Filters: Tags: multispectral imaging (X) > partyWithName: U.S. Geological Survey, LAND RESOURCES (X)

Filters Date Range Past year (6) Past month (0) Past week (0) Past day (0) Custom range... To   Search Contacts George Z Xian U.S. Geological Survey - ScienceBase Chase Mueller Danny Howard George Z. Xian More... Tag Types Theme (6) Place (6) Tag Schemes Marine Realms Information Bank (MRIB) keywords (6) USGS Thesaurus (6) Common geographic areas (6) ISO 19115 Topic Category (6) None (6) The National Map Product Extent Thesaurus (6) View Results as: JSON ATOM CSV

SUHI Hotspot from MaxLST in persistent urban and new growth urban area of 50 cities of CONUS from 1985 to 2020 Surface Urban Heat Island (SUHI) hotspot data are defined as areas of statistically high land surface temperature (LST). A pixel is determined as statistically high if it exceeds one standard deviation above the mean of all pixels with similar land cover type. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual maximum land surface temperature (MaxLST) – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. The data is further separated into persistent urban and new urban outputs. Persistent Urban is defined as areas that are reported as urban in 1985 and... Tags: CONUS, CONUS, Landsat ARD, Landsat Analysis Ready Data (ARD), United States, All tags... United States, climatologyMeteorologyAtmosphere, environment, heat flow (earth), image collections, land surface temperature (LST), land use change, maximum land surface temperature (MaxLST), multispectral imaging, new growth urban areas (NUA), persistent urban areas (PUA), surface urban heat island (SUHI), surface urban heat island hotspot (SUHIH), Fewer tags Annual land surface urban heat island intensity from 1985 to present (collection 1) Surface Urban Heat Island (SUHI) intensity data is intended to quantify the difference between urban surface temperatures and the surrounding non-urban environment. The calculation takes the difference between a specific urban pixel’s land surface temperature (LST) and the mean of the cities non-urban LST. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual LST – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. NOTE: While a previous version is available from the author, all datasets for pilot cities can be found in version 5..0. Tags: CONUS, CONUS, Landsat ARD, Landsat Analysis Ready Data (ARD), United States, All tags... United States, climatologyMeteorologyAtmosphere, environment, heat flow (earth), image collections, land surface temperature (LST), land use change, maximum land surface temperature (MaxLST), mean land surface temperature (MeanLST), multispectral imaging, surface urban heat island (SUHI), surface urban heat island intensity (SUHII), Fewer tags SUHI Hotspots from MeanLST in persistent urban and new growth urban area of 50 cities of CONUS from 1985 to 2020 Surface Urban Heat Island (SUHI) hotspot data are defined as areas of statistically high land surface temperature (LST). A pixel is determined as statistically high if it exceeds one standard deviation above the mean of all pixels with similar land cover type. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual maximum land surface temperature (MeanLST) – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. The data is further separated into persistent urban and new urban outputs. Persistent Urban is defined as areas that are reported as urban in 1985 and... Tags: CONUS, CONUS, Landsat ARD, Landsat Analysis Ready Data (ARD), United States, All tags... United States, climatologyMeteorologyAtmosphere, environment, heat flow (earth), image collections, land surface temperature (LST), land use change, mean land surface temperature (MeanLST), multispectral imaging, new growth urban areas (NUA), persistent urban areas (PUA), surface urban heat island (SUHI), surface urban heat island hotspot (SUHIH), Fewer tags Annual SUHI intensity from MeanLST in 50 cities of CONUS from 1985 to 2020 Surface Urban Heat Island (SUHI) intensity data is intended to quantify the difference between urban surface temperatures and the surrounding non-urban environment. The calculation takes the difference between a specific urban pixel’s maximum land surface temperature (MeanLST) and the mean of the cities non-urban MeanLST. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual MeanLST – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. NOTE: While a previous version is available from the author, all datasets for pilot cities can be found in version 5.0. Tags: CONUS, CONUS, Landsat ARD, Landsat Analysis Ready Data (ARD), United States, All tags... United States, climatologyMeteorologyAtmosphere, environment, heat flow (earth), image collections, land surface temperature (LST), land use change, mean land surface temperature (MeanLST), multispectral imaging, surface urban heat island (SUHI), surface urban heat island intensity (SUHII), Fewer tags Annual SUHI intensity from MaxLST in 50 cities of CONUS from 1985 to 2020 Surface Urban Heat Island (SUHI) intensity data is intended to quantify the difference between urban surface temperatures and the surrounding non-urban environment. The calculation takes the difference between a specific urban pixel’s maximum land surface temperature (MaxLST) and the mean of the cities non-urban MaxLST. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual MaxLST – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. NOTE: While a previous version is available from the author, all datasets for pilot cities can be found in version 5.0. Tags: CONUS, CONUS, Landsat ARD, Landsat Analysis Ready Data (ARD), United States, All tags... United States, climatologyMeteorologyAtmosphere, environment, heat flow (earth), image collections, land surface temperature (LST), land use change, mean land surface temperature (MaxLST), multispectral imaging, surface urban heat island (SUHI), surface urban heat island intensity (SUHII), Fewer tags Annual land surface urban heat island hotspot from 1985 to present (Collection 1) Surface Urban Heat Island (SUHI) hotspot data are defined as areas of statistically high land surface temperature (LST). A pixel is determined as statistically high if it exceeds one standard deviation above the mean of all pixels with similar land cover type. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual land surface temperature (LST) – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. The data is further separated into persistent urban and new urban outputs. Persistent Urban is defined as areas that are reported as urban in 1985 and remained urban... Tags: CONUS, CONUS, Landsat ARD, Landsat Analysis Ready Data (ARD), United States, All tags... United States, climatologyMeteorologyAtmosphere, environment, heat flow (earth), image collections, land surface temperature (LST), land use change, mean land surface temperature (MaxLST), multispectral imaging, new growth urban areas (NUA), persistent urban areas (PUA), surface urban heat island (SUHI), surface urban heat island hotspot (SUHIH), Fewer tags