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  1. ScienceBase Catalog
  2. Earth Resources Observation and Science Center (EROS)
  3. Land surface thermal feature change monitoring in urban and non-urban interface from 1985 to present (ver. 5.0, December 2023)
  4. Annual land surface urban heat island hotspot from 1985 to present (Collection 1)
  5. SUHI Hotspots from MeanLST in persistent urban and new growth urban area of 50 cities of CONUS from 1985 to 2020

SUHI Hotspots from MeanLST in persistent urban and new growth urban area of 50 cities of CONUS from 1985 to 2020

Dates

Publication Date
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 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 [...]

Contacts

Point of Contact :
U.S. Geological Survey, LAND RESOURCES, George Z Xian
Originator :
George Z. Xian, Hua Shi, Chase Mueller, Reza Hussain, Saeed Arab, Kristi Sayler, Danny Howard
Metadata Contact :
U.S. Geological Survey, LAND RESOURCES, George Z Xian
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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UHI_hotspots_MeanT_USA_main_FGDC 5.0.xml
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Purpose

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.

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  • Earth Resources Observation and Science Center (EROS)

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