{
    "count": 4,
    "next": null,
    "previous": null,
    "results": [
        {
            "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": 21
        },
        {
            "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": 31
        },
        {
            "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": 11
        },
        {
            "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": 15
        }
    ]
}