Land surface thermal feature change monitoring in urban and non-urban interface from 1985 to present (ver. 5.0, December 2023)
Dates
Publication Date
2019-11-01
Start Date
1985
End Date
2020
Revision
2020-08-20
Revision
2021-05-20
Revision
2022-01-20
Last Revision
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) extent, intensity, and hotspots data of land surface temperature (LST) are provided across 50 regions throughout the Continental U.S. The annual land surface temperature (LST) were derived from Landsat U.S. Analysis Ready Data (ARD). The time series land surface Temperature (LST) and land cover change products were used to produce SUHI intensity and hotspots products. The data ranges from 1985-present, and covers data within 5 km of each city. 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 [...]
Summary
Surface Urban Heat Island (SUHI) extent, intensity, and hotspots data of land surface temperature (LST) are provided across 50 regions throughout the Continental U.S. The annual land surface temperature (LST) were derived from Landsat U.S. Analysis Ready Data (ARD). The time series land surface Temperature (LST) and land cover change products were used to produce SUHI intensity and hotspots products. The data ranges from 1985-present, and covers data within 5 km of each city. 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. 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. Hotspot 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 datasets for pilot cities can be found in version 5.0.
First posted - November 01, 2019 (available from author)
Revised - August 20, 2020 (version 2.0) Revised
May 20, 2020 (version 3.0) Revised
January 20, 2022 (version 4.0) Revised
December 11, 2023 (version 5.0) - In this version, we published 2 child items which include SUH intesitity and hotspots
Xian, G.Z., 2021, Monitoring and assessing urban heat island variations and effects in the United States: U.S. Geological Survey Fact Sheet, https://doi.org/10.3133/fs20213031.
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.