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        {
            "id": 12225,
            "url": "https://svs.gsfc.nasa.gov/12225/",
            "result_type": "Produced Video",
            "release_date": "2016-06-02T09:50:00-04:00",
            "title": "Details of Arctic Greening in North America",
            "description": "NASA scientists used almost 30 years of data from the NASA/USGS Landsat satellites to track changes in vegetation in Alaska and Canada.  Of the more than 4 million square miles, 30% had increases in vegetation (greening) while only 3% had decreases (browning). This is the first study to produce a continent-scale map while still providing detailed information at the human scale.Music: \"Alaska,\" by Janik Riegert [GEMA], Josh Tapen [GEMA]Watch this video on the NASA Goddard YouTube channel. || 12225_Arctic_greening_MASTER_large.00140_print.jpg (1024x576) [212.8 KB] || 12225_Arctic_greening_MASTER_large.00140_searchweb.png (320x180) [111.9 KB] || 12225_Arctic_greening_MASTER_large.00140_thm.png (80x40) [6.8 KB] || 12225_Arctic_greening_MASTER_youtube_hq.mov (1920x1080) [781.8 MB] || 12225_Arctic_greening_MASTER_large.mp4 (1920x1080) [109.6 MB] || 12225_Arctic_greening_MASTER_appletv.m4v (1280x720) [53.8 MB] || 12225_Arctic_greening_MASTER.mpeg (1280x720) [368.4 MB] || 12225_Arctic_greening_MASTER_prores.mov (1280x720) [1.5 GB] || 12225_Arctic_greening_MASTER.webm (960x540) [43.9 MB] || 12225_Arctic_greening_MASTER_appletv_subtitles.m4v (1280x720) [53.8 MB] || 12225_Arctic_greening-captions.en_US.srt [105 bytes] || 12225_Arctic_greening-captions.en_US.vtt [118 bytes] || 12225_Arctic_greening_MASTER_ipod_sm.mp4 (320x240) [19.2 MB] || ",
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        },
        {
            "id": 30191,
            "url": "https://svs.gsfc.nasa.gov/30191/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-17T12:00:00-04:00",
            "title": "Australian Dust over the Pacific Ocean",
            "description": "Strong westerly winds roaring across Australia’s desert interior were able to suspend dust particles for hundreds of miles before reaching the South Pacific Ocean. This image, taken by NASA’s Terra satellite on September 12, 2009, reveals the wedge of dust as it parts from the continent. Nearly weightless in nature, the wispy layer of dust is visible by its tan hue floating above the underlying stratus cloud deck. The dust is thought to have originated from the dry Lake Eyre basin, covering nearly one sixth of the continent. The lake fills during exceptionally wet rainy seasons (December-February) but remains dry during other months. As water evaporates from the lake, it leaves a fine layer of sediment that is easily lifted by wind. Sediment from dry lakebeds is a significant source of airborne dust worldwide. || ",
            "hits": 68
        },
        {
            "id": 30053,
            "url": "https://svs.gsfc.nasa.gov/30053/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-06-25T13:00:00-04:00",
            "title": "Dead Sea Salt Farming",
            "description": "The Dead Sea is so named because its high salinity discourages the growth of fish, plants, and other wildlife. It is the lowest surface feature on Earth, sitting roughly 1,300 feet below sea level. On a hot, dry summer day, the water level can drop as much as one inch because of evaporation. These three false-color images were captured in 1972, 1989, and 2011 by Landsat satellites. Deep waters are blue or dark blue, while brighter blues indicate shallow waters or salt ponds. Green indicates sparsely vegetated lands. Denser vegetation appears bright red. The ancient Egyptians used salts from the Dead Sea for mummification, fertilizers, and potash (a potassium-based salt). In the modern age, sodium chloride and potassium salts culled from the sea are used for water conditioning, road de-icing, and the manufacturing of polyvinyl chloride (PVC) plastics. The expansions of massive salt evaporation projects are clearly visible over the span of 39 years. || ",
            "hits": 150
        },
        {
            "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": 973
        },
        {
            "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": 33
        },
        {
            "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. || ",
            "hits": 42
        },
        {
            "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": 55
        },
        {
            "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": 35
        },
        {
            "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": 92
        },
        {
            "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": 41
        },
        {
            "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": 34
        }
    ]
}