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    "results": [
        {
            "id": 14991,
            "url": "https://svs.gsfc.nasa.gov/14991/",
            "result_type": "Produced Video",
            "release_date": "2026-03-20T12:00:00-04:00",
            "title": "Argonne Assembles, Tests Early ComPair-2 Hardware",
            "description": "Tim Cundiff, an engineering specialist at Argonne National Laboratory in Lemont, Illinois, monitors the automated wire bond of a ComPair-2 detector layer in April 2025. Image courtesy of Argonne National LaboratoryAlt text: A man in a lab uses a microscope.Image description: A man in a white clean suit, gloves, safety glasses, and a hairnet sits in front of a piece of machinery in a laboratory and peers into a microscope. Behind him is a long bench covered in scientific equipment and computers. In front of him, inside the machinery, are what look like two black treads that loop in and out of frame. || 34340D_0388_PSE_NASA_Goddard_Gamma-Ray_Tracker_Assembly_Process_WEB_16x9.jpg (2000x1125) [1.1 MB] || 34340D_0388_PSE_NASA_Goddard_Gamma-Ray_Tracker_Assembly_Process_WEB_16x9_searchweb.png (320x180) [124.6 KB] || 34340D_0388_PSE_NASA_Goddard_Gamma-Ray_Tracker_Assembly_Process_WEB_16x9_thm.png (80x40) [27.3 KB] || ",
            "hits": 85
        },
        {
            "id": 5577,
            "url": "https://svs.gsfc.nasa.gov/5577/",
            "result_type": "Animation",
            "release_date": "2025-11-20T09:00:00-05:00",
            "title": "SDO Sun This Week",
            "description": "This visualization shows SDO AIA-304 imagery from the past 7 days with a color table and image processing applied. Archive folders are provided in the Download menu.",
            "hits": 0
        },
        {
            "id": 5515,
            "url": "https://svs.gsfc.nasa.gov/5515/",
            "result_type": "Visualization",
            "release_date": "2025-03-07T00:00:00-05:00",
            "title": "2024 Atlantic Hurricane Season (Vertical Mode)",
            "description": "Example composite of how this data visualization might be used on a vertical display. || hurr2024_vert_comp.1000_print.jpg (1024x1820) [651.3 KB] || hurr2024_vert_comp.1000_searchweb.png (320x180) [111.5 KB] || hurr2024_vert_comp.mp4 (1080x1920) [239.3 MB] || composite [0 Item(s)] || hurr2024_vert_comp.1000_thm.png [7.6 KB] ||",
            "hits": 39
        },
        {
            "id": 5468,
            "url": "https://svs.gsfc.nasa.gov/5468/",
            "result_type": "Visualization",
            "release_date": "2025-02-11T18:59:59-05:00",
            "title": "2024 Atlantic Hurricane Season",
            "description": "SST, IMERG, CPC, and Hurricane tracks for the entire 2024 Hurricane Season. Also providing separate visualizations of just SST with tracks, IMERG with tracks, and CPC with tracks.",
            "hits": 177
        },
        {
            "id": 5377,
            "url": "https://svs.gsfc.nasa.gov/5377/",
            "result_type": "Visualization",
            "release_date": "2024-09-23T00:00:00-04:00",
            "title": "Accumulated Hurricane Tracks 1900 to 2023",
            "description": "Atlantic hurricanetracks that pass through the Caribbean Sea.  A ten year window of tracks are shown with tracks closer to the latest year in the window more opaque.  The window goes from 1890-1900 until 2013-2023.These equireceangular projections can be wrapped to a sphere. || hurricane_tracks_by_year_equirectangular_caribbean_8k.03100_print.jpg (1024x512) [131.5 KB] || hurricane_tracks_by_year_equirectangular_caribbean_8k.03100_searchweb.png (320x180) [76.5 KB] || hurricane_tracks_by_year_equirectangular_caribbean_8k.03100_web.png (320x160) [69.2 KB] || caribbean [0 Item(s)] || hurricane_tracks_by_year_equirectangular_caribbean_2048p30.mp4 (4096x2048) [66.6 MB] || hurricane_tracks_by_year_equirectangular_caribbean_4096p30_h265.mp4 (8192x4096) [80.4 MB] || hurricane_tracks_by_year_equirectangular_caribbean_4096p30_h265.mp4.hwshow [229 bytes] || ",
            "hits": 673
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        {
            "id": 5305,
            "url": "https://svs.gsfc.nasa.gov/5305/",
            "result_type": "Visualization",
            "release_date": "2024-07-02T08:00:00-04:00",
            "title": "2023 Atlantic Hurricane Season",
            "description": "The 2023 Atlantic Hurricane Season from June 1st through October 31st. The colors over the ocean are Sea Surface Temperatures where reds are high temperatures and blues are low. The colors underneath the clouds are precipitation measurements, where red is high and greens are low. Each hurricane name tracks with it's corresponding storm and leaves behind category designations (TD=Tropical Depression; TS=Tropical Storm; and 1 through 5 are hurricane strengths) as each storm increases and decreases in strength. || hurr2023_v34_ALL_2024-06-26_1103.00001_print.jpg (1024x576) [234.5 KB] || hurr2023_v34_ALL_2024-06-26_1103.00001_searchweb.png (320x180) [101.0 KB] || hurr2023_v34_ALL_2024-06-26_1103.00001_thm.png (80x40) [6.8 KB] || hurr2023_v34_ALL_2024-06-26_1103_1080p30.webm (1920x1080) [44.7 MB] || All_Data_in_HD [0 Item(s)] || hurr2023_v34_ALL_2024-06-26_1103_1080p30.mp4 (1920x1080) [739.1 MB] || ALL_Data_in_UHD [0 Item(s)] || hurr2023_v34_ALL_4k.mp4 (3840x2160) [2.3 GB] || ",
            "hits": 49
        },
        {
            "id": 5176,
            "url": "https://svs.gsfc.nasa.gov/5176/",
            "result_type": "Visualization",
            "release_date": "2023-10-16T00:00:00-04:00",
            "title": "Sea Surface Temperature (SST) Anomaly - Near Real Time",
            "description": "An equirectangular view of sea surface temperature (SST) anomaly data for the past two and half years, updated daily to include the latest available data. || sst_mur_anomaly_print.jpg (1024x512) [246.1 KB] || sst_mur_anomaly_searchweb.png (320x180) [101.7 KB] || sst_mur_anomaly_20231014_thm.png (80x40) [7.4 KB] || sst_mur_anomaly (4096x2048) [0 Item(s)] || sst_anomaly_30_sec_4096x2048_2x1_30p.mp4 (4096x2048) [338.0 MB] ||",
            "hits": 0
        },
        {
            "id": 14408,
            "url": "https://svs.gsfc.nasa.gov/14408/",
            "result_type": "Produced Video",
            "release_date": "2023-09-07T11:00:00-04:00",
            "title": "Swift Spots a Snacking Black Hole Using a New Trick",
            "description": "Watch to learn how an update to NASA’s Neil Gehrels Swift Observatory allowed it to catch a supersized black hole in a distant galaxy munching repeatedly on a circling star. Credit: NASA’s Goddard Space Flight CenterMusic: \"Teapot Waltz\" by Benjamin Parsons from Universal Production MusicWatch this video on the NASA Goddard YouTube channel.Complete transcript available. || Repeating_TDE_Still.jpg (1920x1080) [446.8 KB] || Repeating_TDE_Still_searchweb.png (320x180) [63.3 KB] || Repeating_TDE_Still_thm.png (80x40) [4.6 KB] || 14408_Repeating_TDE_sub100.mp4 (1920x1080) [89.7 MB] || Repeating_TDE_SRT_Captions.en_US.srt [1.7 KB] || Repeating_TDE_SRT_Captions.en_US.vtt [1.6 KB] || 14408_Repeating_TDE_ProRes_1920x1080_2997.mov (1920x1080) [1.2 GB] || 14408_Repeating_TDE_1080.mp4 (1920x1080) [186.2 MB] || ",
            "hits": 78
        },
        {
            "id": 5072,
            "url": "https://svs.gsfc.nasa.gov/5072/",
            "result_type": "Visualization",
            "release_date": "2023-07-10T15:00:00-04:00",
            "title": "Atlantic Hurricane Wind Speed Plots",
            "description": "Atlantic Hurricane season plot of time vs. wind speed.  This version shows:May through Decembereach year separately || atlantic_may_to_dec.years_001_print.jpg (1024x576) [52.2 KB] || atlantic_may_to_dec.years_001_searchweb.png (320x180) [17.2 KB] || atlantic_may_to_dec.years_001.mp4 (3840x2160) [18.9 MB] || atlantic_may_to_dec.years_001 (3840x2160) [0 Item(s)] || atlantic_may_to_dec.years_001.webm (3840x2160) [4.4 MB] || ",
            "hits": 52
        },
        {
            "id": 5097,
            "url": "https://svs.gsfc.nasa.gov/5097/",
            "result_type": "Visualization",
            "release_date": "2023-04-19T00:00:00-04:00",
            "title": "2022 Hurricane Season",
            "description": "2022 Atlantic hurricane season. || hurr2022_v6.8800_print.jpg (1024x1024) [452.1 KB] || hurr2022_v6.8800_searchweb.png (320x180) [126.2 KB] || hurr2022_v6.8800_thm.png (80x40) [8.2 KB] || 2160x2160_1x1_30p (2160x2160) [0 Item(s)] || hurr2022_v6_2160p30.webm (2160x2160) [107.7 MB] || hurr2022_v6_2160p30.mp4 (2160x2160) [1.4 GB] || ",
            "hits": 69
        },
        {
            "id": 4982,
            "url": "https://svs.gsfc.nasa.gov/4982/",
            "result_type": "Visualization",
            "release_date": "2022-04-21T09:00:00-04:00",
            "title": "Complete 2021 Hurricane Season",
            "description": "This special version of the 2021 Hurricane Season data visualization uses all the below layers to show the entire 2021 Hurricane Season, but elements of it were sped up in post production to accelerate the data when no hurricanes are present. This provides the viewer with a more compact experience that focuses exclusively on the hurricanes. || hurr2021_comp5speed_2160p30.04733_print.jpg (1024x576) [248.6 KB] || hurr2021_speedComp7_1080p30.mp4 (1920x1080) [437.0 MB] || Sample_Speed_Composite (3840x2160) [0 Item(s)] || hurr2021_speedComp7.webm (3840x2160) [91.3 MB] || hurr2021_speedComp7.mp4 (3840x2160) [197.5 MB] || ",
            "hits": 79
        },
        {
            "id": 4947,
            "url": "https://svs.gsfc.nasa.gov/4947/",
            "result_type": "Visualization",
            "release_date": "2021-10-30T00:00:00-04:00",
            "title": "2021 Hurricane Season through September",
            "description": "This data visualization shows hurricane tracks over clouds over precipitation over sea surface temperatures from May 1 through September 30th, 2021. This presentation was created for the COP 26 Conference. || hurr2021_4k_comp.4991_print.jpg (1024x576) [337.4 KB] || hurr2021_4k_comp.4991_searchweb.png (320x180) [123.6 KB] || hurr2021_4k_comp.4991_thm.png (80x40) [17.6 KB] || hurr2021_comp_1080p30.webm (1920x1080) [29.0 MB] || hurr2021_comp_1080p30.mp4 (1920x1080) [489.6 MB] || composite (3840x2160) [0 Item(s)] || hurr2021_comp_2160p30.mp4 (3840x2160) [1.7 GB] || hurr2021_comp_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 48
        },
        {
            "id": 4884,
            "url": "https://svs.gsfc.nasa.gov/4884/",
            "result_type": "Visualization",
            "release_date": "2021-02-25T03:00:00-05:00",
            "title": "2020 Hurricane Season",
            "description": "Data visualization of the 2020 Hurricane Season. Starts on May 1, 2020 just showing Sea Surface Temperatures and cloud cover. Precipitation data then dissolves in as hurricanes are tracked throughout 2020. Hurricane tracks include Hurricane strengths depicted with the letter \"T\" for Tropical Storm and numbers for each storm's respective strength. The visualization then culminates by showing all the storm tracks at once.This video is also available on our YouTube channel. || hurr2020_4k_comp.7968_print.jpg (1024x576) [248.0 KB] || hurr2020_4k_comp.7968_searchweb.png (320x180) [93.7 KB] || hurr2020_4k_comp.7968_thm.png (80x40) [7.3 KB] || Example_Composite (1920x1080) [0 Item(s)] || hurr2020_comp_1080p30.mp4 (1920x1080) [637.6 MB] || Example_Composite (3840x2160) [0 Item(s)] || captions_silent.30824.en_US.srt [43 bytes] || hurr2020_4k_comp_2160p30.webm (3840x2160) [167.6 MB] || hurr2020_4k_comp_2160p30.mp4 (3840x2160) [1.6 GB] || hurr2020_comp_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 66
        },
        {
            "id": 13798,
            "url": "https://svs.gsfc.nasa.gov/13798/",
            "result_type": "Produced Video",
            "release_date": "2021-01-12T12:15:00-05:00",
            "title": "Swift, TESS Catch Eruptions from an Active Galaxy",
            "description": "Watch as a monster black hole partially consumes an orbiting giant star. In this illustration, the gas pulled from the star collides with the black hole’s debris disk and causes a flare. Astronomers have named this repeating event ASASSN-14ko. The flares are the most predictable and frequent yet seen from an active galaxy. Credit: NASA’s Goddard Space Flight CenterMusic: \"Ruminations\" from Universal Production MusicComplete transcript available. || periodic_AGN_still.jpg (1920x1080) [512.8 KB] || periodic_AGN_still_print.jpg (1024x576) [229.4 KB] || periodic_AGN_still_searchweb.png (320x180) [77.1 KB] || periodic_AGN_still_web.png (320x180) [77.1 KB] || periodic_AGN_still_thm.png (80x40) [6.3 KB] || periodic_AGN_HQ.mp4 (1920x1080) [230.6 MB] || periodic_AGN_LQ.mp4 (1920x1080) [123.5 MB] || periodic_AGN_prores.mov (1920x1080) [1.3 GB] || periodic_AGN_LQ.webm (1920x1080) [13.2 MB] || periodic_AGN_prores.mov.en_US.srt [1.6 KB] || periodic_AGN_prores.mov.en_US.vtt [1.6 KB] || ",
            "hits": 89
        },
        {
            "id": 13636,
            "url": "https://svs.gsfc.nasa.gov/13636/",
            "result_type": "Produced Video",
            "release_date": "2020-09-30T10:00:00-04:00",
            "title": "Join the Hunt for New Worlds Through Planet Patrol",
            "description": "Want to hunt the skies for uncharted worlds from home? Join Planet Patrol! Watch to learn how you can collaborate with professional astronomers and analyze images from NASA's Transiting Exoplanet Survey Satellite (TESS) on your own. You'll answer questions about each TESS image and help scientists figure out if they contain signals from new worlds or planetary imposters.Credit: NASA's Goddard Space Flight Center/Conceptual Image LabMusic: \"A Wonderful Loaf\" from Universal Production MusicWatch this video on the NASA Goddard YouTube channel.Complete transcript available. || Planet_Patrol_Still-logo_print.jpg (1024x576) [111.4 KB] || Planet_Patrol_Still-logo.jpg (3840x2160) [1.1 MB] || Planet_Patrol_Still-logo_searchweb.png (320x180) [61.9 KB] || Planet_Patrol_Still-logo_thm.png (80x40) [9.8 KB] || 13636_Planet_Patrol_Best_1080.mp4 (1920x1080) [100.9 MB] || 13636_Planet_Patrol_1080.mp4 (1920x1080) [39.6 MB] || 13636_Planet_Patrol_Best_1080.webm (1920x1080) [7.9 MB] || 13636_Planet_Patrol_ProRes_3840x2160_2997.mov (3840x2160) [3.6 GB] || 13636_Planet_Patrol_4k.mp4 (3840x2160) [114.2 MB] || 13636_Planet_Patrol_SRT_Captions.en_US.srt [878 bytes] || 13636_Planet_Patrol_SRT_Captions.en_US.vtt [890 bytes] || ",
            "hits": 67
        },
        {
            "id": 40409,
            "url": "https://svs.gsfc.nasa.gov/gallery/fermi-stills/",
            "result_type": "Gallery",
            "release_date": "2020-01-22T00:00:00-05:00",
            "title": "Fermi Stills",
            "description": "A collection of Fermi-related still images, illustrations, graphics and short clips.",
            "hits": 291
        },
        {
            "id": 13321,
            "url": "https://svs.gsfc.nasa.gov/13321/",
            "result_type": "Produced Video",
            "release_date": "2019-09-26T12:00:00-04:00",
            "title": "Rare Black Hole Event Seen by Satellites and Ground-based Telescopes Live Shots",
            "description": "B-roll package that corresponds to the following:SUGGESTED QUESTIONSWhat is a black hole and what did NASA and its partners discover?How does a black hole destroy a star?How did NASA and other observatories work together to capture this moment?What new things did we learn from this catastrophic event?How far away is this black hole? Could our Sun be eaten by a black hole?Black holes are black right? How do scientists study something that can’t be seen?Where can we learn more?QUESTIONS FOR LONGER INTERVIEWS:How does a planet-hunting mission help us learn about black holes?How did the scientists involved first learn about the event?What is #BlackHoleWeek?QUICK LINKS TO VIDEO AND AUDIOClick for downloadable AUDIO SOUNDBITE with NASA Scientist Knicole Colon.Click for downloadable soundbites with NASA Scientist Knicole ColonClick for downloadable soundbites with NASA Scientist Brad CenkoClick for downloadable soundbites with Carnegie astronomer Tom Holoien. || b_roll_slate.png (1280x720) [336.8 KB] || Rare_Black_Hole_Event_Broll_720p.webm (1280x720) [37.1 MB] || Rare_Black_Hole_Event_Broll_720p.mp4 (1280x720) [677.9 MB] || ",
            "hits": 111
        },
        {
            "id": 13237,
            "url": "https://svs.gsfc.nasa.gov/13237/",
            "result_type": "Produced Video",
            "release_date": "2019-09-26T11:00:00-04:00",
            "title": "TESS Catches Its First Star-destroying Black Hole",
            "description": "When a star strays too close to a black hole, intense tides break it apart into a stream of gas. The tail of the stream escapes the system, while the rest of it swings back around, surrounding the black hole with a disk of debris. This video includes images of a tidal disruption event called ASASSN-19bt taken by NASA’s Transiting Exoplanet Survey Satellite (TESS) and Swift missions, as well as an animation showing how the event unfolded. Credit: NASA’s Goddard Space Flight CenterMusic: \"Games Show Sphere 03\" from Universal Production MusicWatch this video on the NASA Goddard YouTube channel.Complete transcript available. || TESS_TDE_Still_print.jpg (1024x576) [87.3 KB] || TESS_TDE_Still.jpg (3840x2160) [629.6 KB] || TESS_TDE_Still_searchweb.png (320x180) [68.3 KB] || TESS_TDE_Still_thm.png (80x40) [5.3 KB] || 13237_TESS_TDE_ProRes_1920x1080.mov (1920x1080) [1.6 GB] || 13237_TESS_TDE_1080_Best.mp4 (1920x1080) [380.2 MB] || 13237_TESS_TDE_1080.mp4 (1920x1080) [125.6 MB] || 13237_TESS_TDE_1080_Best.webm (1920x1080) [12.6 MB] || 13237_TESS_TDE_SRT_Captions.en_US.srt [2.2 KB] || 13237_TESS_TDE_SRT_Captions.en_US.vtt [2.2 KB] || ",
            "hits": 82
        },
        {
            "id": 12994,
            "url": "https://svs.gsfc.nasa.gov/12994/",
            "result_type": "Produced Video",
            "release_date": "2018-07-12T11:00:00-04:00",
            "title": "NASA's Fermi Links Cosmic Neutrino to Monster Black Hole",
            "description": "The discovery of a high-energy neutrino on Sept. 22, 2017, sent astronomers on a chase to locate its source -- a supermassive black hole in a distant galaxy. Watch to learn more.Credit: NASA’s Goddard Space Flight CenterMusic: \"Hidden Tides\" from Killer TracksWatch this video on the NASA Goddard YouTube channel.Complete transcript available. || Blazar.00590_print.jpg (1024x576) [61.2 KB] || Blazar.00590.png (3840x2160) [5.2 MB] || Blazar.00590.jpg (3840x2160) [536.3 KB] || Blazar.00590_searchweb.png (320x180) [46.6 KB] || Blazar.00590_thm.png (80x40) [4.6 KB] || 12994_Fermi_Blazar_Neutrino_1080p.webm (1920x1080) [17.1 MB] || 12994_Fermi_Blazar_Neutrino_1080.mp4 (1920x1080) [154.8 MB] || 12994_Fermi_Blazar_Neutrino_1080p.mov (1920x1080) [229.5 MB] || 12994_Fermi_Blazar_Neutrino_SRT_Captions.en_US.srt [2.8 KB] || 12994_Fermi_Blazar_Neutrino_SRT_Captions.en_US.vtt [2.7 KB] || 12994_Fermi_Blazar_Neutrino_H264_4k_2997.mp4 (3840x2160) [380.3 MB] || 12994_Fermi_Blazar_Neutrino_4K.mov (3840x2160) [445.0 MB] || 12994_Fermi_Blazar_Neutrino_ProRes_4k_2997.mov (3840x2160) [6.5 GB] || ",
            "hits": 164
        },
        {
            "id": 12499,
            "url": "https://svs.gsfc.nasa.gov/12499/",
            "result_type": "Produced Video",
            "release_date": "2017-03-20T14:00:00-04:00",
            "title": "Swift Charts a Star's 'Death Spiral' into Black Hole",
            "description": "This animation illustrates how debris from a tidally disrupted star collides with itself, creating shock waves that emit ultraviolet and optical light far from the black hole. According to Swift observations of ASASSN-14li, these clumps took about a month to fall back to the black hole, where they produced changes in the X-ray emission that correlated with the earlier UV and optical changes.Credit: NASA's Goddard Space Flight CenterWatch this video on the NASA.gov Video YouTube channel. || TD_Shocks_Still_print.jpg (1024x576) [115.2 KB] || TD_Shocks_Still.png (3840x2160) [32.6 MB] || TD_Shocks_Still.jpg (3840x2160) [922.7 KB] || TD_Shocks_Still_searchweb.png (320x180) [59.5 KB] || TD_Shocks_Still_thm.png (80x40) [4.8 KB] || 12499_Tidal_Disruption_Shocks_at_Apocenter_FINAL_1080.mov (1920x1080) [50.7 MB] || 12499_Tidal_Disruption_Shocks_at_Apocenter_FINAL_VX-280970_youtube_hq.mov (1920x1080) [25.7 MB] || 12499_Tidal_Disruption_Shocks_at_Apocenter_FINAL_Good_1080.m4v (1920x1080) [44.4 MB] || 12499_Tidal_Disruption_Shocks_at_Apocenter_FINAL_VX-280970_appletv.m4v (1280x720) [25.2 MB] || 12499_Tidal_Disruption_Shocks_at_Apocenter_FINAL_Compatible.m4v (960x540) [10.2 MB] || 12499_Tidal_Disruption_Shocks_at_Apocenter_FINAL_VX-280970_HD.wmv (1920x1080) [6.9 MB] || 12499_Tidal_Disruption_Shocks_at_Apocenter_FINAL_Compatible.webm (960x540) [3.8 MB] || 12499_Tidal_Disruption_Shocks_at_Apocenter_FINAL_VX-280970_appletv_subtitles.m4v (1280x720) [25.2 MB] || 12499_Tidal_Disruption_SRT_Captions.en_US.srt [509 bytes] || 12499_Tidal_Disruption_SRT_Captions.en_US.vtt [522 bytes] || 12499_Tidal_Disruption_Shocks_at_Apocenter_FINAL_ProRes_1920x1080_2997.mov (1920x1080) [591.1 MB] || ",
            "hits": 123
        },
        {
            "id": 12428,
            "url": "https://svs.gsfc.nasa.gov/12428/",
            "result_type": "Produced Video",
            "release_date": "2016-12-02T00:00:00-05:00",
            "title": "Hubble Facilities",
            "description": "NASA’s Goddard Space Flight Center is home to the Hubble Space Telescope Operations Project, the government’s team of technical managers and scientists who oversee all aspects of the Hubble mission. Under its direction, an integrated group of civil servants and contractors at Goddard collectively known as the operations team is responsible for Hubble’s mission operations—those functions of the mission that operate together to assure the health, safety, and performance of the spacecraft. Examples include monitoring and adjusting the spacecraft’s subsystems (e.g. power, thermal, data management, pointing control, etc.), flight software development, sustaining engineering of the control center hardware and software, and systems administration of the network and ground system components.A separate contractor team at the Space Telescope Science Institute in Baltimore is similarly responsible for science operations—the functions necessary to award telescope time, schedule observations, calibrate the received data, and archive the datasets. Working closely together, Goddard and the STScI operate Hubble 24 hours a day, 7 days a week, though most of the commanding to the telescope and receipt of its science data is accomplished by computers via automated operations. || ",
            "hits": 33
        },
        {
            "id": 12348,
            "url": "https://svs.gsfc.nasa.gov/12348/",
            "result_type": "Produced Video",
            "release_date": "2016-08-25T00:00:00-04:00",
            "title": "GLOBE Observer App Promo",
            "description": "GLOBE Observer App PromoMusic Credit: Killer TracksKOK_2402_61_The_Hopscotch_Riddle_Benoliel_Pelouse_885084 || 12348_GLOBE_App_Teaser_youtube.00373_print.jpg (1024x576) [103.1 KB] || 12348_GLOBE_App_Teaser_youtube.00373_searchweb.png (320x180) [90.1 KB] || 12348_GLOBE_App_Teaser_youtube.00373_thm.png (80x40) [6.9 KB] || 12348_GLOBE_App_Teaser_appletv.m4v (1280x720) [25.1 MB] || 12348_GLOBE_App_Teaser.mpeg (1280x720) [166.7 MB] || 12348_GLOBE_App_Teaser_youtube.mov (1280x720) [419.9 MB] || 12348_GLOBE_App_Teaser.mov (1280x720) [662.4 MB] || 12348_GLOBE_App_Teaser.webm (960x540) [20.0 MB] || 12348_GLOBE_App_Teaser_appletv_subtitles.m4v (1280x720) [25.1 MB] || 12348_GLOBE_App_Teaser.en_US.vtt [665 bytes] || 12348_GLOBE_App_Teaser.en_US.srt [699 bytes] || 12348_GLOBE_App_Teaser_ipod_sm.mp4 (320x240) [8.4 MB] || ",
            "hits": 36
        },
        {
            "id": 12005,
            "url": "https://svs.gsfc.nasa.gov/12005/",
            "result_type": "Produced Video",
            "release_date": "2015-10-21T13:00:00-04:00",
            "title": "Massive Black Hole Shreds Passing Star",
            "description": "A star approaching too close to a massive black hole is torn apart by tidal forces, as shown in this artist's rendering. Filaments containing much of the star's mass fall toward the black hole. Eventually these gaseous filaments merge into a smooth, hot disk glowing brightly in X-rays. As the disk forms, its central region heats up tremendously, which drives a flow of material, called a wind, away from the disk.   Credit: NASA's Goddard Space Flight Center/CI LabWatch this video on the NASA Goddard YouTube channel.For complete transcript, click here. || Swift_Tidal_Disruption_2_Still_print.jpg (1024x576) [172.7 KB] || Swift_Tidal_Disruption_2_Still.jpg (1920x1080) [606.7 KB] || Swift_Tidal_Disruption_2_Still_web.png (320x180) [98.5 KB] || Swift_Tidal_Disruption_2_Still_thm.png (80x40) [6.8 KB] || Swift_Tidal_Disruption_2_Still_searchweb.png (320x180) [98.4 KB] || APPLE_TV_12005_Swift_Tidal_Music_FINAL_appletv_subtitles.m4v (1280x720) [37.5 MB] || 12005_Swift_Tidal_Music_MPEG4_1920X1080_2997.mp4 (1920x1080) [40.5 MB] || 12005_Swift_Tidal_Music_MPEG4_1920X1080_2997.webm (1920x1080) [7.7 MB] || WMV_12005_Swift_Tidal_Music_FINAL_HD.wmv (1920x1080) [49.6 MB] || APPLE_TV_12005_Swift_Tidal_Music_FINAL_appletv.m4v (1280x720) [37.4 MB] || 12005_Swift_Tidal_SRT_Captions.en_US.vtt [261 bytes] || 12005_Swift_Tidal_Music_FINAL_lowres.mp4 (480x272) [10.6 MB] || NASA_PODCAST_12005_Swift_Tidal_Music_FINAL_ipod_sm.mp4 (320x240) [12.3 MB] || 12005_Swift_Tidal_SRT_Captions.en_US.srt [248 bytes] || 12005_Swift_Tidal_Music_ProRes_1920x1080_5994.mov (1920x1080) [2.1 GB] || 12005_Swift_Tidal_Music_H264_Good_1920x1080_2997.mov (1920x1080) [301.2 MB] || 12005_Swift_Tidal_Music_FINAL_youtube_hq.mov (1920x1080) [1.3 GB] || 12005_Swift_Tidal_Music_H264_Best_1920x1080_5994.mov (1920x1080) [2.5 GB] || ",
            "hits": 210
        },
        {
            "id": 11818,
            "url": "https://svs.gsfc.nasa.gov/11818/",
            "result_type": "Produced Video",
            "release_date": "2015-03-23T11:00:00-04:00",
            "title": "Wyoming Snowmelt 2013",
            "description": "Images from NASA/USGS Landsat satellites show the snowcover in Wyoming's Fremont Lake Basin throughout 2013.  NASA scientists have used Landsat data from 1972-2013 to determine that the snow is melting 16 days earlier. || Wyoming_Snowmelt_2013_nasaportal_print.jpg (1024x576) [212.1 KB] || Wyoming_Snowmelt_2013_nasaportal_searchweb.png (320x180) [143.5 KB] || Wyoming_Snowmelt_2013_nasaportal_web.png (320x180) [143.5 KB] || Wyoming_Snowmelt_2013_nasaportal_thm.png (80x40) [8.7 KB] || Wyoming_Snowmelt_2013_youtube_hq.mov (1920x1080) [15.1 MB] || Wyoming_Snowmelt_2013_appletv.m4v (960x540) [6.1 MB] || Wyoming_Snowmelt_2013_prores.mov (1280x720) [234.7 MB] || Wyoming_Snowmelt_2013_1280x720.wmv (1280x720) [6.9 MB] || Wyoming_Snowmelt_2013_appletv.webm (960x540) [1.5 MB] || Wyoming_Snowmelt_2013_nasaportal.mov (640x360) [4.5 MB] || Wyoming_Snowmelt_2013_ipod_lg.m4v (640x360) [2.3 MB] || GSFC_20150323_Wyoming_m11818_Snowmelt.en_US.vtt [64 bytes] || Wyoming_Snowmelt_2013_ipod_sm.mp4 (320x240) [1.0 MB] || ",
            "hits": 43
        },
        {
            "id": 11436,
            "url": "https://svs.gsfc.nasa.gov/11436/",
            "result_type": "Produced Video",
            "release_date": "2014-01-30T11:00:00-05:00",
            "title": "Disk Detective: Search for Planetary Habitats",
            "description": "A new NASA-sponsored website, DiskDetective.org, lets the public discover embryonic planetary systems hidden among data from NASA's Wide-field Infrared Survey Explorer (WISE) mission. The site is led and funded by NASA and developed by the Zooniverse, a collaboration of scientists, software developers and educators who collectively develop and manage the Internet's largest, most popular and most successful citizen science projects. WISE, located in Earth orbit and designed to survey the entire sky in infrared light, completed two scans between 2010 and 2011. It took detailed measurements of more than 745 million objects, representing the most comprehensive survey of the sky at mid-infrared wavelengths currently available. Astronomers have used computers to search this haystack of data for planet-forming environments and narrowed the field to about a half-million sources that shine brightly in the infrared, indicating they may be \"needles\": dust-rich circumstellar disks that are absorbing their star's light and reradiating it as heat. Planets form and grow within these disks. But galaxies, interstellar dust clouds, and asteroids also glow in the infrared, which stymies automated efforts to identify planetary habitats. Disk Detective incorporates images from WISE and other sky surveys in the form of brief animations the website calls flip books. Volunteers view a flip book and then classify the object based on simple criteria, such as whether the image is round or includes multiple objects. By collecting this information, astronomers will be able to assess which sources should be explored in greater detail. The project aims to find two types of developing planetary environments. The first, known as young stellar object disks, typically are less than 5 million years old, contain large quantities of gas, and are often found in or near young star clusters. For comparison, our own solar system is 4.6 billion years old. The other type of habitat is called a debris disk. These systems tend to be older than 5 million years, possess little or no gas, and contain belts of rocky or icy debris that resemble the asteroid and Kuiper belts found in our own solar system. Vega and Fomalhaut, two of the brightest stars in the sky, host debris disks. Through Disk Detective, volunteers will help the astronomical community discover new planetary nurseries that will become future targets for NASA's Hubble Space Telescope and its successor, the James Webb Space Telescope. || ",
            "hits": 31
        },
        {
            "id": 30280,
            "url": "https://svs.gsfc.nasa.gov/30280/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-21T12:00:00-04:00",
            "title": "NASA Science Facilities on the International Space Station",
            "description": "The International Space Station offers a unique vantage point for observing the Earth's ecosystems with hands-on and automated equipment. These options enable astronauts to observe and explain what they witness in real time. Station crews can observe and collect camera images of events as they unfold and may also provide input to ground personnel programming the station's automated Earth-sensing systems. This flexibility is an advantage over sensors on unmanned spacecraft, especially when unexpected natural events such as volcanic eruptions and earthquakes occur.A wide variety of Earth-observation payloads can be attached to the exposed facilities on the station's exterior; already, several instruments have been proposed by researchers from the partner countries. The station contributes to humanity by collecting data on the global climate, environmental change and natural hazards using its unique complement of crew-operated and automated Earth-observation payloads. || ",
            "hits": 155
        },
        {
            "id": 30192,
            "url": "https://svs.gsfc.nasa.gov/30192/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-17T12:00:00-04:00",
            "title": "Using MISR to View Dust",
            "description": "On October 18, 2002, a large dust plume extended across countries bordering the eastern Mediterranean Sea. Information on the horizontal and vertical extent of the dust are provided by these views from the Multi-angle Imaging SpectroRadiometer (MISR). The left-hand panel portrays the scene as viewed by the instrument's vertical-viewing (nadir) camera. Here only some of the dust over eastern Syria and southeastern Turkey can be discerned. The dust is much more obvious in the center panel, which is a view from MISR's most steeply forward-looking camera. The right-hand panel is an elevation field derived from automated MISR stereoscopic processing, in which the heights of clouds and certain parts of the dust plume are retrieved. Clouds within the image area are situated between about 2 and 5.5 kilometers above sea level, and the dust is located below most of the cloud, at heights of about 1.5 kilometers or less. || ",
            "hits": 13
        },
        {
            "id": 30020,
            "url": "https://svs.gsfc.nasa.gov/30020/",
            "result_type": "Hyperwall Visual",
            "release_date": "2012-11-21T00:00:00-05:00",
            "title": "The Not-So \"Milky\" Milky Way",
            "description": "Bound together by gravity, galaxies are large collections of stars and stellar remnants that coexist with interstellar gas and dust (as well as dark matter). On a clear night, our galaxy—the Milky Way—can be seen by the naked eye, but because our eyes cannot distinguish the individual stars that make up the glowing band of light, it appears “milky.” Infrared telescopes, however, see with different “eyes,” capable of detecting various wavelengths (outside the visible range) that provide unprecedented views of our Galaxy and beyond. This not-so-milky image of the Milky Way—nearly free of the obscuring effects of interstellar dust—was made with data from two highly automated 1.3 m ground-based telescopes used during the Two Micron All Sky Survey (2MASS) project. 2MASS is a joint project of the University of Massachusetts in Amherst and the Infrared Processing and Analysis Center at the California Institute of Technology. 2MASS has uniformly scanned the entire sky in three near-infrared bands, using two highly-automated 1.3-meter telescopes, one at a northern hemisphere facility and the other in a southern hemisphere facility. Images such as this, allow scientists to gain a better understanding of the structure of our Galaxy and the universe. || ",
            "hits": 887
        },
        {
            "id": 3351,
            "url": "https://svs.gsfc.nasa.gov/3351/",
            "result_type": "Visualization",
            "release_date": "2005-04-04T00:00:00-04:00",
            "title": "MODIS Sea Surface Temperature around the Australian Continent",
            "description": "The earliest technique for measuring Sea Surface Temperature (SST) was dipping a thermometer into a bucket of water. The first automated technique for determining SST was accomplished by measuring the temperature of water in the intake port of large ships. A large network of coastal buoys in U.S. waters is maintained by the National Data Buoy Center (NDBC). Since about 1990, there has also been an extensive array of moored buoys maintained across the equatorial Pacific Ocean designed to help monitor and predict the El Niño phenomenon. Since the 1980s satellites have been increasingly utilized to measure SST and have provided an enormous leap in our ability to view the spatial and temporal variation in SST. The satellite measured SST provides both a synoptic view of the ocean and a high frequency of repeat views, allowing the examination of basin-wide upper ocean dynamics not possible with ships or buoys. For example, a ship traveling at 10 knots (20 km/h) would require 10 years to cover the same area a satellite covers in two minutes.This animation uses SST data taken at nighttime from the MODIS/Aqua and MODIS/Terra satellites. This data has many important applications that permit scientists to use ocean temperatures to observe ocean circulation and locate major ocean currents. Ocean current analysis can facilitate ocean transportation. Additionally, by using SST, scientists can monitor changes in ocean temperatures and relate these to weather and climate changes like coral bleaching around the Great Barrier Reef. Finally, the SST changes have many important biological implications for hospitable/inhospitable conditions for many organisms including species of plankton, seagrasses, shellfish, fish, coral, and mammals. || ",
            "hits": 14
        },
        {
            "id": 20001,
            "url": "https://svs.gsfc.nasa.gov/20001/",
            "result_type": "Animation",
            "release_date": "2003-11-03T12:00:00-05:00",
            "title": "Sensor Web: Smart Satellites",
            "description": "Smart Satellites Get a Closer Look  - Along with semi-autonomous advancements in the RapidFire system, NASA is testing new integration techniques with the EO-1 spacecraft and its cutting edge ALI instrument. It works like this: when MODIS spots an area on the ground that may indicate fire, advanced software puts out an alert. That message essentially instructs ALI to point itself towards the zone of interest and get a close-up. If the resulting picture from this orbital dance shows risk for fire, the system can alert experts and officials to take action on the ground. The whole process is automated. That makes the observations and analysis fast, and in terms of fire management, speed counts. A system like this has the potential to greatly accelerate notification of potential trouble spots before they can get out of hand. || ",
            "hits": 10
        },
        {
            "id": 2280,
            "url": "https://svs.gsfc.nasa.gov/2280/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Europe",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.  These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard on NASA's Terra satellite.  The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data.  Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week.  Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands.  Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps.  The data product is available at http://edcdaac.nasa.gov. || ",
            "hits": 21
        },
        {
            "id": 2281,
            "url": "https://svs.gsfc.nasa.gov/2281/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of South America",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 24
        },
        {
            "id": 2282,
            "url": "https://svs.gsfc.nasa.gov/2282/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Asia",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. The data product is available at http://edcdaac.nasa.gov. || ",
            "hits": 35
        },
        {
            "id": 2283,
            "url": "https://svs.gsfc.nasa.gov/2283/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Australia",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 26
        },
        {
            "id": 2264,
            "url": "https://svs.gsfc.nasa.gov/2264/",
            "result_type": "Visualization",
            "release_date": "2001-09-26T12:00:00-04:00",
            "title": "Global MODIS Land Cover",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas. These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging -Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 76
        },
        {
            "id": 2265,
            "url": "https://svs.gsfc.nasa.gov/2265/",
            "result_type": "Visualization",
            "release_date": "2001-09-26T12:00:00-04:00",
            "title": "North America and Central America MODIS Land Cover",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas. These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging -Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 39
        },
        {
            "id": 2266,
            "url": "https://svs.gsfc.nasa.gov/2266/",
            "result_type": "Visualization",
            "release_date": "2001-09-26T12:00:00-04:00",
            "title": "MODIS Land Cover of Africa",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use.  These new maps, based on a global digital database of land cover types that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget, through closer monitoring of water and land resources, including forested and agricultural areas. These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging -Spectroradiometer (MODIS) instrument aboard on NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000, but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date.  They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was previously possible, reducing the time to generate maps from months or years to about one week.Each MODIS land cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 53
        }
    ]
}