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    "results": [
        {
            "id": 4913,
            "url": "https://svs.gsfc.nasa.gov/4913/",
            "result_type": "Visualization",
            "release_date": "2021-07-29T19:00:00-04:00",
            "title": "ICESat-2 Maps Subglacial Lakes in Antarctica",
            "description": "Data visualization featuring precise map of Mercer and Conway subglacial lakes in West Antarctica. The visualization sequence starts with a view of the Americas and slowly zooms into the suture between the Mercer and Whillans ice streams. Surface-height anomaly data from NASA's ICESat-2 mission provide critical insight for the drain-fill cycles of subglacial lakes and aid in the discovery of two new water bodies within the same region. This data-driven visualization includes labels of ice formations close to the area of interest and repeats playback of the segment of the subglacial lakes surface-height anomalies. || SubglacialLakesCompositex2_4K60fps_0904_print.jpg (1024x576) [88.8 KB] || SubglacialLakesCompositex2_4K60fps_0904.png (3840x2160) [5.9 MB] || Compositex2 (1920x1080) [0 Item(s)] || SubglacialLakesCompositex2_HD60fps.mp4 (1920x1080) [58.4 MB] || SubglacialLakesCompositex2_1080p30.mp4 (1920x1080) [53.8 MB] || SubglacialLakesCompositex2_HD60fps.webm (1920x1080) [6.9 MB] || Compositex2_4K (3840x2160) [0 Item(s)] || SubglacialLakesCompositex2_4K60fps.mp4 (3840x2160) [58.5 MB] || SubglacialLakesCompositex2_4K30fps.mp4 (3840x2160) [182.4 MB] || SubglacialLakesCompositex2_1080p30.mp4.hwshow [200 bytes] || ",
            "hits": 231
        },
        {
            "id": 4823,
            "url": "https://svs.gsfc.nasa.gov/4823/",
            "result_type": "Visualization",
            "release_date": "2020-09-11T00:00:00-04:00",
            "title": "Draining the Oceans",
            "description": "Data visualization of the draining of the Earth's oceans. The visualization simulates an incremental drop of 10 meters of the water’s level on Earth’s surface. As time progresses and the oceans drain, it becomes evident that underwater mountain ranges are bigger in size and trenches are deeper in comparison to those on dry land. While water drains quickly closer to continents, it drains slowly in our planet’s deepest trenches. || OceanDrain_3840x2160_60fps_0837_print.jpg (1024x576) [259.5 KB] || OceanDrain_3840x2160_60fps_0837_print_searchweb.png (320x180) [97.8 KB] || OceanDrain_3840x2160_60fps_0837_print_thm.png (80x40) [7.8 KB] || OceanDrain_1920x1080_30fps.mp4 (1920x1080) [44.2 MB] || OceanDrain_1920x1080_30fps.webm (1920x1080) [4.3 MB] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain_3840x2160_60fps_0837.tif (3840x2160) [31.6 MB] || OceanDrain_3840x2160_30fps.mp4 (3840x2160) [154.1 MB] || OceanDrain_1920x1080_30fps.mp4.hwshow [192 bytes] || ",
            "hits": 599
        },
        {
            "id": 30979,
            "url": "https://svs.gsfc.nasa.gov/30979/",
            "result_type": "Hyperwall Visual",
            "release_date": "2018-07-31T00:00:00-04:00",
            "title": "ECOSTRESS Installation and First Data",
            "description": "The first light image from ECOSTRESS, showing the Nile river valley. || ecostress_first_light_PIA22590.png (1920x1080) [1.3 MB] || ecostress_first_light_PIA22590_print.jpg (1024x576) [99.0 KB] || ecostress_first_light_PIA22590_searchweb.png (320x180) [55.4 KB] || ecostress_first_light_PIA22590_thm.png (80x40) [4.5 KB] || ecostress_first_light_PIA22590.hwshow [228 bytes] || ",
            "hits": 75
        },
        {
            "id": 4627,
            "url": "https://svs.gsfc.nasa.gov/4627/",
            "result_type": "Visualization",
            "release_date": "2018-05-16T13:00:00-04:00",
            "title": "GRACE 15-Year Groundwater Trends",
            "description": "Africa, No Colorbar || africa_groundwater_no_cbar.01500_print.jpg (1024x576) [108.2 KB] || africa_groundwater_no_cbar.01500_searchweb.png (320x180) [71.6 KB] || africa_groundwater_no_cbar.01500_web.png (320x180) [71.6 KB] || africa_no_cbar (1920x1080) [0 Item(s)] || africa_groundwater_no_cbar_1080p30.mp4 (1920x1080) [21.3 MB] || africa_groundwater_no_cbar_1080p30.webm (1920x1080) [5.6 MB] || ",
            "hits": 40
        },
        {
            "id": 4588,
            "url": "https://svs.gsfc.nasa.gov/4588/",
            "result_type": "Visualization",
            "release_date": "2017-10-06T00:00:00-04:00",
            "title": "Improvements in Groundwater and Soil Moisture Measurements Derived from the GRACE Mission",
            "description": "From space, we track water in the ground – whether it is a centimeter, a meter, or a kilometer below the surface. Around the world, NASA's GRACE satellites have provided unprecedented views of water storage in natural aquifers. These underground reserves are so massive that they affect Earth's gravity field. When their mass changes, the satellites detect the change in gravity. Droughts can affect deep groundwater stores when water users pump hundreds of billions of gallons out of their aquifers to compensate for the lack of rainfall – and GRACE can detect this change.This view from space has revolutionized our understanding of water stores beneath the surface. But scientists at NASA Goddard can combine GRACE data with sophisticated computer models to give decision makers in the continental US an otherwise unseen view, helping to trigger critical water conservation measures.These computer models help us decompose the GRACE signal to identify changes in both the shallow groundwater and the root zone where crops are actually drawing moisture to survive.  Stations on the ground provide a connect-the-dots picture. The vantage point from space – combined with modeling – provides a comprehensive view of how the drought evolved over time and ultimately ended.This constantly changing snapshot of shallow groundwater conditions is now used every week in the US Drought Monitor, the benchmark relied upon by decision makers at the local, state, and federal level.This visualization shows the global Terrestrial Water Storage Anomaly from GRACE data, and then highlights the contiguous United States to show groundwater anomaly. This more detailed view is made by assimilating GRACEwater storage data into a supercomputer model of the land surface.  The visualization dives into California, showing further detail by separating out the surface soil moisture (top 2 centimeters) and the root zone soil mositure (top 100 centimeters). || ",
            "hits": 40
        },
        {
            "id": 30073,
            "url": "https://svs.gsfc.nasa.gov/30073/",
            "result_type": "Hyperwall Visual",
            "release_date": "2017-09-01T12:00:00-04:00",
            "title": "Water Level in Lake Powell",
            "description": "Among the dams on the Colorado River is the Glen Canyon Dam, which creates Lake Powell. This series of natural-color Landsat images shows the dramatic drop in Lake Powell’s water level between 1999 and 2025 caused by prolonged drought and water withdrawals.",
            "hits": 89
        },
        {
            "id": 4544,
            "url": "https://svs.gsfc.nasa.gov/4544/",
            "result_type": "Visualization",
            "release_date": "2017-05-26T10:30:00-04:00",
            "title": "2015-2016 El Niño: Daily Sea Surface Temperature Anomaly and Ocean Currents",
            "description": "This visualization shows 2015-2016 El Nino through changes in sea surface temperature and ocean currents.  Blue regions represent colder temperatures and red regions represent warmer temperatures when compared with normal conditions.  Yellow arrows illustrate eastward currents and white arrows are westward currents. || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_print.jpg (1024x576) [175.5 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_searchweb.png (320x180) [97.1 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_thm.png (80x40) [6.7 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.webm (1920x1080) [163.5 KB] || with_colorbar (3840x2160) [256.0 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.mp4 (1920x1080) [159.4 MB] || GMAO_oceanTemperatureAnomaly_withColorbar.mp4 (3840x2160) [166.0 MB] || ",
            "hits": 69
        },
        {
            "id": 30862,
            "url": "https://svs.gsfc.nasa.gov/30862/",
            "result_type": "Hyperwall Visual",
            "release_date": "2017-03-07T00:00:00-05:00",
            "title": "GRACE measures California water",
            "description": "Water storage from 2002-2017 as measured by gravity anomalies. || grace_ca_water_black_201701_print.jpg (1024x574) [119.7 KB] || grace_ca_water_black_201701_searchweb.png (320x180) [59.5 KB] || grace_ca_water_black_201701_thm.png (80x40) [4.9 KB] || grace_ca_water_black_1080p.mp4 (1920x1080) [7.3 MB] || grace_ca_water_black_720p.mp4 (1280x720) [3.6 MB] || grace_ca_water_black_720p.webm (1280x720) [5.9 MB] || grace_ca_water_black_201701.tif (4104x2304) [4.5 MB] || grace_ca_water_black_2304p.mp4 (4096x2304) [25.9 MB] || grace_ca_water_black_360p.mp4 (640x360) [1.1 MB] || ",
            "hits": 68
        },
        {
            "id": 4325,
            "url": "https://svs.gsfc.nasa.gov/4325/",
            "result_type": "Visualization",
            "release_date": "2015-08-26T10:00:00-04:00",
            "title": "NASA GSFC MASCON Solution over Greenland from Jan 2004 - Jun 2014",
            "description": "Visualization of the mass change over Greenland from January 2004 through June 2014.  The surface of Greenland shows the change in equivalent water height while the graph overlay shows the total accumulated change in gigatons. || GRACE_Greenland_wGraph_p30.1322_print.jpg (1024x576) [138.2 KB] || GRACE_Greenland_wGraph_p30.1322_searchweb.png (180x320) [84.6 KB] || GRACE_Greenland_wGraph_p30.1322_thm.png (80x40) [7.0 KB] || GRACE_Greenland_wGraph_p30_720p.webm (1280x720) [2.5 MB] || GRACE_Greenland_wGraph_p30_1080p.webm (1920x1080) [2.9 MB] || GRACE_Greenland_wGraph_p30_1080p.mp4 (1920x1080) [16.9 MB] || GRACE_Greenland_wGraph_p30_720p.mp4 (1280x720) [9.4 MB] || composite (1920x1080) [0 Item(s)] || composite (1920x1080) [0 Item(s)] || GRACE_Greenland_wGraph_p30_360p.mp4 (640x360) [3.4 MB] || MASCON_solution_greenland_4325.key [12.7 MB] || MASCON_solution_greenland_4325.pptx [10.1 MB] || ",
            "hits": 27
        },
        {
            "id": 4283,
            "url": "https://svs.gsfc.nasa.gov/4283/",
            "result_type": "Visualization",
            "release_date": "2015-03-31T12:00:00-04:00",
            "title": "Painting the World with Water",
            "description": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set. || GPM_Fleet_IMERG_globe.00556_print.jpg (1024x576) [66.4 KB] || GPM_Fleet_IMERG_globe.00556_searchweb.png (180x320) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_web.png (320x180) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_thm.png (80x40) [3.7 KB] || GPM_Fleet_IMERG_globe.webm (1920x1080) [5.8 MB] || GPM_Fleet_IMERG_globe.mp4 (1920x1080) [55.2 MB] || globecomposite (1920x1080) [128.0 KB] || GPM_Fleet_IMERG_globe_4283.pptx [55.9 MB] || GPM_Fleet_IMERG_globe_4283.key [58.4 MB] || GPM_Fleet_IMERG_globe.mp4.hwshow [214 bytes] || ",
            "hits": 84
        },
        {
            "id": 30584,
            "url": "https://svs.gsfc.nasa.gov/30584/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-02-13T00:00:00-05:00",
            "title": "AXIOM-1 Ocean chlorophyll, Sea Ice Thickness and Atmospheric Precipitable Water",
            "description": "This animation shows ocean surface chlorophyll concentration, sea ice thickness, and atmospheric precipitable water. || 0001_print.jpg (1024x576) [236.0 KB] || 0001_searchweb.png (320x180) [121.0 KB] || 0001_web.png (320x180) [121.0 KB] || 0001_thm.png (80x40) [8.0 KB] || chl-1920x1080.webm (1920x1080) [15.9 MB] || axiom_chl_720p.mp4 (1280x720) [161.2 MB] || axiom_chl_h265_720p.mp4 (1280x720) [105.5 MB] || chl-1920x1080.mp4 (1920x1080) [889.5 MB] || chl (5760x3240) [128.0 KB] || axiom_chl_h265_2304p.mp4 (4096x2304) [913.8 MB] || chlorophyll_ice_thickness_precip_water_30584.key [896.4 MB] || chlorophyll_ice_thickness_precip_water_30584.pptx [893.1 MB] || axiom_chl_2304p.mp4 (4096x2304) [1.4 GB] || ",
            "hits": 20
        },
        {
            "id": 30580,
            "url": "https://svs.gsfc.nasa.gov/30580/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-01-21T15:00:00-05:00",
            "title": "The Water Cycle",
            "description": "Diagram of the water cycle || water_cycle_print.jpg (1024x574) [110.8 KB] || water_cycle.png (4104x2304) [1.6 MB] || water_cycle_searchweb.png (320x180) [63.3 KB] || water_cycle_thm.png (80x40) [6.1 KB] || water_cycle_30580.pptx [1.6 MB] || water_cycle_30580.key [5.8 MB] || water_cycle.hwshow [71 bytes] || ",
            "hits": 97
        },
        {
            "id": 30469,
            "url": "https://svs.gsfc.nasa.gov/30469/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-11-01T12:00:00-04:00",
            "title": "Landsat Data Help Water-Resource Managers",
            "description": "In the Western United States between 80 and 90% of freshwater is used for agriculture. In Southern California irrigated farmland stretches southward across the desert from the Salton Sea—an artificial inland sea—to the Mexico border. In the natural-color image [left] acquired on May 15, 2013, by Landsat 8’s Operational Land Imager, blocks of square farmland appear in shades of green and tan, while urban areas such as El Centro, California and Mexicali, Mexico appear in shades of gray. Accurate estimates of total crop area provided by Landsat satellites can be used to help forecast commodities in the United States and the world food market. On that same day, thermal measurements from Landsat 8’s Thermal Infrared Sensor [right] show different temperatures between crop fields as well as urban and desert areas. Cooler areas (e.g., irrigated crops) appear as dark purple and red shades, while warmer areas (e.g., urban and desert areas) appear as shades of bright yellow and white. Plants cool down when they transpire, so the combination of water evaporating from the plants and the ground (i.e., evapotranspiration) lowers the temperature of the irrigated land. Pixels representing cooler areas in thermal images from TIRS help water-resource managers determine where water is being used for irrigation, allowing them to make management decisions on water distribution to preserve this scarce resource. When an earlier design of Landsat 8 did not include a thermal infrared band, the Western States Water Council advocated for its inclusion.Used in 2014 Calendar. || ",
            "hits": 37
        },
        {
            "id": 30473,
            "url": "https://svs.gsfc.nasa.gov/30473/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-11-01T12:00:00-04:00",
            "title": "Observing Freshwater Losses in the Middle East",
            "description": "A study using data from NASA’s Gravity Recovery and Climate Experiment (GRACE) satellites found that large parts of the arid Middle East region lost freshwater reserves rapidly during the past decade. Meanwhile, demand for freshwater continues to rise. The two natural-color images on the left were acquired by the Landsat 5 satellite and show the shrinking of the Qadisiyah Reservoir in Iraq between September 7, 2006 [top left] and September 15, 2009 [bottom left]. The graph below these two images shows the elevation of the water in that reservoir between January 2003 and December 2009. The elevation is a proxy measurement for the total volume of water stored there. The two regional images on the right were created with GRACE data and show total water storage in the Tigris and Euphrates river basins for September 2003 [top right] and September 2009 [bottom right]. The graph shows a decrease in water storage for the study area as measured by GRACE from January 2003 to December 2009. The gray line depicts total water storage—groundwater, surface water bodies, and soil moisture—while the green line depicts changes in surface water. The difference between those two lines reflects the change in water stored in underground aquifers. The total water storage shows a seasonal fluctuation, but also an overall downward trend, suggesting that groundwater is being pumped and used faster than natural processes can replenish it. Data from satellites such as GRACE are essential to providing a more complete global picture of water storage trends.Used in 2014 Calendar. || ",
            "hits": 78
        },
        {
            "id": 30017,
            "url": "https://svs.gsfc.nasa.gov/30017/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-03-07T00:00:00-05:00",
            "title": "GEOS-5 Nature Run Collection",
            "description": "Through numerical experiments that simulate the dynamical and physical processes governing weather and climate variability of Earth's atmosphere, models create a dynamic portrait of our planet. This 10-kilometer global mesoscale simulation (Nature Run) using the NASA Goddard Earth Observing System Model (GEOS-5) explores the evolution of surface temperatures as the sun heats the Earth and fuels cloud formation in the tropics and along baroclinic zones; the presence of water vapor and precipitation within these global weather patterns; the dispersion of global aerosols from dust, biomass burning, fossil fuel emissions, and volcanoes; and the winds that transport these aerosols from the surface to upper-levels.The full GEOS-5 simulation covered 2 years—from May 2005 to May 2007. It ran on 3,750 processors of the Discover supercomputer at the NASA Center for Climate Simulation, consuming 3 million processor hours and producing over 400 terabytes of data. GEOS-5 development is funded by NASA's Modeling, Analysis, and Prediction Program. || ",
            "hits": 130
        },
        {
            "id": 4042,
            "url": "https://svs.gsfc.nasa.gov/4042/",
            "result_type": "Visualization",
            "release_date": "2013-02-12T11:00:00-05:00",
            "title": "Freshwater Losses In The Middle East",
            "description": "The visualization shows variations in total water storage from normal, in millimeters, in the Tigris and Euphrates river basins, as measured by NASA's Gravity Recovery and Climate Experiment (GRACE) satellites, from January 2003 through December 2009. Reds represent drier conditions, while blues represent wetter conditions. The effects of the seasons are evident, as is the major drought that hit the region in 2007. The majority of the water lost was due to reductions in groundwater caused by human activities. By periodically measuring gravity regionally, GRACE tells scientists how much water storage changes over time. || ",
            "hits": 148
        },
        {
            "id": 3623,
            "url": "https://svs.gsfc.nasa.gov/3623/",
            "result_type": "Visualization",
            "release_date": "2009-08-12T00:00:00-04:00",
            "title": "Groundwater Depletion in India Revealed by GRACE",
            "description": "Scientists using data from NASA's Gravity Recovery and Climate Experiment (GRACE) have found that the groundwater beneath Northern India has been receding by as much as one foot per year over the past decade. After examining many environmental and climate factors, the team of hydrologists led by Matt Rodell of NASA's Goddard Space Flight Center, Greenbelt, Md. concluded that the loss is almost entirely due to human consumption.Groundwater comes from the natural percolation of precipitation and other surface waters down through Earth's soil and rock, accumulating in aquifers - cavities and layers of porous rock, gravel, sand, or clay. In some subterranean reservoirs, the water may be thousands to millions of years old; in others, water levels decline and rise again naturally each year. Groundwater levels do not respond to changes in weather as rapidly as lakes, streams, and rivers do. So when groundwater is pumped for irrigation or other uses, recharge to the original levels can take months or years. More than 109 cubic km (26 cubic miles) of groundwater disappeared from the region's aquifers between 2002 and 2008 — double the capacity of India's largest surface water reservoir, the Upper Wainganga, and triple that of Lake Mead, the largest manmade reservoir in the U.S. The animation shown here depicts the change in groundwater levels as measured each November between 2002 to 2008. || ",
            "hits": 206
        },
        {
            "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": 40
        },
        {
            "id": 3477,
            "url": "https://svs.gsfc.nasa.gov/3477/",
            "result_type": "Visualization",
            "release_date": "2008-04-21T08:00:00-04:00",
            "title": "Chesapeake Bay Watershed Region (short version)",
            "description": "The watershed that drains into the Chesapeake Bay is a huge expanse that extends 64,000 miles into five states across North America (New York, Pensylvania, Maryland, Delaware, 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 contains just the last part of the  Chesapeake Bay Flyover and Watershed Region (#3472) animation and demonstrates the entire Watershed without the Chesapeake Bay flyover. This animation highlights and labels each subwatershed in turn. 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": 47
        }
    ]
}