{
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    "results": [
        {
            "id": 4032,
            "url": "https://svs.gsfc.nasa.gov/4032/",
            "result_type": "Visualization",
            "release_date": "2013-01-14T00:00:00-05:00",
            "title": "Urban Sprawl in Beijing, China (Hyperwall version)",
            "description": "Beijing is one of the oldest, and now, one of the most crowded cities in the world. Established as a city in 1045 BC, King Wu was the first to declare it as a capital in 1057 BC. Having served as the capital of the Liao, Jin, Yuan, Ming and Qing Dynasties, Beijing is now the capital of the People's Republic of China. In these Landsat images, the explosive growth of this ancient city is clearly visible. In 1972, only about 7.89 million people lived there — but by 2010 the population swelled to more than 12 million. This increase in the city's size corresponds to the opening of China to the Western world in the 1970s. Up until 1979, the government restricted housing in the city, limiting it to the confines of the \"Outer City.\" Previously a walled fortress, its outline is still visible today due to the build up of canals and roads along the path of the original wall. Inside this rectangular boundary is the ancient heart of the capital, the moat-lined Forbidden City. Called forbidden because anyone entering needed royal permission, this is where the Imperial Palace still stands, once home to 500 years of Chinese emperors. It was Kublai Khan who established the Forbidden City in 1260 A.D. He called it Khanbaliq but Italian explorer Marco Polo called it Cambuluc. It still stands as Beijing's city center. In 1421 the Chinese took the city back and gave it its current name of Beijing. Today, Beijing is only limited by the rugged Taihang Mountains that run to the west and northwest of the city, pushing the population to spread to the south and east across the relatively flat coastal plain. || ",
            "hits": 43
        },
        {
            "id": 3791,
            "url": "https://svs.gsfc.nasa.gov/3791/",
            "result_type": "Visualization",
            "release_date": "2012-07-23T00:00:00-04:00",
            "title": "Urban Sprawl in Beijing, China",
            "description": "Beijing is one of the oldest, and now, one of the most crowded cities in the world. Established as a city in 1045 BC, King Wu was the first to declare it as a capital in 1057 BC. Having served as the capital of the Liao, Jin, Yuan, Ming and Qing Dynasties, Beijing is now the capital of the People's Republic of China. In these Landsat images, the explosive growth of this ancient city is clearly visible. In 1972, only about 7.89 million people lived there — but by 2010 the population swelled to more than 12 million. This increase in the city's size corresponds to the opening of China to the Western world in the 1970s. Up until 1979, the government restricted housing in the city, limiting it to the confines of the \"Outer City.\" Previously a walled fortress, its outline is still visible today due to the build up of canals and roads along the path of the original wall. Inside this rectangular boundary is the ancient heart of the capital, the moat-lined Forbidden City. Called forbidden because anyone entering needed royal permission, this is where the Imperial Palace still stands, once home to 500 years of Chinese emperors. It was Kublai Khan who established the Forbidden City in 1260 A.D. He called it Khanbaliq but Italian explorer Marco Polo called it Cambuluc. It still stands as Beijing's city center. In 1421 the Chinese took the city back and gave it its current name of Beijing. Today, Beijing is only limited by the rugged Taihang Mountains that run to the west and northwest of the city, pushing the population to spread to the south and east across the relatively flat coastal plain. || ",
            "hits": 136
        },
        {
            "id": 10574,
            "url": "https://svs.gsfc.nasa.gov/10574/",
            "result_type": "Produced Video",
            "release_date": "2010-02-22T00:00:00-05:00",
            "title": "Piecing Together the Temperature Puzzle",
            "description": "The decade from 2000 to 2009 was the warmest in the modern record. \"Piecing Together the Temperature Puzzle\" illustrates how NASA satellites enable us to study possible causes of climate change. The video explains what role fluctuations in the solar cycle, changes in snow and cloud cover, and rising levels of heat-trapping gases may play in contributing to climate change. For complete transcript, click here. || Temperature_Puzzle_fullres.01252_print.jpg (1024x576) [113.2 KB] || Temperature_Puzzle_fullres_web.png (320x180) [207.8 KB] || Temperature_Puzzle_fullres_thm.png (80x40) [16.9 KB] || Temperature_Puzzle_AppleTV.webmhd.webm (960x540) [83.9 MB] || Temperature_Puzzle_fullres.mov (1280x720) [166.2 MB] || Temperature_Puzzle_AppleTV.m4v (960x720) [211.4 MB] || Temperature_Puzzle__Youtube.mov (1280x720) [87.7 MB] || Temperature_Puzzle_iPod_small.m4v (640x360) [67.9 MB] || Temperature_Puzzle_iPod_large.m4v (320x180) [27.9 MB] || Temperature_Puzzle_svs.mpg (512x288) [136.6 MB] || Temperature_Puzzle_portal.wmv (346x260) [38.8 MB] || ",
            "hits": 82
        },
        {
            "id": 10513,
            "url": "https://svs.gsfc.nasa.gov/10513/",
            "result_type": "Produced Video",
            "release_date": "2009-12-11T00:00:00-05:00",
            "title": "A Landsat Flyby",
            "description": "The Landsat program is the longest continuous global record of the Earth's surface, and continues to deliver both visually stunning and scientifically valuable images of our planet. This short video highlights Landsat's many benefits to society. || ",
            "hits": 40
        },
        {
            "id": 3073,
            "url": "https://svs.gsfc.nasa.gov/3073/",
            "result_type": "Visualization",
            "release_date": "2004-12-12T12:00:00-05:00",
            "title": "NO2 Concentration Over the United States: September 24 - November 7, 2004",
            "description": "Nitrogen dioxide, NO2, is a traffic-related pollutant. Emissions are generally highest in urban rather than rural areas. Annual mean concentrations of nitrogen dioxide in urban areas are generally in the range 10-45 ppb, and lower in rural areas. Levels vary significantly throughout the day, with peaks generally occurring twice daily as a consequence of rush hour traffic. Concentrations can be as high as 200 ppb. Particulate matter is very fine and can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung disease. Further, the problem is not necessarily concentrated in the inner cities. Because many major road / motorway interchange complexes are situated in semi-rural areas, under conditions of near-stationary traffic, a rapid build-up of engine exhaust pollution can occur, which if the low-level atmospheric conditions are correct, will not be dispersed. || ",
            "hits": 94
        },
        {
            "id": 3074,
            "url": "https://svs.gsfc.nasa.gov/3074/",
            "result_type": "Visualization",
            "release_date": "2004-12-12T12:00:00-05:00",
            "title": "Nitrogen Dioxide Concentration Over China: September 24 - November 7, 2004",
            "description": "Nitrogen dioxide, NO2, is a traffic-related pollutant. Emissions are generally highest in urban rather than rural areas. Annual mean concentrations of nitrogen dioxide in urban areas are generally in the range 10-45 ppb, and lower in rural areas. Levels vary significantly throughout the day, with peaks generally occurring twice daily as a consequence of rush hour traffic. Concentrations can be as high as 200 ppb. Particulate matter is very fine and can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung disease. Further, the problem is not necessarily concentrated in the inner cities. Because many major road / motorway interchange complexes are situated in semi-rural areas, under conditions of near-stationary traffic, a rapid build-up of engine exhaust pollution can occur, which if the low-level atmospheric conditions are correct, will not be dispersed. || ",
            "hits": 10
        },
        {
            "id": 20011,
            "url": "https://svs.gsfc.nasa.gov/20011/",
            "result_type": "Animation",
            "release_date": "2003-12-09T12:00:00-05:00",
            "title": "Pollution Reduces Winter Precipitation",
            "description": "In winter, moist air flows off the ocean and rises over the hills downwind of  a coastal city, dropping its rain and snow mainly as it ascends the hills.  As pollution from the city is pushed into the clouds by the hills downwind of the city, it interferes with droplet formation in the clouds as observed by NASA's satellites.  The smaller cloud droplets convert more slowly into precipitation.  Instead of precipitating, much of the water in the clouds evaporates, reducing the net rainfall downwind of the urban area by up to 15% to 25% on a seasonal basis.  First is the unpolluted case. || ",
            "hits": 60
        },
        {
            "id": 20012,
            "url": "https://svs.gsfc.nasa.gov/20012/",
            "result_type": "Animation",
            "release_date": "2003-12-09T12:00:00-05:00",
            "title": "Pollution Increases Summer Precipitation",
            "description": "In summer, weaker winds move the clouds more slowly.  Heat absorbed by the city and pollution's interference with raindrop formation interact to cause the clouds to intensify before producing precipitation.  The onset of rainfall from a cloud leads eventually to its demise by cooling off the air near the ground.  the air pollution delays the onset of precipitation, so that the intense storm clouds can build higher and larger before they start precipitating and subsequently dissipating.  Therefore, these larger and more intense thunderstorm clouds produce eventually heavier rainfall on the city and the downwind areas.  First is the unpolluted, then the polluted case. || ",
            "hits": 35
        },
        {
            "id": 20013,
            "url": "https://svs.gsfc.nasa.gov/20013/",
            "result_type": "Animation",
            "release_date": "2003-12-09T12:00:00-05:00",
            "title": "Urban Rainfall Effect on Coastal Cities",
            "description": "Cities tend to  be 1-10 degrees Fahrenheit warmer than surrounding areas.  The added heat destabilizes and changes air circulation around cities.  During the warmer months, the added heat creates wind circulations and rising air that produces new clouds enhances existing ones. Under the right conditions, these clouds evolve into rain-producers or storms.  Scientists suspect that converging air due to city surfaces of varying heights, like buildings, also promotes rising air needed to produce clouds and rainfall. || ",
            "hits": 40
        },
        {
            "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": 14
        },
        {
            "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": 13
        },
        {
            "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": 10
        },
        {
            "id": 2280,
            "url": "https://svs.gsfc.nasa.gov/2280/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Europe",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.  These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard on NASA's Terra satellite.  The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data.  Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week.  Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands.  Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps.  The data product is available at http://edcdaac.nasa.gov. || ",
            "hits": 16
        },
        {
            "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": 47
        },
        {
            "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": 45
        },
        {
            "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": 21
        },
        {
            "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": 66
        },
        {
            "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": 51
        },
        {
            "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": 42
        },
        {
            "id": 1035,
            "url": "https://svs.gsfc.nasa.gov/1035/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Full Shot of DC Area",
            "description": "Showing the urban growth of Washginton, D.C. by dissolving between data collected in 1973, 1980, 1985, 1990, and 1996. || a001035.00005_print.png (720x480) [730.9 KB] || a001035_thm.png (80x40) [7.2 KB] || a001035_pre.jpg (320x242) [20.3 KB] || a001035_pre_searchweb.jpg (320x180) [96.3 KB] || a001035.webmhd.webm (960x540) [3.5 MB] || a001035.dv (720x480) [45.5 MB] || a001035.mp4 (640x480) [2.5 MB] || a001035.mpg (352x240) [2.0 MB] || ",
            "hits": 12
        },
        {
            "id": 1036,
            "url": "https://svs.gsfc.nasa.gov/1036/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Zoom Down to Manassas and Woodbridge, VA",
            "description": "Starting with a view of the Washington, D.C., metropolitan area, the D.C. border and the Beltway fade in.  The view then shifts to Manassas and Woodbridge, Virginia, indicating urban growth with red dots.  Data sets for 1973, 1980, 1985, 1990, and 1996 are presented chronologically. || a001036.00005_print.png (720x480) [729.5 KB] || a001036_thm.png (80x40) [7.2 KB] || a001036_pre.jpg (320x242) [19.9 KB] || a001036_pre_searchweb.jpg (320x180) [97.9 KB] || a001036.webmhd.webm (960x540) [6.6 MB] || a001036.dv (720x480) [85.7 MB] || a001036.mp4 (640x480) [4.4 MB] || a001036.mpg (352x240) [3.0 MB] || ",
            "hits": 10
        },
        {
            "id": 1037,
            "url": "https://svs.gsfc.nasa.gov/1037/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: Reston and Sterling, VA",
            "description": "Starting with a view of the Washington, D.C., metropolitan area, the D.C. border and the Beltway fade in.  The view then shifts to Reston and Sterling, Virginia, indicating urban growth with red dots.  Data sets for 1973, 1980, 1985, 1990, and 1996 are presented chronologically. || a001037.00005_print.png (720x480) [728.0 KB] || a001037_thm.png (80x40) [7.2 KB] || a001037_pre.jpg (320x242) [19.8 KB] || a001037_pre_searchweb.jpg (320x180) [96.7 KB] || a001037.webmhd.webm (960x540) [6.6 MB] || a001037.dv (720x480) [84.8 MB] || a001037.mp4 (640x480) [4.5 MB] || a001037.mpg (352x240) [3.3 MB] || ",
            "hits": 12
        },
        {
            "id": 1038,
            "url": "https://svs.gsfc.nasa.gov/1038/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "DC Zoom down to Mount Airy, MD",
            "description": "Starting with a view of the Washington, D.C., metropolitan area, the D.C. border and the Beltway fade in.  The view then shifts to Mount Airy, Maryland, indicating urban growth with red dots.  Data sets for 1973, 1980, 1985, 1990, and 1996 are presented chronologically. || a001038.00005_print.png (720x480) [731.5 KB] || a001038_thm.png (80x40) [7.2 KB] || a001038_pre.jpg (320x242) [19.9 KB] || a001038_pre_searchweb.jpg (320x180) [96.9 KB] || a001038.webmhd.webm (960x540) [6.0 MB] || a001038.dv (720x480) [74.6 MB] || a001038.mp4 (640x480) [4.0 MB] || a001038.mpg (352x240) [2.9 MB] || ",
            "hits": 12
        },
        {
            "id": 1039,
            "url": "https://svs.gsfc.nasa.gov/1039/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: Columbia and Laurel, MD",
            "description": "Starting with a view of the Washington, D.C., metropolitan area, the D.C. border and the Beltway fade in. The view then shifts to Columbia and Laurel, Maryland, indicating urban growth with red dots. Data sets for 1973, 1980, 1985, 1990, and 1996 are presented chronologically. || a001039.00005_print.png (720x480) [734.8 KB] || a001039_thm.png (80x40) [7.1 KB] || a001039_pre.jpg (320x242) [19.9 KB] || a001039_pre_searchweb.jpg (320x180) [97.1 KB] || a001039.webmhd.webm (960x540) [6.1 MB] || a001039.dv (720x480) [77.7 MB] || a001039.mp4 (640x480) [4.1 MB] || a001039.mpg (352x240) [3.1 MB] || ",
            "hits": 10
        },
        {
            "id": 1040,
            "url": "https://svs.gsfc.nasa.gov/1040/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: Bowie, MD",
            "description": "Starting with a view of the Washington, D.C., metropolitan area, the D.C. border and the Beltway fade in. The view then shifts to Bowie, Maryland, indicating urban growth with red dots. Data sets for 1973, 1980, 1985, 1990, and 1996 are presented chronologically. || a001040.00005_print.png (720x480) [738.8 KB] || a001040_thm.png (80x40) [7.2 KB] || a001040_pre.jpg (320x242) [20.1 KB] || a001040_pre_searchweb.jpg (320x180) [97.6 KB] || a001040.webmhd.webm (960x540) [5.9 MB] || a001040.dv (720x480) [77.6 MB] || a001040.mp4 (640x480) [4.0 MB] || a001040.mpg (352x240) [3.0 MB] || ",
            "hits": 24
        },
        {
            "id": 1041,
            "url": "https://svs.gsfc.nasa.gov/1041/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: Waldorf, MD",
            "description": "Starting with a view of the Washington, D.C., metropolitan area, the D.C. border and the Beltway fade in. The view then shifts to Waldorf, Maryland, indicating urban growth with red dots. Data sets for 1973, 1980, 1985, 1990, and 1996 are presented chronologically. || a001041.00005_print.png (720x480) [728.9 KB] || a001041_thm.png (80x40) [7.2 KB] || a001041_pre.jpg (320x242) [19.9 KB] || a001041_pre_searchweb.jpg (320x180) [97.5 KB] || a001041.webmhd.webm (960x540) [5.9 MB] || a001041.dv (720x480) [75.3 MB] || a001041.mp4 (640x480) [3.8 MB] || a001041.mpg (352x240) [3.1 MB] || ",
            "hits": 7
        },
        {
            "id": 1042,
            "url": "https://svs.gsfc.nasa.gov/1042/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: Washington, District of Columbia",
            "description": "Starting with a view of the Washington, D.C., metropolitan area, the D.C. border and the Beltway fade in. The view then pushes in, indicating urban growth with red dots. Data sets for 1973, 1980, 1985, 1990, and 1996 are presented chronologically. || a001042.00005_print.png (720x480) [732.3 KB] || a001042_thm.png (80x40) [7.2 KB] || a001042_pre.jpg (320x242) [20.0 KB] || a001042_pre_searchweb.jpg (320x180) [97.2 KB] || a001042.webmhd.webm (960x540) [5.9 MB] || a001042.dv (720x480) [77.0 MB] || a001042.mp4 (640x480) [4.0 MB] || a001042.mpg (352x240) [3.0 MB] || ",
            "hits": 34
        },
        {
            "id": 1043,
            "url": "https://svs.gsfc.nasa.gov/1043/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: Portland, Oregon",
            "description": "Using the Landsat satellite, scientists are able to study the urban sprawl of major cities. Red dots in these images indicate areas of growth between 1986 and 1996. || ",
            "hits": 14
        },
        {
            "id": 1044,
            "url": "https://svs.gsfc.nasa.gov/1044/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: Focusing on the Columbia River Region of Portland, Oregon",
            "description": "Using the Landsat satellite, scientists are able to study the urban sprawl of major cities. Red dots in these images indicate areas of growth between 1986 and 1996. || ",
            "hits": 8
        },
        {
            "id": 1046,
            "url": "https://svs.gsfc.nasa.gov/1046/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: The Beaverton Area of Portland, Oregon",
            "description": "Using the Landsat satellite, scientists are able to study the urban sprawl of major cities. Red dots in these images indicate areas of growth between 1986 and 1996. || ",
            "hits": 12
        },
        {
            "id": 1047,
            "url": "https://svs.gsfc.nasa.gov/1047/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: The Happy Valley and Sunnyside Areas of Portland, Oregon",
            "description": "Using the Landsat satellite, scientists are able to study the urban sprawl of major cities. Red dots in these images indicate areas of growth between 1986 and 1996. || ",
            "hits": 9
        },
        {
            "id": 1048,
            "url": "https://svs.gsfc.nasa.gov/1048/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Urban Growth: The Oregon City Area of Portland, Oregon",
            "description": "Using the Landsat satellite, scientists are able to study the urban sprawl of major cities. Red dots in these images indicate areas of growth between 1986 and 1996. || ",
            "hits": 12
        },
        {
            "id": 1049,
            "url": "https://svs.gsfc.nasa.gov/1049/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "3D Atlanta Heat Island",
            "description": "Zoom in showing true color, then changing to daytime thermal, then nighttime thermal, using mountain top, Landsat, ATLAS thermal, land use, and clouds/convection data || ",
            "hits": 18
        },
        {
            "id": 1051,
            "url": "https://svs.gsfc.nasa.gov/1051/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Zoom and Spin Around Atlanta: True Color",
            "description": "A flyby of Atlanta showing visible imagery taken by an airborne ATLAS instrument on May 11 and 12, 1997.  This imagery is surrounded by Landsat Thematic Mapper data taken on June 27, 1998. || a001051.00005_print.png (720x480) [633.1 KB] || a001051_thm.png (80x40) [5.6 KB] || a001051_pre.jpg (320x238) [10.2 KB] || a001051_pre_searchweb.jpg (320x180) [76.9 KB] || a001051.webmhd.webm (960x540) [10.9 MB] || a001051.dv (720x480) [155.3 MB] || a001051.mp4 (640x480) [8.5 MB] || a001051.mpg (352x240) [5.6 MB] || ",
            "hits": 15
        },
        {
            "id": 1052,
            "url": "https://svs.gsfc.nasa.gov/1052/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Zoom and Spin Around Atlanta: Daytime Thermal View of the Heat Island",
            "description": "A flyby of Atlanta showing thermal imagery taken during the day by an airborne ATLAS instrument on May 11 and 12, 1997.  This imagery is surrounded by Landsat Thematic Mapper data taken on June 27, 1998. || a001052.00005_print.png (720x480) [642.7 KB] || a001052_thm.png (80x40) [5.7 KB] || a001052_pre.jpg (320x238) [10.2 KB] || a001052_pre_searchweb.jpg (320x180) [77.9 KB] || a001052.webmhd.webm (960x540) [10.8 MB] || a001052.dv (720x480) [147.5 MB] || a001052.mp4 (640x480) [8.0 MB] || a001052.mpg (352x240) [5.8 MB] || ",
            "hits": 29
        },
        {
            "id": 1053,
            "url": "https://svs.gsfc.nasa.gov/1053/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Zoom and Spin Around Atlanta: Nighttime Thermal View of the Heat Island",
            "description": "A flyby of Atlanta showing thermal imagery taken during the night by an airborne ATLAS instrument on May 11 and 12, 1997.  This imagery is surrounded by Landsat Thematic Mapper data taken on June 27, 1998. || a001053.00005_print.png (720x480) [648.4 KB] || a001053_thm.png (80x40) [5.7 KB] || a001053_pre.jpg (320x238) [10.1 KB] || a001053_pre_searchweb.jpg (320x180) [77.5 KB] || a001053.webmhd.webm (960x540) [10.8 MB] || a001053.dv (720x480) [147.5 MB] || a001053.mp4 (640x480) [8.0 MB] || a001053.mpg (352x240) [5.8 MB] || ",
            "hits": 52
        },
        {
            "id": 1055,
            "url": "https://svs.gsfc.nasa.gov/1055/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Atlanta Land Use",
            "description": "Classification map of Atlanta Land use for the years 1973, 1979, 1983, 1987, 1992, 1997. || A timelapse of land use in the Atlanta region from 1973 to 1997 from Landsat data || a001055.00005_print_print.jpg (1024x682) [179.4 KB] || a001055.00005_print.png (720x480) [765.3 KB] || a001055_pre.jpg (320x240) [29.1 KB] || a001055.webmhd.webm (960x540) [6.1 MB] || a001055.dv (720x480) [82.2 MB] || a001055.mp4 (640x480) [4.3 MB] || a001055.mpg (352x240) [3.2 MB] || ",
            "hits": 10
        },
        {
            "id": 1057,
            "url": "https://svs.gsfc.nasa.gov/1057/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - True Color 1988 to 1996 (With Dates)",
            "description": "Zoom into Shenzhen, China.  True color (3,2,1) Landsat inset with dates.  Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001057.00005_print.png (720x480) [710.4 KB] || a001057_pre.jpg (320x240) [28.3 KB] || a001057.webmhd.webm (960x540) [7.7 MB] || a001057.dv (720x480) [102.8 MB] || a001057.mp4 (640x480) [5.5 MB] || a001057.mpg (352x240) [3.9 MB] || ",
            "hits": 10
        },
        {
            "id": 1058,
            "url": "https://svs.gsfc.nasa.gov/1058/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - True Color Fade 1988 to 1996",
            "description": "Zoom into Shenzhen, China. True color (3,2,1) Landsat inset with dates. Years 1988, 1996. || a001058.00005_print.png (720x480) [708.1 KB] || a001058_pre.jpg (320x240) [28.2 KB] || a001058.webmhd.webm (960x540) [4.6 MB] || a001058.dv (720x480) [65.0 MB] || a001058.mp4 (640x480) [3.4 MB] || a001058.mpg (352x240) [2.6 MB] || ",
            "hits": 20
        },
        {
            "id": 1059,
            "url": "https://svs.gsfc.nasa.gov/1059/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - True Color Fade 1988 to 1996 (With Dates)",
            "description": "Zoom into Shenzhen, China. True color (3,2,1) Landsat inset with dates. Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001059.00005_print.png (720x480) [709.4 KB] || a001059_pre.jpg (320x240) [28.3 KB] || a001059.webmhd.webm (960x540) [5.1 MB] || a001059.dv (720x480) [68.4 MB] || a001059.mp4 (640x480) [3.6 MB] || a001059.mpg (352x240) [2.5 MB] || ",
            "hits": 21
        },
        {
            "id": 1060,
            "url": "https://svs.gsfc.nasa.gov/1060/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - False Color 1988 to 1996",
            "description": "Zoom into Shenzhen, China. False color Landsat (4,3,2) inset. Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001060.00005_print.png (720x480) [714.6 KB] || a001060_pre.jpg (320x240) [34.7 KB] || a001060.webmhd.webm (960x540) [7.4 MB] || a001060.dv (720x480) [102.7 MB] || a001060.mp4 (640x480) [5.5 MB] || a001060.mpg (352x240) [3.4 MB] || ",
            "hits": 16
        },
        {
            "id": 1061,
            "url": "https://svs.gsfc.nasa.gov/1061/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - False Color 1988 to 1996 (With Dates)",
            "description": "Zoom into Shenzhen, China. False color Landsat (4,3,2) inset with dates. Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001061.00005_print.png (720x480) [719.9 KB] || a001061_pre.jpg (320x240) [34.7 KB] || a001061.webmhd.webm (960x540) [7.0 MB] || a001061.dv (720x480) [99.6 MB] || a001061.mp4 (640x480) [5.3 MB] || a001061.mpg (352x240) [3.8 MB] || ",
            "hits": 17
        },
        {
            "id": 1062,
            "url": "https://svs.gsfc.nasa.gov/1062/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use- False Color Fade 1988 to 1996",
            "description": "Zoom into Shenzhen, China. False color Landsat (4,3,2) inset. Years 1988, 1996. || a001062.00005_print.png (720x480) [719.9 KB] || a001062_pre.jpg (320x240) [34.7 KB] || a001062.webmhd.webm (960x540) [5.0 MB] || a001062.dv (720x480) [68.4 MB] || a001062.mp4 (640x480) [3.7 MB] || a001062.mpg (352x240) [2.5 MB] || ",
            "hits": 6
        },
        {
            "id": 1063,
            "url": "https://svs.gsfc.nasa.gov/1063/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - False Color Fade 1988 to 1996 (With Dates)",
            "description": "Zoom into Shenzhen, China. False color Landsat (4,3,2) inset with dates. Years 1988, 1996. || a001063.00005_print.png (720x480) [719.9 KB] || a001063_pre.jpg (320x240) [34.7 KB] || a001063.webmhd.webm (960x540) [5.0 MB] || a001063.dv (720x480) [68.6 MB] || a001063.mp4 (640x480) [3.7 MB] || a001063.mpg (352x240) [2.4 MB] || ",
            "hits": 6
        },
        {
            "id": 1320,
            "url": "https://svs.gsfc.nasa.gov/1320/",
            "result_type": "Visualization",
            "release_date": "1996-08-10T12:00:00-04:00",
            "title": "HoloGlobe: Earth at Night",
            "description": "This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. || ",
            "hits": 54
        },
        {
            "id": 1600,
            "url": "https://svs.gsfc.nasa.gov/1600/",
            "result_type": "Visualization",
            "release_date": "1990-07-10T12:00:00-04:00",
            "title": "Supporting Media for Urban Dynamics",
            "description": "Marc Imhoff, project scientist from GSFC, gave this to the SVS to distribute in support of a AAAS conference talk on urban dynamics. || Lights at night over Europe as seen from space. || lights_europe.gif (1024x768) [380.1 KB] || lights_europe_med.jpg (512x384) [45.2 KB] || ",
            "hits": 17
        }
    ]
}