Filters: Tags: heat flow (earth) (X)
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We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in 50 cities of CONUS and its surrounding area by using surface temperature from Landsat surface temperature product in a time series manner. Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2020. The current study assessed UHI intensity and its variations associated with urban development in an annual basis. Two datasets, over the study period, show that the maximum surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. These released datasets were spatially...
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...
Categories: Data Release - Revised;
Tags: 5 km buffer zones,
CONUS,
CONUS,
Landsat ARD,
Landsat Analysis Ready Data (ARD),
This data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis (DE EE0006733) for Phase 2 (ArcGIS shapefiles and raster files) as well as the model processing script, tables, and documentation used to generate data outputs. Phase 2 examines two subset areas of the Phase 1 study area, Mountain Home and Camas Prairie. Brief descriptions of data layers are in the metadata of GIS files, greater detail is available in the ‘Larger Work,' the Snake River Plain Play Fairway Analysis Phase 2 report. A link to the report is available in the ‘Related External Resources’ section.
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project (DE-FOA-0001956), with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevada. The geophysics data include map surfaces related to gravity and magnetic data, and line and point data derived from those surfaces. Heat flow data include an interpolated map of heat flow in mW/m², an error surface, and well data used to construct them. The dilation and slip tendency information exist as attributes assigned...
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