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    "results": [
        {
            "id": 5613,
            "url": "https://svs.gsfc.nasa.gov/5613/",
            "result_type": "Visualization",
            "release_date": "2026-02-04T00:00:00-05:00",
            "title": "Shifting Distribution of Land Temperature Anomalies, 1964-2025",
            "description": "The change in the distribution of land temperature anomalies over the years 1951 to 2025.",
            "hits": 626
        },
        {
            "id": 3335,
            "url": "https://svs.gsfc.nasa.gov/3335/",
            "result_type": "Visualization",
            "release_date": "2025-12-31T00:00:00-05:00",
            "title": "Meteor Crater Topography",
            "description": "The Earth and Mars are two planets which evolved very differently. By studying locations on Earth whose environment might be similar with that of Mars, scientists are able to theorize about 'the red planet' as well. Meteor Crater is one such study site in the Colorado Plateau, 73 km east of Flagstaff, Arizona. After the meteorite hit the surface of the Arizona desert thousands of years ago, some of the rocks were pushed up along the edge to form a rim around the crater. High resolution (2 m) digital elevation of the site, collected by aerial overflights of the region, is shown here overlain with a natural color IKONOS image. || ",
            "hits": 45
        },
        {
            "id": 31176,
            "url": "https://svs.gsfc.nasa.gov/31176/",
            "result_type": "Hyperwall Visual",
            "release_date": "2025-02-10T00:00:00-05:00",
            "title": "Two Decades of Soil Moisture from Space",
            "description": "GRACE soil moisture over the continental United States",
            "hits": 129
        },
        {
            "id": 31178,
            "url": "https://svs.gsfc.nasa.gov/31178/",
            "result_type": "Hyperwall Visual",
            "release_date": "2025-02-10T00:00:00-05:00",
            "title": "Monitoring Global Groundwater from Space",
            "description": "Global GRACE Soil Moisture from 2003 to 2025.",
            "hits": 194
        },
        {
            "id": 5452,
            "url": "https://svs.gsfc.nasa.gov/5452/",
            "result_type": "Visualization",
            "release_date": "2025-01-10T11:00:00-05:00",
            "title": "Shifting Distribution of Land Temperature Anomalies, 1964-2024",
            "description": "The change in the distribution of land temperature anomalies over the years 1964 to 2024. This version is in Celsius, a Fahrenheit version is also available. || GISTEMPDist_2024_C.00850_print.jpg (1024x576) [45.7 KB] || GISTEMPDist_2024_C.00850_searchweb.png (320x180) [13.7 KB] || GISTEMPDist_2024_C.00850_thm.png [2.1 KB] || GISTEMPDist_2024_C.mp4 (3840x2160) [21.1 MB] ||",
            "hits": 335
        },
        {
            "id": 31242,
            "url": "https://svs.gsfc.nasa.gov/31242/",
            "result_type": "Hyperwall Visual",
            "release_date": "2024-09-23T00:00:00-04:00",
            "title": "Landsat 8 and 9 Composite of Rwanda",
            "description": "Landsat 8 and Landsat 9 scenes from July 17, 18 and 25, 2023 are combined to make a relatively cloud free mosaic of Rwanda || ",
            "hits": 15
        },
        {
            "id": 31307,
            "url": "https://svs.gsfc.nasa.gov/31307/",
            "result_type": "Hyperwall Visual",
            "release_date": "2024-08-28T00:00:00-04:00",
            "title": "CYGNSS Soil Moisture",
            "description": "Animation of soil moisture || cygnss_soil_moisture_20240609_print.jpg (1024x576) [148.5 KB] || cygnss_soil_moisture_20240609_searchweb.png (320x180) [45.0 KB] || cygnss_soil_moisture_20240609_thm.png (80x40) [7.4 KB] || cygnss_soil_moisture_20240609.tif (1920x1080) [1.0 MB] || cygnss_soil_moisture_1080p30.webm (1920x1080) [17.5 MB] || cygnss_soil_moisture_1080p30.mp4 (1920x1080) [101.8 MB] || cygnss_soil_moisture.hwshow [210 bytes] || ",
            "hits": 169
        },
        {
            "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": 122
        },
        {
            "id": 5211,
            "url": "https://svs.gsfc.nasa.gov/5211/",
            "result_type": "Visualization",
            "release_date": "2024-01-12T11:00:00-05:00",
            "title": "Shifting Distribution of Land Temperature Anomalies, 1963-2023",
            "description": "The change in the distribution of land temperature anomalies over the years 1963 to 2023. This version is in Celsius, a Fahrenheit version is also available. || 2023_GISTEMP_Dist_C.00899_print.jpg (1024x576) [38.5 KB] || 2023_GISTEMP_Dist_C.00899_searchweb.png (320x180) [13.9 KB] || 2023_GISTEMP_Dist_C.00899_thm.png (80x40) [2.3 KB] || 2023_GISTEMP_Dist_C.mp4 (3840x2160) [22.3 MB] || 2023_GISTEMP_Dist_C.mp4.hwshow || ",
            "hits": 130
        },
        {
            "id": 31263,
            "url": "https://svs.gsfc.nasa.gov/31263/",
            "result_type": "Hyperwall Visual",
            "release_date": "2023-11-15T00:00:00-05:00",
            "title": "ECOSTRESS observes Summer 2023 heatwaves",
            "description": "ECOSTRESS image of Houston, Texas heatwave || ecostress_00109_Houston_13Jun2023_print.jpg (1024x724) [400.0 KB] || ecostress_00109_Houston_13Jun2023.png (3507x2480) [7.2 MB] || ecostress_00109_Houston_13Jun2023_searchweb.png (320x180) [129.1 KB] || ecostress_00109_Houston_13Jun2023_thm.png (80x40) [8.4 KB] || ecostress_00109_Houston_13Jun2023.hwshow [115 bytes] || ",
            "hits": 29
        },
        {
            "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": 5065,
            "url": "https://svs.gsfc.nasa.gov/5065/",
            "result_type": "Visualization",
            "release_date": "2023-05-31T00:00:00-04:00",
            "title": "Shifting Distribution of Land Temperature Anomalies, 1962-2022",
            "description": "The change in the distribution of land temperature anomalies over the years 1962 to 2022. This version is in Celsius, a Fahrenheit version is also available. || GISTEMPDist2022_C.00890_print.jpg (1024x576) [49.0 KB] || GISTEMPDist2022_C.00890_searchweb.png (320x180) [18.8 KB] || GISTEMPDist2022_C.00890_thm.png (80x40) [2.5 KB] || GISTEMPDist2022_C.mp4 (3840x2160) [17.1 MB] || GISTEMPDist2022_C.webm (3840x2160) [4.2 MB] || ",
            "hits": 296
        },
        {
            "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": 4478,
            "url": "https://svs.gsfc.nasa.gov/4478/",
            "result_type": "Visualization",
            "release_date": "2022-03-18T09:00:00-04:00",
            "title": "The Reference Elevation Model of Antarctica (REMA)",
            "description": "This visualization explores the spatial resolution of the REMA data.  The camera starts out at a global view of Antarctica before zooming into the Ross Archipelago region. RADARSAT DEM data is shown as the camera pushes in, showing the limits of the data resolution.  A wipe transition reveals the REMA data, exposing additional details as the camera moves down towards the surface.  Terrain is represented as a mesh to show the full resolution of the data. The camera flies up a valley, exploring the detailed REMA data.  LIMA imagery is revealed at the end of the visualization.  This video is also available on our YouTube channel. || REMA_comp_04_hw_04150_print.jpg (1024x576) [77.2 KB] || REMA_comp_04_hw_04150_searchweb.png (180x320) [45.3 KB] || REMA_comp_04_hw_04150_thm.png (80x40) [3.4 KB] || REMA_comp_04_4k_1080p30_2.webm (1920x1080) [21.7 MB] || REMA_comp_04_4k_1080p30_2.mp4 (1920x1080) [166.5 MB] || REMA_comp_04_4k_1080p60_2.mp4 (1920x1080) [171.3 MB] || captions_silent.25620.en_US.srt [43 bytes] || REMA_comp_04_4k_2160p30_2.mp4 (3840x2160) [587.2 MB] || REMA_comp_04_4k_2160p60_2.mp4 (3840x2160) [593.2 MB] || REMA_comp_04_4k_1080p30_2.mp4.hwshow [191 bytes] || ",
            "hits": 226
        },
        {
            "id": 14086,
            "url": "https://svs.gsfc.nasa.gov/14086/",
            "result_type": "Produced Video",
            "release_date": "2022-02-10T13:00:00-05:00",
            "title": "Landsat 9 Data Release",
            "description": "The data from Landsat 9 is available for anyone to download from the USGS data archive. Launched on Sept. 27, 2021, the new satellite and its instruments went through testing and calibration by the mission team. Now, with both Landsat 9 and Landsat 8 in orbit, there will be high-quality, medium-resolution images of Earth’s landscapes and coastal regions every eight days.Music: Amazing Discoveries by Damien Deshayes [SACEM], published by KTSA Publishing [SACEM]  available from Universal Production Music; The Troubleshooter by Anders Johan Greger Lewen [STIM], published by Primetime Productions, Ltd [PRS]; Bright Patterns by Gregg Lehrman [ASCAP] and John Christopher Nye [ASCAP], published by Soundcast Music [SESAC]Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 14086_Landsat9_data-print.jpg (1920x1080) [626.5 KB] || 14086_Landsat9_data-print_searchweb.png (320x180) [53.8 KB] || 14086_Landsat9_data-print_thm.png (80x40) [4.7 KB] || 14086_Landsat9_data_MASTER-pr.mov (1920x1080) [3.1 GB] || 14086_Landsat9_data-yt.mp4 (1920x1080) [369.6 MB] || 14086_Landsat9_data-tw.mp4 (1920x1080) [50.5 MB] || 14086_Landsat9_data-yt.webm (1920x1080) [25.2 MB] || 14086_Landsat9_data.en_US.srt [4.9 KB] || 14086_Landsat9_data.en_US.vtt [4.7 KB] || ",
            "hits": 155
        },
        {
            "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": 136
        },
        {
            "id": 13890,
            "url": "https://svs.gsfc.nasa.gov/13890/",
            "result_type": "Produced Video",
            "release_date": "2021-09-01T09:45:00-04:00",
            "title": "A Trip Through Time with Landsat 9",
            "description": "For half a century, the Landsat mission has shown us Earth from space. Now, come along with us on a ‘roadtrip’ through the decades to see how the technology on this NASA and U.S. Geological Survey partnership has evolved with the times to provide an unbroken data record. Our roadtrip begins with the idea for an Earth-observing sensor in the 1960s and then cruises through the first game-changing launches in the 1970s, the advent of natural color composite images in the 1980s, the increased global coverage in the 1990s, the move to free and open data archives in the 2000s, the modern era of Landsat observations in the 2010s, and now the launch of Landsat 9 in 2021. Landsat satellites have allowed us to better manage our natural resources, and will continue to help people track the effects of climate change into the future.The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey (USGS). Landsat satellites have been consistently gathering data about our planet since 1972. They continue to improve and expand this unparalleled record of Earth's changing landscapes for the benefit of all. || ",
            "hits": 48
        },
        {
            "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": 44
        },
        {
            "id": 4891,
            "url": "https://svs.gsfc.nasa.gov/4891/",
            "result_type": "Visualization",
            "release_date": "2021-04-23T00:00:00-04:00",
            "title": "Shifting Distribution of Land Temperature Anomalies, 1951-2020",
            "description": "The change in the distribution of land temperature anomalies over the years 1951 to 2020 || GISSTempDist_print.jpg (1024x576) [53.1 KB] || GISSTempDist_STILL.jpg (7680x4320) [1.0 MB] || GISTempDist_searchweb.png (320x180) [13.6 KB] || GISTempDist_thm.png (71x40) [2.1 KB] || GISTempDist_1080p30.mp4 (1920x1080) [2.0 MB] || GISTempDist_1080p30.webm (1920x1080) [3.3 MB] || GISSTempDist_2160p59.94.mp4 (3840x2160) [4.9 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || GISTempDist_1080p30.mp4.hwshow || ",
            "hits": 94
        },
        {
            "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": 62
        },
        {
            "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": 131
        },
        {
            "id": 13735,
            "url": "https://svs.gsfc.nasa.gov/13735/",
            "result_type": "Produced Video",
            "release_date": "2020-10-16T00:00:00-04:00",
            "title": "Photon Phriday: One Phull Orbit",
            "description": "Follow an entire orbit of the ICESat-2 mission as it measures the elevation of oceans, sea ice, mountains and islands around the Earth. This video shows the same orbit (ground reference track 1352) on two different dates (December 26, 2018, and September 24, 2019) to capture the clearest, least cloudy data examples. Each frame shows a different aspect of the orbit. The upper left frame is the entire photon cloud standardized on a global scale. The upper right frame shows selected photon cloud granules that sync with the global scale within a degree in order to show more spatial detail. In many cases, the zoomed-in photon clouds in this frame have been slowed down in order to show details clearly. The bottom right frame shows video examples of the terrain that correspond with where the orbit is. The bottom left terrain is the continuous orbit on a blue marble with labels for countries and other geographic features that represent where the orbit went over or very nearby. || ",
            "hits": 24
        },
        {
            "id": 4823,
            "url": "https://svs.gsfc.nasa.gov/4823/",
            "result_type": "Visualization",
            "release_date": "2020-09-11T00:00:00-04:00",
            "title": "Draining the Oceans",
            "description": "Data visualization of the draining of the Earth's oceans. The visualization simulates an incremental drop of 10 meters of the water’s level on Earth’s surface. As time progresses and the oceans drain, it becomes evident that underwater mountain ranges are bigger in size and trenches are deeper in comparison to those on dry land. While water drains quickly closer to continents, it drains slowly in our planet’s deepest trenches. || OceanDrain_3840x2160_60fps_0837_print.jpg (1024x576) [259.5 KB] || OceanDrain_3840x2160_60fps_0837_print_searchweb.png (320x180) [97.8 KB] || OceanDrain_3840x2160_60fps_0837_print_thm.png (80x40) [7.8 KB] || OceanDrain_1920x1080_30fps.mp4 (1920x1080) [44.2 MB] || OceanDrain_1920x1080_30fps.webm (1920x1080) [4.3 MB] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain_3840x2160_60fps_0837.tif (3840x2160) [31.6 MB] || OceanDrain_3840x2160_30fps.mp4 (3840x2160) [154.1 MB] || OceanDrain_1920x1080_30fps.mp4.hwshow [192 bytes] || ",
            "hits": 694
        },
        {
            "id": 31139,
            "url": "https://svs.gsfc.nasa.gov/31139/",
            "result_type": "Hyperwall Visual",
            "release_date": "2020-05-08T00:00:00-04:00",
            "title": "Earth: A System of Systems (updated)",
            "description": "All six time-synchronous datasets, individually and then layered two at a time || layered_pairs_1080p.00001_print.jpg (1024x576) [59.0 KB] || layered_pairs_1080p.00001_searchweb.png (320x180) [42.0 KB] || layered_pairs_1080p.00001_thm.png (80x40) [3.8 KB] || layered_pairs_720p.mp4 (1280x720) [83.6 MB] || layered_pairs_1080p.webm (1920x1080) [28.6 MB] || layered_pairs_1080p.mp4 (1920x1080) [157.7 MB] || layered_pairs_2160p.mp4 (3840x2160) [432.6 MB] || A_System_of_Systems_Updated_-_30701.pptx [436.3 MB] || ",
            "hits": 84
        },
        {
            "id": 4797,
            "url": "https://svs.gsfc.nasa.gov/4797/",
            "result_type": "Visualization",
            "release_date": "2020-03-10T00:00:00-04:00",
            "title": "South Georgia Island Flyover",
            "description": "South Georiga Island using Landsat-8 imagery (March 28, 2018) draped over SRTM topography.  Landsat-8 bands 4,3,1, and 5 were used. || south_georgia_island03.2200_print.jpg (1024x576) [157.8 KB] || south_georgia_island03.2200_searchweb.png (320x180) [110.5 KB] || south_georgia_island03.2200_thm.png (80x40) [7.5 KB] || south_georgia_island03.mp4 (1920x1080) [59.8 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || south_georgia_island03.webm (1920x1080) [10.7 MB] || south_georgia_island03.mp4.hwshow [188 bytes] || ",
            "hits": 35
        },
        {
            "id": 13485,
            "url": "https://svs.gsfc.nasa.gov/13485/",
            "result_type": "Produced Video",
            "release_date": "2019-12-12T14:00:00-05:00",
            "title": "Mars Wind Currents Reveal a Surprising Feature",
            "description": "By measuring windspeed and direction in the Mars upper atmosphere, MAVEN has discovered that high-altitude wind currents are being disturbed by terrain features far below.Credit: NASA/Goddard/MAVEN/CU Boulder/University of MichiganUniversal Production Music: “Glacial Shifts” by James Joshua OttoWatch this video on the NASA Goddard YouTube channel.Complete transcript available. || FACEBOOK_720_13485_Mars_Upper_Winds_MASTER_facebook_720.mp4 (1280x720) [216.5 MB] || 13485_MarsUpperWinds_Preview_print.jpg (1024x576) [77.9 KB] || 13485_MarsUpperWinds_Preview.jpg (3840x2160) [399.6 KB] || 13485_MarsUpperWinds_Preview_searchweb.png (320x180) [57.6 KB] || 13485_MarsUpperWinds_Preview_thm.png (80x40) [4.8 KB] || TWITTER_720_13485_Mars_Upper_Winds_MASTER_twitter_720.mp4 (1280x720) [37.3 MB] || 13485_Mars_Upper_Winds_MASTER.webm (960x540) [78.1 MB] || 13485_Mars_Upper_Winds_Captions.en_US.srt [4.2 KB] || 13485_Mars_Upper_Winds_Captions.en_US.vtt [4.2 KB] || CH28_13485_Mars_Upper_Winds_MASTER_ch28.mov (1280x720) [1.8 GB] || 13485_Mars_Upper_Winds_YouTube.mp4 (3840x2160) [2.0 GB] || 13485_Mars_Upper_Winds_MASTER.mov (3840x2160) [19.2 GB] || ",
            "hits": 69
        },
        {
            "id": 20302,
            "url": "https://svs.gsfc.nasa.gov/20302/",
            "result_type": "Animation",
            "release_date": "2019-12-12T14:00:00-05:00",
            "title": "Mars Wind Currents Reveal a Surprising Feature - Animations",
            "description": "By measuring windspeed and direction in the Mars upper atmosphere, MAVEN has discovered that high-altitude wind currents are being disturbed by terrain features far below. || 20302_MarsUpperWinds_Preview_print.jpg (1024x576) [131.1 KB] || 20302_MarsUpperWinds_Preview.jpg (3840x2160) [676.6 KB] || 20302_MarsUpperWinds_Preview_searchweb.png (320x180) [86.0 KB] || 20302_MarsUpperWinds_Preview_thm.png (80x40) [6.4 KB] || TWITTER_720_MAVEN_Mars_Terrain_Winds_twitter_720.mp4 (1280x720) [16.4 MB] || MAVEN_Mars_Terrain_Winds.webm (960x540) [39.0 MB] || YOUTUBE_1080_MAVEN_Mars_Terrain_Winds_youtube_1080.mp4 (1920x1080) [135.6 MB] || FACEBOOK_720_MAVEN_Mars_Terrain_Winds_facebook_720.mp4 (1280x720) [104.1 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || YOUTUBE_4K_MAVEN_Mars_Terrain_Winds_youtube_4k.mp4 (3840x2160) [595.8 MB] || MAVEN_Mars_Terrain_Winds.mov (3840x2160) [10.6 GB] || YOUTUBE_4K_MAVEN_Mars_Terrain_Winds_youtube_4k.mp4.hwshow [143 bytes] || ",
            "hits": 188
        },
        {
            "id": 4773,
            "url": "https://svs.gsfc.nasa.gov/4773/",
            "result_type": "Visualization",
            "release_date": "2019-12-12T03:30:00-05:00",
            "title": "BedMachine: A high-precision map of Antarctic ice sheet bed topography",
            "description": "BedMachine is a new Antarctic bed topography product based on ice thickness data from 19 different research institutes dating back to 1967, encompassing nearly a million line-miles of radar soundings. BedMachine relies on the fundamental physics-based method of mass conservation to estimate what lies between the radar sounding lines, utilizing highly detailed information on ice flow motion from satellite data that dictates how ice moves. The dataset is available from the National Snow & Ice Data Center here. || ",
            "hits": 454
        },
        {
            "id": 13299,
            "url": "https://svs.gsfc.nasa.gov/13299/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T17:00:00-05:00",
            "title": "Operation IceBridge - Alaskan Glaciers",
            "description": "In Alaska, 5 percent of the land is covered by glaciers that are losing a lot of ice and contributing to sea level rise. To monitor these changes, a small team of NASA-funded researchers has been flying scientific instruments on a bright red, single-engine plane since spring 2009.While scientists at the Goddard Space Flight Center managed the two larger yearly field campaigns in the Arctic and Antarctica, monitoring Alaskan glaciers fell on a smaller team based at the University of Fairbanks, Alaska. || ",
            "hits": 15
        },
        {
            "id": 13472,
            "url": "https://svs.gsfc.nasa.gov/13472/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T14:00:00-05:00",
            "title": "Operation IceBridge - Northern Greenland",
            "description": "4K B-roll of snowy northern Greenland landscape filmed during the 2016 Arctic campaign. NOTE: The audio on this clip varies widely and includes loud aircraft noise. We advise turning down/off sound when previewing this item. || 13472_Panasonic_2016_Airborne_LandIce_4K.mov.00_02_19_19.Still001_print.jpg (1024x576) [262.7 KB] || 13472_Panasonic_2016_Airborne_LandIce_4K.mov.00_02_19_19.Still001.jpg (3840x2160) [2.4 MB] || 13472_Panasonic_2016_Airborne_LandIce_4K.mov.00_02_19_19.Still001_searchweb.png (320x180) [100.7 KB] || 13472_Panasonic_2016_Airborne_LandIce_4K.mov.00_02_19_19.Still001_web.png (320x180) [100.7 KB] || 13472_Panasonic_2016_Airborne_LandIce_4K.mov.00_02_19_19.Still001_thm.png (80x40) [6.4 KB] || 13472_Panasonic_2016_Airborne_LandIce_4K.webm (960x540) [103.8 MB] || YOUTUBE_1080_13472_Panasonic_2016_Airborne_LandIce_4K_youtube_1080.mp4 (1920x1080) [367.2 MB] || 13472_Panasonic_2016_Airborne_LandIce_4K.mov (3840x2160) [20.8 GB] || ",
            "hits": 11
        },
        {
            "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": 26
        },
        {
            "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": 124
        },
        {
            "id": 13292,
            "url": "https://svs.gsfc.nasa.gov/13292/",
            "result_type": "Produced Video",
            "release_date": "2019-08-23T15:00:00-04:00",
            "title": "TIRS-2 Ready For Integration",
            "description": "The Thermal Infrared Sensor 2 (TIRS-2) has passed its tests at NASA's Goddard Space Flight Center and traveled across the country to be integrated onto Landsat 9.Music: Last Outpost by Lennert Busch [PRS], published by Sound Pocket Music [PRS]Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || TIRS-2_shipping_20190813-28_print.jpg (1024x576) [83.4 KB] || TIRS-2_shipping_20190813-28.png (3840x2160) [10.7 MB] || TIRS-2_shipping_20190813-28_searchweb.png (320x180) [82.4 KB] || TIRS-2_shipping_20190813-28_thm.png (80x40) [5.8 KB] || 13292_TIRS-2_Ships_MASTER_V3.mov (1920x1080) [2.6 GB] || 13292_TIRS-2_Ships.mp4 (1920x1080) [160.5 MB] || 13292_TIRS-2_Ships_MASTER_V3_facebook_720.mp4 (1280x720) [91.2 MB] || 13292_TIRS-2_Ships_MASTER_V3.webm (960x540) [33.0 MB] || 13292_TIRS-2_Ships-captions.en_US.srt [1.2 KB] || 13292_TIRS-2_Ships-captions.en_US.vtt [1.2 KB] || ",
            "hits": 50
        },
        {
            "id": 31042,
            "url": "https://svs.gsfc.nasa.gov/31042/",
            "result_type": "Hyperwall Visual",
            "release_date": "2019-07-17T00:00:00-04:00",
            "title": "2016 Lamplugh Glacier Landslide in Glacier Bay National Park",
            "description": "Landslide area during melt seasons before, just after the landslide, and debris moving down glacier || landslide_00780_print.jpg (1024x576) [165.3 KB] || landslide_00780_searchweb.png (320x180) [128.4 KB] || landslide_00780_thm.png (80x40) [9.1 KB] || landslide_1080p30.mp4 (1920x1080) [20.1 MB] || landslide_1080p30.webm (1920x1080) [3.8 MB] || 5760x3240_16x9_30p (5760x3240) [0 Item(s)] || landslide_2160p30_2.mp4 (3840x2160) [63.5 MB] || ",
            "hits": 99
        },
        {
            "id": 31046,
            "url": "https://svs.gsfc.nasa.gov/31046/",
            "result_type": "Hyperwall Visual",
            "release_date": "2019-07-15T00:00:00-04:00",
            "title": "Soil Moisture, Salinity and Precipitation",
            "description": "Global maps shown the relationship between precipitation, soil moisture, and salinity. || salinity_soilm_precip_squashed_2019-03-24_print.jpg (1024x576) [168.4 KB] || salinity_soilm_precip_squashed_2019-03-24_searchweb.png (320x180) [81.6 KB] || salinity_soilm_precip_squashed_2019-03-24_thm.png (80x40) [6.5 KB] || salinity_soilm_precip_squashed_1080p.webm (1920x1080) [9.3 MB] || salinity_soilm_precip_squashed_1080p.mp4 (1920x1080) [127.5 MB] || salinity_soilm_precip_squashed_2019-03-24.tif (3840x2160) [7.7 MB] || salinity_soilm_precip (3840x2160) [0 Item(s)] || salinity_soilm_precip_squashed_2160p.mp4 (3840x2160) [388.4 MB] || salinity_soilm_precip_squashed_2160p.hwshow [106 bytes] || salinity_soilm_precip_squashed_1080p.hwshow [106 bytes] || ",
            "hits": 42
        },
        {
            "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": 67
        },
        {
            "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": 13172,
            "url": "https://svs.gsfc.nasa.gov/13172/",
            "result_type": "Produced Video",
            "release_date": "2019-05-08T17:00:00-04:00",
            "title": "VISIONS-2 Imagery",
            "description": "A collection of photos captured during NASA's VISIONS-2 sounding rocket campaign in Ny-Ålesund, Svalbard, a remote archipelago off the northern coast of Norway. The mission successfully launched on Dec. 7, 2018. || ",
            "hits": 56
        },
        {
            "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": 217
        },
        {
            "id": 4710,
            "url": "https://svs.gsfc.nasa.gov/4710/",
            "result_type": "Visualization",
            "release_date": "2019-03-13T00:00:00-04:00",
            "title": "Global Landslide Catalog (update 2019)",
            "description": "Using the Global Landslide Catalog (GLC), a world map has been produced to show the location of 11,033 reported landslides triggered by rainfall for the period 2007-2019 (last update 02.29.19). In this version, all landslide locations have the same visual treatment without pointing out which ones had fatalities. This version has been created for kids and educational purposes. || TotalLandslides_Catalog2019_print.jpg (1024x576) [86.8 KB] || TotalLandslides_Catalog2019_searchweb.png (320x180) [38.3 KB] || TotalLandslides_Catalog2019_thm.png (80x40) [5.7 KB] || TotalLandslides_Catalog2019.tif (3840x2160) [1.8 MB] || ",
            "hits": 409
        },
        {
            "id": 13152,
            "url": "https://svs.gsfc.nasa.gov/13152/",
            "result_type": "Produced Video",
            "release_date": "2019-02-28T12:30:00-05:00",
            "title": "2015-2016 El Niño Triggered Disease Outbreaks Across the Globe",
            "description": "Music: Under Offer by Peter Keith Yelland-BrownComplete transcript available. || ENSO_Dengue_Thumbnail.png (1920x1080) [3.2 MB] || ENSO_Dengue_Thumbnail_print.jpg (1024x576) [143.5 KB] || ENSO_Dengue_Thumbnail_searchweb.png (320x180) [88.1 KB] || ENSO_Dengue_Thumbnail_thm.png (80x40) [6.2 KB] || ENSO_Dengue_FINAL_lowres.mp4 (1280x720) [39.4 MB] || ENSO_Dengue_FINAL_lowres.webm (1280x720) [16.2 MB] || ENSO_Dengue_Captions.en_US.srt [2.6 KB] || ENSO_Dengue_Captions.en_US.vtt [2.6 KB] || ENSO_Dengue_FINAL.mov (1920x1080) [3.9 GB] || ",
            "hits": 68
        },
        {
            "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": 14
        },
        {
            "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": 329
        },
        {
            "id": 4631,
            "url": "https://svs.gsfc.nasa.gov/4631/",
            "result_type": "Visualization",
            "release_date": "2018-04-26T10:00:00-04:00",
            "title": "Global Landslide Hazard Assessment Model (LHASA) with Global Landslide Catalog (GLC) data",
            "description": "Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides. A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30min. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January. Overlaid with these nowcasts values are a Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information. More information on this system is available at: https://landslides.nasa.govThe Global Landslide Catalog is currently available here: https://catalog.data.gov/dataset/global-landslide-catalog-export || ",
            "hits": 249
        },
        {
            "id": 4640,
            "url": "https://svs.gsfc.nasa.gov/4640/",
            "result_type": "Visualization",
            "release_date": "2018-04-25T12:00:00-04:00",
            "title": "Close-up Views of the Global Landslide Hazard Assessment Model (LHASA) overlaid with Global Landslide Catalog (GLC) data",
            "description": "A close-up view of the potential landslide activity during July in Southeast Asia as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness. In the Download tab to the right, a set of 12 still images provides high-resolution (9,600x5,400) global maps to allow for close-up views in any location around the world. The images showcase the landslide climatology by month overload with the distribution of reported landslide fatalities for the period 2007-2017. || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_print.jpg (1024x576) [188.1 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_searchweb.png (320x180) [84.5 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_thm.png (80x40) [7.7 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp.tif (1920x1080) [7.9 MB] || MonthlyClimatologyFatalities (9600x5400) [0 Item(s)] || ",
            "hits": 39
        },
        {
            "id": 4632,
            "url": "https://svs.gsfc.nasa.gov/4632/",
            "result_type": "Visualization",
            "release_date": "2018-04-23T15:00:00-04:00",
            "title": "Global Landslide Catalog (Update 2017)",
            "description": "This entry contains updated maps generated for Glocal Landslide Catalog Aids View From Space, released on April 16, 2015Landslides are among the most common and dramatic natural hazards, reshaping landscapes -- and anything in their path. Tracking when and where landslides occur worldwide has historically been difficult, because of the lack of a centralized database across all nations. But NASA researchers have updated the first publicly available Global Landslide Catalog (GLC), based on media reports and online databases that bring together many sources of information on landslides that have occurred. The GLC has been compiled since 2007 at NASA's Goddard Space Flight Center and was originally released in 2010. Around 10,804 landslides are noted in the catalog for the period 2007-2017. This wealth of data gives scientists a starting point to analyze where, how and why landslides are likely to occur. The catalog is currently available here:  https://catalog.data.gov/dataset/global-landslide-catalog-exportRecently, a new model was developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30 minutes. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM)  mission to provide moderate to high “nowcasts.” For more information about this new model, please visit: New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains\" || ",
            "hits": 97
        },
        {
            "id": 12897,
            "url": "https://svs.gsfc.nasa.gov/12897/",
            "result_type": "Produced Video",
            "release_date": "2018-03-22T10:30:00-04:00",
            "title": "New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains",
            "description": "A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30 minutes. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January. Overlaid with these nowcasts values are a Global Landslide Catalog(GLC) that was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA's Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information. More information on this system is available at: https://landslides.nasa.gov. Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides.For more information: https://www.nasa.gov/feature/goddard/2018/new-from-nasa-tracking-landslide-hazards-new-nasa-model-finds-landslide-threats-in-near-real || ",
            "hits": 85
        },
        {
            "id": 4633,
            "url": "https://svs.gsfc.nasa.gov/4633/",
            "result_type": "Visualization",
            "release_date": "2018-03-22T10:00:00-04:00",
            "title": "Landslide Activity in the Americas for the Cover of <i>Earth's Future</i>",
            "description": "A view of the potential landslide activity during January in the Americas, as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness (LHASA). This still image is provided in 300dpi (print resolution) and in separate layers (water, data, land, outlines). || ClimatologyJanuary_Cover_Light_Layers_Preview_print.jpg (1024x1024) [125.1 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview.png (2550x2550) [2.5 MB] || ClimatologyJanuary_Cover_Light_Layers_Preview_searchweb.png (320x180) [34.2 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview_thm.png (80x40) [3.4 KB] || ClimatologyJanuary_Cover_Light_Layers_300dpi.tif (2550x2550) [16.4 MB] || ",
            "hits": 43
        },
        {
            "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": 117
        },
        {
            "id": 4587,
            "url": "https://svs.gsfc.nasa.gov/4587/",
            "result_type": "Visualization",
            "release_date": "2017-10-05T00:00:00-04:00",
            "title": "The Brown Ocean Effect",
            "description": "Before Tropical Storm Bill made landfall over Texas, eastern Texas experienced several days of rain that began flooding areas to the south east and northern parts of the state. As Tropical Storm Bill moved northward through Texas it is hypothesized that it fed off the highly saturated ground (as if it were still over the ocean) and can be seen slightly intensifying (via winds) as it moved into Oklahoma and progressed to the northeast. || brown_ocean_v3.1016_print.jpg (1024x576) [267.9 KB] || brown_ocean_v3.1016_searchweb.png (320x180) [127.0 KB] || brown_ocean_v3.1016_thm.png (80x40) [7.8 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || brown_ocean_v3.webm (1920x1080) [17.0 MB] || brown_ocean_v3.mp4 (1920x1080) [245.0 MB] || brown_ocean_v3.mp4.hwshow [180 bytes] || ",
            "hits": 65
        },
        {
            "id": 30162,
            "url": "https://svs.gsfc.nasa.gov/30162/",
            "result_type": "Hyperwall Visual",
            "release_date": "2017-09-01T12:00:00-04:00",
            "title": "Devastation and Recovery of Mt. St. Helens",
            "description": "In the nearly four decades since the eruption (1980), Mt. St. Helens has given scientists an unprecedented opportunity to witness the steps through which life reclaims a devastated landscape. The scale of the eruption and the beginning of reclamation in the Mt. St. Helens blast zone are documented in this series of images between 1979 and 2017. The older images are false-color (vegetation is red). Not surprisingly, the first noticeable recovery (late 1980s) takes place in the northwestern quadrant of the blast zone, farthest from the volcano. It is another decade (late 1990s) before the terrain east of Spirit Lake is considerably greener. By the end of the series, the only area (beyond the slopes of the mountain itself) that remains conspicuously bare at the scale of these images is the Pumice Plain. || ",
            "hits": 63
        },
        {
            "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": 38
        },
        {
            "id": 11761,
            "url": "https://svs.gsfc.nasa.gov/11761/",
            "result_type": "Produced Video",
            "release_date": "2017-07-21T13:00:00-04:00",
            "title": "Land Changes in Atchafalaya Bay",
            "description": "Since 1972, Landsat satellites have orbited our home planet, collecting data about the land surface we rely on. This video shows footage of the launch of the first Landsat satellite, on July 23, 1972, and a timelapse of the changing coastal wetlands in Atchafalaya Bay, Louisiana.Music credit: Step By Step, by Gresby Race Nash [PRS] || 11761_Atchafalaya_Delta_Landsat45th_large.00385_print.jpg (1024x576) [74.5 KB] || 11761_Atchafalaya_Delta_Landsat45th_large.00385_searchweb.png (320x180) [63.5 KB] || 11761_Atchafalaya_Delta_Landsat45th_large.00385_thm.png (80x40) [5.0 KB] || 11761_Atchafalaya_Delta_Landsat45th_prores.mov (1280x720) [1.5 GB] || 11761_Atchafalaya_Delta_Landsat45th_large.mp4 (1920x1080) [111.8 MB] || 11761_Atchafalaya_Delta_Landsat45th_youtube_1080.mp4 (1920x1080) [162.4 MB] || 11761_Atchafalaya_Delta_Landsat45th_facebook_720.mp4 (1280x720) [118.5 MB] || 11761_Atchafalaya_Delta_Landsat45th.webm (960x540) [45.1 MB] || GSFC_20170721_Landsat_m11761_Atchafalaya.en_US.vtt [42 bytes] || ",
            "hits": 63
        },
        {
            "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": 58
        },
        {
            "id": 4543,
            "url": "https://svs.gsfc.nasa.gov/4543/",
            "result_type": "Visualization",
            "release_date": "2017-01-23T00:00:00-05:00",
            "title": "Monitoring Hurricane Matthew",
            "description": "This example visualization shows how all of the below data visualizations could be arranged on NASA's 3x3 hyperwall display. || MatthewHyperwall9.01110_print.jpg (1024x576) [227.7 KB] || MatthewHyperwall9.01110_searchweb.png (320x180) [116.5 KB] || MatthewHyperwall9.01110_thm.png (80x40) [8.0 KB] || MatthewHyperwall9.mp4 (1920x1080) [61.9 MB] || MatthewHyperwall9.webm (1920x1080) [4.8 MB] || MatthewHyperwall9_4543.key [64.9 MB] || MatthewHyperwall9_4543.pptx [64.4 MB] || MatthewHyperwall9.mp4.hwshow [206 bytes] || ",
            "hits": 36
        },
        {
            "id": 30730,
            "url": "https://svs.gsfc.nasa.gov/30730/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-12-16T12:00:00-05:00",
            "title": "High-Resolution Soil Moisture Maps",
            "description": "These maps combine data from the twin satellites of the Gravity Recovery and Climate Experiment (GRACE) with other satellite and ground-based measurements to model the relative amount of water stored at two different levels: at plant root level and underground. The wetness, or water content, of each layer is compared to the average between 1948 and 2009. The darkest red regions represent dry conditions that should occur only 2 percent of the time (about once every 50 years). All of the maps are experimental products funded by NASA’s Applied Sciences Program and developed by scientists at NASA’s Goddard Space Flight Center and the National Drought Mitigation Center. The maps do not attempt to represent human consumption of water; but rather, they show changes in water storage related to weather, climate, and seasonal patterns. || ",
            "hits": 78
        },
        {
            "id": 30698,
            "url": "https://svs.gsfc.nasa.gov/30698/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-10-27T00:00:00-04:00",
            "title": "Soil Moisture and Rainfall",
            "description": "Soil Moisture and Ocean Salinity are compared to Rainfall || smap_and_imerg_print.jpg (1024x574) [184.6 KB] || smap_and_imerg_searchweb.png (180x320) [87.4 KB] || smap_and_imerg_thm.png (80x40) [6.9 KB] || smap_and_imerg_720p.webm (1280x720) [2.1 MB] || smap_and_imerg_1080p.mp4 (1920x1080) [20.4 MB] || smap_and_imerg_720p.mp4 (1280x720) [10.0 MB] || smap_and_imerg_2304p.mp4 (4096x2304) [62.8 MB] || smap_and_imerg.tif (4104x2304) [10.6 MB] || smap_and_imerg_30698.key [25.6 MB] || smap_and_imerg_30698.pptx [23.1 MB] || ",
            "hits": 25
        },
        {
            "id": 20226,
            "url": "https://svs.gsfc.nasa.gov/20226/",
            "result_type": "Animation",
            "release_date": "2015-07-27T00:00:00-04:00",
            "title": "Landslide Animation",
            "description": "Landslide animation - rotational landslide. || landslide_seq_00660_print.jpg (1024x576) [113.4 KB] || landslide_seq_00660_searchweb.png (320x180) [59.1 KB] || landslide_seq_00660_thm.png (80x40) [5.0 KB] || Landslide_final_59fps_prores.webm (1920x1080) [1.8 MB] || 1920x1080_16x9_60p (1920x1080) [128.0 KB] || Landslide_final_59fps_h264.mov (1920x1080) [605.4 MB] || Landslide_final_59fps_prores.mov (1920x1080) [907.5 MB] || landslide.mp4 (1920x1080) [14.9 MB] || ",
            "hits": 114
        },
        {
            "id": 11860,
            "url": "https://svs.gsfc.nasa.gov/11860/",
            "result_type": "Produced Video",
            "release_date": "2015-04-21T11:00:00-04:00",
            "title": "NASA On Air: NASA Landslide Catalog Now Available (4/21/2015)",
            "description": "LEAD: A new website now totals up landslide occurrences and resulting deaths across the U.S. and the world.1. NASA and other researchers have tracked global news and web reports of rain-caused landslides since 2007.2. Between 2007 and 2013, more than 20,000 people have died in 6,000 landslides - an average of 2,500 per year.3. An interactive website will help researchers match future news reports of landslides with the data of heavy rain from a new satellite-based network covering Earth.TAG: Early warning for potential landslides is the long-term goal. || WC_Landslides-1920-MASTER_iPad_1920x0180_print.jpg (1024x576) [110.9 KB] || WC_Landslides-1920-MASTER_iPad_1920x0180_searchweb.png (320x180) [73.9 KB] || WC_Landslides-1920-MASTER_iPad_1920x0180_web.png (320x180) [73.9 KB] || WC_Landslides-1920-MASTER_iPad_1920x0180_thm.png (80x40) [6.1 KB] || WC_Landslides-1920-MASTER_WEA_CEN.wmv (1280x720) [14.6 MB] || WC_Landslides_converted.avi (1280x720) [16.2 MB] || WC_Landslides-1920-MASTER_baron.mp4 (1920x1080) [15.4 MB] || WC_Landslides-1920-MASTER_iPad_960x540.m4v (960x540) [46.4 MB] || WC_Landslides-1920-MASTER_iPad_1280x720.m4v (1280x720) [84.5 MB] || WC_Landslides-1920-MASTER_iPad_1920x0180.webm (1920x1080) [2.8 MB] || WC_Landslides-1920-MASTER_iPad_1920x0180.m4v (1920x1080) [182.7 MB] || WC_Landslides-1920-MASTER_NBC_Today.mov (1920x1080) [198.6 MB] || WC_Landslides-1920-MASTER_prores.mov (1920x1080) [421.7 MB] || WC_Landslides-1920-MASTER_1920x1080.mov (1920x1080) [742.6 MB] || WC_Landslides-1920-MASTER_1280x720.mov (1280x720) [915.8 MB] || ",
            "hits": 233
        },
        {
            "id": 11854,
            "url": "https://svs.gsfc.nasa.gov/11854/",
            "result_type": "Produced Video",
            "release_date": "2015-04-16T13:00:00-04:00",
            "title": "Global Landslide Catalog Aids View From Space",
            "description": "Landslides are among the most common and dramatic natural hazards, reshaping landscapes -- and anything in their path. Tracking when and where landslides occur worldwide has historically been difficult, because of the lack of a centralized database across all nations. But NASA researchers have updated the first publicly available Global Landslide Catalog, based on media reports and online databases that bring together many sources of information on landslides that have occurred since 2007. The catalog, originally released in 2010, is still the only one of its kind.Around 6000 landslides are noted in the catalog. This wealth of data gives scientists a starting point to analyze where, how and why landslides are likely to occur. In particular, NASA researchers have begun to compare landslide occurrence with global rainfall data from the Tropical Rainfall Measuring Mission.The catalog is currently available at: http://ojo-streamer.herokuapp.com/.Research: Spatial and temporal analysis of a global landslide catalog.Journal: Geomorphology, March 21, 2015.Link to paper: http://www.sciencedirect.com/science/article/pii/S0169555X15001579.Here is the YouTube video. || ",
            "hits": 50
        },
        {
            "id": 11855,
            "url": "https://svs.gsfc.nasa.gov/11855/",
            "result_type": "Produced Video",
            "release_date": "2015-04-16T13:00:00-04:00",
            "title": "Instagram: Global Landslide Catalog Aids View From Space",
            "description": "Landslides are among the most common and dramatic natural hazards, reshaping landscapes -- and anything in their path. Tracking when and where landslides occur worldwide has historically been difficult, because of the lack of a centralized database across all nations. But NASA researchers have updated the first publicly available Global Landslide Catalog, based on media reports and online databases that bring together many sources of information on landslides that have occurred since 2007. The catalog, originally released in 2010, is still the only one of its kind.Around 6000 landslides are noted in the catalog. This wealth of data gives scientists a starting point to analyze where, how and why landslides are likely to occur. In particular, NASA researchers have begun to compare landslide occurrence with global rainfall data from the Tropical Rainfall Measuring Mission.The catalog is currently available at: https://landslides.nasa.gov/Research: Spatial and temporal analysis of a global landslide catalog.Journal: Geomorphology, March 21, 2015.Link to paper: http://www.sciencedirect.com/science/article/pii/S0169555X15001579. || ",
            "hits": 37
        },
        {
            "id": 4294,
            "url": "https://svs.gsfc.nasa.gov/4294/",
            "result_type": "Visualization",
            "release_date": "2015-03-31T00:00:00-04:00",
            "title": "IMERG Precipitation Rates Across India's Ghats Mountains",
            "description": "Animation of precipitation rates across India and surrounding countries. Notice the heavy rains throughout the Ghats Mountain range which resulted in devastating landslides along India's west coast. || ghats_w_dates.0140_print.jpg (1024x576) [169.8 KB] || ghats_w_dates.0140_print_thm.png (80x40) [7.5 KB] || ghats_w_dates.0140_searchweb.png (320x180) [99.4 KB] || ghats_dated_1080p30.mp4 (1920x1080) [20.9 MB] || Ghats_with_dates (1920x1080) [0 Item(s)] || ghats2.mp4 (1920x1080) [21.0 MB] || Ghats_without_dates (1920x1080) [0 Item(s)] || ghats_dated_1080p30.webm (1920x1080) [2.8 MB] || date_overlay (350x80) [0 Item(s)] || ",
            "hits": 56
        },
        {
            "id": 4299,
            "url": "https://svs.gsfc.nasa.gov/4299/",
            "result_type": "Visualization",
            "release_date": "2015-03-31T00:00:00-04:00",
            "title": "IMERG Accumulated Precipitation Across India's Ghats Mountains",
            "description": "Animation showing accumulated precipitation over India. Notice the extremely high amounts of accumulated rain over the Ghats Mountains. These heavy rains led to major landslides along this mountain range. || ghats_accum_dated.0383_print.jpg (1024x576) [225.3 KB] || ghats_accum_dated.0383_print_thm.png (80x40) [8.5 KB] || ghats_accum_dated.0383_searchweb.png (320x180) [123.3 KB] || ghats_accum_dated_1080p30.mp4 (1920x1080) [11.8 MB] || Ghats_Accum_with_dates (1920x1080) [32.0 KB] || ghats_accum.mp4 (1920x1080) [11.7 MB] || Ghats_Accum_without_dates (1920x1080) [32.0 KB] || ghats_accum_dated_1080p30.webm (1920x1080) [1.5 MB] || date_overlay (350x80) [32.0 KB] || ",
            "hits": 21
        },
        {
            "id": 4258,
            "url": "https://svs.gsfc.nasa.gov/4258/",
            "result_type": "Visualization",
            "release_date": "2015-02-06T00:00:00-05:00",
            "title": "Mercury Mascons for the Cover of <i>JGR Planets</i>",
            "description": "A gravity map of Mercury shows mass concentrations (red) centered on the Caloris basin (center) and the Sobkou region (right limb). || mercury_jgr_print.jpg (1024x1280) [170.5 KB] || mercury_jgr_print_ipad_poster_frame.jpg (1024x576) [113.1 KB] || mercury_jgr_web.jpg (320x400) [19.5 KB] || mercury_jgr_searchweb.png (320x180) [71.9 KB] || mercury_jgr_thm.png (80x40) [5.2 KB] || mercury_jgr.tif (2400x3000) [5.7 MB] || ",
            "hits": 21
        },
        {
            "id": 11741,
            "url": "https://svs.gsfc.nasa.gov/11741/",
            "result_type": "Produced Video",
            "release_date": "2015-01-28T00:00:00-05:00",
            "title": "Soil Moisture Active Passive (SMAP) Live Shot Page 1.29.15",
            "description": "NASA scientists talk about the launch of the Soil Moisture Active Passive - or SMAP - satellite scheduled to launch on Jan 29. SMAP will take stock of the water hidden just beneath your feet, in the topsoil. Knowing how much water is in the soil, and whether it is frozen or thawed, has profound applications for society, from better forecasting of natural disasters like floods and droughts to helping prevent food shortages.How SMAP's radiometer works.How SMAP will help weather forecasts.More about SMAP.NASA TV's video file. || ",
            "hits": 46
        },
        {
            "id": 4205,
            "url": "https://svs.gsfc.nasa.gov/4205/",
            "result_type": "Visualization",
            "release_date": "2014-09-24T09:00:00-04:00",
            "title": "Earth Science Heads-up Display",
            "description": "On September 10, 2014, NASA's Earth Observing System (EOS) was celebrated in an evening event at the Smithsonian National Air and Space Museum in Washington DC.  The title of this event was \"Vital Signs: Taking the Pulse of Our Planet\", and the speakers at this event included several Earth Scientists from Goddard Space Flight Center.  This animation was used in the beginning of the event to illustrate the interconnectedness of the many Earth-based data sets that NASA has produced over the last decade or so.  The animation simulates a view of the Earth from the International Space Station, over which interconnected data sets are displayed as if on a head-up display. || ",
            "hits": 37
        },
        {
            "id": 30516,
            "url": "https://svs.gsfc.nasa.gov/30516/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-07-28T11:00:00-04:00",
            "title": "Exploring Sapporo, Japan",
            "description": "Located on the northern island of Hokkaido, Sapporo is Japan’s fourth-largest city by population. These two images taken by Landsat 8 show Sapporo and its surrounding area on October 10, 2013 and April 20, 2014. In both images the urban city appears gray. Close by, several rectangular agricultural fields (tan and brown) can be seen sprawling eastward. West of the city center, mountains fill the scene. Mount Yōtei, an active stratovolcano located in Shikotsu-Toya National Park, can be seen near the bottom center of the images.Sapporo has a continental climate that offers the full gamut of seasons and a wide variety of temperatures throughout the year. In the October image, the fall leaves in the highest elevations have already begun transitioning into shades of orange and brown. Sapporo receives an average of approximately 360 centimeters (250 inches) of snowfall each year, making it one of the snowiest cities in the world and an ideal site for winter activities. The city hosts its annual Sapporo Snow Festival in February each year, and hosted the Winter Olympics in 1972. The April image shows that even in early spring, there is still plenty of snow covering the nearby mountains. || ",
            "hits": 62
        },
        {
            "id": 4154,
            "url": "https://svs.gsfc.nasa.gov/4154/",
            "result_type": "Visualization",
            "release_date": "2014-03-19T17:45:00-04:00",
            "title": "Early Spring Frost-Free Regions: Comparing 1950s and 2010s",
            "description": "These visualizations show observational evidence that the growing season (climatalogical spring) is occurring earlier in the northen hemisphere. Scientists analyze recorded ground temperatures throughout each season and determine the earliest frost-free dates for each location every year. The earliest frost-free date in a growing season often does not correspond to the northern hemisphere's Spring equinox (about March 20), which is the astronomical first day of Spring.The visualziations below show frost-free regions for March 20 and April 20. The regions colored in light green are the frost-free regions averaged from 1950 through 1952. The darker green regions that fade on are the additional areas covered by the frost-free regions averaged from 2009 through 2011. More area is frost-free in the each of the 2009-2011 averages compared to the 1950-1952 averages. || ",
            "hits": 57
        },
        {
            "id": 3885,
            "url": "https://svs.gsfc.nasa.gov/3885/",
            "result_type": "Visualization",
            "release_date": "2013-11-29T00:00:00-05:00",
            "title": "Components of the Cryosphere",
            "description": "This high resolution image, designed for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, shows the extent of the regions affected by components of the cryosphere around the world. Over land, continuous permafrost is shown in a dark pink while discontinuous permafrost is shown in a lighter shade of pink. Over much of the northern hemisphere's land area, a semi-transparent white veil depicts the regions that are affected by snowfall at least one day during the perion 2000-2012. The bright green line along the southern border of this region shows the maximum snow extent while a black line across the North America, Europe and Asia shows the 50% snow extent line. Glaciers are shown as small golden dots in mountainous areas and in the far northern and southern latitudes. Over the water, ice shelves are shown around Antarctica along with sea ice surrounding the ice shelves. Sea ice is also shown at the North Pole, where the 30 year average sea ice extent is shown by a yellow outline. In addition, the ice sheets of Greenland and Antarctica are clearly visible. || ",
            "hits": 136
        },
        {
            "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": 377
        },
        {
            "id": 30469,
            "url": "https://svs.gsfc.nasa.gov/30469/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-11-01T12:00:00-04:00",
            "title": "Landsat Data Help Water-Resource Managers",
            "description": "In the Western United States between 80 and 90% of freshwater is used for agriculture. In Southern California irrigated farmland stretches southward across the desert from the Salton Sea—an artificial inland sea—to the Mexico border. In the natural-color image [left] acquired on May 15, 2013, by Landsat 8’s Operational Land Imager, blocks of square farmland appear in shades of green and tan, while urban areas such as El Centro, California and Mexicali, Mexico appear in shades of gray. Accurate estimates of total crop area provided by Landsat satellites can be used to help forecast commodities in the United States and the world food market. On that same day, thermal measurements from Landsat 8’s Thermal Infrared Sensor [right] show different temperatures between crop fields as well as urban and desert areas. Cooler areas (e.g., irrigated crops) appear as dark purple and red shades, while warmer areas (e.g., urban and desert areas) appear as shades of bright yellow and white. 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. Pixels representing cooler areas in thermal images from TIRS help water-resource managers determine where water is being used for irrigation, allowing them to make management decisions on water distribution to preserve this scarce resource. When an earlier design of Landsat 8 did not include a thermal infrared band, the Western States Water Council advocated for its inclusion.Used in 2014 Calendar. || ",
            "hits": 20
        },
        {
            "id": 30371,
            "url": "https://svs.gsfc.nasa.gov/30371/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Albedo",
            "description": "When sunlight reaches the Earth’s surface, some of it is absorbed and some is reflected. The relative amount, or ratio, of light that a surface reflects compared to the total incoming sunlight is called albedo. Surfaces with high albedos include sand, snow and ice, and some urban surfaces, such as concrete. Surfaces with low albedos include forests, the ocean, and some urban surfaces, such as asphalt. These maps show monthly albedo from February 2000 to the present, on a scale from 0 (no incoming sunlight being reflected) to 0.9 (nearly all incoming light being reflected). Darker blue colors indicate that the surface is not reflecting much light, while paler blues indicate higher proportions of incoming light are being reflected. Black areas indicate “no data,” either over ocean or because persistent cloudiness prevented enough views of the surface. The observations are based on atmospherically corrected, cloud-cleared reflectance observations from the MODIS sensors on NASA’s Aqua and Terra satellites. || ",
            "hits": 154
        },
        {
            "id": 30373,
            "url": "https://svs.gsfc.nasa.gov/30373/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Daytime Land-Surface Temperature",
            "description": "Scientists monitor land-surface temperature because the warmth rising off Earth's landscapes influences our world's weather and climate patterns. Likewise, land surface temperature is also influenced by changes in weather and climate patterns. These maps show monthly daytime land-surface temperatures from February 2000 to the present using thermal infrared measurements made by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The measurements shown here represent the temperature of the \"skin\" (or top 1 millimeter) of the land surface during the daytime—including bare land, snow or ice cover, and cropland or forest canopy—and should not be confused with surface air temperature measurements that are given in a typical weather reports. Yellow shows the warmest temperatures (up to 45 degrees Celsius) and light blue shows the coldest temperatures (down to -25 degrees Celsius). Black means no data. || ",
            "hits": 37
        },
        {
            "id": 30374,
            "url": "https://svs.gsfc.nasa.gov/30374/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Nighttime Land Surface Temperature",
            "description": "Scientists monitor land-surface temperature because the warmth rising off Earth's landscapes influences our world's weather and climate patterns. Likewise, land surface temperature is also influenced by changes in weather and climate patterns. These maps show monthly nighttime land-surface temperatures from February 2000 to the present using thermal infrared measurements made by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA's Terra satellite. The measurements shown here represent the temperature of the \"skin\" (or top 1 millimeter) of the land surface during the nighttime—including bare land, snow or ice cover, and cropland or forest canopy—and should not be confused with surface air temperature measurements that are given in a typical weather reports. Yellow shows the warmest temperatures (up to 45 degrees Celsius) and light blue shows the coldest temperatures (down to -25 degrees Celsius). Black means no data. || ",
            "hits": 98
        },
        {
            "id": 30389,
            "url": "https://svs.gsfc.nasa.gov/30389/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Daytime Land Temperature Anomaly",
            "description": "Land-surface temperature is how hot the surface of the Earth would feel to touch. From a satellite’s perspective, the “surface” is whatever it sees when it looks through the atmosphere to the ground. It could be snow and ice, the grass, a rooftop, or the treetops in a forest. An anomaly is when something is different from normal, or average. These maps show monthly daytime land-surface-temperature anomalies from March 2000 to the present, compared to the average monthly temperatures from 2001-2010 as derived using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Terra satellite. Places that are warmer than average are red, places that are near-normal are white, and places that are cooler than average are blue. Black means there is no data. Some land-surface-temperature anomalies are simply transient weather phenomena, not part of a specific pattern or trend. Others anomalies are more meaningful. Widespread cold anomalies may be an indication of a harsh winter with lots of snow on the ground. Isolated warm (daytime) anomalies that appear in forests or other natural ecosystems may indicate deforestation or insect damage. Many urban areas also show up as hot spots in these maps because developed areas are often warmer in the daytime than surrounding natural ecosystem or farmland. || ",
            "hits": 43
        },
        {
            "id": 30390,
            "url": "https://svs.gsfc.nasa.gov/30390/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Nighttime Land Temperature Anomaly",
            "description": "Land-surface temperature is how hot the surface of the Earth would feel to touch. From a satellite’s perspective, the “surface” is whatever it sees when it looks through the atmosphere to the ground. It could be snow and ice, the grass, a rooftop, or the treetops in a forest. An anomaly is when something is different from normal, or average. These maps show monthly nighttime land-surface-temperature anomalies from March 2000 to the present, compared to the average monthly temperatures from 2001-2010 as derived using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Terra satellite. Places that are warmer than average are red, places that are near-normal are white, and places that are cooler than average are blue. Black means there is no data. Some land-surface-temperature anomalies are simply transient weather phenomena, not part of a specific pattern or trend. Others anomalies are more meaningful. Widespread cold anomalies may be an indication of a harsh winter with lots of snow on the ground. Many urban areas show up as hot spots in these maps because developed areas are often warmer at night than surrounding natural ecosystem or farmland. || ",
            "hits": 37
        },
        {
            "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": 84
        },
        {
            "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": 27
        },
        {
            "id": 30163,
            "url": "https://svs.gsfc.nasa.gov/30163/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-17T12:00:00-04:00",
            "title": "The Seasons of Lake Tahoe",
            "description": "Perhaps the most familiar change in our changing world is the annual swing of the seasons. This series of images shows the changes around Lake Tahoe, on the border between California and Nevada, from August 27, 2009, to September 7, 2010. Snow, plants, light, and the lake itself all shift in accordance with the seasons. One of the most obvious signals in the Lake Tahoe region is snow, a commodity that draws skiing vacationers. The groomed trails are among the first places to turn white when the first snow arrives in October, and they are among the last places to lose snow in June. Apart from snow cover, the other clear indicator of seasonal change is the lighting. The seasonal shift in light is evident in the shadows that play across the images. During the height of summer, direct light illuminates the mountaintops and valley floors. Moving into the fall, shadows paint the western side of the mountains. By December, shadows dominate, with only eastern mountain faces reflecting bright light. || ",
            "hits": 28
        },
        {
            "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": 171
        },
        {
            "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": 80
        },
        {
            "id": 4097,
            "url": "https://svs.gsfc.nasa.gov/4097/",
            "result_type": "Visualization",
            "release_date": "2013-08-29T14:00:00-04:00",
            "title": "Greenland's Mega-Canyon beneath the Ice Sheet",
            "description": "Subglacial topography plays an important role in modulating the distribution and flow of meltwater beneath the ice known as basal water flow. This animation portrays topographic data of the bedrock under the Greenland ice sheet derived from ice-penetrating radar data. Clearly evident in the topography is a 750-km-long subglacial canyon in northern Greenland that is likely to have influenced basal water flow from the ice sheet interior to the margin. The authors suggest that the mega-canyon predates ice sheet inception and has influenced basal hydrology in Greenland over past glacial cycles. (See reference under \"Science Paper\" below)Starting with a view of the surface of Greenland, the animation zooms closer to the surface as the ice sheet is stripped away to reveal the false-color topography of the bedrock that lies beneath. Regions above sea level are shown in shades of green while areas below zero are colored by shades of brown. Yellow indicates the area near sea level. The topography is exaggerated from 12 to 40 times in order to accentuate the topographic relief. Visible in the topography from about the midpoint of Greenland to its Northwest coast is the 750-km-long subglacial canyon described by the authors. || ",
            "hits": 157
        },
        {
            "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": 45
        },
        {
            "id": 30053,
            "url": "https://svs.gsfc.nasa.gov/30053/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-06-25T13:00:00-04:00",
            "title": "Dead Sea Salt Farming",
            "description": "The Dead Sea is so named because its high salinity discourages the growth of fish, plants, and other wildlife. It is the lowest surface feature on Earth, sitting roughly 1,300 feet below sea level. On a hot, dry summer day, the water level can drop as much as one inch because of evaporation. These three false-color images were captured in 1972, 1989, and 2011 by Landsat satellites. Deep waters are blue or dark blue, while brighter blues indicate shallow waters or salt ponds. Green indicates sparsely vegetated lands. Denser vegetation appears bright red. The ancient Egyptians used salts from the Dead Sea for mummification, fertilizers, and potash (a potassium-based salt). In the modern age, sodium chloride and potassium salts culled from the sea are used for water conditioning, road de-icing, and the manufacturing of polyvinyl chloride (PVC) plastics. The expansions of massive salt evaporation projects are clearly visible over the span of 39 years. || ",
            "hits": 166
        },
        {
            "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": 55
        },
        {
            "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": 76
        },
        {
            "id": 11218,
            "url": "https://svs.gsfc.nasa.gov/11218/",
            "result_type": "Produced Video",
            "release_date": "2013-03-06T11:00:00-05:00",
            "title": "The Moon's Permanently Shadowed Regions",
            "description": "As you watch the Moon over the course of a month, you'll notice that different features are illuminated by the Sun at different times. However, there are some parts of the Moon that never see sunlight. These areas are called permanently shadowed regions, and they appear dark because unlike on the Earth, the axis of the Moon is nearly perpendicular to the direction of the sun's light. The result is that the bottoms of certain craters are never pointed toward the Sun, with some remaining dark for over two billion years. However, thanks to new data from NASA's Lunar Reconnaissance Orbiter, we can now see into these dark craters in incredible detail. || ",
            "hits": 626
        },
        {
            "id": 11202,
            "url": "https://svs.gsfc.nasa.gov/11202/",
            "result_type": "Produced Video",
            "release_date": "2013-01-31T16:00:00-05:00",
            "title": "Monitoring Changes in the Chesapeake Bay Watershed",
            "description": "Landsat is a critical and invaluable tool for characterizing the landscape and mapping it over time. Landsat data provides a baseline of observations for science about how human activities on the land affect water quality, affect wildlife habitat, affect air quality. The satellite imagery covers the entire 64,000 square miles of the Chesapeake Bay watershed (spanning six states and the District of Columbia). Without it we wouldn't be able to really understand how sources of nutrients and sediment have changed and where they are in the Chesapeake Bay. The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. The narration in this video is by Peter Claggett, a research geographer with the U.S. Geological Survey's Eastern Geographic Science Center. He has worked at the Chesapeake Bay Program Office since 2002, where he leads the Land Data Team that conducts research on land change characterization, analysis, and modeling in the Chesapeake Bay Watershed. The audio was adapted from a radio interview with EarthSky.org. || ",
            "hits": 37
        },
        {
            "id": 30010,
            "url": "https://svs.gsfc.nasa.gov/30010/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-01-23T00:00:00-05:00",
            "title": "ASTER Oahu Flythrough",
            "description": "This flyover of the Hawaiian island of Oahu was made by draping January 13, 2010 image data from the Advanced Spaceborne Thermal Emission Radiometer (ASTER) instrument on NASA's Terra spacecraft over new ASTER Version 2 digital elevation data.The visualization begins over Honolulu, then moves northwest over Ohau's central valley, looking towards the northeast and the Ko'olau mountains. Reaching the north shore, it turns to the southeast and views the windward and east sides of Oahu, home to Kane'ohe and Kailua Bays and numerous small offshore islands.Reaching the southeast top of Oahu, we fly over Hanauma Bay and continue past Diamond Head crater, Waikiki Beach and Honolulu. The video ends with a flyover of Pearl Harbor. || ",
            "hits": 33
        },
        {
            "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": 137
        },
        {
            "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": 36
        },
        {
            "id": 11102,
            "url": "https://svs.gsfc.nasa.gov/11102/",
            "result_type": "Produced Video",
            "release_date": "2012-10-01T00:00:00-04:00",
            "title": "Faces of GPM",
            "description": "Learn about the exciting and diverse team that studies precipitation at NASA. Watch interviews with scientists and engineers to get a face-to-face perspective on careers in science and technology. || ",
            "hits": 31
        },
        {
            "id": 11099,
            "url": "https://svs.gsfc.nasa.gov/11099/",
            "result_type": "Produced Video",
            "release_date": "2012-09-26T12:00:00-04:00",
            "title": "Earth Science Week: Career Spotlights",
            "description": "Join us during Earth Science Week 2012 to meet an incredible group of NASA Earth Explorers — from scientists and engineers, to multimedia producers, educators and writers.Find out about their careers, why and how they study the planet, and what their typical days are like. From video interviews to blog posts and more, there will be a variety of multimedia activities that will allow Explorers to tell their stories. Have questions of your own? Participate in live Twitter interviews and Google+ Hangouts held throughout the week, as well as during a radio interview and webinar in Spanish.On October 18, learn about the many contributions of women at NASA to Earth science as part of Female Geoscientists Day.The 2012 NASA ESW website will be your one-stop-source for Earth science careers and resources during ESW and beyond. There you will find a collection of articles, information about events, links to blog posts, transcripts of Twitter interviews, and educational products in English and Spanish. || ",
            "hits": 26
        },
        {
            "id": 11091,
            "url": "https://svs.gsfc.nasa.gov/11091/",
            "result_type": "Produced Video",
            "release_date": "2012-08-27T13:00:00-04:00",
            "title": "GPM Applications",
            "description": "Water is fundamental to life on Earth. Knowing where and how much rain and snow falls globally is vital to understanding how weather and climate impact both our environment and Earth's water and energy cycles, including effects on agriculture, fresh water availability, and responses to natural disasters. Since rainfall and snowfall vary greatly from place to place and over time, satellites can provide more uniform observations of rain and snow around the globe than ground instruments, especially in areas where surface measurements are difficult. GPM's next-generation global precipitation data will lead to scientific advances and societal benefits in the following areas: Improved knowledge of the Earth's water cycle and its link to climate change New insights into precipitation microphysics, storm structures and large-scale atmospheric processes Better understanding of climate sensitivity and feedback processes Extended capabilities in monitoring and predicting hurricanes and other extreme weather events Improved forecasting capabilities for natural hazards, including floods, droughts and landslides. Enhanced numerical prediction skills for weather and climate Better agricultural crop forecasting and monitoring of freshwater resources.For more information and resources please visit the Precipitation Measurement Missions web site. || ",
            "hits": 51
        },
        {
            "id": 10967,
            "url": "https://svs.gsfc.nasa.gov/10967/",
            "result_type": "Produced Video",
            "release_date": "2012-04-30T00:00:00-04:00",
            "title": "Dalhart, Texas 1972-2011",
            "description": "A water-rich polka dot pattern takes over the traditional rectangular patchwork of fields in this 40 year sequence of Landsat images showing the dry Texas panhandle near the town of Dalhart.  In this series, vegetation appears red and the bare soil of fallow fields or sparsely vegetated grasslands appear white to green.  The blue-gray X near the center of the images marks the town of Dalhart. || ",
            "hits": 28
        },
        {
            "id": 10929,
            "url": "https://svs.gsfc.nasa.gov/10929/",
            "result_type": "Produced Video",
            "release_date": "2012-03-14T10:00:00-04:00",
            "title": "A Narrated Tour of the Moon",
            "description": "Although the moon has remained largely unchanged during human history, our understanding of it and how it has evolved over time has evolved dramatically. Thanks to new measurements, we have new and unprecedented views of its surface, along with new insight into how it and other rocky planets in our solar system came to look the way they do. See some of the sights and learn more about the moon here! || ",
            "hits": 78
        },
        {
            "id": 10783,
            "url": "https://svs.gsfc.nasa.gov/10783/",
            "result_type": "Produced Video",
            "release_date": "2011-09-27T10:00:00-04:00",
            "title": "The GLOBE Program",
            "description": "An overview of the GLOBE ProgramFor complete transcript, click here. || globe_160.pn00202_print.jpg (1024x576) [97.1 KB] || globe40.png (80x40) [9.6 KB] || globe_160.png (320x180) [95.9 KB] || globe80.png (160x80) [27.1 KB] || G2011-086_GLOBE_2011_appletv.m4v (960x540) [55.1 MB] || G2011-086_GLOBE_2011_youtube_hq.mov (1280x720) [69.4 MB] || G2011-086_GLOBE_2011_prores.mov (1280x720) [1.8 GB] || G2011-086_GLOBE_2011.wmv (1280x720) [66.6 MB] || G2011-086_GLOBE_2011_appletv.webmhd.webm (960x540) [28.4 MB] || G2011-086_GLOBE_2011_ipod_lg.m4v (640x360) [22.0 MB] || G2011-086_GLOBE_2011.mov (640x360) [54.7 MB] || G2011-086_GLOBE_2011_ipod_sm.mp4 (320x240) [11.8 MB] || ",
            "hits": 25
        },
        {
            "id": 10757,
            "url": "https://svs.gsfc.nasa.gov/10757/",
            "result_type": "Produced Video",
            "release_date": "2011-04-14T00:00:00-04:00",
            "title": "Intro to LIDAR 3D",
            "description": "Want to know the 3D shape of terrain on another planet? Want to study the height and density of Earth's forests? An amazing tool called LIDAR can help. Learn more in this video!This video is presented in stereoscopic 3D for those who can view it. We've included left and right eye clips, a side-by-side version, and an anaglyph (red/blue) version. Download any of them below! || ",
            "hits": 89
        },
        {
            "id": 10741,
            "url": "https://svs.gsfc.nasa.gov/10741/",
            "result_type": "Produced Video",
            "release_date": "2011-03-30T00:00:00-04:00",
            "title": "Planetary Science: Astrogeology Profiles",
            "description": "Meet some of the people in NASA Goddard's Planetary Science division. || ",
            "hits": 41
        },
        {
            "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": 50
        }
    ]
}