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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
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Spatially accurate annual crop cover maps are an important component to various planning and research applications; however, the importance of these maps varies significantly with the timing of their availability. Utilizing a previously developed crop classification model (CCM), which was used to generate historical annual crop cover maps (classifying nine major crops: corn, cotton, sorghum, soybeans, spring wheat, winter wheat, alfalfa, other hay/non alfalfa, fallow/idle cropland, and ‘other’ as one class for remaining crops), we hypothesized that such crop cover maps could be generated in near real time (NRT). The CCM was trained on 14 temporal and 15 static geospatial datasets, known as predictor variables, and...
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Spatially accurate annual crop cover maps are an important component to various planning and research applications; however, the importance of these maps varies significantly with the timing of their availability. Utilizing a previously developed crop classification model (CCM), which was used to generate historical annual crop cover maps (classifying nine major crops: corn, cotton, sorghum, soybeans, spring wheat, winter wheat, alfalfa, other hay/non alfalfa, fallow/idle cropland, and ‘other’ as one class for remaining crops), we hypothesized that such crop cover maps could be generated in near real time (NRT). The CCM was trained on 14 temporal and 15 static geospatial datasets, known as predictor variables, and...
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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
|
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
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