{ "count": 147, "next": "https://svs.gsfc.nasa.gov/api/search/?limit=100&offset=100&search=%22Land+use%22", "previous": null, "results": [ { "id": 14796, "url": "https://svs.gsfc.nasa.gov/14796/", "result_type": "Produced Video", "release_date": "2025-03-14T12:00:00-04:00", "title": "Beyond the Visible: Landsat Next’s New Spectral Bands", "description": "Landsat Next takes Earth observation beyond the visible, unlocking new insights to protect our planet like never before. || LNext_Spectral_Thumb.png (1920x1080) [1.4 MB] || LNext_Spectral_Thumb_print.jpg (1024x576) [136.3 KB] || LNext_Spectral_Thumb_searchweb.png (320x180) [81.4 KB] || LNext_Spectral_Thumb_thm.png [7.0 KB] || NASA_LNextSpectral_Final_REV.webm (1920x1080) [66.0 MB] || NASA_LNextSpectral.en_US.vtt [14.2 KB] || NASA_LNextSpectral.en_US.srt [14.3 KB] || NASA_LNextSpectral_Final_REV.mp4 (1920x1080) [1.2 GB] || ", "hits": 49 }, { "id": 14507, "url": "https://svs.gsfc.nasa.gov/14507/", "result_type": "Produced Video", "release_date": "2024-04-18T08:40:00-04:00", "title": "NASA Joins the Jane Goodall Institute to Conserve Chimpanzee Habitat, Earth Information Center Videos", "description": "After years of forest loss, chimpanzee habitats are recovering. This is, in part, due to a collaboration between NASA and the Jane Goodall Institute (JGI). Using NASA Earth science satellite and other data, the Goodall Institute puts data into the hands of local communities to drive conservation across Africa’s equatorial forest belt.", "hits": 57 }, { "id": 31195, "url": "https://svs.gsfc.nasa.gov/31195/", "result_type": "Hyperwall Visual", "release_date": "2024-04-16T00:00:00-04:00", "title": "50+ years of Landsat: Las Vegas", "description": "The city of Las Vegas—meaning the meadows—was established in 1905. In the 1930s, gambling became legalized and construction of the Hoover Dam began, resulting in the city's first growth spurt. Since then, Las Vegas has not stopped growing. Population has reached nearly two million over the past decade, becoming one of the fastest growing metropolitan areas in the world. These false-color images show the rapid urbanization of Las Vegas between 1972 and 2024.", "hits": 179 }, { "id": 31270, "url": "https://svs.gsfc.nasa.gov/31270/", "result_type": "Hyperwall Visual", "release_date": "2024-01-24T00:00:00-05:00", "title": "Global Carbon Budget, 2023", "description": "Animation showing carbon sources and sink from 1950 through 2022. || historical_carbon_budget_bar_chart_2023.png (1920x1080) [123.3 KB] || historical_carbon_budget_bar_chart_2023_print.jpg (1024x576) [51.0 KB] || historical_carbon_budget_bar_chart_2023_searchweb.png (320x180) [19.4 KB] || historical_carbon_budget_bar_chart_2023_thm.png (80x40) [3.1 KB] || historical_carbon_budget_bar_chart_2023.mp4 (1920x1080) [283.1 KB] || historical_carbon_budget_bar_chart_2023.webm (1920x1080) [1.6 MB] || historical_carbon_budget_bar_chart_2023.hwshow [60 bytes] || ", "hits": 167 }, { "id": 4948, "url": "https://svs.gsfc.nasa.gov/4948/", "result_type": "Visualization", "release_date": "2023-09-13T10:00:00-04:00", "title": "Reforestation in Kigoma region of Tanzania: 2005 - 2014", "description": "This visualization begins by showing the location of the village of Kigalye, south of the Gombe National Park in Tanzania. The topography of that region is draped with a satellite image taken on May 14, 2005. As we fly up the valley between Kigalye and the park, scars from deforestation cover much of the landscape. || habitat_reforestation_4k_60fps_2005.1000_print.jpg (1024x576) [290.7 KB] || habitat_reforestation_4k_30fps_2005_1080p30.webmhd.webm (1080x606) [10.0 MB] || habitat_reforestation_4k_30fps_2005_1080p30.mp4 (1920x1080) [49.6 MB] || habitat_reforestation_4k_60fps_2005_1080p60.mp4 (1920x1080) [52.8 MB] || Yr_2005 (3840x2160) [0 Item(s)] || Yr_2005 (3840x2160) [0 Item(s)] || habitat_reforestation_2005_2160p30.mp4 (3840x2160) [151.6 MB] || habitat_reforestation_2005_2160p60.mp4 (3840x2160) [152.5 MB] || ", "hits": 47 }, { "id": 5160, "url": "https://svs.gsfc.nasa.gov/5160/", "result_type": "Visualization", "release_date": "2023-09-13T10:00:00-04:00", "title": "Using NASA Data to Monitor Chimpanzee Habitat Suitability in Africa", "description": "The historic chimpanzee habitat range (yellow) mapped with the current range (pink). A historic range only map can be found in the download button to the right. || range_map_current_print.jpg (1024x545) [93.5 KB] || range_map_current.png (4225x2250) [6.6 MB] || range_map_historic.png (4225x2250) [6.7 MB] || ", "hits": 168 }, { "id": 14410, "url": "https://svs.gsfc.nasa.gov/14410/", "result_type": "Produced Video", "release_date": "2023-09-13T10:00:00-04:00", "title": "NASA Joins Jane Goodall to Conserve Chimp Habitats", "description": "Complete transcript available. || Jane_Goodall_fullvideo_FINAL.00001_print.jpg (1024x576) [225.0 KB] || Jane_Goodall_fullvideo_FINAL.00001_searchweb.png (320x180) [123.8 KB] || Jane_Goodall_fullvideo_FINAL.00001_web.png (320x180) [123.8 KB] || Jane_Goodall_fullvideo_FINAL.00001_thm.png (80x40) [8.1 KB] || Jane_Goodall_fullvideo_FINAL.en_US.srt [10.7 KB] || Jane_Goodall_fullvideo_FINAL.en_US.vtt [10.2 KB] || Jane_Goodall_fullvideo_FINAL.mp4 (3840x2160) [4.3 GB] || ", "hits": 80 }, { "id": 40503, "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall-power-playlist-earth-science/", "result_type": "Gallery", "release_date": "2023-08-28T00:00:00-04:00", "title": "Hyperwall Power Playlist - Earth Science Focus", "description": "This is a collection of our most powerful, newsworthy, and frequently used Hyperwall-ready visualizations, along with several that haven't gotten the attention they deserve. They're especially great for more general or top-level science talks, or to \"set the scene\" before a deep dive into a more focused subject or dataset. We've tried to cover the subject areas our speakers focus on most. \n\nIf you're not seeing what you're looking for, there is a huge library of visualizations more localized or specialized in subject - please use the Search function above, and filter \"Result type\" for \"Hyperwall Visual.\"\n\n If you'd like to use one of these visualizations in your Hyperwall presentation, we'll need to know which element on which page. On the visualization's web page, below the visual you'd like to use, you'll see a Link icon next to the Download button. All we need is for you to click on that icon and include that link in your presentation Powerpoint/Keynote or visualization list. Additionally, please check our Hyperwall How-To Guide for tips on designing your Hyperwall presentation, file specifications, and Powerpoint/Keynote templates.", "hits": 230 }, { "id": 5104, "url": "https://svs.gsfc.nasa.gov/5104/", "result_type": "Visualization", "release_date": "2023-05-23T00:00:00-04:00", "title": "Two Decades of Changes in Nitrogen Dioxide and Fine Particulate Pollution in the U.S.", "description": "A data visualization of particulate matter 2.5 (PM2.5) data for the Washington DC region spanning 2000-2018 (annual averages). Higher values are represented with dark red and lower values are represented with bright yellow. This view uses the hybrid PM 2.5 color bar with a range of 5 to 20. || pm25_dc_annual.2018_print.jpg (1024x576) [216.4 KB] || pm25_dc_annual.2018_searchweb.png (320x180) [75.7 KB] || pm25_dc_annual.2018_thm.png (80x40) [6.2 KB] || pm25_dc_annual (3840x2160) [0 Item(s)] || pm25_dc_annual_2160p1.mp4 (3840x2160) [30.8 MB] || pm25_dc_annual_2160p60_prores.mov (3840x2160) [41.0 MB] || pm25_dc_annual_2160p1.webm (3840x2160) [1.9 MB] || ", "hits": 96 }, { "id": 14315, "url": "https://svs.gsfc.nasa.gov/14315/", "result_type": "Produced Video", "release_date": "2023-03-22T00:00:00-04:00", "title": "Tracking Carbon from Wildfires to Ocean Blooms", "description": "Music: \"On the Trail,\" \"Idle at Midnight,\" \"Synthetic Comfort,\" Universal Production MusicComplete transcript available.Video descriptive text available.The following footage is provided by pond5.com through licensing and may not be excised: 00:00-00:12, 01:03-01:13, 01:15-01:23, 01:37-01:45, 02:07-02:21, 03:31-03:34, 03:43-03:47, 04:06-04:19, and 04:36-04:46 || PACE_Fire_thumb_print.jpg (1024x523) [95.6 KB] || PACE_Fire_thumb.png (3168x1620) [5.4 MB] || PACE_Fire_thumb_searchweb.png (320x180) [75.2 KB] || PACE_Fire_thumb_thm.png (80x40) [6.7 KB] || PACE_Fires_Carbon_prores.mov (1920x1080) [4.9 GB] || PACE_Fires_Carbon.mp4 (1920x1080) [370.0 MB] || PACE_Fires_Carbon_prores.webm (1920x1080) [40.0 MB] || PACE_Fires.en_US.srt [7.7 KB] || PACE_Fires.en_US.vtt [7.4 KB] || ", "hits": 37 }, { "id": 5081, "url": "https://svs.gsfc.nasa.gov/5081/", "result_type": "Visualization", "release_date": "2023-03-07T00:00:00-05:00", "title": "National Carbon Dioxide (CO₂) budgets inferred from atmospheric observations", "description": "National yearly carbon dioxide (CO₂) budgets for over 100 countries around the world for the period 2015-2020. || NationalCO2Budgets_Light_1080x1920_30fps_358.png (1080x1920) [1.4 MB] || NationalCO2Budgets_Light_1080x1920.mp4 (1080x1920) [12.3 MB] || NationalCarbonDioxideBudget_Light (1080x1920) [0 Item(s)] || NationalCO2Budgets_Light_1080x1920.webm (1080x1920) [1.4 MB] || ", "hits": 272 }, { "id": 31196, "url": "https://svs.gsfc.nasa.gov/31196/", "result_type": "Hyperwall Visual", "release_date": "2022-10-20T00:00:00-04:00", "title": "50 years of Landsat: Denver", "description": "Since 1972, Landsat satellites have observed our planet’s forests, deserts, cities, farms, and badlands. The Mile High City rose up on the hopes of gold miners, who founded the city in 1858 after the discovery of gold in the waters at the confluence of the South Platte River and Cherry Creek. Denver, Colorado, quickly became a hub for the mining towns to the west and the agricultural interests on the plains to the east. Unhindered by any major body of water or topographic feature to the north, south, or east, the city has expanded in all directions. These red-NIR-green combination false color images show the city of Denver between 1972 or 1972 and 2022, using sensors aboard Landsat satellites that have been collecting data in different ranges of frequencies along the electromagnetic spectrum for nearly 50 years. || ", "hits": 52 }, { "id": 40447, "url": "https://svs.gsfc.nasa.gov/gallery/visualizationsfor-educators/", "result_type": "Gallery", "release_date": "2022-08-17T00:00:00-04:00", "title": "Visualizations for Educators", "description": "Phenomena are observable events that occur in nature. Data visualizations can offer new ways for students to experience and explore Earth and space phenomena that happen over large scales of time and at great distances. This gallery includes visualizations of phenomena that support topics that are taught in middle and high school and are aligned with select Next Generation Science Standards.\n\n\nThis gallery was curated by Anne Arundle County Science Teachers Margaret Graham and Jeremy Milligan with support from Dr. Rachel Connolly during the summer of 2022. A video showing how Jeremy Milligan uses SVS resources to develop a phenomena-based lesson is also available.", "hits": 243 }, { "id": 31180, "url": "https://svs.gsfc.nasa.gov/31180/", "result_type": "Hyperwall Visual", "release_date": "2022-03-10T10:00:00-05:00", "title": "NASA and Agriculture: From Seeds to Satellites", "description": "Complete transcript available. || ComClas_Final_Cut.00148_print.jpg (1024x576) [55.5 KB] || Screen_Shot_2022-03-03_at_1.29.01_PM.png (2478x1382) [1.5 MB] || ComClas_Final_Cut.00148_searchweb.png (320x180) [45.5 KB] || ComClas_Final_Cut.00148_web.png (320x180) [45.5 KB] || ComClas_Final_Cut.00148_thm.png (80x40) [4.1 KB] || ComClas_Final_Cut.webm (1920x1080) [8.0 MB] || ComClas_Final_Cut.mp4 (1920x1080) [126.1 MB] || ComClas_Final_Cut_otter_ai.en_US.srt [1009 bytes] || ComClas_Final_Cut_otter_ai.en_US.vtt [1022 bytes] || ", "hits": 161 }, { "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": 83 }, { "id": 13919, "url": "https://svs.gsfc.nasa.gov/13919/", "result_type": "Produced Video", "release_date": "2021-08-31T10:00:00-04:00", "title": "Landsat 9 L-16 Press Briefing Graphics", "description": "Officials from NASA and the U.S. Geological Survey (USGS) discussed the upcoming launch of the Landsat 9 satellite during a media briefing at 10 a.m. EDT Tuesday, Aug. 31.The Landsat 9 launch is targeted for no earlier than Thursday, Sept. 23, 2021.The media briefing will air live on NASA TV, the NASA app, and the agency’s website.Data from Landsat 9 will add to nearly 50 years of free and publicly available data from the Landsat program. The Landsat program is the longest-running enterprise for acquisition of satellite imagery of Earth. It is a joint NASA/USGS program. Researchers harmonize Landsat data to detect the footprint of human activities and measure the effects of climate change on land over decades.Once fully operational in orbit, Landsat 9 will replace Landsat 7 and join its sister satellite, Landsat 8, in continuing to collect data from across the planet every eight days. This calibrated data will continue the Landsat program’s critical role in monitoring land use and helping decision-makers manage essential resources including crops, water resources, and forests.Briefing participants, in speaking order, are:•Karen St. Germain, director of NASA's Earth Science Division•Del Jenstrom, Landsat 9 project manager at NASA’s Goddard Space Flight Center in Greenbelt, Maryland•Jeff Masek, Landsat 9 project scientist at Goddard•David Applegate, acting director of USGS•Birgit Peterson, geographer at USGS•Inbal Becker-Reshef, director of NASA’s Harvest food security and agriculture program.NASA manages the Landsat 9 mission. Goddard teams also built and tested one of the two instruments on Landsat 9, the Thermal Infrared Sensor 2 (TIRS-2) instrument. TIRS-2 will use thermal imaging to make measurements that are used to calculate soil moisture and detect the health of plants.The USGS Earth Resources Observation and Science Center in Sioux Falls, South Dakota, will operate the mission and manage the ground system, including maintaining the Landsat archive. Ball Aerospace in Boulder, Colorado, built and tested the Operational Land Imager 2 (OLI-2) instrument, another imaging sensor that provides data in the visible, near infrared, and shortwave infrared portions of the spectrum. United Launch Alliance is the rocket provider for Landsat 9’s launch. Northrop Grumman in Gilbert, Arizona, built the Landsat 9 spacecraft, integrated it with instruments, and tested the observatory.For more information:Media AdvisoryLandsat Video Resourceshttps://landsat.gsfc.nasa.gov/https://www.usgs.gov/landsat || ", "hits": 28 }, { "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": 62 }, { "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": 58 }, { "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": 37 }, { "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": 57 }, { "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": 56 }, { "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": 26 }, { "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": 92 }, { "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": 54 }, { "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": 38 }, { "id": 4836, "url": "https://svs.gsfc.nasa.gov/4836/", "result_type": "Visualization", "release_date": "2021-03-11T10:00:00-05:00", "title": "Liberia Land Use and Ecosystem Extent", "description": "Land Use, Libera || top.00660_print.jpg (1024x576) [220.1 KB] || top.00660_searchweb.png (320x180) [105.8 KB] || top.00660_thm.png (80x40) [7.2 KB] || top.mp4 (1920x1080) [42.8 MB] || top.webm (1920x1080) [2.3 MB] || top.mp4.hwshow [169 bytes] || ", "hits": 51 }, { "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": 101 }, { "id": 40420, "url": "https://svs.gsfc.nasa.gov/gallery/amazon-deforestation-trends/", "result_type": "Gallery", "release_date": "2020-08-16T00:00:00-04:00", "title": "Amazon Deforestation Trends", "description": "Visualizations of deforestation in the Brazilian area of the Amazonia biome. Data provided by the MapBiomas.org initiative, primarily based on Landsat data from 1985-2018.\n\nThe Amazon has undergone major transformations over the span of the Landsat program (since 1972). Working closely with their Brazilian counterparts, and in cooperation with a number of non-governmental organizations, NASA scientists have helped map the entire country of Brazil to show different kinds of land use for every year going back to 1985.\n\nLearn more about how this data is being used: https://svs.gsfc.nasa.gov/13694.", "hits": 116 }, { "id": 40413, "url": "https://svs.gsfc.nasa.gov/gallery/earth-science-playlist/", "result_type": "Gallery", "release_date": "2020-04-01T00:00:00-04:00", "title": "Earth Science Playlist", "description": "No description available.", "hits": 3 }, { "id": 13286, "url": "https://svs.gsfc.nasa.gov/13286/", "result_type": "Produced Video", "release_date": "2019-12-02T00:00:00-05:00", "title": "Why Observe?: Land Cover", "description": "\"Life Choices\" - Instrumental (Full Length) Eric Chevalier [SACEM]; Koka Media/Universal Publishing Production Music; Universal Production Music\"Evolution of Life\" - Instrumental (Full Length) David Stephen Goldsmith [PRS]; Atmosphere; Universal Production Music\"Time Ticking Away\" - Instrumental (Full Length) Adam Paul Courtenay Burns [PRS] and Jez Burns [PRS]; Atmosphere; Universal Production Music\"Shadow Lands\" - Instrumental (Full Length) Anthoney Edwin Philips [PRS] and Samuel Karl Bohn [PRS]; Atmosphere; Universal Production Music\"The Remaining Shadows\" Mark Russell [PRS]; Atmosphere Ltd.; Universal Production Music\"8bit Ninja\" - 15 Sec. Alex Komlew [GEMA] and Florian Jahrstorfer [GEMA]; Ed. Berlin Production Music/Universal Production Music Gmblt; Universal Production Music || 13286_WhyObserve_LandCover_GLOBEObserver.11884_print.jpg (1024x576) [132.5 KB] || 13286_WhyObserve_LandCover_GLOBEObserver.11884_thm.png (80x40) [6.1 KB] || 13286_WhyObserve_LandCover_GLOBEObserver.11884_searchweb.png (320x180) [96.6 KB] || 13286_WhyObserve_Landcover_GLOBEObserver.mov (1920x1080) [10.4 GB] || 13286_WhyObserve_Landcover_GLOBEObserver_lowres.mp4 (1280x720) [145.5 MB] || FACEBOOK_720_13286_WhyObserve_Landcover_GLOBEObserver_facebook_720.mp4 (1280x720) [502.1 MB] || TWITTER_720_13286_WhyObserve_Landcover_GLOBEObserver_twitter_720.mp4 (1280x720) [88.3 MB] || 13286_WhyObserve_Landcover_GLOBEObserver.webm (960x540) [214.6 MB] || YOUTUBE_720_13286_WhyObserve_Landcover_GLOBEObserver_youtube_720.mp4 (1280x720) [678.1 MB] || YOUTUBE_1080_13286_WhyObserve_Landcover_GLOBEObserver_youtube_1080.mp4 (1920x1080) [685.7 MB] || WhyObserve_Landcover_GLOBEObserver.en_US.srt [9.4 KB] || WhyObserve_Landcover_GLOBEObserver.en_US.vtt [9.4 KB] || ", "hits": 25 }, { "id": 13417, "url": "https://svs.gsfc.nasa.gov/13417/", "result_type": "Produced Video", "release_date": "2019-11-27T12:00:00-05:00", "title": "Landsat Croplands Data Overview", "description": "The U.S. Department of Agriculture tracks how many acres and the annual yield for every crop produced. One method used to estimate crop acreage and yield is remote-sensing data from the NASA-USGS Landsat satellite program. The program started in 1997,with North Dakota, and by 2008 covered the entire lower 48 states and the District of Columbia. Music: \"Downloading Landscapes\" by Andrew Michael Britton [PRS] and David Stephen Goldsmith [PRS]. Published by Atmosphere Music Ltd [PRS].Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13417_Landsat_Croplands_print.jpg (1920x1080) [940.0 KB] || 13417_Landsat_Croplands_print_searchweb.png (180x320) [52.1 KB] || 13417_Landsat_Croplands_print_thm.png (80x40) [4.6 KB] || 13417_Landsat_Croplands.webm (1920x1080) [19.7 MB] || 13417_Landsat_Croplands.mp4 (1920x1080) [292.2 MB] || 13417_Landsat_Croplands-captions.en_US.srt [3.0 KB] || 13417_Landsat_Croplands-captions.en_US.vtt [3.0 KB] || 13417_Landsat_Croplands.mov (1920x1080) [4.8 GB] || 13417_Landsat_Croplands.mp4.hwshow [423 bytes] || ", "hits": 188 }, { "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": 49 }, { "id": 13259, "url": "https://svs.gsfc.nasa.gov/13259/", "result_type": "Produced Video", "release_date": "2019-07-26T00:00:00-04:00", "title": "Landsat 9 Spacecraft Animations and Stills", "description": "Landsat 9 is a collaboration between NASA and the U.S. Geological Survey, and will continue the Landsat program’s critical role in monitoring, understanding and managing the land resources needed to sustain human life. The mission will provide moderate-resolution (15 meter to 100 meter, depending on spectral frequency) measurements of the Earth's terrestrial and polar regions in visible, near-infrared, short wave infrared, and thermal infrared wavelengths. There are two instruments on the spacecraft, the Thermal InfraRed Sensor 2 (TIRS-2) and the Operational Land Imager 2 (OLI-2).Landsat 9 will provide continuity with the nearly 50-year long Landsat land imaging data set. In addition to widespread routine use for land use planning and monitoring on regional to local scales, support of disaster response and evaluations, and water use monitoring, Landsat measurements directly serve NASA research in the focus areas of climate, carbon cycle, ecosystems, water cycle, biogeochemistry, and Earth surface/interior.The Landsat program is the only U.S. satellite system designed and operated to repeatedly observe the global land surface at a moderate scale that shows both natural and human-induced change. || ", "hits": 207 }, { "id": 13243, "url": "https://svs.gsfc.nasa.gov/13243/", "result_type": "Produced Video", "release_date": "2019-06-26T11:00:00-04:00", "title": "NASA Tracks the Future of Asia's Glaciers", "description": "Asia’s high mountains are a crucial freshwater source to one-seventh of the world’s population. Snow and glaciers in these mountains contain the largest volume of freshwater outside of Earth's polar ice sheets, leading hydrologists to nickname this region the Third Pole. Rapid changes in the region's climate are affecting glacier flows and snowmelt. Local people are already modifying their land-use practices in response to the changing supply, and the region's ecology is transforming. Scientists estimate that by 2100, these glaciers could be up to 75% smaller in volume. NASA's satellites observe and measure snow and ice cover remotely with multiple types of sensors. This allows scientists to create an authoritative estimate of the water budget of this region and a set of products local policy makers can use in responding to hazards and planning for a changing water supply. || ", "hits": 54 }, { "id": 13187, "url": "https://svs.gsfc.nasa.gov/13187/", "result_type": "Produced Video", "release_date": "2019-05-30T10:00:00-04:00", "title": "GLOBE Observer Land Cover: Getting Started", "description": "Learn how to take land cover observations using the GLOBE Observer app.Music: Up On the Mountain/WAX005: Goodvibes - Bruce Driscoll [BMI], Marie Seyrat [BMI]; Killer Tracks Production Music || FACEBOOK_720_13187_GLOBE_Observer_Land_Cover_Final1_facebook_720.00150_print.jpg (1024x576) [47.5 KB] || FACEBOOK_720_13187_GLOBE_Observer_Land_Cover_Final1_facebook_720.00150_searchweb.png (320x180) [58.5 KB] || 13187_GLOBE_Observer_Land_Cover_Final1.00150_thm.png (80x40) [6.1 KB] || 13187_GLOBE_Observer_Land_Cover_Final1.mov (1920x1080) [3.9 GB] || 13187_GLOBE_Observer_Land_Cover_Final1_lowres.mp4 (1280x720) [52.0 MB] || FACEBOOK_720_13187_GLOBE_Observer_Land_Cover_Final1_facebook_720.mp4 (1280x720) [182.4 MB] || TWITTER_720_13187_GLOBE_Observer_Land_Cover_Final1_twitter_720.mp4 (1280x720) [31.7 MB] || YOUTUBE_1080_13187_GLOBE_Observer_Land_Cover_Final1_youtube_1080.mp4 (1920x1080) [243.2 MB] || FACEBOOK_720_13187_GLOBE_Observer_Land_Cover_Final1_facebook_720.webm (1280x720) [21.1 MB] || YOUTUBE_720_13187_GLOBE_Observer_Land_Cover_Final1_youtube_720.mp4 (1280x720) [244.9 MB] || 13187_GLOBE_Observer_Land_Cover_Final1.en_US.vtt [1.9 KB] || 13187_GLOBE_Observer_Land_Cover_Final1.en_US.srt [1.9 KB] || ", "hits": 30 }, { "id": 30215, "url": "https://svs.gsfc.nasa.gov/30215/", "result_type": "Hyperwall Visual", "release_date": "2019-03-15T18:00:00-04:00", "title": "Urban Growth in Las Vegas", "description": "The city of Las Vegas—meaning the meadows—was established in 1905. Its grassy meadows and artesian springs attracted settlers traveling across the arid Desert Southwest in the early 1800s. In the 1930s, gambling became legalized and construction of the Hoover Dam began, resulting in the city's first growth spurt. Since then, Las Vegas has not stopped growing. Population has reached nearly two million over the past decade, becoming one of the fastest growing metropolitan areas in the world. These false-color images show the rapid urbanization of Las Vegas between 1972 and 2018. The city streets and other impervious surfaces appear gray, while irrigated vegetation appears red. Over the years, the expansion of irrigated vegetation (e.g., lawns and golf courses) has stretched the city’s desert bounds. || ", "hits": 249 }, { "id": 13053, "url": "https://svs.gsfc.nasa.gov/13053/", "result_type": "Produced Video", "release_date": "2018-09-12T12:00:00-04:00", "title": "GLOBE Adopt a Pixel", "description": "Music Provided by Killer Tracks\"Feet on the Ground\" by Elliot Nash [PRS] and Jackson Buckley [PRS].Stock Video provided by Pond5 and Artbeats. || Screen_Shot_2018-09-11_at_4.42.53_PM_print.jpg (1024x574) [126.6 KB] || Screen_Shot_2018-09-11_at_4.42.53_PM.png (3824x2144) [8.5 MB] || Screen_Shot_2018-09-11_at_4.42.53_PM_searchweb.png (320x180) [94.1 KB] || Screen_Shot_2018-09-11_at_4.42.53_PM_thm.png (80x40) [7.4 KB] || GLOBE_Final.mov (1920x1080) [760.0 MB] || GLOBE_Final.mp4 (1920x1080) [59.7 MB] || GLOBE_Final.webm (1920x1080) [6.2 MB] || GLOBE_Final.en_US.srt [1003 bytes] || GLOBE_Final.en_US.vtt [1015 bytes] || ", "hits": 15 }, { "id": 30988, "url": "https://svs.gsfc.nasa.gov/30988/", "result_type": "Hyperwall Visual", "release_date": "2018-08-29T00:00:00-04:00", "title": "Earth System Diagram", "description": "Diagram showing parts of the Earth system. || earth_system_diagram_print.jpg (1024x574) [115.6 KB] || earth_system_diagram.png (4104x2304) [1.2 MB] || earth_system_diagram_searchweb.png (320x180) [63.5 KB] || earth_system_diagram_thm.png (80x40) [6.6 KB] || earth_system_diagram.hwshow [208 bytes] || ", "hits": 336 }, { "id": 40348, "url": "https://svs.gsfc.nasa.gov/gallery/esddatafor-societal-benefits/", "result_type": "Gallery", "release_date": "2018-04-24T00:00:00-04:00", "title": "ESD data for Societal Benefit", "description": "No description available.", "hits": 161 }, { "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": 85 }, { "id": 30761, "url": "https://svs.gsfc.nasa.gov/30761/", "result_type": "Hyperwall Visual", "release_date": "2017-07-29T00:00:00-04:00", "title": "Cape Canaveral and Orlando Landsat timeseries", "description": "Kennedy Space Center and Orlando land cover change.Since December 1968, the John F. Kennedy Space Center (KSC) has been NASA's primary launch center of human spaceflight. The center is home to one Launch Complex (LC) with two pads: LC-39A and LC-39B. Built on a swamp, the two pads were originally constructed in the 1960s as clean pads and served as a starting point for Apollo and our journey to the moon.This pair of false-color images shows KSC and the adjacent Cape Canaveral Air Force Station in 1972 and 2016. Acquired with the Landsat series of satellites, the scenes are shown in green, red, and near-infrared light, a combination that helps differentiate components of the landscape. Vegetation is red, while urban areas are brown to gray. West of launch pads 39A and 39B, you can see the facility’s 525-foot-tall Vehicle Assembly Building (for stacking NASA's largest rockets), the 3-mile-long Shuttle Landing Facility, and the iconic Kennedy Space Center Visitor Complex. As of 2017, only Launch Complex 39A is active, launching SpaceX's Falcon 9. Launch Complex 39B will serve as the launch site for the agency's Space Launch System rocket and Orion spacecraft on deep-space missions, including the journey to Mars. South of KSC, launch pads (active and inactive) line the coast of Cape Canaveral Air Force Station (CCAFS). || ", "hits": 55 }, { "id": 4483, "url": "https://svs.gsfc.nasa.gov/4483/", "result_type": "Visualization", "release_date": "2017-01-25T00:00:00-05:00", "title": "Monitoring Chimpanzee Habitats in western Tanzania", "description": "This visualization shows one location of the area in western Tanzania where the Jane Goodall Institute is working. After focusing on the region to the southeast of the Gombe National Park, this visualization shows the change in forest cover between 1972 and 1999. Forested areas are shown in shades of green; non-forested regions are shown in shades of brown. || zoomin_swipe_72_99.0325_print.jpg (1024x576) [243.0 KB] || zoomin_swipe_72_99_1080p30.mp4 (1920x1080) [17.0 MB] || yrs_1972_vs_1999 (1920x1080) [0 Item(s)] || zoomin_swipe_72_99_1080p30.webm (1920x1080) [1.8 MB] || zoomin_swipe_72_99_4483.key [19.4 MB] || zoomin_swipe_72_99_4483.pptx [19.0 MB] || zoomin_swipe_72_99_1080p30.mp4.hwshow [224 bytes] || ", "hits": 52 }, { "id": 30615, "url": "https://svs.gsfc.nasa.gov/30615/", "result_type": "Hyperwall Visual", "release_date": "2015-07-21T00:00:00-04:00", "title": "How Global Warming Stacks Up", "description": "Full series of graphs, all in one animation || full_series_4k_print.jpg (1024x574) [51.4 KB] || full_series_1080p.mp4 (1920x1080) [5.9 MB] || full_series_720p.mp4 (1280x720) [3.7 MB] || full_series_720p.webm (1280x720) [12.4 MB] || full_series_portugese_1080p.mp4 (1920x1080) [6.5 MB] || full_series_4k.mp4 (4104x2304) [14.1 MB] || full_series_360p.mp4 (640x360) [1.7 MB] || full_series (4104x2304) [0 Item(s)] || how_global_warming_stacks_up_30615.key [22.3 MB] || how_global_warming_stacks_up_30615.pptx [19.8 MB] || ", "hits": 526 }, { "id": 30545, "url": "https://svs.gsfc.nasa.gov/30545/", "result_type": "Hyperwall Visual", "release_date": "2014-11-05T15:00:00-05:00", "title": "Tesso Nilo National Park", "description": "Landsat timeseries of Tesso Nilo National Park || tesso_nilo_1990-2014_9_image_grid_print.jpg (1024x576) [242.3 KB] || tesso_nilo_1990-2014_9_image_grid_web.png (320x180) [115.4 KB] || tesso_nilo_1990-2014_9_image_grid_searchweb.png (320x180) [115.4 KB] || tesso_nilo_1990-2014_9_image_grid_thm.png (80x40) [15.4 KB] || tesso_nilo_1990-2014_9_image_grid.tif (5760x3240) [53.4 MB] || tesso_nilo_1990-2014_9_image_grid.pptx [1.3 MB] || tesso_nilo_1990-2014_9_image_grid.key [35.9 MB] || ", "hits": 28 }, { "id": 4137, "url": "https://svs.gsfc.nasa.gov/4137/", "result_type": "Visualization", "release_date": "2014-01-27T00:00:00-05:00", "title": "SVS Animation Sampler", "description": "The SVS Animation Sampler features a collection of thirty three recent animations created in the Scientific Visualization Studio. A short segment is shown from each animation. The speed of playback on some segments has been altered in order to include more of the original animation in the time allowed. A table enumerating each animation included in this sampler is displayed below. The full animations along with the documentation for each can be accessed through the links listed in the table. In addition, a PDF document that briefly summarizes each animation is available here.1. CME Strikes the Earth17. GPM Instruments2. CME Research Model18. Orbits of Landsat-83. Moon's Phase and Libration19. Landsat-8 Band Remix4. Moon's Permanently Shadowed Regions20. Landsat Land Use Change: 25 Years5. Lunar Topography21. Chelyabinsk Bolide Plume6. Global Hawk Measures Convection in \"Hot Tower\"22. Antarctic Ocean Flows7. Global Hawk Observes Saharan Air Layer23. Ice-Penetrating Radar8. GOES-5 Hurricane Simulation24. Antarctic Bedrock9. Perpetual Ocean25. Sea Ice10. IPCC Temperature Projection26. Snow Cover11. Van Allen Probes View Radiation Belts27. Active Fires12. Comet ISON28. Drought13. Lunar Maps29. Nile Basin Water Balance14. Orbits of Weather Satellites30. Greenland's Ice Sheet Flow15. NASA's Earth Observing Fleet31. Greenland's Mega-Canyon16. Landsat-8 Long Swath32. Solar Dynamics Observatory 33. Earthrise || ", "hits": 48 }, { "id": 30479, "url": "https://svs.gsfc.nasa.gov/30479/", "result_type": "Hyperwall Visual", "release_date": "2013-11-12T13:00:00-05:00", "title": "Coastal Dead Zones", "description": "The size and number of marine dead zones—areas where the deep water is so low in dissolved oxygen that sea creatures can’t survive—have grown explosively in the past half-century. Yellow circles on this map show the location of observed eutrophic zones. Red dots show where hypoxic zones have been observed.It’s no coincidence that dead zones occur downriver of places where land is intensively used for agriculture. Some of the fertilizer we apply to crops is washed into streams and rivers. Fertilizer-laden runoff triggers explosive planktonic algae growth in coastal areas. The algae die and rain down into deep waters, where their remains are like fertilizer for microbes. The microbes decompose the organic matter, using up the oxygen. Mass killing of fish and other sea life often results.Satellites can observe changes in the way the ocean surface reflects and absorbs sunlight when the water holds a lot of particles of organic matter. Darker blues in this image show higher concentrations of particulate organic matter, an indication of the overly fertile waters that can culminate in dead zones. || ", "hits": 446 }, { "id": 30212, "url": "https://svs.gsfc.nasa.gov/30212/", "result_type": "Hyperwall Visual", "release_date": "2013-10-21T12:00:00-04:00", "title": "Urbanization of Dubai", "description": "To expand the possibilities for beachfront tourist development, Dubai, undertook a massive engineering project to create hundreds of artificial islands along its Persian Gulf coastline. This image series shows the progress of the Palm Jumeirah Island from 2000 to 2011. In these false-color images, bare ground appears brown, vegetation appears red, water appears dark blue, and buildings and paved surfaces appear light blue or gray. The first image shows the area prior to the island’s construction. The final image, acquired in February 2011, shows vegetation on most of the palm fronds, and numerous buildings on the tree trunk. As the years pass, urbanization spreads, and the final image shows the area almost entirely filled by roads, buildings, and irrigated land. || ", "hits": 58 }, { "id": 30273, "url": "https://svs.gsfc.nasa.gov/30273/", "result_type": "Hyperwall Visual", "release_date": "2013-10-21T12:00:00-04:00", "title": "Spring on DC's Doorstep", "description": "On April 2, 2013, the Landsat Data Continuity Mission (LDCM) spacecraft obtained this true-color view of Washington, DC, and the surrounding suburban region. The image was made with 15-meter (49-feet) panchromatic spatial resolution data from the Observational Land Imager (OLI) onboard LDCM. Grey and white shades depict urban areas (e.g., city streets, buildings, sidewalks), while vegetation appears as shades of brown and dark green. In Washington, DC, gridded streets expand from the city’s center and the irrigated lawns of the National Mall, memorial parks, and golf courses appear green. Landsat satellites provide global coverage of the Earth’s surface every season of the year. Scientists use Landsat images like this one to study how land-cover and land-use change over time. Vegetation for example, appears mostly brown in this image because it was taken in early spring when most vegetation is still dormant following winter months. However, in just a few short weeks, this same scene will look very different (i.e., much “greener”) and LDCM will get a much different view of our Nation’s capital. || ", "hits": 33 }, { "id": 30166, "url": "https://svs.gsfc.nasa.gov/30166/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Amazon Deforestation", "description": "The state of Rondônia in western Brazil has become one of the most deforested parts of the Amazon. This image series, created with data from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA’s Terra satellite, shows the region from 2000 to 2010. By the year 2000, the frontier had reached the remote northwest corner of Rondônia. Intact forest is deep green, while cleared areas are tan (bare ground) or light green (crops, pastures). Deforestation follows a predictable pattern in these images. The first clearings appear in a fishbone pattern, arrayed along the edges of roads. Over time, the fishbones collapse into a mixture of forest remnants, cleared areas, and settlements. This pattern is common in the Amazon. Legal and illegal roads penetrate a remote part of the forest, and small farmers migrate to the area. They claim land along the road and clear some of it for crops. Within a few years, heavy rains and erosion deplete the soil, and crop yields fall. Farmers then convert the degraded land to cattle pasture, and clear more forest for crops. || ", "hits": 168 }, { "id": 30182, "url": "https://svs.gsfc.nasa.gov/30182/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Tehran Urbanization", "description": "Tehran, Iran’s capital, ranks high among the world’s fast-growing cities. In the early 1940s, Tehran’s population was about 700,000. By 1966, it had risen to 3 million, and by 1986—during the Iran-Iraq war—migrants brought the population to 6 million. Today, the metropolitan area has more than 10 million residents. This explosive growth has environmental and public health consequences, including air and water pollution and the loss of arable land.The Thematic Mapper sensor on NASA’s Landsat 5 satellite acquired these false-color images of Tehran on August 2, 1985, and July 19, 2009. In both images, vegetation appears bright green, urban areas range in color from gray to black, and barren areas appear brown. Whereas non-urbanized areas fringe the earlier image, urbanization fills almost the entire frame of the later image. Major roadways crisscrossing the city in 1985 remain visible in 2009, but many additional roadways have been added, particularly in the north. || ", "hits": 101 }, { "id": 30191, "url": "https://svs.gsfc.nasa.gov/30191/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Australian Dust over the Pacific Ocean", "description": "Strong westerly winds roaring across Australia’s desert interior were able to suspend dust particles for hundreds of miles before reaching the South Pacific Ocean. This image, taken by NASA’s Terra satellite on September 12, 2009, reveals the wedge of dust as it parts from the continent. Nearly weightless in nature, the wispy layer of dust is visible by its tan hue floating above the underlying stratus cloud deck. The dust is thought to have originated from the dry Lake Eyre basin, covering nearly one sixth of the continent. The lake fills during exceptionally wet rainy seasons (December-February) but remains dry during other months. As water evaporates from the lake, it leaves a fine layer of sediment that is easily lifted by wind. Sediment from dry lakebeds is a significant source of airborne dust worldwide. || ", "hits": 48 }, { "id": 11315, "url": "https://svs.gsfc.nasa.gov/11315/", "result_type": "Produced Video", "release_date": "2013-07-22T00:00:00-04:00", "title": "Landsat and Agriculture", "description": "The Landsat program has been running since 1972, having successfully launched 7 satellites into orbit. (Landsat 6, owned by a private company, failed at launch and never reached orbit.) Since 1972, Landsat satellites have been regularly collecting data about the Earth's land surface to help monitor our natural resources and study how land cover and land use are changing. || Landsat_timeline_5x3wall.png (6830x2304) [1.2 MB] || Landsat_timeline_5x3wall_web.jpg (317x107) [9.1 KB] || Landsat_timeline_5x3wall.png.hwshow [177 bytes] || ", "hits": 85 }, { "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": 54 }, { "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": 34 }, { "id": 30268, "url": "https://svs.gsfc.nasa.gov/30268/", "result_type": "Hyperwall Visual", "release_date": "2013-06-26T12:00:00-04:00", "title": "Crop Circles in the Desert", "description": "Over the past three decades, Saudi Arabia has been drilling for a resource more precious than oil. Engineers and farmers have tapped ancient reserves of water, dating back to the last Ice Age, to grow crops in the desert. This series of false-color satellite images show the evolution of agricultural operations in the Wadi As-Sirhan Basin. New vegetation appears bright green while dry vegetation or fallow fields appear rust colored. Dry, barren surfaces (mostly desert) are pink and yellow. Saudi Arabians have reached this underground water source by drilling wells through sedimentary rock, as much as a kilometer beneath the desert sands. Rainfall averages just 100 to 200 millimeters per year and usually does not recharge the underground aquifers, making the groundwater a non-renewable source. Although no one knows how much water lies beneath the desert—estimates range from 252 to 870 cubic kilometers—hydrologists believe it will only be economical to pump it for about 50 years. || ", "hits": 80 }, { "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": 24 }, { "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": 302 }, { "id": 11249, "url": "https://svs.gsfc.nasa.gov/11249/", "result_type": "Produced Video", "release_date": "2013-05-15T11:00:00-04:00", "title": "Landsat 8 Long Swath", "description": "After two months of on-orbit testing and calibration, Landsat 8 (previously called LDCM) fired its propulsion system on April 12, 2013, and ascended to its final orbit 438 miles (705 km) above Earth. The animation, made from scenes taken a week later on April 19, allows viewers to fly with the satellite from its final operating orbit. 56 continuous Landsat scenes from that orbit have been stitched together into a seamless view from Russia to South Africa. Orbiting at 16,800 mph (27,000 kph), Landsat 8 made this flight in just more than 20 minutes. The animation moves faster, covering 5,665 miles (9,117 kilometers) in nearly 16 minutes. You would have to be moving about 21,930 mph (35,290 kph) to get a similar view — only slightly slower than the Apollo astronauts who entered Earth's orbit from the moon at 25,000 mph (40,200 kph). We pan down the long swath of data from Landsat 8, starting in northern Russia, passing over the Caucasus Mountains, the Republic of Georgia, Armenia, Turkey (passing Lake Van), Iraq, and Saudi Arabia (the cities of Medina and Jeddah), crossing the Red Sea into Eritrea, Ethiopia, the Kenya-Uganda border and catching the eastern edge of Lake Victoria, Tanzania, Zimbabwe, a little bit of Mozambique, and ending in northern South Africa. || ", "hits": 56 }, { "id": 4072, "url": "https://svs.gsfc.nasa.gov/4072/", "result_type": "Visualization", "release_date": "2013-05-08T12:00:00-04:00", "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in the United States", "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change. New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. The visual compares the crop conditions or NDVI anomaly from year 2011-2012 to year 2012-2013. In the 2012-2013 year 7,342 more metric tons (MT) of wheat were produced then in the previous year, but 40,086 fewer metric tons of corn were produced. || ", "hits": 240 }, { "id": 30009, "url": "https://svs.gsfc.nasa.gov/30009/", "result_type": "Hyperwall Visual", "release_date": "2013-04-02T00:00:00-04:00", "title": "Landsat: 25 Years of Land-Use Change near Portland, Oregon", "description": "This animation shows land-use changes over 25 years around the area of Portland, Oregon, United States, and Mt. St. Helens in Washington state.In this visualization, north is to the right and west is up. The city of Portland, Oregon can just be seen on the left edge of the image, while Mt. St. Helens shows up as a large red/purple area in the middle right.Areas of vegetation are shown in blues, greens and yellows while areas lacking vegetation are shown in reds, oranges, and browns. As the animation cycles through the years 1984-2008, the harvest and regrowth cycle of commercial forestry operations can be seen, along with gradual re-vegetation of areas destroyed by the 1980 volcanic eruption of Mt. St. Helens. || ", "hits": 93 }, { "id": 4012, "url": "https://svs.gsfc.nasa.gov/4012/", "result_type": "Visualization", "release_date": "2012-12-07T00:00:00-05:00", "title": "Life Histories from Landsat: 25 Years in the Pacific Northwest Forest — North/South Tour", "description": "This visualization shows a sequence of Landsat-based data in the Pacific Northwest. There is one data set for each year representing an aggregate of the approximate peak of the growing season (around August). The data was created using a sophisticated algorithm called LandTrendr. LandTrendr analyzes 'stacks' of Landsat scenes, looking for statistical trends in the data and filtering out noise. The algorithm evaluated data from more than 1,800 Landsat Thematic Mapper images, nearly 1 Terabyte of raw imagery, to define the life histories of each of more than 336 million pixels on the landscape. The resulting trends identify periods of stability and change that are displayed as colors.In these false color images, the colors represent types of land; for example, blue areas are forests; orange/yellow areas are agriculture; and, purple areas are urban. Each 'stack' is representative of a Landsat scene. There are 22 stacks stitched together to cover most of the U.S. Pacific Northwest. This processed data is used for science, natural resource management, and education.We move in to the southwest corner of the data set near Redwood National Park and proceed on a slow tour through a portion of the data set. Time loops from 1984 through 2011 as we move. We move over to Mount Shasta, then up the Cascade Range, passing Crater Lake National Park, the Three Sisters, Mount Jefferson, Mount Hood, Mount Saint Helens, Mount Adams, Mount Rainier, Mount Baker, and the North Cascades National Park. Next we move west over Seattle and pass over Olympic National Park, then we head back south down the Willamette Valley back to Redwood National Park.Don't miss this related narrated visualization || ", "hits": 88 }, { "id": 4013, "url": "https://svs.gsfc.nasa.gov/4013/", "result_type": "Visualization", "release_date": "2012-12-07T00:00:00-05:00", "title": "Life Histories from Landsat: 25 Years in the Pacific Northwest Forest", "description": "This visualization shows a sequence of Landsat-based data in the Pacific Northwest. There is one data set for each year representing an aggregate of the approximate peak of the growing season (around August). The data was created using a sophisticated algorithm called LandTrendr. LandTrendr analyzes 'stacks' of Landsat scenes, looking for statistical trends in the data and filtering out noise. The algorithm evaluated data from more than 1,800 Landsat Thematic Mapper images, nearly 1 Terabyte of raw imagery, to define the life histories of each of more than 336 million pixels on the landscape. The resulting trends identify periods of stability and change that are displayed as colors.In these false color images, the colors represent types of land; for example, blue areas are forests; orange/yellow areas are agriculture; and, purple areas are urban. Each 'stack' is representative of a Landsat scene. There are 22 stacks stitched together to cover most of the U.S. Pacific Northwest. This processed data is used for science, natural resource management, and education.The visualization zooms into the Portland area showing different types of land such as agricultural, urban, and forests. We move south to a region that was evergreen forest for a number of years (blue), then was clear cut in 1999 (orange), then began to regrow (yellow). A graph shows the trajectories for a particular location in the clearcut as the years repeat. The dots represent the original data from Landsat; and, the line represents LandTrendr analysis. We move over to the Three Sisters region to show an area of pine forest that becomes infested with bark beetles in 2004. Next, we move to the southern foothills of Mount Hood where a budworm infestation is in progress; around 1991, the worms move on to another area and shrubs start to regrow. Next wemove to the east side of Mount Rainier National Park to see another budworm outbreak followed by shrub regrowth. Finally, we move to the west of Mount Rainier where we can see widespread clear cutting outside of the park, but no clear cutting inside the protected park land.Don't miss this related tour of the region. || ", "hits": 60 }, { "id": 11052, "url": "https://svs.gsfc.nasa.gov/11052/", "result_type": "Produced Video", "release_date": "2012-07-23T11:00:00-04:00", "title": "Best of \"Earth As Art\" - Top Five", "description": "A series of Landsat satellites have surveyed the Earth's surface since 1972. In that time, Landsat data have become a vital reference worldwide, used for understanding scientific issues related to land use and natural resources. However, some Landsat images are simply striking to look at - presenting spectacular views of mountains and valleys, forests and farms. To celebrate the 40th anniversary of Landsat, the US Geological Survey and NASA asked for your help in selecting the top five Earth As Art images. || ", "hits": 57 }, { "id": 11049, "url": "https://svs.gsfc.nasa.gov/11049/", "result_type": "Produced Video", "release_date": "2012-07-18T00:00:00-04:00", "title": "Landsat 40th Liveshot Roll-in Video", "description": "On Friday, July 20th, in advance of Landsat's 40th birthday and a live NASA press conference on Monday the 23rd, NASA scientists are available to discuss amazing & unprecedented images from space of your region. Cities grow, wildfires rage, rivers flood out of their beds and droughts shrink lakes and reservoirs — all captured by Landsat, the world's longest continuous record of Earth from space. Since 1972, Landsat satellites have been orbiting Earth, telling the story of soil moisture, urban spread, land use, assist disasters & recovery. Next year, the 8th Landsat satellite (LDCM) will be launched from California. The Landsat Data Continuity Mission (LDCM) will track food production and water resources, organize disaster recovery and monitor the impact of climate change.The following is broadcast quality video roll-ins in Apple ProRes 422, 1280x720, 59.94 fps. || ", "hits": 32 }, { "id": 11004, "url": "https://svs.gsfc.nasa.gov/11004/", "result_type": "Produced Video", "release_date": "2012-06-18T09:00:00-04:00", "title": "Mapping The Future With Landsat", "description": "Many non-profits are using Landsat as a tool to identify and protect areas that are important for conservation. This video shows how The African Wildlife Foundation (AWF) has used Landsat in the Democratic Republic of the Congo to protect a wildlife corridor in the Maringa Lopori Wanga (MLW) region. This area is located in the northern part of the Democratic Republic of the Congo (DRC) immediately south of the Congo River. Within its borders are two major reserves: The Lomako-Yokokala Faunal Reserve and the Luo Scientific Reserve. Wildlife travels between these two reserves via a natural wildlife corridor. With Landsat, the AWF identified this corridor as a critical area for conservation and then began working with the DRC government and local communities to map the region. This process has had and will have significant impact on land use planning and zoning in the Democratic Republic of the Congo. || ", "hits": 25 }, { "id": 3960, "url": "https://svs.gsfc.nasa.gov/3960/", "result_type": "Visualization", "release_date": "2012-06-15T00:00:00-04:00", "title": "Saving the Maringa Lopori Wanga Wildlife Corridor", "description": "Maringa Lopori Wanga (MLW) is a region in the northern part of the Democratic Republic of the Congo (DRC) immediately south of the Congo River. Within its borders are two major reserves: The Lomako-Yokokala Faunal Reserve and the Luo Scientific Reserve. Wildlife travels between these two reserves via a natural wildlife corridor. However, a main road bisects this wildlife corridor between the two reserves, along which numerous villages have been established over time. If the corridor is to remain open, villagers living along the route need to control sprawl. This is where scientists have joined in to help, by providing detailed satellite imagery of the area, allowing the people of the MLW region to more accurately zone their land for agricultural expansion. By providing accurate satellite zoning maps, the villages can still thrive and the wildlife corridor can remain open, which benefits both the people and the wildlife of this region of the DRC.Part of NASA's Landsat program mission is to provide tools to assist with global growth and urbanization planning. NASA's Land-Cover and Land-Use Change Program (LCLUC) uses Landsat data to develop socially relevant interdisciplinary science that can be applied to natural resource management questions, starting with agricultural land use change. More information on the varied use of Landsat data can be found at http://landsat.gsfc.nasa.gov/about/appl_matrix.html A fully narrated reporter package of this story, incorporating this element, can be seen here. || ", "hits": 25 }, { "id": 40098, "url": "https://svs.gsfc.nasa.gov/gallery/landsat/", "result_type": "Gallery", "release_date": "2012-02-23T00:00:00-05:00", "title": "Landsat", "description": "Since 1972, Landsat satellites have consistently gathered data about our planet for the benefit of the U.S. and the world. The Landsat data archive is the longest continuous remotely sensed global record of Earth’s surface, with all the data free and available to the public. The Landsat satellite missions, jointly managed by NASA and the U.S. Geological Survey, are a central pillar of our national remote sensing capability and established the U.S. as a leader in land imaging.\n\nLandsat 9 is the next satellite in the program, and will add more than 700 scenes a day to this invaluable archive. As Earth’s population approaches 8 billion, Landsat 9 will extend our ability to detect and characterize land surface changes, and will do so at a scale where researchers can differentiate between natural and human-induced change. \r\n \r\nLand cover and land use are changing globally at rates unprecedented in human history. These changes bring profound consequences for weather, ecosystems, resource management, the economy, carbon storage and emissions, human health, and other aspects of society. Landsat datasets are a critical tool in monitoring and managing essential resources in a changing world.\r\n\nBelow are highlights of Landsat videos and graphics. Follow this link to see the entire collection of Landsat multimedia.\n", "hits": 310 }, { "id": 10812, "url": "https://svs.gsfc.nasa.gov/10812/", "result_type": "Produced Video", "release_date": "2011-10-05T15:00:00-04:00", "title": "Landsat 8 (aka LDCM) Spacecraft Animations and Still Images", "description": "Landsat 8 (formerly known as LDCM, the Landsat Data Continuity Mission), a collaboration between NASA and the U.S. Geological Survey, will provide moderate-resolution (15 meter - 100 meter, depending on spectral frequency) measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave infrared, and thermal infrared. There are two instruments on the spacecraft, the Thermal InfraRed Sensor (TIRS) and the Operational Land Imager (OLI). Landsat 8 continues the nearly 50-year long Landsat land imaging data set. In addition to widespread routine use for land use planning and monitoring on regional to local scales, support of disaster response and evaluations, and water use monitoring, Landsat 8 measurements directly serve NASA research in the focus areas of climate, carbon cycle, ecosystems, water cycle, biogeochemistry, and Earth surface/interior. || ", "hits": 147 }, { "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": 25 }, { "id": 3818, "url": "https://svs.gsfc.nasa.gov/3818/", "result_type": "Visualization", "release_date": "2011-02-02T00:00:00-05:00", "title": "Earth Science Decadal Survey Missions", "description": "This animated graphic outlines the 15 NASA Earth science missions recommended by the National Research Council in its decadal survey report, published in 2007. These future missions will form the basis of a systematic space-based study of the Earth. For more information about the survey and the missions, see this NASA Science article, this decadal survey Web site, and the NRC's report. || ", "hits": 44 }, { "id": 3764, "url": "https://svs.gsfc.nasa.gov/3764/", "result_type": "Visualization", "release_date": "2010-08-19T14:00:00-04:00", "title": "How Much Carbon do Plants Take from the Atmosphere?", "description": "Plant life converts atmospheric carbon dioxide into biomass through photosynthesis, a process called 'fixing'. This is one of the main ways in which carbon dioxide is removed from the atmosphere and is a major part of the carbon cycle. The amount of carbon removed is called the gross primary productivity (GPP), and the change in GPP due to rising global temperatures is very important factor in the response of the Earth to climate change.Data from the MODIS instrument on NASA's Terra satellite has been recently used to calculate the GPP for the whole world for the last 10 years. This animation shows a time sequence of GPP on land as measured by MODIS during the years 2000 through 2009. Two things to note are the year-long productivity of the tropical regions and the large seasonal productivity in the northern hemisphere. A close look at the animation also reveals major urban areas for which the productivity is negligible.For a look at why the decade from 2000 through 2009 meant lower productivity, see the page 'How has the Atmospheric Carbon Uptake from Plants Changed in the Last Decade?' || ", "hits": 171 }, { "id": 3765, "url": "https://svs.gsfc.nasa.gov/3765/", "result_type": "Visualization", "release_date": "2010-08-19T14:00:00-04:00", "title": "How has the Atmospheric Carbon Uptake from Plants Changed in the Last Decade?", "description": "Plant life converts atmospheric carbon dioxide into biomass through photosynthesis. This process, called fixing, is one of the main ways in which carbon dioxide is removed from the atmosphere and is a major part of the carbon cycle. Plants release a fraction of this fixed carbon by respiration in order to get energy to live and to move carbon to other organs. The amount of carbon removed minus the amount of carbon respired is called the net primary productivity (NPP) and is the amount of carbon turned into biomass.The change in NPP due to rising global temperatures is a very important factor in the response of the Earth to climate change. Measurements of radiation and leaf area from the MODIS instrument on NASA's Terra satellite have recently been used to calculate the change in NPP for the whole world for the last 10 years. This animation shows a time sequence of annual NPP deviation from normal (or 'anomaly') on land as measured by MODIS during the years 2000 through 2009. Annual NPP, especially its departures from a long-term mean condition, will demonstrate the effects of environmental drivers such as ENSO (El Niño) events, climate change, droughts, pollution episodes, land degradation, and agricultural expansion.Earlier studies of productivity between 1982 and 1999 showed that prouctivity went up as global temperatures rose, because longer, warmer growing seasons were better for plant growth. This new study indicates that this is still true in the northern hemisphere, but that increased temperatures have meant increased drought and dryness in the tropics and the southern hemisphere. As a result, the global net productivity has actually decreased in the period from 2000 through 2009.Regionally, negative annual NPP anomalies were mainly caused by large-scale droughts. In 2000, droughts reduced NPP in North America and China; in 2002, droughts reduced NPP in North America and Australia; in 2003, drought caused by a major heat wave reduced NPP in Europe; in 2005, severe droughts in the Amazon, Africa, and Australia greatly reduced both regional and global NPP; from 2007 through 2009 over large parts of Australia, continuous droughts reduced continental NPP.For an animation of daily productivity, see the page How Much Carbon do Plants Take from the Atmosphere?. || ", "hits": 129 }, { "id": 3737, "url": "https://svs.gsfc.nasa.gov/3737/", "result_type": "Visualization", "release_date": "2010-06-22T00:00:00-04:00", "title": "Tropospheric Column Ozone", "description": "These visuals present retrieved global distribution of tropospheric column ozone from NASA's AURA spacecraft. Tropospheric ozone is close the ground and a component of pollution. This should be distinguished from high-altitude (stratospheric) ozone which shields the Earth's surface from ultraviolet radiation. Ozone measurements from the OMI and MLS instruments on board the Aura satellite are used for deriving global distributions of tropospheric column ozone (TCO). TCO is determined using the tropospheric ozone residual method which involves subtracting measurements of MLS stratospheric column ozone (SCO) from OMI total column ozone after adjusting for intercalibration differences of the two instruments using the convective-cloud differential method. The derived TCO field, which covers one complete year of mostly continuous daily measurements from January 2005 through December 2006, is used for studying the regional and global pollution on a timescale of a few days to months. MLS and OMI are two out of a total of four instruments on board the Aura spacecraft which is flown in a sunsynchronous polar orbit at 705 km altitude with a 98.2 degree inclination. The spacecraft has an equatorial crossing time of 1:45 pm (ascending node) with around 98.8 min per orbit (14.6 orbits per day on average). OMI is a nadir-scanning instrument that at visible (350-500 nm) and UV wavelength channels (UV-1: 270-314 nm; UV-2: 306-380 nm) detects backscattered solar radiance to measure column ozone. The MLS instrument is a thermal-emission microwave limb sounder that measures vertical profiles of mesospheric, stratospheric, and upper tropospheric temperature, ozone and other constituents from limb scans ahead of the Aura satellite. The MLS profile measurements are taken about 7 min before OMI views the same location during ascending (daytime) orbital tracks. These are referred as \"collocated\" measurements between OMI and MLS. The data shows signals due to convection, biomass burning, stratospheric influence, pollution, and transport. They are capable of capturing the spatiotemporal evolution of tropospheric column ozone. For more information see the links below: http://www.nasa.gov/vision/earth/environment/ozone_resource_page.htmlhttp://acdb-ext.gsfc.nasa.gov/Data_services/cloud_slice/#nd || ", "hits": 57 }, { "id": 3707, "url": "https://svs.gsfc.nasa.gov/3707/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Land Changes through NDVI", "description": "Satellite data can be used to monitor the health of plant life from space. The Normalized Difference Vegetation Index (NDVI) provides a simple numerical indicator of the health of vegetation which can be used to monitoring changes in vegetation over time. This animation shows the seasonal changes in vegetation by fading between average monthly NDVI data from 2004. This animation of land changes is match framed to animation id a003708, a003709, a003710, and a003711. || ", "hits": 144 }, { "id": 3708, "url": "https://svs.gsfc.nasa.gov/3708/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Tropospheric Ozone", "description": "Satellite data can be used to monitor the health of the atmosphere from space. This animation of atmospheric changes is match framed to animation entries 3707, 3709, 3710, and 3711. This dataset shows tropospheric ozone, which is close to the ground and a component of pollution. This should be distinguished from high altitude (stratospheric) ozone which shields the Earth's surface from ultraviolet radiation.For more information about tropospheric ozone see the links below:http://www.nasa.gov/vision/earth/environment/ozone_resource_page.htmlhttp://www.ozonelayer.noaa.gov/science/basics.htm || ", "hits": 43 }, { "id": 3709, "url": "https://svs.gsfc.nasa.gov/3709/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Biosphere", "description": "Satellite data can be used to monitor the health of the biosphere from space. This animation of seasonal changes to the biosphere is match framed to animation entries 3707, 3708, 3710, and 3711. The SeaWiFS instrument is carried aboard the satellite OrbView-2, providing important information about the oceans, the land, and the life within them. On land, the dark greens show where there is abundant vegetation and tans show relatively sparse plant cover. In the oceans, red, yellow, and green pixels show dense phytoplankton blooms, those regions of the ocean that are the most productive over time, while blues and purples show where there is very little of the microscopic marine plants called phytoplankton. For most of the world's oceans, the most important things that influence its color are phytoplankton. Phytoplankton are very small, single-celled plants, generally smaller than the size of a pinhead that contain a green pigment called chlorophyll. All plants (on land and in the ocean) use chlorophyll to capture energy from the sun and through the process known as photosynthesis convert water and carbon dioxide into new plant material and oxygen. Although microscopic, phytoplankton can bloom in such large numbers that they can change the color of the ocean to such a degree that we can measure that change from space. The basic principle behind the remote sensing of ocean color from space is this: the more phytoplankton in the water, the greener it is...the less phytoplankton, the bluer it is. For more information, visit http://oceancolor.gsfc.nasa.gov/SeaWiFS/. || ", "hits": 99 }, { "id": 3710, "url": "https://svs.gsfc.nasa.gov/3710/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Cryosphere", "description": "Sea ice is frozen seawater floating on the surface of the ocean. Some sea ice is semi-permanent, persisting from year to year, and some is seasonal, melting and refreezing from season to season. The sea ice cover reaches its minimum extent at the end of each summer and the remaining ice is called the perennial ice cover. The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA Earth Observing System (EOS) Aqua satellite, provides data mapped to a polar stereographic grid at 12.5 km spatial resolution. This satellite data can be used to monitor the health of the cryosphere from space. This animation of sea ice changes in the Arctic is match framed to animation entries 3707, 3708, 3709, and 3711. Over the water, Arctic sea ice changes from day to day showing a running 3-day maximum sea ice concentration in the region where the concentration is greater than 15%. The blueish white color of the sea ice is derived from a 3-day running maximum of the AMSR-E 89 GHz brightness temperature. Over the terrain, monthly data from the seasonal Blue Marble Next Generation fades slowly from month to month.For more information about sea ice see http://nsidc.org/data/amsre or http://modis-snow-ice.gsfc.nasa.gov. || ", "hits": 35 }, { "id": 3711, "url": "https://svs.gsfc.nasa.gov/3711/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Water", "description": "Satellite data can be used to observe the dramatic ebb and flow of the our planet's water system from space. This animation of QuikSCAT's sea surface winds is match framed to animation entries 3707, 3708, 3709, and 3710. The SeaWinds Scatterometer instrument on the QuikSCAT satellite captures the always moving and complex sea surface. The mission has also provided critical information for monitoring, modeling, forecasting and researching our atmosphere, ocean and climate.By any measure of success, the 10-year-old QuikSCAT mission is a unique national resource that has achieved and far surpassed its science objectives. Designed for a two-year lifetime, QuikSCAT has been used around the globe by the world's operational meteorological agencies to improve weather forecasts and identify the location, size and strength of hurricanes and other storms in the open ocean. More information on QuikSCAT is online at: http://winds.jpl.nasa.gov/missions/quikscat/index.cfm. || ", "hits": 23 }, { "id": 40027, "url": "https://svs.gsfc.nasa.gov/gallery/animations/", "result_type": "Gallery", "release_date": "2010-03-04T00:00:00-05:00", "title": "NASA and Agriculture Animations", "description": "No description available.", "hits": 4 }, { "id": 10496, "url": "https://svs.gsfc.nasa.gov/10496/", "result_type": "Produced Video", "release_date": "2009-10-07T09:00:00-04:00", "title": "Science for a Hungry World: Land Cover Land Use Change", "description": "NASA remote sensing data is used to measure how much land is used for agriculture and where farms are in relation to population density. This episode explore the transition between native vegetation, farms, and cities. Satellites show where land use changes have been most significant.For complete transcript, click here. || 320x190.10127_print.jpg (1024x576) [132.1 KB] || 80x40_thumbnail.jpg (80x40) [5.6 KB] || 160x80_gallery_thumbnail.jpg (160x80) [16.8 KB] || 320x190_web_thumbnail.jpg (320x239) [73.7 KB] || 320x190_web_thumbnail_searchweb.jpg (320x180) [121.2 KB] || LCLUC_1280x720_AppleTV.webmhd.webm (960x540) [59.0 MB] || LCLUC_1280x720_AppleTV.m4v (960x540) [157.9 MB] || LCLUC_1280x720_H264.mov (1280x720) [178.8 MB] || LCLUC_640x480_ipod.m4v (640x360) [50.4 MB] || LCLUC_320x240_ipod.mp4 (320x180) [18.5 MB] || Ag_LCLUC_Ep3_FullRes.mov (1280x720) [4.2 GB] || bigmovie-agriculture_part3_video.hwshow || ", "hits": 41 }, { "id": 3649, "url": "https://svs.gsfc.nasa.gov/3649/", "result_type": "Visualization", "release_date": "2009-10-06T12:00:00-04:00", "title": "Food Consumers versus Food Producers", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. || ", "hits": 24 }, { "id": 3650, "url": "https://svs.gsfc.nasa.gov/3650/", "result_type": "Visualization", "release_date": "2009-10-06T12:00:00-04:00", "title": "Food Insecure Countries", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. Food security in 70 developing countries is projected to deteriorate over the next decade, according to USDA's Economic Research Service. After rising nearly 11 percent from 2007 to 2008, the number of food-insecure people in the developing countries analyzed by ERS researchers is estimated to rise to 833 million in 2009, an almost 2-percent rise from 2008 to 2009. Despite a decline in food prices in late 2008, deteriorating purchasing power and food security are expected in 2009 because of the growing financial deficits and higher inflation that have occurred in recent years. Food-insecure people are defined as those consuming less than the nutritional target of 2,100 calories per day per person. || ", "hits": 24 }, { "id": 3629, "url": "https://svs.gsfc.nasa.gov/3629/", "result_type": "Visualization", "release_date": "2009-10-05T12:00:00-04:00", "title": "Crop Intensity", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events.To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it is important to understand the spatial distribution of croplands. To do this a global croplands mask to identify all sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands vary from year to year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop cover. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will have higher confidence values in the crop mask as compared to less intensively farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. || ", "hits": 42 }, { "id": 3637, "url": "https://svs.gsfc.nasa.gov/3637/", "result_type": "Visualization", "release_date": "2009-10-05T12:00:00-04:00", "title": "Deforestation of Rondonia, Brazil from 1975 to 2009", "description": "In the 1970s, Brazil's Program of National Integration built roads across the Amazon and settled land along these roads with colonists. These roads were catalysts of land use change in the Amazon.Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primary producer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen.Data taken in 1975 and 2009 from the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. || ", "hits": 202 }, { "id": 3632, "url": "https://svs.gsfc.nasa.gov/3632/", "result_type": "Visualization", "release_date": "2009-09-14T00:00:00-04:00", "title": "Evapotranspiration from Landsat", "description": "Instruments on the Landsat satellites capture images in the visible spectrum, but they also take images in wavelengths invisible to the naked eye. Landsat's thermal imager captures land surface temperature data. As farmers irrigate fields, water evaporates from the soil and transpires from plants' leaves. The combined process is called evapotranspiration. Evapotranspiring water absorbs energy, so farm fields consuming more water appear cooler in the thermal band. Landsat-based evapotranspiration measurements provide an objective way for water managers to assess on a field-by-field basis how much water agricultural growers are using. The measurements have even been used to help settle water rights conflicts in court. || ", "hits": 107 }, { "id": 10484, "url": "https://svs.gsfc.nasa.gov/10484/", "result_type": "Produced Video", "release_date": "2009-09-14T00:00:00-04:00", "title": "Landsat: A Space Age Water Gauge", "description": "Agriculture consumes a great deal of water. As demand for water increases, the pressure's on to make sure every drop counts. || ", "hits": 39 }, { "id": 3624, "url": "https://svs.gsfc.nasa.gov/3624/", "result_type": "Visualization", "release_date": "2009-09-13T01:00:00-04:00", "title": "2008 Northern Australia Fire Observations", "description": "The data used to generate this animation were collected by the NASA MODIS intrument. Data are collected four times per day using two satellite platforms. The instrument design included the capability to identify active fires sensing in the middle infrared part of the spectrum. The fire data used in the animation were generated by the MODIS advanced processing system at NASA. The MODIS Global Fire data are available free of charge and within a few hours of satellite acquisition. The fire data are used by scientists and fire managers around the world. The fires that these data show include - savanna fires, wildfires, managed fires, agricultural fires, and thermal anomalies associated with power plants or gas flares. Fires occur around the world at different times of the year. MODIS is entering its 10th year of data collection and we are using the data to study the global distribution of fires and document changed in fire regimes due to climate or land use change. These fire data are used by Australian fire managers and scientists. Dr Chris Justice and the MODIS team participated in the NAILSMA experiment. NAILSMA was commissioned by the Northern Australia Land and Water Taskforce to convene a forum to bring together key Indigenous water experts from across the north of Australia to discuss their water interests and issues. This part of Northern Australia is an important area in terms of biodiversity and fire is an integral ecosystem process. We are interested in applying these data and other data from the MODIS instrument to better understand the occurence of fire and its characteristics in the Northern Territories with respect to emissions of trace gases into the atmosphere an the imacts of fire on the ecosystem. || ", "hits": 29 }, { "id": 3625, "url": "https://svs.gsfc.nasa.gov/3625/", "result_type": "Visualization", "release_date": "2009-08-26T00:00:00-04:00", "title": "Honey Bees Weigh In on Climate", "description": "This animation illustrates the relationship between the annual vegetation cycle and seasonal variations in the weights of honey bee hives. The weight of a hive increases in the spring as bees bring back nectar from flowering plants. The change in hive weight over time can be compared with satellite measurements of vegetation. Tracking a large number of hives this way can reveal the effects of changing climate and land use on the interaction of plants and pollinators. Data from this hive in Highland, Maryland and others suggests that for some locations in the U.S., spring is arriving earlier by as much as half a day per year, probably due to a combination of climate and the warming effect of urbanization.This animation has been incorporated into the video \"Feeling the Sting of Climate Change,\" which provides more background and introduces HoneyBeeNet, a central repository for hive weight data from across the U.S. || ", "hits": 75 }, { "id": 3602, "url": "https://svs.gsfc.nasa.gov/3602/", "result_type": "Visualization", "release_date": "2009-07-07T00:00:00-04:00", "title": "TDRS Poster of the Northern Hemisphere", "description": "The Tracking and Data Relay Satellites (TDRS) comprise the communication satellite component of the Tracking and Data Relay Satellite System (TDRSS). TDRSS is a communication signal relay system which provides tracking and data aquisition services between low earth orbiting spacecraft and control and/or data processing facilities. TDRS supports many of NASA's missions including the space shuttles, Hubble and COBE. This image was created as a background for a 6 foot by 4 foot mural for display in Building 12 at Goddard Space Flight Center. The final poster will include a indication of the TDRSS ground segment located newr LasCruces, New Mexico as well as insets of several of the spacecraft that TDRSS supports. || ", "hits": 22 }, { "id": 3584, "url": "https://svs.gsfc.nasa.gov/3584/", "result_type": "Visualization", "release_date": "2009-06-05T00:00:00-04:00", "title": "A Global View of Seasonal NDVI", "description": "Satellite data can be used to monitor the health of plant life from space. The Normalized Difference Vegetation Index (NDVI) provides a simple numerical indicator of the health of vegetation which can be used to monitoring changes in vegetation over time. This animation shows the seasonal changes in vegetation by fading between average monthly NDVI data from 2004. The loop begins on September 24 and repeats six times during one full rotation of the globe at a rate of one frame per day. The fade for each month is complete on the 15th of each month. || ", "hits": 863 }, { "id": 3457, "url": "https://svs.gsfc.nasa.gov/3457/", "result_type": "Visualization", "release_date": "2009-05-27T00:00:00-04:00", "title": "Three Images of North America", "description": "A Song for the Horse Nation, an exhibit at the National Museum of the American Indian shown from November 14, 2009 through March 7, 2011, presents the epic story of the horse's influence on American Indian tribes from the 1600s to the present. Drawing upon a treasure-trove of stunning historical objects-including ledger drawings, hoof ornaments, beaded bags, hide robes, paintings, and other objects-and new pieces by contemporary Native artists, the exhibition reveals how horses shaped the social, economic, cultural, and spiritual foundations of American Indian life, particularly on the Great Plains.The story of American Indians and horses is one of the great sagas of human contact with the animal kingdom. The foundation of this extraordinary relationship was laid in 1493, when Christopher Columbus brought the first horses to the Western Hemisphere. As Spaniards surged westward from the Caribbean and northwards from Mexico, American Indians caught their first glimpse of the horse, and soon adopted it into their world. Horses revolutionized Native life and became an integral part of tribal cultures, honored in objects, stories, songs, and ceremonies. By the 1800s, Native American horsemanship was legendary in American culture at large, celebrated in paintings, photographs, Wild West shows, and later in movies and television programs. Today, the image of the mounted Native warrior remains fixed in the American imagination. With traditional and contemporary stories, songs, and poetry and using archival photographs, lithographs, maps, books, magazines, and audio-visual presentations, the exhibition brings the story up to the present, demonstrating that the horse, though no longer ubiquitous, is still venerated in Indian Country today.This exhibition is an outgrowth of the NMAI publication A Song for the Horse Nation: Horses in Native American Cultures, edited by George P. Horse Capture and Emil Her Many Horses (2006).In support of this exhibit, these three images showing the topography and seasonal landcover over North America were created as a background for an 'interactive map' where museum visitors can learn about the relationship between humans and horses over hundreds of years, and how trade, migration, and technology impacted this relationship. || ", "hits": 54 }, { "id": 3523, "url": "https://svs.gsfc.nasa.gov/3523/", "result_type": "Visualization", "release_date": "2008-01-07T00:00:00-05:00", "title": "Seasonal Landcover for Science On a Sphere", "description": "The Blue Marble Next Generation (BMNG) data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This series of images fades from month to month showing seasonal variations such as snowfall, spring greening and droughts in a seamless fashion. The data set,derived from monthly data collected in 2004, is shown on a flat cartesian grid. The ocean color is derived from applying a depth shading to the bathymetry data. Where available, the Antarctica coverage shown is the Landsat Image Mosaic of Antarctica (LIMA). || ", "hits": 35 }, { "id": 3329, "url": "https://svs.gsfc.nasa.gov/3329/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Photos of Tamarisk Seasonal Changes at the Grand Staircase Escalante National Monument, Utah", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor, and predict the spread of significant invasive plant species. These photos show the seasonal change of one daunting invasive species, the Tamarisk tree, at the Grand Staircase Escalante National Monument in Utah. It's important to note the slight differences in the Tamarisk growing season when compared to some of the plant life in the foreground and the trees in the background. These slight seasonal differences allow the science team to distinguish Tamarisk from other vegetation through satellite sensors. In these photos, the Tamarisk is the pink flowering foliage to the center right of the images. || ", "hits": 12 }, { "id": 3330, "url": "https://svs.gsfc.nasa.gov/3330/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Creating the Tamarisk Habitat Suitability Map (for General Use)", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats.The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with land cover classification data the likely habitat for Tamarisk can be derived. || ", "hits": 17 }, { "id": 3331, "url": "https://svs.gsfc.nasa.gov/3331/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Creating the Tamarisk Habitat Suitability Map (for Science Presentations)", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER, and commercial remote sensing data, and create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats.The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining daily Normalized Differential Vegetation Index (NDVI), daily Enhanced Vegetation Index (EVI), and MODIS Land Cover Classification data the likely Tamarisk habitat suitability map can be derived. || ", "hits": 9 }, { "id": 3332, "url": "https://svs.gsfc.nasa.gov/3332/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Deriving the Tamarisk Suitability Map: The Complete Story", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. Tamarisk (Salt Ceder) is an invasive plant that typically grows near water and crowds out native species. Tamarisk reflective properties differ from those of its neighboring vegetation throughout the annual life cycle. These different reflective properties can be seen by the naked eye (as in the accompanying seasonal photographs), and can also be seen by satellite sensors. Current Tamarisk infestations and suitable habitats for future growth can be derived from various data sets, including EVI, NDVI, and land cover classifications. || ", "hits": 15 }, { "id": 3277, "url": "https://svs.gsfc.nasa.gov/3277/", "result_type": "Visualization", "release_date": "2005-10-19T00:00:00-04:00", "title": "Seasonal Landcover Change over the Nile Delta in 2004", "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Nile Delta. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ", "hits": 18 }, { "id": 3278, "url": "https://svs.gsfc.nasa.gov/3278/", "result_type": "Visualization", "release_date": "2005-10-12T00:00:00-04:00", "title": "Seasonal Landcover Change over Eastern Asia in 2004", "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Eastern Asia. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ", "hits": 13 }, { "id": 3269, "url": "https://svs.gsfc.nasa.gov/3269/", "result_type": "Visualization", "release_date": "2005-10-11T12:00:00-04:00", "title": "Seasonal Landcover Change over Western Asia in 2004", "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Westerm Asia. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ", "hits": 63 } ] }