{
    "count": 7,
    "next": null,
    "previous": null,
    "results": [
        {
            "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": 99
        },
        {
            "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": 24
        },
        {
            "id": 30059,
            "url": "https://svs.gsfc.nasa.gov/30059/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-07-10T09:00:00-04:00",
            "title": "Mountaintop Mining, West Virginia",
            "description": "These images illustrate the growth of the Hobet mine in Boone County, WV as it moves from ridge to ridge between 1984 and 2015. The natural forested landscape appears dark green, creased by steams and indented by hollows. Active mining areas, however, appear off-white and areas being reclaimed with vegetation appear light green. The law requires coal operators to restore the land to its approximate original shape, but the rock debris generally can’t be securely piled as high or graded as steeply as the original mountaintop. There is always too much rock left over, and coal companies dispose of it by building valley fills in hollows, gullies, and streams. While the image from 2015 shows apparent green-up of restored lands, it also shows expanded operations in the west. The resulting impacts to stream biodiversity, forest health, and ground-water quality are high, and may be irreversible. || ",
            "hits": 23
        },
        {
            "id": 30053,
            "url": "https://svs.gsfc.nasa.gov/30053/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-06-25T13:00:00-04:00",
            "title": "Dead Sea Salt Farming",
            "description": "The Dead Sea is so named because its high salinity discourages the growth of fish, plants, and other wildlife. It is the lowest surface feature on Earth, sitting roughly 1,300 feet below sea level. On a hot, dry summer day, the water level can drop as much as one inch because of evaporation. These three false-color images were captured in 1972, 1989, and 2011 by Landsat satellites. Deep waters are blue or dark blue, while brighter blues indicate shallow waters or salt ponds. Green indicates sparsely vegetated lands. Denser vegetation appears bright red. The ancient Egyptians used salts from the Dead Sea for mummification, fertilizers, and potash (a potassium-based salt). In the modern age, sodium chloride and potassium salts culled from the sea are used for water conditioning, road de-icing, and the manufacturing of polyvinyl chloride (PVC) plastics. The expansions of massive salt evaporation projects are clearly visible over the span of 39 years. || ",
            "hits": 147
        },
        {
            "id": 10633,
            "url": "https://svs.gsfc.nasa.gov/10633/",
            "result_type": "Produced Video",
            "release_date": "2010-08-24T07:00:00-04:00",
            "title": "Katrina Retrospective: 5 Years After the Storm",
            "description": "On August 29, 2005, Hurricane Katrina made landfall along the Gulf Coast. Five years later, NASA revisits the storm with a short video that shows Katrina as captured by satellites. Before and during the hurricane's landfall, NASA provided data gathered from a series of Earth observing satellites to help predict Katrina's path and intensity. In its aftermath, NASA satellites also helped identify areas hardest hit.For complete transcript, click here. || G2010-104_Hurricane_Katrina_appleTV.00427_print.jpg (1024x576) [144.4 KB] || G2010-104_Hurricane_Katrina_appleTV_web.png (320x180) [295.6 KB] || G2010-104_Hurricane_Katrina_appleTV_thm.png (80x40) [17.7 KB] || G2010-104_Hurricane_Katrina_appleTV.m4v (960x540) [144.9 MB] || G2010-104_Hurricane_Katrina.wmv (1280x720) [90.1 MB] || G2010-104_Hurricane_Katrina_youtube_hq.mov (1280x720) [203.1 MB] || G2010-104_Hurricane_Katrina_prores.mov (1280x720) [3.0 GB] || G2010-104_Hurricane_Katrina_appleTV.webmhd.webm (960x540) [43.9 MB] || G2010-104_Hurricane_Katrina_ipod_lg.m4v (640x360) [55.8 MB] || G2010-104_Hurricane_Katrina_portal.mov (640x360) [119.5 MB] || G2010-104_Hurricane_Katrina_nasacast.m4v (320x240) [25.5 MB] || G2010-104_Hurricane_Katrina_SVS.mpg (512x288) [27.6 MB] || ",
            "hits": 73
        },
        {
            "id": 10207,
            "url": "https://svs.gsfc.nasa.gov/10207/",
            "result_type": "Produced Video",
            "release_date": "2008-04-20T12:00:00-04:00",
            "title": "NASA Satellites Aid in Chesapeake Bay Recovery",
            "description": "From the distant reaches of the Universe, to black holes, and the Martian surface, NASA explores some of the most far out parts of space. But NASA also does research much closer to home. In fact, NASA Earth Science satellites are taking part in the management and recovery of an ecosystem right in our backyard, the Chesapeake Bay. || ",
            "hits": 12
        },
        {
            "id": 2472,
            "url": "https://svs.gsfc.nasa.gov/2472/",
            "result_type": "Visualization",
            "release_date": "2002-06-26T12:00:00-04:00",
            "title": "Baltimore Asthma Study",
            "description": "Baltimore, Maryland has one of the highest occurrences of asthma in the country. This study is an attempt to find a geographic correlation with the high asthma findings. The results are derived from hospital admission data throughout all of Maryland. The zipcodes of each patient's home are normalized against each zipcode's population, and mapped per month. Thereby zipcode regions with high incidents of asthma cases are highlighted with bright yellow, where areas with lesser cases have little to no yellow tint. || ",
            "hits": 17
        }
    ]
}