{
    "count": 6,
    "next": null,
    "previous": null,
    "results": [
        {
            "id": 30373,
            "url": "https://svs.gsfc.nasa.gov/30373/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Daytime Land-Surface Temperature",
            "description": "Scientists monitor land-surface temperature because the warmth rising off Earth's landscapes influences our world's weather and climate patterns. Likewise, land surface temperature is also influenced by changes in weather and climate patterns. These maps show monthly daytime land-surface temperatures from February 2000 to the present using thermal infrared measurements made by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The measurements shown here represent the temperature of the \"skin\" (or top 1 millimeter) of the land surface during the daytime—including bare land, snow or ice cover, and cropland or forest canopy—and should not be confused with surface air temperature measurements that are given in a typical weather reports. Yellow shows the warmest temperatures (up to 45 degrees Celsius) and light blue shows the coldest temperatures (down to -25 degrees Celsius). Black means no data. || ",
            "hits": 84
        },
        {
            "id": 30374,
            "url": "https://svs.gsfc.nasa.gov/30374/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Nighttime Land Surface Temperature",
            "description": "Scientists monitor land-surface temperature because the warmth rising off Earth's landscapes influences our world's weather and climate patterns. Likewise, land surface temperature is also influenced by changes in weather and climate patterns. These maps show monthly nighttime land-surface temperatures from February 2000 to the present using thermal infrared measurements made by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA's Terra satellite. The measurements shown here represent the temperature of the \"skin\" (or top 1 millimeter) of the land surface during the nighttime—including bare land, snow or ice cover, and cropland or forest canopy—and should not be confused with surface air temperature measurements that are given in a typical weather reports. Yellow shows the warmest temperatures (up to 45 degrees Celsius) and light blue shows the coldest temperatures (down to -25 degrees Celsius). Black means no data. || ",
            "hits": 57
        },
        {
            "id": 30389,
            "url": "https://svs.gsfc.nasa.gov/30389/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Daytime Land Temperature Anomaly",
            "description": "Land-surface temperature is how hot the surface of the Earth would feel to touch. From a satellite’s perspective, the “surface” is whatever it sees when it looks through the atmosphere to the ground. It could be snow and ice, the grass, a rooftop, or the treetops in a forest. An anomaly is when something is different from normal, or average. These maps show monthly daytime land-surface-temperature anomalies from March 2000 to the present, compared to the average monthly temperatures from 2001-2010 as derived using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Terra satellite. Places that are warmer than average are red, places that are near-normal are white, and places that are cooler than average are blue. Black means there is no data. Some land-surface-temperature anomalies are simply transient weather phenomena, not part of a specific pattern or trend. Others anomalies are more meaningful. Widespread cold anomalies may be an indication of a harsh winter with lots of snow on the ground. Isolated warm (daytime) anomalies that appear in forests or other natural ecosystems may indicate deforestation or insect damage. Many urban areas also show up as hot spots in these maps because developed areas are often warmer in the daytime than surrounding natural ecosystem or farmland. || ",
            "hits": 49
        },
        {
            "id": 30390,
            "url": "https://svs.gsfc.nasa.gov/30390/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Nighttime Land Temperature Anomaly",
            "description": "Land-surface temperature is how hot the surface of the Earth would feel to touch. From a satellite’s perspective, the “surface” is whatever it sees when it looks through the atmosphere to the ground. It could be snow and ice, the grass, a rooftop, or the treetops in a forest. An anomaly is when something is different from normal, or average. These maps show monthly nighttime land-surface-temperature anomalies from March 2000 to the present, compared to the average monthly temperatures from 2001-2010 as derived using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Terra satellite. Places that are warmer than average are red, places that are near-normal are white, and places that are cooler than average are blue. Black means there is no data. Some land-surface-temperature anomalies are simply transient weather phenomena, not part of a specific pattern or trend. Others anomalies are more meaningful. Widespread cold anomalies may be an indication of a harsh winter with lots of snow on the ground. Many urban areas show up as hot spots in these maps because developed areas are often warmer at night than surrounding natural ecosystem or farmland. || ",
            "hits": 51
        },
        {
            "id": 3766,
            "url": "https://svs.gsfc.nasa.gov/3766/",
            "result_type": "Visualization",
            "release_date": "2010-09-28T00:00:00-04:00",
            "title": "2007 Greenland Melt Season Study - Stereoscopic Version",
            "description": "The Greenland ice sheet has been the focus of attention recently because of increasing melt in response to regional climate change. Several different remote sensing data products have been used to study surface and near-surface melt characteristics of the Greenland ice sheet for the 2007 melt season when record melt extent and runoff occurred. Here, MODIS daily land surface temperature and a special diurnal melt product, derived from QuikSCAT scatterometer data, measure the evolution of melt on the ice sheet. Although these daily products are sensitive to different geophysical features, they show excellent correspondence when surface melt is present. This animation displays these two geophysical data products of the Greenland ice sheet side-by-side, showing MODIS data on the left side and QuikSCAT data on the right. The 2007 melt season is shown twice. In the first sequence, MODIS surface temperature is compared with several categories of QuikSCAT melt between March 15th and October 13th, 2010. During this sequence, active melt detected by QuikSCAT is shown in light blue, reduced melt is medium blue, and completed melt is dark blue. For the MODIS, surface temperature is shown with the color scale — red indicates a surface temperature greater than -1 degree Celsius. As MODIS shows warmer surface temperature as the melt season progresses, QuikSCAT consistently identifies the corresponding melt.In the second sequence, the MODIS and QuikSCAT melted regions of the ice sheet were accumulated during the melt season. QuikSCAT captures melt earlier, and then melt is detected by MODIS shortly afterward at a higher spatial resolution. The final result (frame) shows the seasonal melt extent which was consistently delineated by both sensors. The cross-verification of these independent measurements, by two different instruments on different satellites, provides a higher confidence level in the melt observations, reducing the uncertainty in climate assessment of Greenland melt.This visualization is a stereoscopic version of animation entry:  #3738: 2007 Greenland Melt Season Study. In this page the visualization content is offered in two different modes to accommodate stereoscopic systems, such as: Left and Right Eye separate and Left and Right Eye side-by-side combined on the same frame. || ",
            "hits": 68
        },
        {
            "id": 3738,
            "url": "https://svs.gsfc.nasa.gov/3738/",
            "result_type": "Visualization",
            "release_date": "2010-07-23T00:00:00-04:00",
            "title": "2007 Greenland Melt Season Study",
            "description": "The Greenland ice sheet has been the focus of attention recently because of increasing melt in response to regional climate change. Several different remote sensing data products have been used to study surface and near-surface melt characteristics of the Greenland ice sheet for the 2007 melt season when record melt extent and runoff occurred. Here, MODIS daily land surface temperature and a special diurnal melt product, derived from QuikSCAT scatterometer data, measure the evolution of melt on the ice sheet. Although these daily products are sensitive to different geophysical features, they show excellent correspondence when surface melt is present. This animation displays these two geophysical data products of the Greenland ice sheet side-by-side, showing MODIS data on the left side and QuikSCAT data on the right. The 2007 melt season is shown twice. In the first sequence, MODIS surface temperature is compared with several categories of QuikSCAT melt between March 15th and October 13th, 2010. During this sequence, active melt detected by QuikSCAT is shown in light blue, reduced melt is medium blue, and completed melt is dark blue. For the MODIS, surface temperature is shown with the color scale — red indicates a surface temperature greater than -1 degree Celsius. As MODIS shows warmer surface temperature as the melt season progresses, QuikSCAT consistently identifies the corresponding melt.In the second sequence, the MODIS and QuikSCAT melted regions of the ice sheet were accumulated during the melt season. QuikSCAT captures melt earlier, and then melt is detected by MODIS shortly afterward at a higher spatial resolution. The final result (frame) shows the seasonal melt extent which was consistently delineated by both sensors. The cross-verification of these independent measurements, by two different instruments on different satellites, provides a higher confidence level in the melt observations, reducing the uncertainty in climate assessment of Greenland melt. || ",
            "hits": 62
        }
    ]
}