Annual Landsat land surface temperature (LST) products are generated for 71 regions (urban centers) throughout the Continental U.S. (CONUS) and are used to produce Surface Urban Heat Island (SUHI) intensity and hotspot data. The LST were derived from Landsat collections U.S. Analysis Ready Data (ARD) that intersect with the 71 urban centers. The time series LST and NLCD 2023 annual land cover change products were used to produce SUHI intensity and hotspots products. The data ranges from 1985-2023, and covers data within 5 km of each urban center in CONUS. 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 LST and the mean of the cities non-urban LST. SUHI hotspot data are defined as areas of statistically high 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 2023. Areas that changed from non-urban in 1985 to urban in 2023 are defined as n urban. NOTE: While a previous version is available from the author, all datasets for urban pilot centers can be found in version 6.0. 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 - November 20, 2023 (version 5.0) Revised - June 20, 2025 (version 6.0)