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    "results": [
        {
            "id": 13890,
            "url": "https://svs.gsfc.nasa.gov/13890/",
            "result_type": "Produced Video",
            "release_date": "2021-09-01T09:45:00-04:00",
            "title": "A Trip Through Time with Landsat 9",
            "description": "For half a century, the Landsat mission has shown us Earth from space. Now, come along with us on a ‘roadtrip’ through the decades to see how the technology on this NASA and U.S. Geological Survey partnership has evolved with the times to provide an unbroken data record. Our roadtrip begins with the idea for an Earth-observing sensor in the 1960s and then cruises through the first game-changing launches in the 1970s, the advent of natural color composite images in the 1980s, the increased global coverage in the 1990s, the move to free and open data archives in the 2000s, the modern era of Landsat observations in the 2010s, and now the launch of Landsat 9 in 2021. Landsat satellites have allowed us to better manage our natural resources, and will continue to help people track the effects of climate change into the future.The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey (USGS). Landsat satellites have been consistently gathering data about our planet since 1972. They continue to improve and expand this unparalleled record of Earth's changing landscapes for the benefit of all. || ",
            "hits": 67
        },
        {
            "id": 12754,
            "url": "https://svs.gsfc.nasa.gov/12754/",
            "result_type": "Produced Video",
            "release_date": "2017-10-31T00:00:00-04:00",
            "title": "Landsat sensors: pushbroom vs whiskbroom",
            "description": "Landsat collects images in long narrow strips called “swaths.” Each swath is 185 kilometers (115 miles) wide and is 2,752 kilometers (1,710 miles) from the next adjacent swath taken that day. It takes 16 days for the swaths to overlap enough to image the whole Earth.Previous Landsat sensors swept back and forth across the swath like a whisk broom to collect data. The sensor looked at a calibration source at the end of every row, which means that measurements were consistent from orbit to orbit. But this sensor design requires fast-moving parts, which are more likely to break.—and which did on Landsat 7.In contrast, the instruments on Landsat 8 view across the entire swath at once, building strips of data like a pushbroom. This approach requires no moving parts and gives the sensor detectors greater dwell time. The pushbroom instrument is smaller and lighter than previous whisk broom instruments, but its calibration is much more complex given the large number of detectors.“It was a natural step to evolve to a pushbroom sensor. The technology was proven on other satellites, and we knew we could get better accuracy. The pushbroom has no moving parts. It is a newer and more reliable technology.” explains Terry Arvidson, senior project engineer.For more information on the future of Landsat instruments, read https://landsat.gsfc.nasa.gov/landsat-9/instruments/. || ",
            "hits": 200
        },
        {
            "id": 4209,
            "url": "https://svs.gsfc.nasa.gov/4209/",
            "result_type": "Visualization",
            "release_date": "2014-09-10T00:00:00-04:00",
            "title": "Forest Cover Loss 2000-2012 in Colorado, Oklahoma, and Saskatechewan",
            "description": "Twelve years of global deforestation, wildfires, windstorms, insect infestations, and more are captured in a new set of forest disturbance maps created from billions of pixels acquired by the imager on the NASA-USGS Landsat 7 satellite. The maps are the first to measure forest loss and gain using a consistent method around the globe at high spatial resolution, allowing scientists to compare forest changes in different countries and to monitor annual deforestation. Since each pixel in a Landsat image represents a piece of land about the size of a baseball diamond, researchers can see enough detail to tell local, regional and global stories. Hansen and colleagues analyzed 143 billion pixels in 654,000 Landsat images to compile maps of forest loss and gain between 2000 and 2012. During that period, 888,000 square miles (2.3 million square kilometers) of forest was lost, and 308,900 square miles (0.8 million square kilometers) regrew. The researchers, including scientists from the University of Maryland, Google, the State University of New York, Woods Hole Research Center, the U.S. Geological Survey and South Dakota State University, published their work in the Nov. 15, 2013, issue of the journal Science.Key to the project was collaboration with team members from Google Earth Engine, who reproduced in the Google Cloud the models developed at the University of Maryland for processing and characterizing the Landsat data; Google Earth Engine contains a complete copy of the Landsat record. The computing required to generate these maps would have taken 15 years on a single desktop computer, but with cloud computing was performed in a few days.  Since 1972, the Landsat program has played a critical role in monitoring, understanding and managing the resources needed to sustain human life such as food, water and forests. Landsat 8 launched Feb. 11, 2013, and is jointly managed by NASA and USGS to continue the 40-plus years of Earth observations. To view the forest cover maps in Google Earth Engine, visit: http://earthenginepartners.appspot.com/google.com/science-2013-global-forest || ",
            "hits": 41
        },
        {
            "id": 11433,
            "url": "https://svs.gsfc.nasa.gov/11433/",
            "result_type": "Produced Video",
            "release_date": "2013-12-16T00:00:00-05:00",
            "title": "Landsat Program Timeline",
            "description": "The Landsat program offers the longest continuous global record of the Earth’s surface; it continues to deliver visually stunning and scientifically valuable images of our planet. This short video highlights Landsat’s many benefits to society.In 1975, NASA Administrator Dr. James Fletcher predicted that if one space age development would save the world, it would be Landsat and its successor satellites. Since the early 1970s, Landsat has continuously and consistently archived images of Earth; this unparalleled data archive gives scientist the ability to assess changes in Earth’s landscape.For over 40 years, the Landsat program has collected spectral information from Earth’s surface, creating a historical archive unmatched in quality, detail, coverage, and length.“It was the granddaddy of them all, as far as starting the trend of repetitive, calibrated observations of the Earth at a spatial resolution where one can detect man’s interaction with the environment,” Dr. Darrel Williams, the Landsat 7 Project Scientist, states about Landsat.Landsat sensors have a moderate spatial-resolution. You cannot see individual houses on a Landsat image, but you can see large man-made objects such as highways. This is an important spatial resolution because it is coarse enough for global coverage, yet detailed enough to characterize human-scale processes such as urban growth, deforestation, agriculture water use, and more. || ",
            "hits": 260
        },
        {
            "id": 11393,
            "url": "https://svs.gsfc.nasa.gov/11393/",
            "result_type": "Produced Video",
            "release_date": "2013-11-14T14:00:00-05:00",
            "title": "Global Forest Cover, Loss, and Gain 2000-2012",
            "description": "Twelve years of global deforestation, wildfires, windstorms, insect infestations, and more are captured in a new set of forest disturbance maps created from billions of pixels acquired by the imager on the NASA-USGS Landsat 7 satellite. The maps are the first to measure forest loss and gain using a consistent method around the globe at high spatial resolution, allowing scientists to compare forest changes in different countries and to monitor annual deforestation. Since each pixel in a Landsat image represents a piece of land about the size of a baseball diamond, researchers can see enough detail to tell local, regional and global stories. Hansen and colleagues analyzed 143 billion pixels in 654,000 Landsat images to compile maps of forest loss and gain between 2000 and 2012. During that period, 888,000 square miles (2.3 million square kilometers) of forest was lost, and 308,900 square miles (0.8 million square kilometers) regrew. The researchers, including scientists from the University of Maryland, Google, the State University of New York, Woods Hole Research Center, the U.S. Geological Survey and South Dakota State University, published their work in the Nov. 15, 2013, issue of the journal Science.Key to the project was collaboration with team members from Google Earth Engine, who reproduced in the Google Cloud the models developed at the University of Maryland for processing and characterizing the Landsat data; Google Earth Engine contains a complete copy of the Landsat record. The computing required to generate these maps would have taken 15 years on a single desktop computer, but with cloud computing was performed in a few days.  Since 1972, the Landsat program has played a critical role in monitoring, understanding and managing the resources needed to sustain human life such as food, water and forests. Landsat 8 launched Feb. 11, 2013, and is jointly managed by NASA and USGS to continue the 40-plus years of Earth observations. To view the forest cover maps in Google Earth Engine, visit: http://earthenginepartners.appspot.com/google.com/science-2013-global-forest || ",
            "hits": 79
        },
        {
            "id": 3446,
            "url": "https://svs.gsfc.nasa.gov/3446/",
            "result_type": "Visualization",
            "release_date": "2008-04-21T08:00:00-04:00",
            "title": "Chesapeake Bay Flyover",
            "description": "The Chesapeake Bay, an area of approximately 200 miles, is North America's largest estuary. The Bay and its tributaries comprises a complex ecosystem which encompasses rivers, wetlands, trees and habitats. This animation takes us on a tour around the Bay starting from its 'mouth' near Norfolk, Virginia, flying north up to the Susquehanna River and then flying down the area of the Eastern Shore all the way to the Fishermans Island, zooming out to get a look of the Chesapeake bay region. The imagery utilized for this animation is a false-color Chesapeake Bay Landsat-7 Mosaic (#3473) composed of eight scenes acquired between 1999-2002, which were put together and color corrected to resemble natural looking colors.The mosaic was created by EarthSat under contract with NASA as part of the GeoCover 2000 product. All images used in GeoCover were acquired by Landsat 7 during the period of 1999-2002. The pixel size of the full resolution image represents 14.25 m on the ground. The Chesapeake Bay mosaic uses portions of eight Landsat-7 scenes. Below you will find a listing of the eight Landsat 7 images that were put together to create the composite image. Landsat scenes are organized by a Path and Row number according to the Worldwide Reference System. (To learn more about Landsat's Worldwide Reference System, please visit: http://landsat.gsfc.nasa.gov/about/wrs.html)Scenes used in the Chesapeake Bay mosaic:Landsat 7 WRS Path 15-Row 32 acquired on Oct. 05, 2001 Landsat 7 WRS Path 14-Row 32 acquired on Sept. 23, 1999 Landsat 7 WRS Path 15-Row 33 acquired on October 05, 2001 Landsat 7 WRS Path 14-Row 33 acquired on July 10, 2001 Landsat 7 WRS Path 15-Row 34 acquired on Sept. 30, 1999 Landsat 7 WRS Path 14-Row 34 acquired on July 10, 2001 Landsat 7 WRS Path 15-Row 35 acquired on Sept. 30, 1999 Landsat 7 WRS Path 14-Row 35 acquired on Sept. 23, 1999 || ",
            "hits": 19
        },
        {
            "id": 3472,
            "url": "https://svs.gsfc.nasa.gov/3472/",
            "result_type": "Visualization",
            "release_date": "2008-04-21T08:00:00-04:00",
            "title": "Chesapeake Bay Flyover and Watershed Region",
            "description": "The watershed that drains into the Chesapeake Bay is a huge expanse that extends 64,000 miles into six states across North America (New York, Pensylvania, Maryland, Delaware, Virginia, and West Virginia) and the District of Columbia. This visualization overlays the full watershed onto a Landsat satellite visualization of the Bay area. The eight different distinctly colored regions indicate the Chesapeake's major subwatersheds. These subwatershed regions are: Susquehanna, Potomac, Patuxent, MD West Shore, Rapahhannock, Eastern Shore, James and York. This visualization is an extension of the Chesapeake Bay Flyover (#3446) in order to demonstrate the entire Chesapeake Bay Watershed region. The imagery utilized for this animation is a false-color  Chesapeake Bay Landsat-7 Mosaic (#3473) composed of eight scenes acquired between 1999-2002, which were put together and color corrected to resemble natural looking colors.Data Notes:The mosaic was created by EarthSat under contract with NASA as part of the GeoCover 2000 product. All images used in GeoCover were acquired by Landsat-7 during the period of 1999-2002. The pixel size of the full resolution image represents 14.25 m on the ground. The Chesapeake Bay mosaic uses portions of eight Landsat-7 scenes. Below you will find a listing of the eight Landsat 7 images that were put together to create the composite image. Landsat scenes are organized by a Path and Row number according to the Worldwide Reference System. (To learn more about Landsat's Worldwide Reference System, please visit: http://landsat.gsfc.nasa.gov/about/wrs.html)Scenes used in the Chesapeake Bay mosaic: Landsat-7 WRS Path 15-Row 32 acquired on Oct. 05, 2001 Landsat-7 WRS Path 14-Row 32 acquired on Sept. 23, 1999 Landsat-7 WRS Path 15-Row 33 acquired on October 05, 2001 Landsat-7 WRS Path 14-Row 33 acquired on July 10, 2001Landsat-7 WRS Path 15-Row 34 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 34 acquired on July 10, 2001 Landsat-7 WRS Path 15-Row 35 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 35 acquired on Sept. 23, 1999 || ",
            "hits": 31
        },
        {
            "id": 3493,
            "url": "https://svs.gsfc.nasa.gov/3493/",
            "result_type": "Visualization",
            "release_date": "2008-04-21T08:00:00-04:00",
            "title": "Chesapeake Bay Cities",
            "description": "This animation takes us on a tour around the Chesapeake Bay region visiting major city centers in the surrounding states: Maryland, Virginia, Delaware and the District of Columbia. The imagery utilized for this animation is a false-color Chesapeake Bay Landsat-7 Mosaic (#3473) composed of eight scenes acquired between 1999-2002, which were put together and color corrected to resemble natural looking colors.The mosaic was created by EarthSat under contract with NASA as part of the GeoCover 2000 product. All images used in GeoCover were acquired by Landsat 7 during the period of 1999-2002. The pixel size of the full resolution image represents 14.25 m on the ground. The Chesapeake Bay mosaic uses portions of eight Landsat-7 scenes. Below you will find a listing of the eight Landsat 7 images that were put together to create the composite image. Landsat scenes are organized by a Path and Row number according to the Worldwide Reference System. (To learn more about Landsat's Worldwide Reference System, please visit: http://landsat.gsfc.nasa.gov/about/wrs.html)Scenes used in the Chesapeake Bay mosaic: Landsat 7 WRS Path 15-Row 32 acquired on Oct. 05, 2001 Landsat 7 WRS Path 14-Row 32 acquired on Sept. 23, 1999 Landsat 7 WRS Path 15-Row 33 acquired on October 05, 2001 Landsat 7 WRS Path 14-Row 33 acquired on July 10, 2001 Landsat 7 WRS Path 15-Row 34 acquired on Sept. 30, 1999 Landsat 7 WRS Path 14-Row 34 acquired on July 10, 2001 Landsat 7 WRS Path 15-Row 35 acquired on Sept. 30, 1999 Landsat 7 WRS Path 14-Row 35 acquired on Sept. 23, 1999 || ",
            "hits": 27
        },
        {
            "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": 19
        },
        {
            "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": 22
        },
        {
            "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": 36
        },
        {
            "id": 2658,
            "url": "https://svs.gsfc.nasa.gov/2658/",
            "result_type": "Visualization",
            "release_date": "2003-01-09T12:00:00-05:00",
            "title": "JASON Project: Flying over the Channel Islands",
            "description": "By using Landsat-7/ETM+ data and USGS DEM Elevation data, we are able to take a virtual tour of the Channel Islands and the coast of California. For more information on the Channel Islands, please visit http://www.channel.islands.national-park.com. || ",
            "hits": 12
        },
        {
            "id": 2277,
            "url": "https://svs.gsfc.nasa.gov/2277/",
            "result_type": "Visualization",
            "release_date": "2002-02-08T12:00:00-05:00",
            "title": "Seasonal Changes: Salt Lake City, Utah",
            "description": "Landsat 7 views Salt Lake City, Utah, as it goes through the seasonal changes. || Landsat 7 views Salt Lake City, Utah, as it goesthrough the seasonal changes. || a002277.00005_print.png (720x480) [540.5 KB] || a002277_thm.png (80x40) [6.8 KB] || a002277_pre.jpg (320x240) [17.9 KB] || a002277_pre_searchweb.jpg (320x180) [86.1 KB] || a002277.webmhd.webm (960x540) [2.4 MB] || a002277.dv (720x480) [48.1 MB] || a002277.mp4 (640x480) [2.6 MB] || a002277.mpg (320x240) [865.3 KB] || ",
            "hits": 8
        },
        {
            "id": 2278,
            "url": "https://svs.gsfc.nasa.gov/2278/",
            "result_type": "Visualization",
            "release_date": "2002-02-08T12:00:00-05:00",
            "title": "Seasonal Changes: Heber City, Utah",
            "description": "Landsat 7 views Heber City, Utah, as it goes through the seasonal changes. || Landsat 7 views Heber City, Utah, as it goesthrough the seasonal changes. || a002278.00005_print.png (720x480) [614.8 KB] || a002278.00100_print.png (720x480) [616.1 KB] || a002278_pre.jpg (320x240) [23.0 KB] || a002278.webmhd.webm (960x540) [2.6 MB] || a002278.dv (720x480) [49.4 MB] || a002278.mp4 (640x480) [2.8 MB] || a002278.mpg (320x240) [865.0 KB] || ",
            "hits": 6
        },
        {
            "id": 2279,
            "url": "https://svs.gsfc.nasa.gov/2279/",
            "result_type": "Visualization",
            "release_date": "2002-02-08T12:00:00-05:00",
            "title": "Seasonal Changes: Park City, Utah",
            "description": "Landsat 7 views Park City, Utah, as it goes through the seasonal changes. || Landsat 7 views Park City, Utah, as it goesthrough the seasonal changes. || a002279.00005_print.png (720x480) [617.6 KB] || a002279_pre.jpg (320x240) [21.9 KB] || a002279.webmhd.webm (960x540) [2.6 MB] || a002279.dv (720x480) [50.6 MB] || a002279.mp4 (640x480) [2.9 MB] || a002279.mpg (320x240) [869.9 KB] || ",
            "hits": 9
        },
        {
            "id": 2191,
            "url": "https://svs.gsfc.nasa.gov/2191/",
            "result_type": "Visualization",
            "release_date": "2001-06-22T12:00:00-04:00",
            "title": "Reno Fire from Landsat: June 19, 2001",
            "description": "This animation is a simple zoom into the June 19, 2001 fire in Reno, Nevada.  The original image is a Landsat 7 true color image of the fire between Lake Tahoe, Nevada and Reno, Nevada.  Reno is under the smoke cloud. || ",
            "hits": 15
        },
        {
            "id": 2118,
            "url": "https://svs.gsfc.nasa.gov/2118/",
            "result_type": "Visualization",
            "release_date": "2001-04-19T12:00:00-04:00",
            "title": "Looking at Minnesota in Winter",
            "description": "Minnesota isn't always covered in snow during winter. This is a dissolve between images of Minnesota in 2000 and 2001. || ",
            "hits": 23
        },
        {
            "id": 2119,
            "url": "https://svs.gsfc.nasa.gov/2119/",
            "result_type": "Visualization",
            "release_date": "2001-04-19T12:00:00-04:00",
            "title": "Minnesota Winter Comparison 2000-2001",
            "description": "Minnesota isn't always covered by snow in winter. Zooming down to St. Paul and dissolving between data sets collected during March 2000 and March 2001. || ",
            "hits": 13
        },
        {
            "id": 758,
            "url": "https://svs.gsfc.nasa.gov/758/",
            "result_type": "Visualization",
            "release_date": "1999-09-15T12:00:00-04:00",
            "title": "Maryland Drought: Side by Side Comparison of Loch Raven in May and August, 1999",
            "description": "Side-by-side comparison of Loch Raven, Maryland in May and August, 1999, from Landsat imagery || comparison.jpg (720x486) [38.1 KB] || comparison_thm.png (80x40) [5.8 KB] || comparison_web.jpg (320x216) [10.6 KB] || comparison_web_searchweb.jpg (320x180) [82.3 KB] || ",
            "hits": 40
        },
        {
            "id": 759,
            "url": "https://svs.gsfc.nasa.gov/759/",
            "result_type": "Visualization",
            "release_date": "1999-09-15T12:00:00-04:00",
            "title": "Maryland Drought: Loch Raven Dissolve Between May and August 1999",
            "description": "Dissolve between Landsat imagery of Loch Raven, Maryland in May and August of 1999, showing the effects of the drought || a000759.00005_print.png (720x480) [480.1 KB] || a000759_thm.png (80x40) [5.7 KB] || a000759_pre.jpg (320x194) [7.2 KB] || a000759_pre_searchweb.jpg (320x180) [54.6 KB] || a000759.webmhd.webm (960x540) [1.2 MB] || a000759.dv (720x480) [41.0 MB] || a000759.mp4 (640x480) [2.2 MB] || a000759.mpg (352x240) [1.3 MB] || ",
            "hits": 39
        },
        {
            "id": 760,
            "url": "https://svs.gsfc.nasa.gov/760/",
            "result_type": "Visualization",
            "release_date": "1999-09-15T12:00:00-04:00",
            "title": "Maryland Drought: Zoom down to Liberty Reservoir Comparing July 1997 with July 1999 (with dates)",
            "description": "Zoom down to Liberty Reservoir comparing July, 1997 and July, 1999.  This animation shows Landsat's view of Maryland's Liberty Reservoir from its normal levels in July of 1997 to its extreme low levels during the drought of 1999. || ",
            "hits": 45
        },
        {
            "id": 761,
            "url": "https://svs.gsfc.nasa.gov/761/",
            "result_type": "Visualization",
            "release_date": "1999-09-15T12:00:00-04:00",
            "title": "Maryland Drought: Zoom down to Liberty Reservoir comparing July 1997 and July 1999 (without dates)",
            "description": "Zoom down to Liberty Reservoir comparing July, 1997 and July, 1999.  This animation shows Landsat's view of Maryland's Liberty Reservoir from its normal levels in July of 1997 to its extreme low levels during the drought of 1999. || ",
            "hits": 35
        },
        {
            "id": 762,
            "url": "https://svs.gsfc.nasa.gov/762/",
            "result_type": "Visualization",
            "release_date": "1999-09-15T12:00:00-04:00",
            "title": "Maryland Drought: Side-by-side Comparison of Liberty Reservoir in 1997 and 1999 (Without Dates)",
            "description": "A side-by-side image of Marylands Liberty Reservoir comparing July, 1997 and July, 1999, from Landsat imagery || a000762_still.jpg (720x528) [172.1 KB] || a000762_pre.jpg (320x238) [13.9 KB] || a000762_thm.png (80x40) [6.6 KB] || a000762_pre_searchweb.jpg (320x180) [89.5 KB] || ",
            "hits": 36
        },
        {
            "id": 763,
            "url": "https://svs.gsfc.nasa.gov/763/",
            "result_type": "Visualization",
            "release_date": "1999-09-15T12:00:00-04:00",
            "title": "Maryland Drought: Side-by-side Comparison of Liberty Reservoir in 1997 and 1999 (With Dates)",
            "description": "This is a side-by-side image of Maryland's Liberty Reservoir. The image on the left is a Landsat image from July 1997. The image on the right is also a Landsat image, but it was taken in July of 1999 after two consecutive years of drought. || ",
            "hits": 37
        },
        {
            "id": 593,
            "url": "https://svs.gsfc.nasa.gov/593/",
            "result_type": "Visualization",
            "release_date": "1999-04-22T12:00:00-04:00",
            "title": "First Images from Landsat 7: Sailing Down the Missouri River",
            "description": "First Images from Landsat 7, South Dakota and theMissouri River. In this animation the viewer is flown down the Missouririver and delivered to Yankton, South Dakota, from an image taken April 22, 1998. || a000593.00005_print.png (720x480) [591.6 KB] || a000593_thm.png (80x40) [6.2 KB] || a000593_pre.jpg (320x242) [13.6 KB] || a000593_pre_searchweb.jpg (320x180) [85.9 KB] || a000593.webmhd.webm (960x540) [9.5 MB] || a000593.dv (720x480) [137.3 MB] || a000593.mp4 (640x480) [7.5 MB] || a000593.mpg (352x240) [4.8 MB] || ",
            "hits": 41
        },
        {
            "id": 594,
            "url": "https://svs.gsfc.nasa.gov/594/",
            "result_type": "Visualization",
            "release_date": "1999-04-22T12:00:00-04:00",
            "title": "First Images from Landsat 7: Zooming Down to Yankton, South Dakota",
            "description": "Zoom down to Yankton, South Dakota || Zooming down to Yankton, South Dakota, in an image taken by Landsat 7 on April 22, 1999 || a000594.00005_print.png (720x480) [641.0 KB] || a000594_thm.png (80x40) [6.8 KB] || a000594_pre.jpg (320x217) [23.4 KB] || a000594_pre_searchweb.jpg (320x180) [117.4 KB] || a000594.webmhd.webm (960x540) [4.3 MB] || a000594.dv (720x480) [61.8 MB] || a000594.mp4 (640x480) [3.4 MB] || a000594.mpg (352x240) [2.6 MB] || ",
            "hits": 44
        },
        {
            "id": 596,
            "url": "https://svs.gsfc.nasa.gov/596/",
            "result_type": "Visualization",
            "release_date": "1999-04-22T12:00:00-04:00",
            "title": "First Images from Landsat 7: South Dakota and the Missouri River.",
            "description": "In this animation, using Landsat 7 data, the viewer is flown down to the Missouri River and along it to Yankton, South Dakota, from an image taken April 22, 1999. || a000596.00005_print.png (720x480) [635.1 KB] || a000596_thm.png (80x40) [6.7 KB] || a000596_pre.jpg (320x217) [21.6 KB] || a000596_pre_searchweb.jpg (320x180) [106.9 KB] || a000596.webmhd.webm (960x540) [14.8 MB] || a000596.dv (720x480) [205.9 MB] || a000596.mp4 (640x480) [11.3 MB] || a000596.mpg (352x240) [7.3 MB] || ",
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}