{ "count": 15, "next": null, "previous": null, "results": [ { "id": 31121, "url": "https://svs.gsfc.nasa.gov/31121/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Lighting Paths Across the United States", "description": "VIIRS DNB compared with a map of major highways, railways, and rivers || lighting-paths_00000_print.jpg (1024x576) [94.3 KB] || lighting-paths_00000_searchweb.png (320x180) [57.1 KB] || lighting-paths_00000_thm.png (80x40) [4.8 KB] || lighting-paths_1080p30.mp4 (1920x1080) [8.8 MB] || lighting-paths_1080p30.webm (1920x1080) [2.3 MB] || lighting-paths_2160p30.mp4 (3840x2160) [32.2 MB] || 3840x2160_16x9_30p (3840x2160) [64.0 KB] || ", "hits": 71 }, { "id": 31129, "url": "https://svs.gsfc.nasa.gov/31129/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Bursting with Holiday Energy—United States", "description": "changes in light intensity || HolidayLightsUnitedStates_print.jpg (1024x576) [153.3 KB] || HolidayLightsUnitedStates.png (5760x3240) [11.1 MB] || HolidayLightsUnitedStates_searchweb.png (320x180) [93.6 KB] || HolidayLightsUnitedStates_thm.png (80x40) [6.9 KB] || bursting-with-holiday-energyunited-states.hwshow [315 bytes] || ", "hits": 28 }, { "id": 4015, "url": "https://svs.gsfc.nasa.gov/4015/", "result_type": "Visualization", "release_date": "2012-12-05T00:00:00-05:00", "title": "Drought 2010-2012", "description": "The Evaporative Stress Index (ESI) provides objective, high-resolution information about the evaporation of water from land surface. The ESI model combines satellite data with other meteorological factors to determine how much water is used by crops and vegetation. The resulting data helps to detect drought.This visualization shows ESI data for 2010, 2011, and 2012. 2010 was a relatively wet year despite occasional drought. In 2011, the ESI shows extremely dry conditions across all of Texas, Louisiana, and Oklahoma, tracking one of the country's most devastating droughts. In 2012, the ESI shows plant stress in the Corn Belt region as early as May. These warning signs later developed into a full drought that impacted the world's corn and soy been supply.The kind of early-warning detection system ESI provides will enhance the US arsenal of drought monitoring tools and help farmers adapt to drought before it evolves. || ", "hits": 33 }, { "id": 3291, "url": "https://svs.gsfc.nasa.gov/3291/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "National Map Showing Habitat Suitability for Tamarisk Invasion", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data, to create on-demand, regional-scale assessments of invasive species likely habitats.Recent work on the Invasive Species Forecasting System (ISFS) project has shown the importance of remotely-sensed time-series data in geostatistical models for mapping the distribution of Tamarisk and other invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the continental United States. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas, New Mexico, and Nevada are the most highly suitable states. Utah and Arizona have the next greatest risk. California, Arizona, Montana, Colorado, Oregon, Ohio, Wyoming, and Florida also have a significant risk. || ", "hits": 95 }, { "id": 3330, "url": "https://svs.gsfc.nasa.gov/3330/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Creating the Tamarisk Habitat Suitability Map (for General Use)", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats.The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with land cover classification data the likely habitat for Tamarisk can be derived. || ", "hits": 10 }, { "id": 3331, "url": "https://svs.gsfc.nasa.gov/3331/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Creating the Tamarisk Habitat Suitability Map (for Science Presentations)", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER, and commercial remote sensing data, and create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats.The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining daily Normalized Differential Vegetation Index (NDVI), daily Enhanced Vegetation Index (EVI), and MODIS Land Cover Classification data the likely Tamarisk habitat suitability map can be derived. || ", "hits": 12 }, { "id": 3332, "url": "https://svs.gsfc.nasa.gov/3332/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Deriving the Tamarisk Suitability Map: The Complete Story", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. Tamarisk (Salt Ceder) is an invasive plant that typically grows near water and crowds out native species. Tamarisk reflective properties differ from those of its neighboring vegetation throughout the annual life cycle. These different reflective properties can be seen by the naked eye (as in the accompanying seasonal photographs), and can also be seen by satellite sensors. Current Tamarisk infestations and suitable habitats for future growth can be derived from various data sets, including EVI, NDVI, and land cover classifications. || ", "hits": 110 }, { "id": 3152, "url": "https://svs.gsfc.nasa.gov/3152/", "result_type": "Visualization", "release_date": "2005-05-27T12:00:00-04:00", "title": "Urban Signatures: Temperature (WMS)", "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows average surface temperature predicted by the Land Information System (LIS) for a day in June 2001. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ", "hits": 35 }, { "id": 3154, "url": "https://svs.gsfc.nasa.gov/3154/", "result_type": "Visualization", "release_date": "2005-05-27T12:00:00-04:00", "title": "Urban Signatures: Evaporation (WMS)", "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows evaporation rates predicted by the Land Information System (LIS) for a day in June 2001. Evaporation is lower in the cities because water tends to run off pavement and into drains, rather than being absorbed by soil and plants from which it later evaporates. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ", "hits": 131 }, { "id": 3155, "url": "https://svs.gsfc.nasa.gov/3155/", "result_type": "Visualization", "release_date": "2005-05-27T12:00:00-04:00", "title": "Urban Signatures: Thermal Radiation (WMS)", "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows outgoing thermal radiation predicted by the Land Information System (LIS) for a day in June 2001. Cities are warmer, so they emit more longwave (infrared) radiation. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ", "hits": 62 }, { "id": 3156, "url": "https://svs.gsfc.nasa.gov/3156/", "result_type": "Visualization", "release_date": "2005-05-27T12:00:00-04:00", "title": "Urban Signatures: Latent Heat Flux (WMS)", "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows latent heat flux predicted by the Land Information System (LIS) for a day in June 2001. (Latent heat flux refers to the transfer of energy from the Earth's surface to the air above by evaporation of water on the surface; for a more detailed explanation see http://www.uwsp.edu/geo/faculty/ritter/geog101/textbook/energy/energy_balance.html). Latent heat flux is lower in the cities because there is less evaporation there. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ", "hits": 42 }, { "id": 3157, "url": "https://svs.gsfc.nasa.gov/3157/", "result_type": "Visualization", "release_date": "2005-05-27T12:00:00-04:00", "title": "Urban Signatures: Sensible Heat Flux (WMS)", "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows sensible heat flux predicted by the Land Information System (LIS) for a day in June 2001. (Sensible heat flux refers to transfer of heat from the earth's surface to the air above; for further explanation see http://www.uwsp.edu/geo/faculty/ritter/geog101/textbook/energy/energy_balance.html). Sensible heat flux is higher in the cities—that is, they transfer more heat to the atmosphere—because the surface there is warmer than in the surroundings. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ", "hits": 135 }, { "id": 3148, "url": "https://svs.gsfc.nasa.gov/3148/", "result_type": "Visualization", "release_date": "2005-04-26T12:00:00-04:00", "title": "Heavy Rainfall Leads to Southern California Mudslides (WMS)", "description": "In January 2005, heavy rains in southern California caused flooding and mudslides. A flow of moisture known as a 'Pineapple Express' because it originates in the Pacific subtropics near Hawaii can cause severe winter storms in California when conditions are right. NASA's Tropical Rainfall Measuring Mission (TRMM) observered heavy rainfall near San Diego during a five-day period in January 2005. This visualization shows accumulation of rainfall—each frame shows the total amount of rain since the start of the measurement period. || ", "hits": 116 }, { "id": 399, "url": "https://svs.gsfc.nasa.gov/399/", "result_type": "Visualization", "release_date": "1998-11-30T12:00:00-05:00", "title": "Flying along the East Coast of the United States - April 12, 1998", "description": "A flyby from the Gulf of Mexico along the east coast of the United States to the Gulf of St. Lawrence, from a SeaWiFS image taken April 12, 1998 || a000399.00095_print.png (720x480) [721.8 KB] || a000399_thm.png (80x40) [6.9 KB] || a000399_pre.jpg (320x238) [15.9 KB] || a000399_pre_searchweb.jpg (320x180) [88.3 KB] || a000399.webmhd.webm (960x540) [44.1 MB] || a000399.dv (720x480) [623.6 MB] || a000399.mp4 (640x480) [35.9 MB] || a000399.mpg (352x240) [23.9 MB] || ", "hits": 41 }, { "id": 405, "url": "https://svs.gsfc.nasa.gov/405/", "result_type": "Visualization", "release_date": "1998-11-30T12:00:00-05:00", "title": "US Tour with SeaWiFS data from April 12, 1998", "description": "Flying around the United States. Starting at the Gulf of Mexico, we move up the Mississippi River, around the Great Lakes, over to Maine, down the Eastern Seaboard, ending with Florida. Data was collected on April 12, 1998. || ", "hits": 37 } ] }