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            "id": 5544,
            "url": "https://svs.gsfc.nasa.gov/5544/",
            "result_type": "Visualization",
            "release_date": "2025-09-22T18:59:59-04:00",
            "title": "Near Real-Time Normalized Difference Vegetation Index (NDVI)",
            "description": "NRT NDVI",
            "hits": 93
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        {
            "id": 5474,
            "url": "https://svs.gsfc.nasa.gov/5474/",
            "result_type": "Visualization",
            "release_date": "2025-01-20T00:00:00-05:00",
            "title": "Science On a Sphere: 4 Years of Biosphere",
            "description": "Biosphere data processed for display on Science On a Sphere (SOS)",
            "hits": 67
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        {
            "id": 5075,
            "url": "https://svs.gsfc.nasa.gov/5075/",
            "result_type": "Visualization",
            "release_date": "2023-02-13T00:00:00-05:00",
            "title": "Near Real-Time Global Biosphere",
            "description": "The latest 2.5 years of Biosphere data with date annotations. || nrtbio_print.jpg (1024x512) [205.4 KB] || nrtbio_searchweb.png (320x160) [88.7 KB] || nrtbio_thm.png (80x40) [7.2 KB] || Plate_Carree_with_Dates (4096x2048) [0 Item(s)] || nrtbio_annot_plate_2048p30.mp4 (4096x2048) [113.2 MB] || slide-01.hwshow ||",
            "hits": 0
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        {
            "id": 5006,
            "url": "https://svs.gsfc.nasa.gov/5006/",
            "result_type": "Visualization",
            "release_date": "2022-11-06T00:00:00-04:00",
            "title": "Global Biosphere March 2017 - Feb 2022",
            "description": "Example composite of 5 years of Mollweide projected data of Earth's biosphere beginning March 2017 through February 2022. || newbio_v34_mollweide_comp1130_print.jpg (1024x512) [186.1 KB] || newbio_v34_mollweide_comp1130_searchweb.png (180x320) [94.2 KB] || newbio_v34_mollweide_comp1130_thm.png (80x40) [7.4 KB] || Example_Composite (2000x1000) [0 Item(s)] || newbio_v34_mollweide_comp_1000p30.mp4 (2000x1000) [40.4 MB] || newbio_v34_mollweide_comp_1000p30.webm (2000x1000) [4.5 MB] || ",
            "hits": 89
        },
        {
            "id": 4813,
            "url": "https://svs.gsfc.nasa.gov/4813/",
            "result_type": "Visualization",
            "release_date": "2020-04-21T00:00:00-04:00",
            "title": "Earth Day 2020: Biosphere",
            "description": "Global Biosphere data from 1997 through 2017 with corresponding colorbars and date stamp.This video is also available on our YouTube channel. || earthday_bio_comp.0000_print.jpg (1024x576) [95.0 KB] || earthday_bio_comp.0000_searchweb.png (320x180) [51.5 KB] || earthday_bio_comp.0000_thm.png (80x40) [5.0 KB] || earthday_biosphere_composite (1920x1080) [0 Item(s)] || earthday_bio_comp_1080p30.webm (1920x1080) [17.9 MB] || earthday_bio_comp_1080p30.mp4 (1920x1080) [106.0 MB] || captions_silent.29351.en_US.srt [43 bytes] || earthday_bio_comp_1080p30.mp4.hwshow [191 bytes] || ",
            "hits": 67
        },
        {
            "id": 40365,
            "url": "https://svs.gsfc.nasa.gov/gallery/earth-science-oct2018-briefing/",
            "result_type": "Gallery",
            "release_date": "2018-10-18T00:00:00-04:00",
            "title": "Earth Science Overview Oct 2018 Briefing",
            "description": "No description available.",
            "hits": 88
        },
        {
            "id": 40348,
            "url": "https://svs.gsfc.nasa.gov/gallery/esddatafor-societal-benefits/",
            "result_type": "Gallery",
            "release_date": "2018-04-24T00:00:00-04:00",
            "title": "ESD data for Societal Benefit",
            "description": "No description available.",
            "hits": 171
        },
        {
            "id": 4597,
            "url": "https://svs.gsfc.nasa.gov/4597/",
            "result_type": "Visualization",
            "release_date": "2017-11-16T15:00:00-05:00",
            "title": "Earth: Our Living Planet (Updated)",
            "description": "Twenty years of global biosphere data mapped on a slowly spinning globe. || slow_spin_4k.5542_print.jpg (1024x576) [83.1 KB] || slow_spin_4k.5542_searchweb.png (320x180) [48.3 KB] || slow_spin_4k.5542_thm.png (80x40) [4.4 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || slow_spin_1080p30.webm (1920x1080) [17.8 MB] || slow_spin_1080p30.mp4 (1920x1080) [119.2 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || slow_spin_4k.mp4 (3840x2160) [397.0 MB] || ",
            "hits": 73
        },
        {
            "id": 4596,
            "url": "https://svs.gsfc.nasa.gov/4596/",
            "result_type": "Visualization",
            "release_date": "2017-11-14T17:00:00-05:00",
            "title": "20 Years of Global Biosphere (updated)",
            "description": "This Mollweide projected data visualization shows 20 years of Earth's biosphere starting in September 1997 going through September 2017. Data for this visualization was collected from multiple satellites over the past twenty years. || biosphere7_mollweide.4507_print.jpg (576x1024) [192.2 KB] || biosphere7_mollweide.4507_searchweb.png (180x320) [91.0 KB] || biosphere7_mollweide.4507_thm.png (80x40) [7.4 KB] || mollweide_annotated (1920x1080) [0 Item(s)] || biosphere7_mollweide_1080p30.webm (1920x1080) [17.8 MB] || biosphere7_mollweide_1080p30.mp4 (1920x1080) [264.8 MB] || biosphere7_mollweide_1080p30.mp4.hwshow || ",
            "hits": 161
        },
        {
            "id": 30888,
            "url": "https://svs.gsfc.nasa.gov/30888/",
            "result_type": "Hyperwall Visual",
            "release_date": "2017-08-01T15:00:00-04:00",
            "title": "A Human-Driven Decline in Global Burned Area",
            "description": "Global Burned Area annual change, plus overall trend || time_series_fraction_hw_1080p.00001_print.jpg (1024x576) [205.5 KB] || time_series_fraction_hw_1080p.00001_searchweb.png (320x180) [102.4 KB] || time_series_fraction_hw_1080p.00001_thm.png (80x40) [7.3 KB] || time_series_fraction_hw_1080p.mp4 (1920x1080) [8.0 MB] || time_series_fraction_hw_720p.mp4 (1280x720) [4.0 MB] || time_series_fraction_hw_1080p.webm (1920x1080) [2.2 MB] || time_series_fraction_hw_2304p.mp4 (4096x2304) [26.3 MB] || hw (4104x2304) [128.0 KB] || ",
            "hits": 217
        },
        {
            "id": 11919,
            "url": "https://svs.gsfc.nasa.gov/11919/",
            "result_type": "Produced Video",
            "release_date": "2015-10-06T11:00:00-04:00",
            "title": "The Changing Shape Of Farming",
            "description": "Satellite images taken over the last half-century tell the story of America's evolving agricultural landscape. || c-1920.jpg (1920x1080) [1.4 MB] || c-1280.jpg (1280x720) [863.3 KB] || c-1024.jpg (1024x576) [615.4 KB] || c-1024_print.jpg (1024x576) [642.1 KB] || c-1024_searchweb.png (320x180) [187.4 KB] || c-1024_web.png (320x180) [187.4 KB] || c-1024_thm.png (80x40) [38.6 KB] || ",
            "hits": 46
        },
        {
            "id": 11974,
            "url": "https://svs.gsfc.nasa.gov/11974/",
            "result_type": "Produced Video",
            "release_date": "2015-08-17T19:00:00-04:00",
            "title": "Mining for Water in Kansas",
            "description": "This image from 2015, and the accompanying images from 1972, 1988, and 2011 show the transformation of Kansas farmland from dryland, rectangular fields to circular irrigated fields from center-pivot irrigation systems. The mining of ground water for agriculture has been a significant trend globally over the last half-century, and these images of a region in Kansas highlight the trend within the United States. || Garden_city_KS-2015_print.jpg (1024x975) [580.9 KB] || Garden_city_KS-2015_searchweb.png (320x180) [147.7 KB] || Garden_city_KS-2015_thm.png (80x40) [9.3 KB] || Garden_city_KS-2015.tif (3920x3736) [41.9 MB] || ",
            "hits": 42
        },
        {
            "id": 40415,
            "url": "https://svs.gsfc.nasa.gov/gallery/whats-newwith-earth-today/",
            "result_type": "Gallery",
            "release_date": "2015-01-04T00:00:00-05:00",
            "title": "What's New with Earth Today",
            "description": "Explore the latest visualizations of NASA's Earth Observing satellites and the data they collect.  NASA researchers are constantly tracking remote-sensing data and modeling processes to better understand our home planet.",
            "hits": 148
        },
        {
            "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": 58
        },
        {
            "id": 11029,
            "url": "https://svs.gsfc.nasa.gov/11029/",
            "result_type": "Produced Video",
            "release_date": "2012-07-23T00:00:00-04:00",
            "title": "Yellowstone Burn Recovery",
            "description": "A combination of lightning, drought and human activity caused fires to scorch more than one-third of Yellowstone National Park in the summer of 1988. Within a year, burn scars cast a sharp outline on the 793,880 acres affected by fire, distinguishing wide sections of recovering forest, meadows, grasslands and wetlands from unburned areas of the park. After more than two decades, satellite instruments can still detect these scars from space.In the time-lapse video below, a series of false-color images collected by USGS-NASA Landsat satellites from 1987 to 2018 show the burning and gradual regeneration of Yellowstone's forests following the 1988 fire season. Watch as burn scars (dark red) quickly replace large expanses of healthy green vegetation (dark green) by 1989. Notice how the scars slowly fade over time as new vegetation begins to grow and heal the landscape.Landsat Project Scientist Jeff Masek has been studying the recovery of the forest after the 1988 Yellowstone fires.  In the video below, he talks about how Landsat satellites detect the burn scars from space and distinguish them from healthy, un-burned forest and from new growth. || ",
            "hits": 202
        },
        {
            "id": 10973,
            "url": "https://svs.gsfc.nasa.gov/10973/",
            "result_type": "Produced Video",
            "release_date": "2012-05-15T00:00:00-04:00",
            "title": "Crop Circles",
            "description": "In the fields of the dry Texas panhandle, near the town of Dalhart, the traditional patchwork of working farms has been replaced by polka dots. This geometric transformation was sparked by a farming method called center-pivot irrigation, which pumps water through an extended sprinkler system that rotates like the hand of a clock, necessitating circular fields. Farmers around Dalhart have gradually adopted center-pivot irrigation since its introduction in 1949; it is ideal for the region's rolling, sandy terrain and delivers water with minimal loss to evaporation. The false-color, time-lapse images below show the square-to-circle revolution, as captured by four USGS-NASA Landsat satellites from 1972 to 2011. Red areas show healthy crops, while plots ranging in color from white to green represent bare soils and sparsely vegetated grasslands. || ",
            "hits": 3027
        },
        {
            "id": 10967,
            "url": "https://svs.gsfc.nasa.gov/10967/",
            "result_type": "Produced Video",
            "release_date": "2012-04-30T00:00:00-04:00",
            "title": "Dalhart, Texas 1972-2011",
            "description": "A water-rich polka dot pattern takes over the traditional rectangular patchwork of fields in this 40 year sequence of Landsat images showing the dry Texas panhandle near the town of Dalhart.  In this series, vegetation appears red and the bare soil of fallow fields or sparsely vegetated grasslands appear white to green.  The blue-gray X near the center of the images marks the town of Dalhart. || ",
            "hits": 23
        },
        {
            "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": 360
        },
        {
            "id": 10864,
            "url": "https://svs.gsfc.nasa.gov/10864/",
            "result_type": "Produced Video",
            "release_date": "2011-11-17T00:00:00-05:00",
            "title": "Yellowstone's Burn Scars",
            "description": "A combination of lightning, drought and human activity caused fires to scorch more than one-third of Yellowstone National Park in the summer of 1988. Within a year, burn scars cast a sharp outline on the 793,880 acres affected by fire, distinguishing wide sections of recovering forest, meadows, grasslands and wetlands from unburned areas of the park. After more than two decades, satellite instruments can still detect these scars from space. In the time-lapse video below, a collection of false-color images collected by USGS-NASA Landsat satellites from 1987 to 2011 show the burning and gradual regeneration of Yellowstone following the 1988 fire season. Watch as burn scars (dark red) quickly replace large expanses of healthy green vegetation (dark green) by 1989. Notice how the scars slowly fade over time as new vegetation begins to grow and heal the landscape. || ",
            "hits": 62
        },
        {
            "id": 10832,
            "url": "https://svs.gsfc.nasa.gov/10832/",
            "result_type": "Produced Video",
            "release_date": "2011-11-03T00:00:00-04:00",
            "title": "The Fire Continent",
            "description": "More fires burn in Africa each year than any other place on Earth. Collectively, these fires account for 70 percent of the total area burned by fire around the world. Humans set the majority of fires in Africa, burning land for farming and pastoral grazing. The practice is widespread and accepted by Africa's fire management community. Fire clears excess vegetation, creates new areas for cultivation and returns nutrients to the soils. Lightning fires, though not entirely uncommon, contribute much less to the total burning across the African landscape. At the beginning of the wet season, dry vegetation can readily ignite when struck by lightning. Such spontaneous ignitions can lead to wildfires that burn for days. The visualization below shows nearly a decade of fire observations throughout Africa collected by NASA satellites from July 2002 through July 2011. Watch how as the seasons shift from wet to dry, waves of fire sweep across the continent from the semi-arid grasslands and savannas just below the Sahara Desert in the north, to the equatorial forests in central Africa and lush landscapes of the south. || ",
            "hits": 79
        },
        {
            "id": 3872,
            "url": "https://svs.gsfc.nasa.gov/3872/",
            "result_type": "Visualization",
            "release_date": "2011-10-18T19:00:00-04:00",
            "title": "South American Fire Observations and MODIS NDVI",
            "description": "From space, we can understand fires in ways that are impossible from the ground. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems.  This visualization of South America shows fire observations made by MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites . South America exhibits a steady flickering of fire  across much of the Amazon rainforest with peaks of activity in September and November. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ",
            "hits": 54
        },
        {
            "id": 2914,
            "url": "https://svs.gsfc.nasa.gov/2914/",
            "result_type": "Visualization",
            "release_date": "2004-06-17T12:00:00-04:00",
            "title": "Global Biosphere from August, 1997 to July, 2003 (WMS)",
            "description": "By monitoring the color of reflected light via satellite, scientists can determine how successfully plant life is photosynthesizing. A measurement of photosynthesis is essentially a measurement of successful growth, and growth means successful use of ambient carbon. This animation represents the first six years' worth of data taken by the SeaWiFS instrument, showing the abundance of life both on land and in the sea. In the ocean, dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. On land, green represents areas of abundant plant life, such as forests and grasslands, while tan and white represent areas where plant life is sparse or non-existent, such as the deserts in Africa and the Middle East and snow-cover and ice at the poles. || ",
            "hits": 41
        },
        {
            "id": 20026,
            "url": "https://svs.gsfc.nasa.gov/20026/",
            "result_type": "Animation",
            "release_date": "2004-02-09T12:00:00-05:00",
            "title": "Dust, Fire, Soot Inhibits Rainfall",
            "description": "Three Contributing Factors for Rainfall Inhibition - Dust is only one of three types of aerosols which can inhibit rainfall. Previous studies have shown that aerosols from biomass burning (i.e. burning of plant material such as forests, grasslands, and agricultural waste) and aerosols from man-made pollution also contribute to disturbing the rainfall process.   This animation highlights the power of these three factors vs. the normal conditions of the rainfallprocess.  In this virtual world, a dust storm rises from arid conditions.  Biomass burning sends smoke and an industrial complex adds pollutants into clouds and the atmosphere, thus preventing any rainfall. The cloud on the left shows rainfall production in normal conditions. || ",
            "hits": 26
        },
        {
            "id": 2737,
            "url": "https://svs.gsfc.nasa.gov/2737/",
            "result_type": "Visualization",
            "release_date": "2002-09-12T12:00:00-04:00",
            "title": "Chesapeake Bay Watershed Tour",
            "description": "A tour up the Chesapeake Bay watershed || cbay.0360.jpg (1280x720) [127.4 KB] || hd002737_720p_pre.jpg (320x240) [8.2 KB] || a002737_pre.jpg (320x240) [8.2 KB] || 1280x720_16x9_30 (1280x720) [256.0 KB] || hd002737_720p.mpg (1280x720) [195.5 MB] || hd002737_720p.webmhd.webm (960x540) [21.9 MB] || a002737.mpg (320x240) [12.4 MB] || ",
            "hits": 21
        },
        {
            "id": 2465,
            "url": "https://svs.gsfc.nasa.gov/2465/",
            "result_type": "Visualization",
            "release_date": "2002-06-18T12:00:00-04:00",
            "title": "Urban Modifications of Rainfall, Texas",
            "description": "Using the world's first space-based rain radar aboard NASA's Tropical Rainfall Measuring Mission (TRMM) satellite, NASA scientists found that mean monthly rainfall rates within 30-60 kilometers (18 to 36 miles) downwind of some cities were, on average, about 28 percent greater than the upwind region. In some cities, the downwind area exhibited increases as high as 51 percent. || ",
            "hits": 13
        },
        {
            "id": 2466,
            "url": "https://svs.gsfc.nasa.gov/2466/",
            "result_type": "Visualization",
            "release_date": "2002-06-18T12:00:00-04:00",
            "title": "Urban Modifications of Rainfall, Alabama and Georgia",
            "description": "Using the world's first space-based rain radar aboard NASA's Tropical Rainfall Measuring Mission (TRMM) satellite, NASA scientists found that mean monthly rainfall rates within 30-60 kilometers (18 to 36 miles) downwind of some cities were, on average, about 28 percent greater than the upwind region. In some cities, the downwind area exhibited increases as high as 51 percent. || ",
            "hits": 16
        },
        {
            "id": 2467,
            "url": "https://svs.gsfc.nasa.gov/2467/",
            "result_type": "Visualization",
            "release_date": "2002-06-18T12:00:00-04:00",
            "title": "Urban Modifications of Rainfall, Georgia",
            "description": "Using the world's first space-based rain radar aboard NASA's Tropical Rainfall Measuring Mission (TRMM) satellite, NASA scientists found that mean monthly rainfall rates within 30-60 kilometers (18 to 36 miles) downwind of some cities were, on average, about 28 percent greater than the upwind region. In some cities, the downwind area exhibited increases as high as 51 percent. || ",
            "hits": 12
        },
        {
            "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": 24
        },
        {
            "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": 45
        },
        {
            "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": 42
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        {
            "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": 2285,
            "url": "https://svs.gsfc.nasa.gov/2285/",
            "result_type": "Visualization",
            "release_date": "2001-11-15T12:00:00-05:00",
            "title": "Grasslands of the World",
            "description": "Rotating globe showing global grassland coverage.  Data obtained from Terra/MODIS land cover isolating grasslands, woody savannas, savannas, and wetlands (all seen in green).  This data represents 4 parts of a 17 part global classification product all of which have been taken at 1km. resolution. || ",
            "hits": 42
        },
        {
            "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": 96
        },
        {
            "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": 50
        },
        {
            "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": 30
        }
    ]
}