-09-01T12:00:00-04:00", "title": "Devastation and Recovery of Mt. St. Helens", "description": "In the nearly four decades since the eruption (1980), Mt. St. Helens has given scientists an unprecedented opportunity to witness the steps through which life reclaims a devastated landscape. The scale of the eruption and the beginning of reclamation in the Mt. St. Helens blast zone are documented in this series of images between 1979 and 2017. The older images are false-color (vegetation is red). Not surprisingly, the first noticeable recovery (late 1980s) takes place in the northwestern quadrant of the blast zone, farthest from the volcano. It is another decade (late 1990s) before the terrain east of Spirit Lake is considerably greener. By the end of the series, the only area (beyond the slopes of the mountain itself) that remains conspicuously bare at the scale of these images is the Pumice Plain. || ", "hits": 83 }, { "id": 11761, "url": "https://svs.gsfc.nasa.gov/11761/", "result_type": "Produced Video", "release_date": "2017-07-21T13:00:00-04:00", "title": "Land Changes in Atchafalaya Bay", "description": "Since 1972, Landsat satellites have orbited our home planet, collecting data about the land surface we rely on. This video shows footage of the launch of the first Landsat satellite, on July 23, 1972, and a timelapse of the changing coastal wetlands in Atchafalaya Bay, Louisiana.Music credit: Step By Step, by Gresby Race Nash [PRS] || 11761_Atchafalaya_Delta_Landsat45th_large.00385_print.jpg (1024x576) [74.5 KB] || 11761_Atchafalaya_Delta_Landsat45th_large.00385_searchweb.png (320x180) [63.5 KB] || 11761_Atchafalaya_Delta_Landsat45th_large.00385_thm.png (80x40) [5.0 KB] || 11761_Atchafalaya_Delta_Landsat45th_prores.mov (1280x720) [1.5 GB] || 11761_Atchafalaya_Delta_Landsat45th_large.mp4 (1920x1080) [111.8 MB] || 11761_Atchafalaya_Delta_Landsat45th_youtube_1080.mp4 (1920x1080) [162.4 MB] || 11761_Atchafalaya_Delta_Landsat45th_facebook_720.mp4 (1280x720) [118.5 MB] || 11761_Atchafalaya_Delta_Landsat45th.webm (960x540) [45.1 MB] || GSFC_20170721_Landsat_m11761_Atchafalaya.en_US.vtt [42 bytes] || ", "hits": 35 }, { "id": 12372, "url": "https://svs.gsfc.nasa.gov/12372/", "result_type": "B-Roll", "release_date": "2016-09-13T16:00:00-04:00", "title": "ORACLES B-roll", "description": "Southern Africa produces almost a third of the world’s vegetative burning, which sends smoke particles up into the atmosphere, where they eventually mix with stratocumulus clouds over the southeastern Atlantic Ocean. The Observations of Clouds above Aerosols and their Interactions (ORACLES) study is investigating how these particles impact the stratocumulus clouds, which play a key role in both regional and global surface temperatures and precipitation, in order to help improve current climate models. A team of scientists worked out of Walvis Bay, Nambia, with NASA’s P-3 and ER-2 research aircraft to get first-hand measurements of clouds and aerosols in August-Sept, 2016. || ", "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": 37 }, { "id": 4381, "url": "https://svs.gsfc.nasa.gov/4381/", "result_type": "Visualization", "release_date": "2015-10-14T12:00:00-04:00", "title": "Nebraska Water Usage", "description": "Animation begins with a wide view of the entire United States and then zooms down to an area in Nebraska where water usage studies have been done using Landsat-8 satellite data. The camera slowly pans across the area first showing true color Landsat-8 data, then transitioning to temperature data (in shades of orange and violet), then to ETRF (shades of green), ending with an extrusion of water use data (shades of blue) where the camera pulls back to show the entire area of interest. || neb_v2.2150_print.jpg (1024x576) [191.2 KB] || neb_v2.mp4 (1920x1080) [52.8 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || neb_v2.webm (1920x1080) [8.6 MB] || neb_v2.mp4.hwshow [335 bytes] || ", "hits": 28 }, { "id": 11900, "url": "https://svs.gsfc.nasa.gov/11900/", "result_type": "Produced Video", "release_date": "2015-07-21T13:00:00-04:00", "title": "Instagram: Scientists Link Earlier Melting Of Snow To Dark Aerosols", "description": "Tiny particles suspended in the air, known as aerosols, can darken snow and ice causing it to absorb more of the sun’s energy. But until recently, scientists rarely considered the effect of all three major types of light-absorbing aerosols together in climate models.In a new study, NASA scientists used a climate model to examine the impact of this snow-darkening phenomenon on Northern Hemisphere snowpacks, including how it affects snow amount and heating on the ground in spring.The study looked at three types of light-absorbing aerosols – dust, black carbon and organic carbon. Black carbon and organic carbon are produced from the burning of fossil fuels, like coal and oil, as well as biofuels and biomass, such as forests.With their snow darkening effect added to NASA’s GEOS-5 climate model, scientists analyzed results from 2002 to 2011, and compared them to model runs done without the aerosols on snow. They found that the aerosols indeed played a role in absorbing more of the sun’s energy. Over broad places in the Northern Hemisphere, the darkened snow caused some surface temperatures to be up to 10 degrees Fahrenheit warmer than it would be if the snow were pristine. As a result, warmer, snow-darkened areas had less snow in spring than they would have had under pristine snow conditions.According to the study, dust’s snow darkening effect significantly contributed to surface warming in Central Asia and the western Himalayas. Black carbon’s snow darkening effect had a larger impact primarily in Europe, the eastern Himalayas and East Asia. It had a smaller impact in North America. Organic carbon’s snow darkening effect was relatively lower but present in regions such as southeastern Siberia, northeastern East Asia and western Canada.“As we add more of these aerosols to the mix, we are potentially increasing our overall impact on Earth’s climate,” said research scientist Teppei Yasunari at NASA’s Goddard Space Flight Center in Greenbelt, Maryland.Research: Impact of snow darkening via dust, black carbon, and organic carbon on boreal spring climate in the Earth systemJournal: Geophysical Research: Atmospheres, June 15, 2015.Link to paper: http://onlinelibrary.wiley.com/doi/10.1002/2014JD022977/fullHere is the YouTube video. || ", "hits": 32 }, { "id": 4205, "url": "https://svs.gsfc.nasa.gov/4205/", "result_type": "Visualization", "release_date": "2014-09-24T09:00:00-04:00", "title": "Earth Science Heads-up Display", "description": "On September 10, 2014, NASA's Earth Observing System (EOS) was celebrated in an evening event at the Smithsonian National Air and Space Museum in Washington DC. The title of this event was \"Vital Signs: Taking the Pulse of Our Planet\", and the speakers at this event included several Earth Scientists from Goddard Space Flight Center. This animation was used in the beginning of the event to illustrate the interconnectedness of the many Earth-based data sets that NASA has produced over the last decade or so. The animation simulates a view of the Earth from the International Space Station, over which interconnected data sets are displayed as if on a head-up display. || ", "hits": 29 }, { "id": 30516, "url": "https://svs.gsfc.nasa.gov/30516/", "result_type": "Hyperwall Visual", "release_date": "2014-07-28T11:00:00-04:00", "title": "Exploring Sapporo, Japan", "description": "Located on the northern island of Hokkaido, Sapporo is Japan’s fourth-largest city by population. These two images taken by Landsat 8 show Sapporo and its surrounding area on October 10, 2013 and April 20, 2014. In both images the urban city appears gray. Close by, several rectangular agricultural fields (tan and brown) can be seen sprawling eastward. West of the city center, mountains fill the scene. Mount Yōtei, an active stratovolcano located in Shikotsu-Toya National Park, can be seen near the bottom center of the images.Sapporo has a continental climate that offers the full gamut of seasons and a wide variety of temperatures throughout the year. In the October image, the fall leaves in the highest elevations have already begun transitioning into shades of orange and brown. Sapporo receives an average of approximately 360 centimeters (250 inches) of snowfall each year, making it one of the snowiest cities in the world and an ideal site for winter activities. The city hosts its annual Sapporo Snow Festival in February each year, and hosted the Winter Olympics in 1972. The April image shows that even in early spring, there is still plenty of snow covering the nearby mountains. || ", "hits": 33 }, { "id": 4134, "url": "https://svs.gsfc.nasa.gov/4134/", "result_type": "Visualization", "release_date": "2014-01-16T00:00:00-05:00", "title": "Groundwater Depletion in India Revealed by GRACE -Extended", "description": "Scientists using data from NASA's Gravity Recovery and Climate Experiment (GRACE) have found that the groundwater beneath Northern India has been receding by as much as one foot per year over the past decade. After examining many environmental and climate factors, the team of hydrologists led by Matt Rodell of NASA's Goddard Space Flight Center, Greenbelt, Md. concluded that the loss is almost entirely due to human consumption.Groundwater comes from the natural percolation of precipitation and other surface waters down through Earth's soil and rock, accumulating in aquifers - cavities and layers of porous rock, gravel, sand, or clay. In some subterranean reservoirs, the water may be thousands to millions of years old; in others, water levels decline and rise again naturally each year. Groundwater levels do not respond to changes in weather as rapidly as lakes, streams, and rivers do. So when groundwater is pumped for irrigation or other uses, recharge to the original levels can take months or years. The animation shown here depicts the change in groundwater levels with respect to the 2003-2009 mean, as measured each month from January 2003 to June 2013. || ", "hits": 122 }, { "id": 30378, "url": "https://svs.gsfc.nasa.gov/30378/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Active Fires", "description": "Using fire data collected globally every day by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA's Terra satellite, scientists produce maps like these to show the number and extent of fire around the world each month. The red, orange, and yellow pixels on these monthly maps from March 2000 to the present show the locations where the MODIS instrument detected actively burning fires. The colors represent a count of the number of fires each month observed within a 1000-square-kilometer (~385-square-mile) area. White pixels show the high end of the count—as many as 100 fires in a 1000-square-kilometer area per day. Yellow pixels show as many as 10 fires, orange shows as many as 5 fires, and red areas as few as 1 fire in a 1000-square-kilometer area per day. Active fire maps such as these are helping scientists to better understand Earth's environment and climate system. || ", "hits": 14 }, { "id": 30220, "url": "https://svs.gsfc.nasa.gov/30220/", "result_type": "Hyperwall Visual", "release_date": "2013-10-21T12:00:00-04:00", "title": "Hurricane Sandy Causes Blackouts in New Jersey and New York", "description": "In the days following landfall of Hurricane Sandy, millions remained without power. This pair of images shows the difference in city lighting across New Jersey and New York before (August 31, 2012), when conditions were normal, and after (November 1, 2012) the storm. Both images were captured by the Visible Infrared Imaging Radiometer Suite (VIIRS) “day-night band” onboard the Suomi National Polar-orbiting Partnership satellite, which detects light in a range of wavelengths and uses filtering techniques to observe signals such as gas flares, city lights, and reflected moonlight.In Manhattan, the lower third of the island is dark on November 1, while Rockaway Beach, much of Long Island, and nearly all of central New Jersey are significantly dimmer. The barrier islands along the New Jersey coast, which are heavily developed with tourist businesses and year-round residents, are just barely visible in moonlight after the blackout. || ", "hits": 27 }, { "id": 30083, "url": "https://svs.gsfc.nasa.gov/30083/", "result_type": "Hyperwall Visual", "release_date": "2013-10-09T00:00:00-04:00", "title": "South Platte River Floods in Colorado", "description": "Intense rainfall in northern and eastern Colorado brought widespread, destructive flooding in mid-September 2013. This pair of images from the Operational Land Imager on the Landsat 8 satellite shows the South Platte River near Greely, Colorado on June 29, 2013 and September 17, 2013. At the time of the latter image, the river was more than six feet above flood stage, down from more than eight feet above flood stage. The September image shows that the flood has washed away roads, including sections of U.S. Highway 34. Farmland and a few developed areas are under water. Heavy rain caused flooding across the Front Range of the Rocky Mountains starting on September 11, and much of that water made its way into the South Platte River. The river reached a record 18.79 feet in the early morning hours of September 14. The previous record crest was 11.73 feet. Flood stage is 10 feet. || ", "hits": 21 }, { "id": 30059, "url": "https://svs.gsfc.nasa.gov/30059/", "result_type": "Hyperwall Visual", "release_date": "2013-07-10T09:00:00-04:00", "title": "Mountaintop Mining, West Virginia", "description": "These images illustrate the growth of the Hobet mine in Boone County, WV as it moves from ridge to ridge between 1984 and 2015. The natural forested landscape appears dark green, creased by steams and indented by hollows. Active mining areas, however, appear off-white and areas being reclaimed with vegetation appear light green. The law requires coal operators to restore the land to its approximate original shape, but the rock debris generally can’t be securely piled as high or graded as steeply as the original mountaintop. There is always too much rock left over, and coal companies dispose of it by building valley fills in hollows, gullies, and streams. While the image from 2015 shows apparent green-up of restored lands, it also shows expanded operations in the west. The resulting impacts to stream biodiversity, forest health, and ground-water quality are high, and may be irreversible. || ", "hits": 63 }, { "id": 30056, "url": "https://svs.gsfc.nasa.gov/30056/", "result_type": "Hyperwall Visual", "release_date": "2013-07-01T10:00:00-04:00", "title": "Athabasca Oil Sands", "description": "Buried under Canada’s boreal forest is one of the world’s largest reserves of oil. Bitumen—a very thick and heavy form of oil (also called asphalt)—coats grains of sand and other minerals in a deposit that covers about 142,200 square kilometers of northwest Alberta.Only 20 percent of the oil sands lie near the surface where they can easily be mined. The rest of the oil sands are buried more than 75 meters below ground and are extracted by injecting hot water into a well that liquefies the oil for pumping. This series of images from the Landsat satellite shows the growth of surface mines over the Athabasca oil sands between 1984 and 2015.These images show slow growth between 1984 and 2000, followed by a decade of more rapid development. The first mine (from 1967, now part of the Millennium Mine) is visible near the Athabasca River in the 1984 image. The only new development visible between 1984 and 2000 is the Mildred Lake Mine (west of the river), which began production in 1996. By 2015 operations have expanded to the north and east. || ", "hits": 37 }, { "id": 4062, "url": "https://svs.gsfc.nasa.gov/4062/", "result_type": "Visualization", "release_date": "2013-06-30T00:00:00-04:00", "title": "Georgia Urban Sprawl", "description": "One of the many ways to keep FEMA maps up to date is by tracking urban change using satellite imagery. Take this suburb of Atlanta, Georgia as an example. By mining Landsat images spanning a 27 year period, it's possible to identify areas where the land surface has permanently changed and affect the areas ability to absorb water.The river to the Northwest is the Chattahoochee River. The \"Y\"-shaped roads are Interstate 85 (upper branch) and Route 316 (lower branch). As the years go by, one can see the Mall of Georgia being built in the upper middle part of the screen, immediately north of Interstate 85. Surrounding neighborhoods sprout up throughout this whole area as we move through time. This animation was created for use in a NASA video on water run-off changes related to urban sprawl titled \"FEMA Risk Map\". || ", "hits": 57 }, { "id": 30053, "url": "https://svs.gsfc.nasa.gov/30053/", "result_type": "Hyperwall Visual", "release_date": "2013-06-25T13:00:00-04:00", "title": "Dead Sea Salt Farming", "description": "The Dead Sea is so named because its high salinity discourages the growth of fish, plants, and other wildlife. It is the lowest surface feature on Earth, sitting roughly 1,300 feet below sea level. On a hot, dry summer day, the water level can drop as much as one inch because of evaporation. These three false-color images were captured in 1972, 1989, and 2011 by Landsat satellites. Deep waters are blue or dark blue, while brighter blues indicate shallow waters or salt ponds. Green indicates sparsely vegetated lands. Denser vegetation appears bright red. The ancient Egyptians used salts from the Dead Sea for mummification, fertilizers, and potash (a potassium-based salt). In the modern age, sodium chloride and potassium salts culled from the sea are used for water conditioning, road de-icing, and the manufacturing of polyvinyl chloride (PVC) plastics. The expansions of massive salt evaporation projects are clearly visible over the span of 39 years. || ", "hits": 142 }, { "id": 30045, "url": "https://svs.gsfc.nasa.gov/30045/", "result_type": "Hyperwall Visual", "release_date": "2013-06-18T00:00:00-04:00", "title": "Looking for Water Amidst the Heat", "description": "In Southern California irrigated farmland stretches north- and southward from the Salton Sea—an artificial inland sea in the desert. Blocks of square farmland appear in shades of green and tan in the natural-color image acquired on March 24, 2013 by the Operational Land Imager onboard the Landsat Data Continuity Mission—now renamed Landsat-8. On that same day, thermal measurements from the Thermal Infrared Sensor (grayscale image) show that the crops had different temperatures—specifically, cooler areas appear as dark shades, while warmer areas appear as bright shades. Dark pixels—representing cooler areas—in thermal images from TIRS help water managers determine where water is being used for irrigation. Plants cool down when they transpire, so the combination of water evaporating from the plants and the ground (i.e., evapotranspiration) lowers the temperature of the irrigated land. Scientists use these thermal measurements to calculate how much water agricultural fields are using. || ", "hits": 18 }, { "id": 11290, "url": "https://svs.gsfc.nasa.gov/11290/", "result_type": "Produced Video", "release_date": "2013-05-23T12:00:00-04:00", "title": "Pivot Irrigation in Saudi Arabia", "description": "Saudi Arabia is drilling for a resource possibly more precious than oil.Over the last 24 years, it has tapped hidden reserves of water to grow wheat and other crops in the Syrian Desert. This time series of data shows images acquired by three different Landsat satellites operated by NASA and the U.S. Geological Survey.The green fields that dot the desert draw on water that in part was trapped during the last Ice Age. In addition to rainwater that fell over several hundred thousand years, this fossil water filled aquifers that are now buried deep under the desert's shifting sands.Saudi Arabia reaches these underground rivers and lakes by drilling through the desert floor, directly irrigating the fields with a circular sprinkler system. This technique is called center-pivot irrigation.Because rainfall in this area is now only a few centimeters (about one inch) each year, water here is a non-renewable resource. Although no one knows how much water is beneath the desert, hydrologists estimate it will only be economical to pump water for about 50 years.In this series of four Landsat images, the agricultural fields are about one kilometer (.62 miles) across. The images were created using reflected light from the short wave-infrared, near-infrared, and green portions of the electromagnetic spectrum (bands 7, 4, and 2 from Landsat 4 and 5 TM and Landsat 7 ETM+ sensors). Using this combination of wavelengths, healthy vegetation appears bright green while dry vegetation appears orange. Barren soil is a dark pink, and urban areas, like the town of Tubarjal at the top of each image, have a purple hue.Landsat 4 launched in 1982 and provided scientific data for 11 years until 1993. NASA launched Landsat 5 in 1984 and it ran a record-breaking 28 years, sending back what was likely its last data in 2011. Landsat 7 is still up and running; it was launched in 1999. The data from these and other Landsat satellites has been instrumental in increasing our understanding of forest health, storm damage, agricultural trends, urban growth, and many other ongoing changes to our land.NASA and the U.S. Department of the Interior through the U.S. Geological Survey (USGS) jointly manage Landsat, and the USGS preserves a 40-year archive of Landsat images that is freely available data over the Internet. Download a still image showing four of the years: 1987, 1991, 2000, and 2012. || ", "hits": 304 }, { "id": 10967, "url": "https://svs.gsfc.nasa.gov/10967/", "result_type": "Produced Video", "release_date": "2012-04-30T00:00:00-04:00", "title": "Dalhart, Texas 1972-2011", "description": "A water-rich polka dot pattern takes over the traditional rectangular patchwork of fields in this 40 year sequence of Landsat images showing the dry Texas panhandle near the town of Dalhart. In this series, vegetation appears red and the bare soil of fallow fields or sparsely vegetated grasslands appear white to green. The blue-gray X near the center of the images marks the town of Dalhart. || ", "hits": 24 }, { "id": 3905, "url": "https://svs.gsfc.nasa.gov/3905/", "result_type": "Visualization", "release_date": "2012-04-13T09:00:00-04:00", "title": "Mapping Diseases", "description": "The print-resolution still images were created for the February 2012 issue of The Scientist (print and online). In an article in the same issue, NASA scientist Assaf Anyamba explains how he can predict diseases with remote-sensing data.The data used are: 1. NDVI is an index that quantifies the photosynthetic capacity of vegetation. It is derived from visible and near-infrared reflectance measurements made by Advanced Very High Resolution Radiometer (AVHRR) sensors onboard NOAA's polar orbiting satellites (in this case NOAA-17). Taken as time series measurements, NDVI indicates the response of vegetation to seasonal and interannual variations in climate.2. SST data are a blend of direct observations from ships, buoys, satellite imagery also from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) instruments, and SSTs simulated by sea-ice cover. The monthly optimum interpolated fields were derived by a linear interpolation of the weekly fields to daily fields, and then averaging daily values over a month.All anomaly fields (as shown here) are derived by subtracting the monthly values from the respective long-term monthly means. || ", "hits": 28 }, { "id": 10935, "url": "https://svs.gsfc.nasa.gov/10935/", "result_type": "Produced Video", "release_date": "2012-03-21T00:00:00-04:00", "title": "Visions of Goddard", "description": "Excerpts of 14 short films about the NASA's Goddadrd Space Flight Center. || ", "hits": 44 }, { "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": 683 }, { "id": 3807, "url": "https://svs.gsfc.nasa.gov/3807/", "result_type": "Visualization", "release_date": "2011-08-31T00:00:00-04:00", "title": "Predicting Disease Outbreaks from Space", "description": "These visualizations were created for the May 18, 2012 Library of Congress Talk Predictiding Disease Outbreaks from Space. In this talk NASA scientist Assaf Anyamba, will present how using remote-sensing data we can see links among weather, diseases and famine.An early warning system more than a decade in development successfully predicted the 2006-2007 outbreak of the deadly Rift Valley Fever (RVF) in East Africa and subsequent outbreaks in Sudan (2007) and South Africa (2008-2011). RVF is a deadly hemorrhagic disease transmitted by mosquitoes that infects livestock and human populations episodically. An international team of research scientists, public-health professionals, agricultural specialists and military personnel had worked for a decade to successfully predict when and where an outbreak of RVF would occur. || ", "hits": 33 }, { "id": 10762, "url": "https://svs.gsfc.nasa.gov/10762/", "result_type": "Produced Video", "release_date": "2011-04-23T00:00:00-04:00", "title": "NASA DLN Presents Earth Day with Landsat", "description": "These are excerpts from an Earth Day DLN webcast that features scientists and engineers discussing how the Landsat mission has helped us see and study our changing planet. || ", "hits": 20 }, { "id": 10634, "url": "https://svs.gsfc.nasa.gov/10634/", "result_type": "Produced Video", "release_date": "2010-09-07T00:00:00-04:00", "title": "Wildfire and Pine Beetles", "description": "Mountain pine beetles are native to Western forests, but in recent years their numbers have skyrocketed. As they damage more trees and kill whole regions of forest, some worry that the dead forest left behind has become a tinderbox ready to burn. But do pine beetles really increase fire risk?Using Landsat satellite data, University of Wisconsin forest ecologist Phil Townsend and his team are discovering that pine beetle damage appears not to have a significant impact in the risk of large fires. In fact, it might even reduce fire risk in some instances. || ", "hits": 32 }, { "id": 3667, "url": "https://svs.gsfc.nasa.gov/3667/", "result_type": "Visualization", "release_date": "2010-06-03T00:00:00-04:00", "title": "Ship Tracks Reveal Pollution's Effects on Clouds", "description": "NASA's MODIS satellite instrument is revealing that humans may be changing our planet's brightness. Pollution in the atmosphere creates smaller, brighter cloud droplets that reflect more sunlight back to space and may have a slight impact on global warming.This narrated visualization illustrates how we can study the effect against a clean backdrop by looking for zones of pollution in otherwise pristine air - in this case the North Pacific Ocean near the Aleutian islands. On an overcast day, the clouds look uniform. However, MODIS' sesor reveals a different picture - long skinny trails of brighter clouds hidden within. As ships travel across the ocean, pollution in the ships' exhaust create more cloud drops that are smaller in size, resulting in even brighter clouds. On clear days, ships can actually create new clouds. Water vapor condenses around the particles of pollution, forming streamers of clouds as the ships travel on. The ship tracks themselves are too small to impact global temperatures, but they help us understand how larger pollution sources such as industrial sites or agricultural burning might be changing clouds on a larger scale. || ", "hits": 70 }, { "id": 10562, "url": "https://svs.gsfc.nasa.gov/10562/", "result_type": "Produced Video", "release_date": "2010-05-27T00:00:00-04:00", "title": "Gulf of Mexico Oil Spill", "description": "You can learn more about NASA's satellite observations of the oil spill by visiting https://www.nasa.gov/topics/earth/features/oilspill/. || ", "hits": 54 }, { "id": 10612, "url": "https://svs.gsfc.nasa.gov/10612/", "result_type": "Produced Video", "release_date": "2010-05-12T00:00:00-04:00", "title": "The Smog Bloggers", "description": "Has pollen got you sneezing? Wondering what's causing that mysterious afternoon haze? How do you find out what's in the air you are breathing? For the thousands of people who visit the University of Maryland Baltimore County's \"Smog Blog\" each day, the answer is just a web click away. The Smog Bloggers combine laser measurements of current air quality with NASA satellite data to paint a daily picture of air pollution across the US. To date, the blog has received over two million hits, and is itself a big hit with weather forecasters, astronomers, asthma sufferers, and those with just a healthy curiosity about what kinds of pollution they may be breathing in. For complete transcript, click here. || G2010-057_Smog_Bloggers_YouTubeHQ.01477_print.jpg (1024x576) [98.1 KB] || G2010-057_Smog_Bloggers_YouTubeHQ_web.png (320x180) [262.6 KB] || G2010-057_Smog_Bloggers_YouTubeHQ_thm.png (80x40) [17.4 KB] || G2010-057_Smog_Bloggers_appletv.webmhd.webm (960x540) [53.5 MB] || G2010-057_Smog_Bloggers_appletv.m4v (960x720) [146.6 MB] || G2010-057_Smog_Bloggers_Youtube.mov (1280x720) [58.9 MB] || G2010-057_Smog_Bloggers_YouTubeHQ.mov (1280x720) [113.1 MB] || G2010-057_Smog_Bloggers_iPod_large.m4v (640x360) [45.3 MB] || G2010-057_Smog_Bloggers_iPod_small.m4v (320x180) [17.5 MB] || G2010-057_Smog_Bloggers_NASA_PORTAL.wmv (346x260) [46.4 MB] || G2010-057_Smog_Bloggers_SVS.mpg (512x288) [36.2 MB] || ", "hits": 16 }, { "id": 10513, "url": "https://svs.gsfc.nasa.gov/10513/", "result_type": "Produced Video", "release_date": "2009-12-11T00:00:00-05:00", "title": "A Landsat Flyby", "description": "The Landsat program is the longest continuous global record of the Earth's surface, and continues to deliver both visually stunning and scientifically valuable images of our planet. This short video highlights Landsat's many benefits to society. || ", "hits": 32 }, { "id": 3623, "url": "https://svs.gsfc.nasa.gov/3623/", "result_type": "Visualization", "release_date": "2009-08-12T00:00:00-04:00", "title": "Groundwater Depletion in India Revealed by GRACE", "description": "Scientists using data from NASA's Gravity Recovery and Climate Experiment (GRACE) have found that the groundwater beneath Northern India has been receding by as much as one foot per year over the past decade. After examining many environmental and climate factors, the team of hydrologists led by Matt Rodell of NASA's Goddard Space Flight Center, Greenbelt, Md. concluded that the loss is almost entirely due to human consumption.Groundwater comes from the natural percolation of precipitation and other surface waters down through Earth's soil and rock, accumulating in aquifers - cavities and layers of porous rock, gravel, sand, or clay. In some subterranean reservoirs, the water may be thousands to millions of years old; in others, water levels decline and rise again naturally each year. Groundwater levels do not respond to changes in weather as rapidly as lakes, streams, and rivers do. So when groundwater is pumped for irrigation or other uses, recharge to the original levels can take months or years. More than 109 cubic km (26 cubic miles) of groundwater disappeared from the region's aquifers between 2002 and 2008 — double the capacity of India's largest surface water reservoir, the Upper Wainganga, and triple that of Lake Mead, the largest manmade reservoir in the U.S. The animation shown here depicts the change in groundwater levels as measured each November between 2002 to 2008. || ", "hits": 1309 }, { "id": 3622, "url": "https://svs.gsfc.nasa.gov/3622/", "result_type": "Visualization", "release_date": "2009-07-27T00:00:00-04:00", "title": "Great Zoom into/out of New Orleans, Louisiana: Ernest N. Morial Convention Center", "description": "Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing through layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground.This zoom in to the Ernest N. Morial Convention Center in New Orleans, Louisiana was created for a presentation at SIGGRAPH 2009. || ", "hits": 29 }, { "id": 10402, "url": "https://svs.gsfc.nasa.gov/10402/", "result_type": "Produced Video", "release_date": "2009-03-11T00:00:00-04:00", "title": "Rain, Drought, Urbanization Contributing Factors for Storms", "description": "On March 14, 2008, a tornado swept through downtown Atlanta, its 130 mile-per-hour winds ripping holes in the roof of the Georgia Dome, blowing out office windows and trashing parts of Centennial Olympic Park. It was an event so rare in an urban landscape that researchers immediately began to examine NASA satellite data and historical archives to see what weather and climatological ingredients may have combined to brew such a storm. Read more at http://www.nasa.gov/topics/earth/features/atlanta_tornado.html. || ", "hits": 14 }, { "id": 10386, "url": "https://svs.gsfc.nasa.gov/10386/", "result_type": "Produced Video", "release_date": "2009-02-19T00:00:00-05:00", "title": "Sources of Aerosols", "description": "Aerosols can occur in nature, but they can also originate from human activity. These animations provide an introduction to four of the varied sources of atmospheric aerosols: cities, forest fires, the ocean, and deserts. || ", "hits": 38 }, { "id": 10389, "url": "https://svs.gsfc.nasa.gov/10389/", "result_type": "Produced Video", "release_date": "2009-02-19T00:00:00-05:00", "title": "Aerosols Absorb; Aerosols Reflect", "description": "Some aerosol particles primarily reflect solar radiation and cool the atmosphere, and others can also absorb radiation and warm the surrounding air. When aerosols heat the atmosphere, they create an unstable environment where clouds can't thrive. The suppression of clouds leads to further warming of the atmosphere by solar radiation. Aerosols are a complex but critical piece of the climate puzzle, and researchers are still working to understand the role of these curious particles. || ", "hits": 211 }, { "id": 10364, "url": "https://svs.gsfc.nasa.gov/10364/", "result_type": "Produced Video", "release_date": "2009-02-01T00:00:00-05:00", "title": "NOAA-N Prime Mission Overview", "description": "The NOAA-N Prime satellite is slated for launch by NASA on February 4th, 2009. Operated by NOAA, N Prime will be the last in the Television Infrared Observation Satellite Series (TIROS) that have been observing Earth's weather and environment for nearly 50 years. N Prime's main role will be to provide continuity of service until the launch of the next generation, highly advanced National Polar-orbiting Operational Environmental Satellite System (NPOESS). || ", "hits": 32 }, { "id": 20178, "url": "https://svs.gsfc.nasa.gov/20178/", "result_type": "Animation", "release_date": "2009-01-21T12:00:00-05:00", "title": "NOAA-N Prime Beauty Shot Animation", "description": "An artist concept of the spacecraft. The microwave instruments on board NOAA-N Prime are so sensitive that they can see Earth's surface through clouds. NOAA-N Prime will deliver essential atmospheric and surface parameters to use in scientific forecast models. N Prime provides essential critical information for creating accurate weather forecasts 2-3 days in advance. || ", "hits": 20 } ] }