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    "next": null,
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    "results": [
        {
            "id": 31195,
            "url": "https://svs.gsfc.nasa.gov/31195/",
            "result_type": "Hyperwall Visual",
            "release_date": "2024-04-16T00:00:00-04:00",
            "title": "50+ years of Landsat: Las Vegas",
            "description": "The city of Las Vegas—meaning the meadows—was established in 1905. In the 1930s, gambling became legalized and construction of the Hoover Dam began, resulting in the city's first growth spurt. Since then, Las Vegas has not stopped growing. Population has reached nearly two million over the past decade, becoming one of the fastest growing metropolitan areas in the world. These false-color images show the rapid urbanization of Las Vegas between 1972 and 2024.",
            "hits": 170
        },
        {
            "id": 31196,
            "url": "https://svs.gsfc.nasa.gov/31196/",
            "result_type": "Hyperwall Visual",
            "release_date": "2022-10-20T00:00:00-04:00",
            "title": "50 years of Landsat: Denver",
            "description": "Since 1972, Landsat satellites have observed our planet’s forests, deserts, cities, farms, and badlands. The Mile High City rose up on the hopes of gold miners, who founded the city in 1858 after the discovery of gold in the waters at the confluence of the South Platte River and Cherry Creek. Denver, Colorado, quickly became a hub for the mining towns to the west and the agricultural interests on the plains to the east. Unhindered by any major body of water or topographic feature to the north, south, or east, the city has expanded in all directions. These red-NIR-green combination false color images show the city of Denver between 1972 or 1972 and 2022, using sensors aboard Landsat satellites that have been collecting data in different ranges of frequencies along the electromagnetic spectrum for nearly 50 years. || ",
            "hits": 55
        },
        {
            "id": 4826,
            "url": "https://svs.gsfc.nasa.gov/4826/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Brazil and Novo Progresso Land Use Data Over Time",
            "description": "This animation begins by showing the similar sizes between the country of Brazil and the United States. It then cycles through over three decades of classification data for the entire Northern half of Brazil. We then zoom down to the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this region changed over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_progressov_finalcomp.2009_print.jpg (1024x576) [287.1 KB] || novo_progressov_finalcomp.2009_searchweb.png (180x320) [105.7 KB] || novo_progressov_finalcomp.2009_thm.png (80x40) [7.3 KB] || novo_progressov_finalcomp_1080p30.mp4 (1920x1080) [48.9 MB] || example_composite (1920x1080) [0 Item(s)] || novo_progressov_finalcomp_1080p30.webm (1920x1080) [7.9 MB] || novo_progressov_finalcomp_1080p30.mp4.hwshow [199 bytes] || ",
            "hits": 69
        },
        {
            "id": 4827,
            "url": "https://svs.gsfc.nasa.gov/4827/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Novo Progresso Surrounding Region Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this area opened up over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_wide_finalcomp.2009_print.jpg (1024x576) [387.4 KB] || novo_wide_finalcomp.1116_print.jpg (1024x576) [221.0 KB] || novo_wide_finalcomp_1080p30_2.mp4 (1920x1080) [30.2 MB] || novo_wide_finalcomp_1080p30_2.webm (1920x1080) [3.7 MB] || Example_Composite (1920x1080) [0 Item(s)] || novo_wide_finalcomp_1080p30_2.mp4.hwshow [195 bytes] || ",
            "hits": 64
        },
        {
            "id": 4828,
            "url": "https://svs.gsfc.nasa.gov/4828/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Colider Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Colider and compares its relative size to Northern California. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || colider_finalcomp.2009_print.jpg (1024x576) [548.1 KB] || colider_finalcomp.2009_searchweb.png (320x180) [144.4 KB] || colider_finalcomp.2009_thm.png (80x40) [8.4 KB] || colider_finalcomp_1080p30.mp4 (1920x1080) [40.2 MB] || colider_finalcomp_1080p30.webm (1920x1080) [4.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || colider_finalcomp_1080p30.mp4.hwshow [191 bytes] || ",
            "hits": 41
        },
        {
            "id": 4829,
            "url": "https://svs.gsfc.nasa.gov/4829/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Ji-Paraná Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Ji Parana and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ji_parana_finalcomp.2009_print.jpg (1024x576) [412.8 KB] || ji_parana_finalcomp.2009_searchweb.png (320x180) [133.8 KB] || ji_parana_finalcomp.2009_thm.png (80x40) [8.2 KB] || ji_parana_finalcomp_1080p30.mp4 (1920x1080) [34.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || ji_parana_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || ji_parana_finalcomp_1080p30.mp4.hwshow [193 bytes] || ",
            "hits": 38
        },
        {
            "id": 4830,
            "url": "https://svs.gsfc.nasa.gov/4830/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Rio Branco Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Rio Branco and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || rio_branco_finalcomp.2009_print.jpg (1024x576) [331.8 KB] || rio_branco_finalcomp.2009_searchweb.png (320x180) [108.8 KB] || rio_branco_finalcomp.2009_thm.png (80x40) [7.4 KB] || rio_branco_finalcomp_1080p30.mp4 (1920x1080) [24.0 MB] || rio_branco_finalcomp_1080p30.webm (1920x1080) [3.4 MB] || Example_Composite (1920x1080) [0 Item(s)] || rio_branco_finalcomp_1080p30.mp4.hwshow [194 bytes] || ",
            "hits": 47
        },
        {
            "id": 4831,
            "url": "https://svs.gsfc.nasa.gov/4831/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Uatumã Biological Reserve Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the Uatumã Biological Reserve and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation to show the lake formation over time as well as the increased pasture and croplands to the west of the lake. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || dam_finalcomp.2009_print.jpg (1024x576) [216.7 KB] || dam_finalcomp.2009_searchweb.png (320x180) [80.9 KB] || dam_finalcomp.2009_thm.png (80x40) [5.9 KB] || dam_finalcomp_1080p30.mp4 (1920x1080) [22.1 MB] || Example_Composite (1920x1080) [0 Item(s)] || dam_finalcomp_1080p30.webm (1920x1080) [3.3 MB] || dam_finalcomp_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 47
        },
        {
            "id": 4832,
            "url": "https://svs.gsfc.nasa.gov/4832/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Itaituba and Uruara Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region between Itaituba and Uruara and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ruropolis_finalcomp.2009_print.jpg (1024x576) [345.6 KB] || ruropolis_finalcomp.2009_searchweb.png (320x180) [116.9 KB] || ruropolis_finalcomp.2009_thm.png (80x40) [7.6 KB] || ruropolis_finalcomp_1080p30.mp4 (1920x1080) [29.5 MB] || Sample_Composite (1920x1080) [0 Item(s)] || ruropolis_finalcomp_1080p30.webm (1920x1080) [3.5 MB] || ruropolis_finalcomp_1080p30.mp4.hwshow [193 bytes] || ",
            "hits": 37
        },
        {
            "id": 4833,
            "url": "https://svs.gsfc.nasa.gov/4833/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Northern Brazil Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. While zooming in a little closer an image of the United States fades in to get the relative size of the region. Next we cycle through over three decades of transformation in the region showing land use change over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || brazil_wide_finalcomp.2009_print.jpg (1024x576) [451.8 KB] || brazil_wide_finalcomp.2009_searchweb.png (320x180) [128.6 KB] || brazil_wide_finalcomp.2009_thm.png (80x40) [8.1 KB] || brazil_wide_finalcomp_1080p30.mp4 (1920x1080) [31.3 MB] || Sample_Composite (1920x1080) [0 Item(s)] || brazil_wide_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || brazil_wide_finalcomp_1080p30.mp4.hwshow [195 bytes] || ",
            "hits": 99
        },
        {
            "id": 4900,
            "url": "https://svs.gsfc.nasa.gov/4900/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T00:00:00-04:00",
            "title": "Novo Progresso Deforestation Soccer Field Comparison",
            "description": "Animation begins with a stylized bright green soccer field. Soccer fields then fall into place over a recently deforested field showing the estimated size of the newly cleared field. The camera then pulls back to reveal all the recently deforested areas (shown in bright green) around Novo Progresso from 2017 to 2018. || soccer_comp.0700_print.jpg (1024x576) [161.5 KB] || soccer_comp.0700_searchweb.png (320x180) [85.8 KB] || soccer_comp.0700_thm.png (80x40) [14.1 KB] || soccer_2017_2018_1080p30.mp4 (1920x1080) [28.6 MB] || 2017_to_2018 (1920x1080) [0 Item(s)] || soccer_2017_2018_1080p30.webm (1920x1080) [5.7 MB] || soccer_2017_2018_1080p30.mp4.hwshow [190 bytes] || ",
            "hits": 60
        },
        {
            "id": 30215,
            "url": "https://svs.gsfc.nasa.gov/30215/",
            "result_type": "Hyperwall Visual",
            "release_date": "2019-03-15T18:00:00-04:00",
            "title": "Urban Growth in Las Vegas",
            "description": "The city of Las Vegas—meaning the meadows—was established in 1905. Its grassy meadows and artesian springs attracted settlers traveling across the arid Desert Southwest in the early 1800s. In the 1930s, gambling became legalized and construction of the Hoover Dam began, resulting in the city's first growth spurt. Since then, Las Vegas has not stopped growing. Population has reached nearly two million over the past decade, becoming one of the fastest growing metropolitan areas in the world. These false-color images show the rapid urbanization of Las Vegas between 1972 and 2018. The city streets and other impervious surfaces appear gray, while irrigated vegetation appears red. Over the years, the expansion of irrigated vegetation (e.g., lawns and golf courses) has stretched the city’s desert bounds. || ",
            "hits": 456
        },
        {
            "id": 30874,
            "url": "https://svs.gsfc.nasa.gov/30874/",
            "result_type": "Hyperwall Visual",
            "release_date": "2017-03-24T00:00:00-04:00",
            "title": "Sprawling Shanghai",
            "description": "Shanghai sprawl over time, 1984-2022 || shanghai_2022_00865_print.jpg (1024x576) [263.9 KB] || shanghai_2022_00865_searchweb.png (320x180) [123.1 KB] || shanghai_2022_00865_thm.png (80x40) [7.5 KB] || shanghai_2022_1080p30.mp4 (1920x1080) [37.5 MB] || shanghai_2022_1080p30.webm (1920x1080) [4.1 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || shanghai_2022_2160p30.mp4 (3840x2160) [135.9 MB] ||",
            "hits": 114
        },
        {
            "id": 40302,
            "url": "https://svs.gsfc.nasa.gov/gallery/svsyoutube-candidates/",
            "result_type": "Gallery",
            "release_date": "2016-06-03T00:00:00-04:00",
            "title": "SVS YouTube Candidates",
            "description": "These are the proposed visualization candidates to be included in the SVS YouTube Channel.",
            "hits": 229
        },
        {
            "id": 11506,
            "url": "https://svs.gsfc.nasa.gov/11506/",
            "result_type": "Produced Video",
            "release_date": "2014-03-20T00:00:00-04:00",
            "title": "Tracking Urban Change With Landsat",
            "description": "For helping communities across the United States stay up-to-date on their flood risk, the NASA/USGS Landsat satellites can take a bow. The Federal Emergency Management Agency uses Landsat images, which can illustrate urban changes, as a key indicator of sites where the agency should further investigate the flooding potential. With its archive of images capturing sprawling cities and new developments, Landsat can help FEMA track how building and construction is impacting an area’s landscapeEarth-observing Landsat satellites have been capturing images of the planet’s surface since 1972. Landsat 8 is the newest satellite in the program, a joint effort between NASA and the U.S. Geological Survey. It launched Feb. 11, 2013, and collects more than 400 images per day. New and archived Landsat data are available free to the public over the internet – and researchers have put the data to a multitude of uses. One is called the National Urban Change Indicator, or NUCI, created by MacDonald, Dettwiler, and Associates, LTD. It’s the results from a process that mines Landsat images over a 27-year period to identify areas of “permanent change,” where soil has been paved over for parking lots or other concrete structures.NUCI results act as a red flag for FEMA, helping the agency focus its mapping efforts and budget. But if maps identify a high risk of floods for a certain community, residents can take action, including elevating houses, building flood barricades, and more. || ",
            "hits": 67
        },
        {
            "id": 4062,
            "url": "https://svs.gsfc.nasa.gov/4062/",
            "result_type": "Visualization",
            "release_date": "2013-06-30T00:00:00-04:00",
            "title": "Georgia Urban Sprawl",
            "description": "One of the many ways to keep FEMA maps up to date is by tracking urban change using satellite imagery. Take this suburb of Atlanta, Georgia as an example. By mining Landsat images spanning a 27 year period, it's possible to identify areas where the land surface has permanently changed and affect the areas ability to absorb water.The river to the Northwest is the Chattahoochee River. The \"Y\"-shaped roads are Interstate 85 (upper branch) and Route 316 (lower branch). As the years go by, one can see the Mall of Georgia being built in the upper middle part of the screen, immediately north of Interstate 85. Surrounding neighborhoods sprout up throughout this whole area as we move through time. This animation was created for use in a NASA video on water run-off changes related to urban sprawl titled \"FEMA Risk Map\". || ",
            "hits": 94
        },
        {
            "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": 50
        },
        {
            "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": 110
        },
        {
            "id": 11041,
            "url": "https://svs.gsfc.nasa.gov/11041/",
            "result_type": "Produced Video",
            "release_date": "2012-07-23T00:00:00-04:00",
            "title": "Phoenix, AZ",
            "description": "Arizona's capital of Phoenix and its neighboring towns in Maricopa County have undergone a major population boom in the last 40 years, and its effects are seen in everything from the expansion of town and cities and to an increased demand for fresh water. || ",
            "hits": 84
        },
        {
            "id": 11049,
            "url": "https://svs.gsfc.nasa.gov/11049/",
            "result_type": "Produced Video",
            "release_date": "2012-07-18T00:00:00-04:00",
            "title": "Landsat 40th Liveshot Roll-in Video",
            "description": "On Friday, July 20th, in advance of Landsat's 40th birthday and a live NASA press conference on Monday the 23rd, NASA scientists are available to discuss amazing & unprecedented images from space of your region. Cities grow, wildfires rage, rivers flood out of their beds and droughts shrink lakes and reservoirs — all captured by Landsat, the world's longest continuous record of Earth from space. Since 1972, Landsat satellites have been orbiting Earth, telling the story of soil moisture, urban spread, land use, assist disasters & recovery. Next year, the 8th Landsat satellite (LDCM) will be launched from California. The Landsat Data Continuity Mission (LDCM) will track food production and water resources, organize disaster recovery and monitor the impact of climate change.The following is broadcast quality video roll-ins in Apple ProRes 422, 1280x720, 59.94 fps. || ",
            "hits": 30
        },
        {
            "id": 11050,
            "url": "https://svs.gsfc.nasa.gov/11050/",
            "result_type": "Produced Video",
            "release_date": "2012-07-18T00:00:00-04:00",
            "title": "Landsat 40th Liveshot City Images",
            "description": "The following are U.S. cities imaged by Landsat over its 40 year span. Multiple years of selected cities are grouped together with specific years in parentheses. || Atlanta, Georgia || Atlanta_crop_321_1920x1080.jpg (1920x1080) [3.8 MB] || Atlanta_crop_321_1920x1080_web.png (320x180) [347.9 KB] || landsat_us_city_image.hwshow [65 bytes] || ",
            "hits": 84
        },
        {
            "id": 3960,
            "url": "https://svs.gsfc.nasa.gov/3960/",
            "result_type": "Visualization",
            "release_date": "2012-06-15T00:00:00-04:00",
            "title": "Saving the Maringa Lopori Wanga Wildlife Corridor",
            "description": "Maringa Lopori Wanga (MLW) is a region in the northern part of the Democratic Republic of the Congo (DRC) immediately south of the Congo River. Within its borders are two major reserves: The Lomako-Yokokala Faunal Reserve and the Luo Scientific Reserve. Wildlife travels between these two reserves via a natural wildlife corridor. However, a main road bisects this wildlife corridor between the two reserves, along which numerous villages have been established over time. If the corridor is to remain open, villagers living along the route need to control sprawl. This is where scientists have joined in to help, by providing detailed satellite imagery of the area, allowing the people of the MLW region to more accurately zone their land for agricultural expansion. By providing accurate satellite zoning maps, the villages can still thrive and the wildlife corridor can remain open, which benefits both the people and the wildlife of this region of the DRC.Part of NASA's Landsat program mission is to provide tools to assist with global growth and urbanization planning.  NASA's Land-Cover and Land-Use Change Program (LCLUC) uses Landsat data to develop socially relevant interdisciplinary science that can be applied to natural resource management questions, starting with agricultural land use change.  More information on the varied use of Landsat data can be found at  http://landsat.gsfc.nasa.gov/about/appl_matrix.html A fully narrated reporter package of this story, incorporating this element, can be seen  here. || ",
            "hits": 17
        },
        {
            "id": 10721,
            "url": "https://svs.gsfc.nasa.gov/10721/",
            "result_type": "Produced Video",
            "release_date": "2012-03-05T17:00:00-05:00",
            "title": "Las Vegas, 1972-2021",
            "description": "Timelapse animation of Lake Mead and the city of Las Vegas, Nevada, from 1972-2021, as captured by Landsat sensors. The images are false-color, showing healthy vegetation in red. || Las_Vegas-wide-2021_print.jpg (1024x576) [226.8 KB] || Las_Vegas-wide-2021_searchweb.png (320x180) [119.1 KB] || Las_Vegas-wide-2021_thm.png (80x40) [7.7 KB] || Las_Vegas_1972-2021-tw.mp4 (1920x1080) [64.7 MB] || Las_Vegas-wide-2021.tif (1920x1080) [7.9 MB] || Las_Vegas_1972-2021-tw.webm (1920x1080) [8.0 MB] || Las_Vegas_1972-2021-yt.mp4 (1920x1080) [129.5 MB] || Las_Vegas_1972-2021.mov (1920x1080) [2.3 GB] || ",
            "hits": 457
        },
        {
            "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": 417
        },
        {
            "id": 10715,
            "url": "https://svs.gsfc.nasa.gov/10715/",
            "result_type": "Produced Video",
            "release_date": "2011-08-18T00:00:00-04:00",
            "title": "Tapped Dry In Vegas",
            "description": "The constant influx of residents to Las Vegas since the 1970s has made it one of the fastest-growing metropolitan areas in the world. Currently more than 2 million people live in the 600-square-mile desert region, centered around the world-famous Las Vegas Strip and its luxury resorts and casinos. No doubt, the steady commercial and residential development over the last 40 years has been a boon to the valley's economy, but dense urbanization has exacted a high price on its most vital natural resource: water. Abundant parks, golf courses and manicured landscapes in Las Vegas' arid climate require more water to maintain than they naturally receive. This has placed an unsustainable demand on the region's primary water supply—Lake Mead—where water levels have fallen in the past decade due to persistent drought experienced across the Southwest. Scientists predict drought frequency and intensity for the region will only increase as global temperatures rise. In the collection of false-color, time-lapse images below captured by USGS-NASA Landsat satellites, witness Las Vegas' explosive growth from 1972 to 2010. || ",
            "hits": 65
        },
        {
            "id": 10381,
            "url": "https://svs.gsfc.nasa.gov/10381/",
            "result_type": "Produced Video",
            "release_date": "2009-02-27T00:00:00-05:00",
            "title": "25 Years of Landsat 5: 1984 Las Vegas Urban Expansion",
            "description": "This mosaic of images shows the dramatic growth of the Las Vegas urban area during the 25 years that Landsat 5 has been collecting data. || Las_Vegas_1984_2009_1600_1200.jpg (1600x1200) [912.2 KB] || Las_Vegas_1984_2009_560_420.jpg (560x420) [341.7 KB] || Las_Vegas_1984_2009_1600_1200_web.png (320x240) [354.0 KB] || Las_Vegas_1984_2009_1600_1200_thm.png (80x40) [32.0 KB] || Las_Vegas_1984_2009_1600_1200_searchweb.png (320x180) [144.5 KB] || Las_Vegas_1984_2009_1600_1200.tif (1600x1200) [5.5 MB] || ",
            "hits": 51
        },
        {
            "id": 2911,
            "url": "https://svs.gsfc.nasa.gov/2911/",
            "result_type": "Visualization",
            "release_date": "2004-02-13T12:00:00-05:00",
            "title": "Urbanization around the Pearl River Estuary in China from 1973 through 2001 (WMS)",
            "description": "The region around the Pearl River Estuary in southern China experienced rapid urban growth in the 1980s and 1990s. This growth was spurred by the establishment of special government economic zones, particularly in Shenzhen, just to the east of the estuary. Urban areas increased by more than 300% between 1988 and 1996. This growth can be directly assessed by remote sensing measurements from space, particularly by comparing images from the Landsat sensors for the last thirty years. This animation shows nine such images in sequence, from the years 1973, 1975, 1977, 1979, 1988, 1992, 1995, 2000, and 2001. || ",
            "hits": 33
        },
        {
            "id": 2761,
            "url": "https://svs.gsfc.nasa.gov/2761/",
            "result_type": "Visualization",
            "release_date": "2003-06-23T12:00:00-04:00",
            "title": "Landsat-7 20 Year Urbanization of Deep Bay near Shenzhen, China",
            "description": "The long operational history of the Landsat satellite allows a detailed study of urban growth around the world, as illustrated by this animation of urbanization around Shenzen, China. || ",
            "hits": 30
        },
        {
            "id": 2762,
            "url": "https://svs.gsfc.nasa.gov/2762/",
            "result_type": "Visualization",
            "release_date": "2003-06-23T12:00:00-04:00",
            "title": "Landsat 7 20 Year Urbanization West of Shenzhen, China",
            "description": "The long operational history of the Landsat satellite allows a detailed study of urban growth around the world, as illustrated by this animation of urbanization around Shenzen, China. || ",
            "hits": 42
        },
        {
            "id": 2763,
            "url": "https://svs.gsfc.nasa.gov/2763/",
            "result_type": "Visualization",
            "release_date": "2003-06-23T12:00:00-04:00",
            "title": "Landsat-7 20-Year Urbanization of Shenzhen, China",
            "description": "The long operational history of the Landsat satellite allows a detailed study of urban growth around the world, as illustrated by this animation of urbanization around Shenzen, China. || ",
            "hits": 23
        },
        {
            "id": 2634,
            "url": "https://svs.gsfc.nasa.gov/2634/",
            "result_type": "Visualization",
            "release_date": "2002-08-20T12:30:00-04:00",
            "title": "Impervious Data of the Washington, DC and Baltimore, Maryland Area",
            "description": "Here we see an image of the Washington, D.C.-Baltimore area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. || ",
            "hits": 22
        },
        {
            "id": 2636,
            "url": "https://svs.gsfc.nasa.gov/2636/",
            "result_type": "Visualization",
            "release_date": "2002-08-20T12:00:00-04:00",
            "title": "Impervious Data of the Washington, DC Area",
            "description": "Here we see an image of the Washington, D.C. area taken with the Landsat satellite. The dates of the images are from 1986, 1990, 1996, and 2000. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. || ",
            "hits": 17
        },
        {
            "id": 2637,
            "url": "https://svs.gsfc.nasa.gov/2637/",
            "result_type": "Visualization",
            "release_date": "2002-08-20T12:00:00-04:00",
            "title": "Impervious Data of the Baltimore Area",
            "description": "Here we see an image of the Baltimore Maryland area taken with the Landsat satellite. Dates ranging from 1986, 1990, 1996, 2000. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. || ",
            "hits": 18
        },
        {
            "id": 2323,
            "url": "https://svs.gsfc.nasa.gov/2323/",
            "result_type": "Visualization",
            "release_date": "2001-12-10T12:00:00-05:00",
            "title": "Dhaka, Bangladesh Urban Growth",
            "description": "The population of Dhaka, Bangladesh grew in size considerably between 1972 and 2001. This 'urban growth' can be easily seen through various Landsat satellite images over time. || ",
            "hits": 86
        },
        {
            "id": 2176,
            "url": "https://svs.gsfc.nasa.gov/2176/",
            "result_type": "Visualization",
            "release_date": "2001-06-12T12:00:00-04:00",
            "title": "Impervious Surface Cover: Paved Areas in DC and Baltimore",
            "description": "A special algorithm has been applied to the Landsat 7 image to illuminate the changes in low-density residential land use which exemplify sprawl.There is a link between impervious surfaces within a watershed, (here we see a subset of the Chesapeake Bay watershed area) and the water quality within the watershed. In general, once 10-15 % of an area is covered by impervious surfaces, increased sediments and chemical pollutants in runoff have a measurable effect on water quality. When 15-25% of a watershed is paved or impervious to drainage, increased runoff leads to reduced oxygen levels and impaired stream life. When more then 25% of surfaces are paved, many types of stream life die from the concentrated runoff and sediments. || ",
            "hits": 24
        },
        {
            "id": 2177,
            "url": "https://svs.gsfc.nasa.gov/2177/",
            "result_type": "Visualization",
            "release_date": "2001-06-12T12:00:00-04:00",
            "title": "Impervious Surface Cover: Non-Paved Areas",
            "description": "A special algorithm has been applied to the Landsat 7 image to illuminate the changes in low-density residential land use which exemplify sprawl.There is a link between impervious surfaces within a watershed, (here we see a subset of the Chesapeake Bay watershed area) and the water quality within the watershed. In general, once 10-15 % of an area is covered by impervious surfaces, increased sediments and chemical pollutants in runoff have a measurable effect on water quality. When 15-25% of a watershed is paved or impervious to drainage, increased runoff leads to reduced oxygen levels and impaired stream life. When more then 25% of surfaces are paved, many types of stream life die from the concentrated runoff and sediments. || ",
            "hits": 8
        },
        {
            "id": 2178,
            "url": "https://svs.gsfc.nasa.gov/2178/",
            "result_type": "Visualization",
            "release_date": "2001-06-12T12:00:00-04:00",
            "title": "Impervious Surface Cover: Full Graph of DC and Baltimore",
            "description": "Here we see an image of the Baltimore/D.C. area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. || ",
            "hits": 6
        },
        {
            "id": 2179,
            "url": "https://svs.gsfc.nasa.gov/2179/",
            "result_type": "Visualization",
            "release_date": "2001-06-12T12:00:00-04:00",
            "title": "Impervious Surface Cover: Close Up of DC",
            "description": "Here we see an image of the DC area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. || ",
            "hits": 15
        },
        {
            "id": 2180,
            "url": "https://svs.gsfc.nasa.gov/2180/",
            "result_type": "Visualization",
            "release_date": "2001-06-12T12:00:00-04:00",
            "title": "Impervious Surface Cover: Close Up of Baltimore",
            "description": "Here we see an image of the Baltimore area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. || ",
            "hits": 16
        },
        {
            "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": 5
        },
        {
            "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": 16
        },
        {
            "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": 6
        },
        {
            "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": 3
        },
        {
            "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": 5
        },
        {
            "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": 9
        },
        {
            "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": 20
        },
        {
            "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": 20
        },
        {
            "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": 5
        },
        {
            "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": 4
        },
        {
            "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": 3
        },
        {
            "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": 1
        },
        {
            "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": 17
        },
        {
            "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": 9
        },
        {
            "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": 21
        },
        {
            "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": 28
        },
        {
            "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": 11
        },
        {
            "id": 1056,
            "url": "https://svs.gsfc.nasa.gov/1056/",
            "result_type": "Visualization",
            "release_date": "2000-02-21T12:00:00-05:00",
            "title": "Shenzhen, China Land Use - True Color",
            "description": "Zoom into Shenzen, China.  True color (3,2,1) Landsat inset.  Years 1988, 1989, 1992, 1993, 1994, 1995, 1996. || a001056.00005_print.png (720x480) [713.6 KB] || a001056_pre.jpg (320x240) [28.2 KB] || a001056.webmhd.webm (960x540) [7.2 MB] || a001056.m2v (720x480) [22.0 MB] || a001056.dv (720x480) [102.8 MB] || a001056.mp4 (640x480) [5.6 MB] || a001056.mpg (352x240) [3.8 MB] || ",
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            "title": "Shenzhen, China Land Use - True Color 1988 to 1996 (With Dates)",
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            "title": "Shenzhen, China Land Use - True Color Fade 1988 to 1996",
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            "title": "Shenzhen, China Land Use - True Color Fade 1988 to 1996 (With Dates)",
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            "title": "Shenzhen, China Land Use - False Color 1988 to 1996",
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            "title": "Shenzhen, China Land Use- False Color Fade 1988 to 1996",
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            "url": "https://svs.gsfc.nasa.gov/1063/",
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            "title": "Shenzhen, China Land Use - False Color Fade 1988 to 1996 (With Dates)",
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            "title": "Supporting Media for Urban Dynamics",
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}