Annual land surface urban heat island hotspot from 1985 to present (Collection 1)
Dates
Publication Date
2019-11-01
Start Date
1985
End Date
2020
Release Date
2023-12-11
Citation
Xian, G.Z., Shi, H., Mueller, C.W., Hussain, R.A., Arab, S., Sayler, K.L., and Howard, D., 2019, Land surface thermal feature change monitoring in urban and non-urban interface from 1985 to present (ver. 5.0, December 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9H6E1FZ.
Summary
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 in 2020. Areas [...]
Summary
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 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.
Landsat surface temperature data is an important geophysical variable for understanding the thermal, hydrological, and societal impacts of urbanization. However, due to Landsat’s limited temporal frequency and the additional impacts of cloud cover, significant processing of the data is required to begin leveraging Landsat’s resolution and historical record. This dataset aims to eliminate the processing step and provide analysis ready data for evaluating the surface urban heat island.
