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    "results": [
        {
            "id": 40503,
            "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall-power-playlist-earth-science/",
            "result_type": "Gallery",
            "release_date": "2023-08-28T00:00:00-04:00",
            "title": "Hyperwall Power Playlist - Earth Science Focus",
            "description": "This is a collection of our most powerful, newsworthy, and frequently used Hyperwall-ready visualizations, along with several that haven't gotten the attention they deserve. They're especially great for more general or top-level science talks, or to \"set the scene\" before a deep dive into a more focused subject or dataset. We've tried to cover the subject areas our speakers focus on most. \n\nIf you're not seeing what you're looking for, there is a huge library of visualizations more localized or specialized in subject - please use the Search function above, and filter \"Result type\" for \"Hyperwall Visual.\"\n\n If you'd like to use one of these visualizations in your Hyperwall presentation, we'll need to know which element on which page. On the visualization's web page, below the visual you'd like to use, you'll see a Link icon next to the Download button. All we need is for you to click on that icon and include that link in your presentation Powerpoint/Keynote or visualization list. Additionally, please check our Hyperwall How-To Guide  for tips on designing your Hyperwall presentation, file specifications, and Powerpoint/Keynote templates.",
            "hits": 252
        },
        {
            "id": 40484,
            "url": "https://svs.gsfc.nasa.gov/gallery/nasaand-agriculture/",
            "result_type": "Gallery",
            "release_date": "2023-06-08T00:00:00-04:00",
            "title": "NASA and Agriculture Video",
            "description": "The farmers responsible for the food that reaches your plate need a lot of a very precious and limited resource, water. NASA works with farmers like Dwane Roth of Kansas to help them track their water use. Roth says that farmers like him are seeing more frequent, hotter days with less rain. “We need to grow more with less and get as much out of each drop of water we can,” he says. NASA helps to promote the use of Earth observations to strengthen food security. One solution is OpenET, a system that puts near-real-time water data into the hands of farmers in the United States.",
            "hits": 95
        },
        {
            "id": 40463,
            "url": "https://svs.gsfc.nasa.gov/gallery/cosmic-cycles2-earth-our-home/",
            "result_type": "Gallery",
            "release_date": "2023-05-01T00:00:00-04:00",
            "title": "Cosmic Cycles 2 Earth Our Home",
            "description": "Our home and the only planet we know of to possess life.  In the years since we first managed to leave its atmosphere, our understanding of it has grown exponentially.  NASA now observes and measures Earth with an unmatched fleet of spacecraft.  Our influence on this incredibly complex and ever-changing sphere is both obvious and insignificant.",
            "hits": 19
        },
        {
            "id": 14291,
            "url": "https://svs.gsfc.nasa.gov/14291/",
            "result_type": "Produced Video",
            "release_date": "2023-02-11T10:00:00-05:00",
            "title": "Landsat 8 - A Decade of Service",
            "description": "L8_Anniversary_Thumb.jpg (1280x720) [449.9 KB] || NASA_L8Anniversary_Final.01584_print.jpg (1024x576) [138.4 KB] || NASA_L8Anniversary_Final.01584_searchweb.png (320x180) [75.8 KB] || NASA_L8Anniversary_Final.01584_thm.png (80x40) [5.7 KB] || NASA_L8Anniversary_Final.01584_web.png (320x180) [75.8 KB] || NASA_L8Anniversary_Final.webm (1920x1080) [72.5 MB] || NASA_L8Anniversary_Final.mp4 (1920x1080) [1.2 GB] || L8Anniv.en_US.srt [13.9 KB] || L8Anniv.en_US.vtt [13.2 KB] || ",
            "hits": 189
        },
        {
            "id": 13899,
            "url": "https://svs.gsfc.nasa.gov/13899/",
            "result_type": "Produced Video",
            "release_date": "2021-07-28T15:00:00-04:00",
            "title": "Snack Time with NASA: Chips & Dip",
            "description": "Music credit: “Happy Accident” from Universal Production MusicThis video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery is provided by pond5.com and is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || 13899_Thumbnail_print.jpg (1024x576) [188.2 KB] || 13899_Thumbnail.png (2646x1490) [5.6 MB] || 13899_Thumbnail_searchweb.png (320x180) [95.2 KB] || 13899_Thumbnail_web.png (320x180) [95.2 KB] || 13899_Thumbnail_thm.png (80x40) [11.2 KB] || 13899_Cooking_Show_Crops.webm (960x540) [220.1 MB] || TWITTER_720_13899_Cooking_Show_Crops.mp4 (1280x720) [98.8 MB] || 13899_Cooking_Show_Crops.mp4 (1920x1080) [1.2 GB] || 13899_Cooking_Show_Crops.en_US.srt [12.0 KB] || 13899_Cooking_Show_Crops.en_US.vtt [12.0 KB] || ",
            "hits": 18
        },
        {
            "id": 4831,
            "url": "https://svs.gsfc.nasa.gov/4831/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Uatumã Biological Reserve Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the Uatumã Biological Reserve and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation to show the lake formation over time as well as the increased pasture and croplands to the west of the lake. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || dam_finalcomp.2009_print.jpg (1024x576) [216.7 KB] || dam_finalcomp.2009_searchweb.png (320x180) [80.9 KB] || dam_finalcomp.2009_thm.png (80x40) [5.9 KB] || dam_finalcomp_1080p30.mp4 (1920x1080) [22.1 MB] || Example_Composite (1920x1080) [0 Item(s)] || dam_finalcomp_1080p30.webm (1920x1080) [3.3 MB] || dam_finalcomp_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 32
        },
        {
            "id": 40419,
            "url": "https://svs.gsfc.nasa.gov/gallery/2020film-fest/",
            "result_type": "Gallery",
            "release_date": "2020-07-13T00:00:00-04:00",
            "title": "2020 Goddard Summer Film Fest",
            "description": "The Goddard Office of Communications hosts a virtual showcase of their latest productions at the eleventh annual Goddard Film Festival, highlighting the center’s achievements over the past year in astrophysics, Earth science, heliophysics and planetary science. The videos showcases recent and upcoming missions and events such as the James Webb Space Telescope, Operation IceBridge, Landsat, TESS, MAVEN, Hubble and much more. The festival also features bonus behind-the-scenes videos from the producers, animators and data visualizers.",
            "hits": 75
        },
        {
            "id": 40413,
            "url": "https://svs.gsfc.nasa.gov/gallery/earth-science-playlist/",
            "result_type": "Gallery",
            "release_date": "2020-04-01T00:00:00-04:00",
            "title": "Earth Science Playlist",
            "description": "No description available.",
            "hits": 11
        },
        {
            "id": 13543,
            "url": "https://svs.gsfc.nasa.gov/13543/",
            "result_type": "Produced Video",
            "release_date": "2020-02-12T10:00:00-05:00",
            "title": "Landsat: Farming Data From Space",
            "description": "Landsat satellites have been gathering data for 48 years, equipping scientists and farmers to answer big questions about how to improve agriculture around the world. From tracking crop production, assessing crop health, and monitoring water use, Landsat data provides tangible benefits to the USA and the world. Landsat satellites are built and lauched by NASA, and operated by USGS. Complete transcript available.Music: \"Lines of Enquiry\" by Theo Golding [PRS], published by Atmosphere Music [PRS]Watch this video on the NASA Goddard YouTube channel. || LandsatAg-Thumbnail.png (1920x1080) [4.0 MB] || LandsatAg-Thumbnail_print.jpg (1024x576) [166.3 KB] || LandsatAg-Thumbnail_searchweb.png (320x180) [109.3 KB] || LandsatAg-Thumbnail_thm.png (80x40) [6.6 KB] || LandsatAg-FINAL.mov (1920x1080) [3.2 GB] || LandsatAg-FINAL_youtube_1080.mp4 (1920x1080) [148.1 MB] || LandsatAg-FINAL_facebook_720.mp4 (1280x720) [110.9 MB] || LandsatAg-FINAL_twitter_720.mp4 (1280x720) [20.1 MB] || LandsatAg-FINAL.webm (960x540) [39.3 MB] || LandsatAg-FINAL-captions.en_US.srt [1.8 KB] || LandsatAg-FINAL-captions.en_US.vtt [1.8 KB] || ",
            "hits": 131
        },
        {
            "id": 13417,
            "url": "https://svs.gsfc.nasa.gov/13417/",
            "result_type": "Produced Video",
            "release_date": "2019-11-27T12:00:00-05:00",
            "title": "Landsat Croplands Data Overview",
            "description": "The U.S. Department of Agriculture tracks how many acres and the annual yield for every crop produced. One method used to estimate crop acreage and yield is remote-sensing data from the NASA-USGS Landsat satellite program. The program started in 1997,with North Dakota, and by 2008 covered the entire lower 48 states and the District of Columbia. Music: \"Downloading Landscapes\" by Andrew Michael Britton [PRS] and David Stephen Goldsmith [PRS]. Published by Atmosphere Music Ltd [PRS].Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13417_Landsat_Croplands_print.jpg (1920x1080) [940.0 KB] || 13417_Landsat_Croplands_print_searchweb.png (180x320) [52.1 KB] || 13417_Landsat_Croplands_print_thm.png (80x40) [4.6 KB] || 13417_Landsat_Croplands.webm (1920x1080) [19.7 MB] || 13417_Landsat_Croplands.mp4 (1920x1080) [292.2 MB] || 13417_Landsat_Croplands-captions.en_US.srt [3.0 KB] || 13417_Landsat_Croplands-captions.en_US.vtt [3.0 KB] || 13417_Landsat_Croplands.mov (1920x1080) [4.8 GB] || 13417_Landsat_Croplands.mp4.hwshow [423 bytes] || ",
            "hits": 161
        },
        {
            "id": 4407,
            "url": "https://svs.gsfc.nasa.gov/4407/",
            "result_type": "Visualization",
            "release_date": "2015-12-15T11:00:00-05:00",
            "title": "Monthly burned area from the Global Fire Emissions Database (GFED)",
            "description": "The final animation of the monthly burned area percent shown in the Robinson projection with a colorbar and date overlay || comp_burned_area_pct.2234_print.jpg (1024x576) [128.4 KB] || comp_burned_area_pct.2234_searchweb.png (320x180) [78.4 KB] || comp_burned_area_pct.2234_thm.png (80x40) [6.4 KB] || comp_burned_area_pct.2234_web.png (320x180) [78.4 KB] || comp_burned_area_pct_1080p30.mp4 (1920x1080) [44.1 MB] || comp_burned_area_pct_1080p30.webm (1920x1080) [8.4 MB] || robinson_final (1920x1080) [0 Item(s)] || Comp_burned_area_pct_720p30.mp4 (1280x720) [26.2 MB] || robinson_final (3840x2160) [0 Item(s)] || comp_burned_area_4407.key [29.7 MB] || comp_burned_area_4407.pptx [27.1 MB] || comp_burned_area_pct_4k_2160p30.mp4 (3840x2160) [142.3 MB] || comp_burned_area_pct_1080p30.mp4.hwshow [228 bytes] || ",
            "hits": 171
        },
        {
            "id": 12095,
            "url": "https://svs.gsfc.nasa.gov/12095/",
            "result_type": "Produced Video",
            "release_date": "2015-12-15T10:30:00-05:00",
            "title": "AGU El Nino Press Conference Release Materials",
            "description": "Forty percent of California's annual water supply comes in the form of atmospheric rivers, tendrils of moisture that travel from the Pacific Ocean and rain out when they move over the coast. New research on how El Niño affects atmospheric rivers headed for the California coast suggest that while the number of atmospheric rivers California receives (typically ten per year) will not change during an El Niño, they will be stronger, warmer, and thus wetter. || ",
            "hits": 37
        },
        {
            "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": 362
        },
        {
            "id": 11322,
            "url": "https://svs.gsfc.nasa.gov/11322/",
            "result_type": "Produced Video",
            "release_date": "2013-08-13T00:00:00-04:00",
            "title": "Blushing Botanicals",
            "description": "A healthy plant is a glowing plant. That's because healthy plants that engage in photosynthesis—convert sunlight to energy—also emit fluorescent light. It's the same physical process that makes everyday objects glow in the dark. While human eyes are unable to detect the faint glow from plants, satellites hundreds of miles above Earth are up to the task. A team of researchers led by NASA scientists identified the fluorescence fingerprint in data collected by an instrument on a European meteorological satellite. A visualization of the data, released in 2013, allows scientists for the first time to see global changes in terrestrial plant fluorescence over the course of a month. That means a front-row seat to track the northward migration of plant blooming during the Northern Hemisphere springtime, as well as the shut down in fall—even before changing leaf colors indicate a seasonal shift is amiss. Watch the visualization for a tour of plant fluorescence around the world. || ",
            "hits": 63
        },
        {
            "id": 40098,
            "url": "https://svs.gsfc.nasa.gov/gallery/landsat/",
            "result_type": "Gallery",
            "release_date": "2012-02-23T00:00:00-05:00",
            "title": "Landsat",
            "description": "Since 1972, Landsat satellites have consistently gathered data about our planet for the benefit of the U.S. and the world. The Landsat data archive is the longest continuous remotely sensed global record of Earth’s surface, with all the data free and available to the public.  The Landsat satellite missions, jointly managed by NASA and the U.S. Geological Survey, are a central pillar of our national remote sensing capability and established the U.S. as a leader in land imaging.\n\nLandsat 9 is the next satellite in the program, and will add more than 700 scenes a day to this invaluable archive. As Earth’s population approaches 8 billion, Landsat 9 will extend our ability to detect and characterize land surface changes, and will do so at a scale where researchers can differentiate between natural and human-induced change. \r\n \r\nLand cover and land use are changing globally at rates unprecedented in human history. These changes bring profound consequences for weather, ecosystems, resource management, the economy, carbon storage and emissions, human health, and other aspects of society. Landsat datasets are a critical tool in monitoring and managing essential resources in a changing world.\r\n\nBelow are highlights of Landsat videos and graphics. Follow this link to see the entire collection of Landsat multimedia.\n",
            "hits": 287
        },
        {
            "id": 40026,
            "url": "https://svs.gsfc.nasa.gov/gallery/nasaand-agriculture-old/",
            "result_type": "Gallery",
            "release_date": "2010-03-03T00:00:00-05:00",
            "title": "NASA and Agriculture",
            "description": "NASA's fleet of satellites has been watching over Earth for more than half a century, collecting valuable data about the crops that make up our food supply and the water it takes to grow them. This wealth of information allows scientists to monitor farmland – tracking the overall food supply, where specific crops are grown, and how much water it takes to grow them with data from the Landsat satellites and others.",
            "hits": 24
        },
        {
            "id": 10516,
            "url": "https://svs.gsfc.nasa.gov/10516/",
            "result_type": "Produced Video",
            "release_date": "2009-11-03T00:00:00-05:00",
            "title": "Science for a Hungry World: Agriculture and Climate Change",
            "description": "How will climate change impact agriculture? This episode explores the need for accurate, continuous and accessible data and computer models to track and predict the challenges farmers face as they adjust to a changing climate.For complete transcript, click here. || Thumbnail_1280x720.jpg (1280x720) [776.8 KB] || Thumbnail_80x40.jpg (80x40) [2.6 KB] || Thumbnail_160x80.jpg (160x80) [7.9 KB] || Thumbnail_320x180.jpg (320x180) [91.4 KB] || Ag_Ep6_Climate_AppleTV.webmhd.webm (960x540) [70.8 MB] || Ag_Ep6_Climate_AppleTV.m4v (960x540) [188.6 MB] || Ag_Ep6_Climate_1280x720.mp4 (1280x720) [285.4 MB] || Ag_Ep6_Climate_640x360.m4v (640x360) [54.7 MB] || Ag_Ep6_Climate_640x480.mp4 (640x480) [112.9 MB] || Ag_Ep6_Climate_320x180.mp4 (320x180) [23.4 MB] || Ag_Ep6_Climate.wmv (320x176) [34.9 MB] || Ag_Ep6_Climate_H264.mov (1280x720) [2.7 GB] || Ag_Ep6_Climate_FullRes.mov (1280x720) [5.1 GB] || bigmovie-agriculture_part6_video.hwshow || ",
            "hits": 113
        },
        {
            "id": 3651,
            "url": "https://svs.gsfc.nasa.gov/3651/",
            "result_type": "Visualization",
            "release_date": "2009-10-07T12:00:00-04:00",
            "title": "World Droughts From 2005 to 2009 Versus Where Crops are Grown",
            "description": "The Global Inventory Monitoring and Modeling Studies (GIMMS) group at NASA Goddard Space Flight Center (NASA/GSFC) provides United States Department of Agriculture/Foreign Agricultural Service (USDA/FAS) with global data stream of NDVI that spans over two decades (1981-present). The GIMMS NDVI is derived from measurements made by the Advanced Very High Resolution Radiometer (AVHRR), Global Area Coverage (GAC) data from the National Atmospheric Oceanic Administration (NOAA) polar orbiting series of satellites. GIMMS has inter-calibrated the data from the NOAA-AVHRR satellite series and performed atmospheric correction to minimize the effects of volcanic aerosols to produce and maintain a consistent NDVI archive. The NDVI archive from GIMMS provides the historic database for monitoring the response of vegetation to climatic conditions.Linking the MODIS data to the long-term GIMMS AVHRR/NDVI, archive and SPOT Vegetation sensor data is a critical component of this project providing a consistent multi-source long-term data record for agricultural monitoring. This allows FAS analysts to compare current data with the spatial extent and severity of NDVI anomalies associated with heat stress, droughts and floods associated with crop failures. || ",
            "hits": 18
        },
        {
            "id": 3629,
            "url": "https://svs.gsfc.nasa.gov/3629/",
            "result_type": "Visualization",
            "release_date": "2009-10-05T12:00:00-04:00",
            "title": "Crop Intensity",
            "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events.To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it is important to understand the spatial distribution of croplands. To do this a global croplands mask to identify all sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands vary from year to year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop cover. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will have higher confidence values in the crop mask as compared to less intensively farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. || ",
            "hits": 56
        },
        {
            "id": 3646,
            "url": "https://svs.gsfc.nasa.gov/3646/",
            "result_type": "Visualization",
            "release_date": "2009-10-05T12:00:00-04:00",
            "title": "2009 Crop Intensity, 2009 Producers, and 2050 Projected Population",
            "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events.To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it is important to understand the spatial distribution of croplands. To do this a global croplands mask to identify all sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands vary from year to year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop cover. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will have higher confidence values in the crop mask as compared to less intensively farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. || ",
            "hits": 16
        },
        {
            "id": 3601,
            "url": "https://svs.gsfc.nasa.gov/3601/",
            "result_type": "Visualization",
            "release_date": "2009-06-27T12:00:00-04:00",
            "title": "Global Agricultural Monitoring",
            "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. || ",
            "hits": 31
        },
        {
            "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": 15
        },
        {
            "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. || ",
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            "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. || ",
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            "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. || ",
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            "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. || ",
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            "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. || ",
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        {
            "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. || ",
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}