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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 remained urban in 2020. Areas that changed from non-urban in 1985 to urban in 2020 are defined as new urban. NOTE: While a previous version is available from the author, all the datasets for pilot cities can be found in version 5.0.

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Author(s) George Z. Xian, Hua Shi, Chase Mueller, Reza Hussain, Saeed Arab, Kristi Sayler, Danny Howard
Publication Date 2023-11-20
Beginning Date of Data 1985
Ending Date of Data 2020
Data Contact
DOI https://doi.org/10.5066/P9H6E1FZ.
Citation Xian, G.Z., Shi, H., Mueller, C., Hussain, R., Arab, S., Sayler, K., and Howard, D., 2023, SUHI Hotspots from MeanLST in persistent urban and new growth urban area of 50 cities of CONUS from 1985 to 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9H6E1FZ..
Metadata Contact
Metadata Date 2023-12-11
Related Publication
Citations of these data No citations of these data are known at this time.
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-09-09T13:42:32.725Z