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    "results": [
        {
            "id": 13519,
            "url": "https://svs.gsfc.nasa.gov/13519/",
            "result_type": "Produced Video",
            "release_date": "2020-01-14T10:00:00-05:00",
            "title": "NASA’s IMPACTS Campaign Seeks to Decode East Coast Winter Storms",
            "description": "Complete transcript available.This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by pond5.com and Artbeats is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Music: \"Snowfall\" by Andy Blythe [PRS], Marten Joustra [PRS], \"Snow Blanket\" by Benjamin James Parsons [PRS] || IMPACTS_Image.jpg (1920x1080) [868.0 KB] || IMPACTS_Image_print.jpg (1024x576) [338.0 KB] || IMPACTS_Image_searchweb.png (320x180) [127.1 KB] || IMPACTS_Image_web.png (320x180) [127.1 KB] || IMPACTS_Image_thm.png (80x40) [8.3 KB] || IMPACTS_Final.webm (960x540) [47.1 MB] || IMPACTS_Final.mp4 (1920x1080) [273.8 MB] || IMPACTS_Final_EN.us.en_US.srt [3.2 KB] || IMPACTS_Final_EN.us.en_US.vtt [3.2 KB] || IMPACTS_Final.mov (1920x1080) [1.9 GB] || ",
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        },
        {
            "id": 13474,
            "url": "https://svs.gsfc.nasa.gov/13474/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T15:00:00-05:00",
            "title": "Operation IceBridge - Western Greenland",
            "description": "NASA’s Operation IceBridge images Earth’s polar ice in unprecedented detail to better understand processes that connect the polar regions with the global climate system. IceBridge utilizes a highly specialized fleet of research aircraft and the most sophisticated suite of innovative science instruments ever assembled to characterize annual changes in thickness of sea ice, glaciers, and ice sheets. In addition, IceBridge collects critical data used to predict the response of earth’s polar ice to climate change and resulting sea-level rise.In 2019, IceBridge was based out of Kangerlussuaq in western Greenland, surveying both sea ice and land ice. Flight lines include survey lines over the Jakobshavn and Kangerlussuaq glaciers, as well as surveyed several IceSat2 ground tracks in southern Greenland. The flights also revealed a startling amount of early spring melt ponds on Greenland's ice sheet. || ",
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        },
        {
            "id": 13437,
            "url": "https://svs.gsfc.nasa.gov/13437/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T14:00:00-05:00",
            "title": "Operation IceBridge - Arctic NOAA Flights",
            "description": "In Spring of 2016, Operation IceBridge conducted its eight spring Arctic survey of polar ice over the course of five weeks. Six research flights studying sea ice were based in Thule, Greenland, while ten that focused on land ice flew out of Kangerlussuaq in southern Greenland.For the survey, the crew utilized National Oceanic and Atmospheric Administration’s P-3 Orion Hurricane Hunter plane. NASA's Wallops Flight Facility in Virginia provided the laser altimeter and one of the infrared cameras on the P-3. IceBridge's three radar instruments came from the Center for Remote Sensing of Ice Sheets at the University of Kansas, while NASA's Ames Research Center at Moffett Field, California, provided the Digital Mapping System, and the University of Colorado loaned the second infrared camera.During this campaign the IceBridge aircraft flew under the path of Sentinel-3A, a recently launched ESA satellite that carries a radar altimeter that gauges sea ice thickness. Scientists will compare the Sentinel-3A measurements to the data IceBridge collected over the same spots with its radar and laser altimeters. This comparison will help validate and refine Sentinel-3A’s data gathering. || ",
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        },
        {
            "id": 13454,
            "url": "https://svs.gsfc.nasa.gov/13454/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T14:00:00-05:00",
            "title": "Operation IceBridge - P3 Cockpit Arctic Campaign",
            "description": "B-roll of cockpit operations of P3-Orion aircraft. Filmed during the 2018 Arctic campaign. NOTE: The audio on this clip varies widely and includes loud aircraft noise. We advise turning down/off sound when previewing this item. || 13454_iPhone_2018_Cockpit.mov.00_13_02_03.Still001_print.jpg (1024x576) [273.9 KB] || 13454_iPhone_2018_Cockpit.mov.00_13_02_03.Still001.jpg (3840x2160) [1.8 MB] || 13454_iPhone_2018_Cockpit.mov.00_13_02_03.Still001_searchweb.png (320x180) [135.0 KB] || 13454_iPhone_2018_Cockpit.mov.00_13_02_03.Still001_web.png (320x180) [135.0 KB] || 13454_iPhone_2018_Cockpit.mov.00_13_02_03.Still001_thm.png (80x40) [9.1 KB] || YOUTUBE_1080_13454_iPhone_2018_Cockpit_youtube_1080.mp4 (1920x1080) [53.6 MB] || 13454_iPhone_2018_Cockpit.webm (960x540) [15.3 MB] || 13454_iPhone_2018_Cockpit.mov (3840x2160) [3.3 GB] || ",
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        },
        {
            "id": 13455,
            "url": "https://svs.gsfc.nasa.gov/13455/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T14:00:00-05:00",
            "title": "Operation IceBridge - P3 Taxi and Takeoff in Thule, Greenland",
            "description": "B-roll collection of 4K footage of P3-Orion at Thule Air Base. Filmed during the 2017 Arctic campaign. NOTE: The audio on this clip varies widely and includes loud aircraft noise. We advise turning down/off sound when previewing this item. || 13455_4K_P3_2017_TakeOffLandTaxi.mov.00_11_36_18.Still001_print.jpg (1024x576) [207.5 KB] || 13455_4K_P3_2017_TakeOffLandTaxi.mov.00_11_36_18.Still001.jpg (3840x2160) [2.0 MB] || 13455_4K_P3_2017_TakeOffLandTaxi.mov.00_11_36_18.Still001_searchweb.png (320x180) [103.9 KB] || 13455_4K_P3_2017_TakeOffLandTaxi.mov.00_11_36_18.Still001_web.png (320x180) [103.9 KB] || 13455_4K_P3_2017_TakeOffLandTaxi.mov.00_11_36_18.Still001_thm.png (80x40) [7.5 KB] || YOUTUBE_1080_13455_4K_P3_2017_TakeOffLandTaxi_youtube_1080.mp4 (1920x1080) [523.8 MB] || 13455_4K_P3_2017_TakeOffLandTaxi.webm (960x540) [135.9 MB] || 13455_4K_P3_2017_TakeOffLandTaxi.mov (3840x2160) [15.5 GB] || ",
            "hits": 33
        },
        {
            "id": 13456,
            "url": "https://svs.gsfc.nasa.gov/13456/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T14:00:00-05:00",
            "title": "Operation IceBridge - P3 on Runway in Thule, Greenland",
            "description": "NASA's P-3 is a four-engine turboprop based out of Wallops and capable of long duration flights of 8-12 hours. It is supporting the same suite of IceBridge instruments flown in the past IceBridge Arctic and Antarctic campaigns. || ",
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        },
        {
            "id": 13473,
            "url": "https://svs.gsfc.nasa.gov/13473/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T14:00:00-05:00",
            "title": "Operation IceBridge - Svalbard",
            "description": "In its ninth year, Operation IceBridge operated three missions out of a base in Svalbard, Norway. The expanded reach across the Arctic Basin provided critical data to IceBridge's scientific mission. || ",
            "hits": 29
        },
        {
            "id": 13477,
            "url": "https://svs.gsfc.nasa.gov/13477/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T14:00:00-05:00",
            "title": "Operation IceBridge - Spring Svalbard Sea Ice",
            "description": "On April 7, 2017, Operation IceBridge flew the distinct Zig Zag East mission. This flight started in the rugged fjords of Svalbard, passed over hundreds of miles of sea ice en route to the North Pole, flew through the narrow Nares Strait, and finally returned the team back to Thule Air Base in Greenland. The clip below shows dramatic sea ice encountered north of Svalbard as the mission prepard to cross the Fram Strait (the primary pathway that sea ice from the Arctic Basin gets out to warmer ocean). This type of sea ice is commonly referred to as broken pack ice. || ",
            "hits": 23
        },
        {
            "id": 13478,
            "url": "https://svs.gsfc.nasa.gov/13478/",
            "result_type": "Produced Video",
            "release_date": "2019-12-09T14:00:00-05:00",
            "title": "Operation IceBridge - Thule Ice Sheet Scenics",
            "description": "Frozen sea ice outside of the Thule Air Base in Greenland provided project scientists a chance to get up close to locked icebergs and other features. || ",
            "hits": 30
        },
        {
            "id": 3619,
            "url": "https://svs.gsfc.nasa.gov/3619/",
            "result_type": "Visualization",
            "release_date": "2009-09-01T18:00:00-04:00",
            "title": "A Tour of the Cryosphere 2009",
            "description": "The cryosphere consists of those parts of the Earth's surface where water is found in solid form, including areas of snow, sea ice, glaciers, permafrost, ice sheets, and icebergs. In these regions, surface temperatures remain below freezing for a portion of each year. Since ice and snow exist relatively close to their melting point, they frequently change from solid to liquid and back again due to fluctuations in surface temperature. Although direct measurements of the cryosphere can be difficult to obtain due to the remote locations of many of these areas, using satellite observations scientists monitor changes in the global and regional climate by observing how regions of the Earth's cryosphere shrink and expand.This animation portrays fluctuations in the cryosphere through observations collected from a variety of satellite-based sensors. The animation begins in Antarctica, showing some unique features of the Antarctic landscape found nowhere else on earth. Ice shelves, ice streams, glaciers, and the formation of massive icebergs can be seen clearly in the flyover of the Landsat Image Mosaic of Antarctica. A time series shows the movement of iceberg B15A, an iceberg 295 kilometers in length which broke off of the Ross Ice Shelf in 2000. Moving farther along the coastline, a time series of the Larsen ice shelf shows the collapse of over 3,200 square kilometers ice since January 2002. As we depart from the Antarctic, we see the seasonal change of sea ice and how it nearly doubles the apparent area of the continent during the winter.From Antarctica, the animation travels over South America showing glacier locations on this mostly tropical continent. We then move further north to observe daily changes in snow cover over the North American continent. The clouds show winter storms moving across the United States and Canada, leaving trails of snow cover behind. In a close-up view of the western US, we compare the difference in land cover between two years: 2003 when the region received a normal amount of snow and 2002 when little snow was accumulated. The difference in the surrounding vegetation due to the lack of spring melt water from the mountain snow pack is evident.As the animation moves from the western US to the Arctic region, the areas affected by permafrost are visible. As time marches forward from March to September, the daily snow and sea ice recede and reveal the vast areas of permafrost surrounding the Arctic Ocean.The animation shows a one-year cycle of Arctic sea ice followed by the mean September minimum sea ice for each year from 1979 through 2008. The superimposed graph of the area of Arctic sea ice at this minimum clearly shows the dramatic decrease in Artic sea ice over the last few years.While moving from the Arctic to Greenland, the animation shows the constant motion of the Arctic polar ice using daily measures of sea ice activity. Sea ice flows from the Arctic into Baffin Bay as the seasonal ice expands southward. As we draw close to the Greenland coast, the animation shows the recent changes in the Jakobshavn glacier. Although Jakobshavn receded only slightly from 1964 to 2001, the animation shows significant recession from 2001 through 2009. As the animation pulls out from Jakobshavn, the effect of the increased flow rate of Greenland costal glaciers is shown by the thinning ice shelf regions near the Greenland coast.This animation shows a wealth of data collected from satellite observations of the cryosphere and the impact that recent cryospheric changes are making on our planet.For more information on the data sets used in this visualization, visit NASA's EOS DAAC website.Note: This animation is an update of the animation 'A Short Tour of the Cryosphere', which is itself an abridged version of the animation 'A Tour of the Cryosphere'. The popularity of the earlier animations and their continuing relevance prompted us to update the datasets in parts of the animation and to remake it in high definition. In certain cases, our experiences in using the earlier work have led us to tweak the presentation of some of the material to make it clearer. Our thanks to Dr. Robert Bindschadler for suggesting and supporting this remake. || ",
            "hits": 48
        },
        {
            "id": 3373,
            "url": "https://svs.gsfc.nasa.gov/3373/",
            "result_type": "Visualization",
            "release_date": "2006-09-30T00:00:00-04:00",
            "title": "Zoom from Jakobshavn Glacier with AMSR-E Daily Sea Ice and MODIS Daily Snow Cover",
            "description": "Beginning from a view of Greenland's Jakobshavn glacier, this animation shows motion of sea ice and snow cover over the Arctic from 10/1/2002 through 6/23/2003 as the camera pulls out to frame the full globe. The false color of the sea ice is derived from the AMSR-E 6.25 km brightness temperature. The sea ice extent is defined by AMSR-E 12.5 km sea ice concentration, identifying all regions having a sea ice concentration of greater than 15%. Because AMSR-E is a passive microwave sensor that functions independently from atmospheric effects, this sensor is able to observe the entire polar region every day, even through clouds and snowfalls. || ",
            "hits": 19
        },
        {
            "id": 3355,
            "url": "https://svs.gsfc.nasa.gov/3355/",
            "result_type": "Visualization",
            "release_date": "2006-05-20T23:55:00-04:00",
            "title": "A Short Tour of the Cryosphere",
            "description": "A newer version of this animation is available here.This narrated, 5-minute animation shows a wealth of data collected from satellite observations of the cryosphere and the impact that recent cryospheric changes are making on our planet. This is a shorter version of a narrated, 7 1/2 minute animation entitled  'A Tour of the Cryosphere'.See the above link for a detailed description of the full animation.Two sections have been removed from the original animation: one showing a flyby of the South Pole station and glaciers feeding the Ross Ice Shelf and one showing solar data related to the Earth's energy balance.For more information on the data sets used in this visualization, visit NASA's EOS DAAC website. || ",
            "hits": 42
        },
        {
            "id": 3181,
            "url": "https://svs.gsfc.nasa.gov/3181/",
            "result_type": "Visualization",
            "release_date": "2005-12-04T23:55:00-05:00",
            "title": "A Tour of the Cryosphere",
            "description": "A new HD version of this animation is available here.Click here to go to the media download section.The cryosphere consists of those parts of the Earth's surface where water is found in solid form, including areas of snow, sea ice, glaciers, permafrost, ice sheets, and icebergs. In these regions, surface temperatures remain below freezing for a portion of each year. Since ice and snow exist relatively close to their melting point, they frequently change from solid to liquid and back again due to fluctuations in surface temperature. Although direct measurements of the cryosphere can be difficult to obtain due to the remote locations of many of these areas, using satellite observations scientists monitor changes in the global and regional climate by observing how regions of the Earth's cryosphere shrink and expand.This animation portrays fluctuations in the cryosphere through observations collected from a variety of satellite-based sensors. The animation begins in Antarctica, showing ice thickness ranging from 2.7 to 4.8 kilometers thick along with swaths of polar stratospheric clouds. In a tour of this frozen continent, the animation shows some unique features of the Antarctic landscape found nowhere else on earth. Ice shelves, ice streams, glaciers, and the formation of massive icebergs can be seen. A time series shows the movement of iceberg B15A, an iceberg 295 kilometers in length which broke off of the Ross Ice Shelf in 2000. Moving farther along the coastline, a time series of the Larsen ice shelf shows the collapse of over 3,200 square kilometers ice since January 2002. As we depart from the Antarctic, we see the seasonal change of sea ice and how it nearly doubles the size of the continent during the winter.From Antarctica, the animation travels over South America showing areas of permafrost over this mostly tropical continent. We then move further north to observe daily changes in snow cover over the North American continent. The clouds show winter storms moving across the United States and Canada, leaving trails of snow cover behind. In a close-up view of the western US, we compare the difference in land cover between two years: 2003 when the region received a normal amount of snow and 2002 when little snow was accumulated. The difference in the surrounding vegetation due to the lack of spring melt water from the mountain snow pack is evident.As the animation moves from the western US to the Arctic region, the areas effected by permafrost are visible. In December, we see how the incoming solar radiation primarily heats the Southern Hemisphere. As time marches forward from December to June, the daily snow and sea ice recede as the incoming solar radiation moves northward to warm the Northern Hemisphere.Using satellite swaths that wrap the globe, the animation shows three types of instantaneous measurements of solar radiation observed on June 20, 2003: shortwave (reflected) radiation, longwave (thermal) radiation and net flux (showing areas of heating and cooling). Correlation between reflected radiation and clouds are evident. When the animation fades to show the monthly global average net flux, we see that the polar regions serve to cool the global climate by radiating solar energy back into space throughout the year.The animation shows a one-year cycle of the monthly average Arctic sea ice concentration followed by the mean September minimum sea ice for each year from 1979 through 2004. A red outline indicates the mean sea ice extent for September over 22 years, from 1979 to 2002. The minimum Arctic sea ice animation clearly shows how over the last 5 years the quantity of polar ice has decreased by 10 - 14% from the 22 year average.While moving from the Arctic to Greenland, the animation shows the constant motion of the Arctic polar ice using daily measures of sea ice activity. Sea ice flows from the Arctic into Baffin Bay as the seasonal ice expands southward. As we draw close to the Greenland coast, the animation shows the recent changes in the Jakobshavn glacier. Although Jakobshavn receded only slightly from 1042 to 2001, the animation shows significant recession over the past three years, from 2002 through 2004.This animation shows a wealth of data collected from satellite observations of the cryosphere and the impact that recent cryospheric changes are making on our planet.For more information on the data sets used in this visualization, visit NASA's EOS DAAC website. || ",
            "hits": 131
        },
        {
            "id": 2280,
            "url": "https://svs.gsfc.nasa.gov/2280/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Europe",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.  These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard on NASA's Terra satellite.  The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data.  Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week.  Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands.  Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps.  The data product is available at http://edcdaac.nasa.gov. || ",
            "hits": 20
        },
        {
            "id": 2281,
            "url": "https://svs.gsfc.nasa.gov/2281/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of South America",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 54
        },
        {
            "id": 2282,
            "url": "https://svs.gsfc.nasa.gov/2282/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Asia",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. The data product is available at http://edcdaac.nasa.gov. || ",
            "hits": 49
        },
        {
            "id": 2283,
            "url": "https://svs.gsfc.nasa.gov/2283/",
            "result_type": "Visualization",
            "release_date": "2001-11-17T12:00:00-05:00",
            "title": "MODIS Land Cover of Australia",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 29
        },
        {
            "id": 2264,
            "url": "https://svs.gsfc.nasa.gov/2264/",
            "result_type": "Visualization",
            "release_date": "2001-09-26T12:00:00-04:00",
            "title": "Global MODIS Land Cover",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas. These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging -Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 82
        },
        {
            "id": 2265,
            "url": "https://svs.gsfc.nasa.gov/2265/",
            "result_type": "Visualization",
            "release_date": "2001-09-26T12:00:00-04:00",
            "title": "North America and Central America MODIS Land Cover",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas. These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging -Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
            "hits": 49
        },
        {
            "id": 2266,
            "url": "https://svs.gsfc.nasa.gov/2266/",
            "result_type": "Visualization",
            "release_date": "2001-09-26T12:00:00-04:00",
            "title": "MODIS Land Cover of Africa",
            "description": "New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use.  These new maps, based on a global digital database of land cover types that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget, through closer monitoring of water and land resources, including forested and agricultural areas. These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging -Spectroradiometer (MODIS) instrument aboard on NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000, but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date.  They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was previously possible, reducing the time to generate maps from months or years to about one week.Each MODIS land cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps. || ",
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    ]
}