Filters: Tags: heat flow (earth) (X) > partyWithName: U.S. Geological Survey (X)
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The importance of monitoring shrublands to detect and understand changes through time is increasingly recognized as critical to management. This dataset focuses on ecological change observation over ten years of field observation at 134 plots within two sites that are located in Southwestern of Wyoming, USA from 2008-2018. At sites 1 and 3, 134 long-term field observation plots were measured annually from 2008 to 2018. General plot locations were selected in 2006 using segments and spectral clusters on QuickBird imagery to identify the best locations for representing the variability of the entire site (one QuickBird image). Ground measurements were conducted using ocular measurements with cover was estimated from...
Categories: Data;
Tags: Land Use Change,
Landsat Path/Row,
Landsat time-series,
Southwest Wyoming,
U.S.,
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...
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...
Categories: Data;
Tags: CONUS,
CONUS,
Landsat ARD,
Landsat Analysis Ready Data (ARD),
United States,
This package contains a map surface that depicts the estimated spatial variation of conductive heat flow (mW/m²) in a portion of northern Nevada, the extent of the ‘Nevada Machine Learning Project’ (DE-EE0008762). It was generated using well locations that had an estimated heat flow value from a measured thermal gradient and thermal conductivity, mainly using data from Southern Methodist University, with some additional USGS data. Well data are included along with and a map surface depicting estimated standard error of the heat flow interpolation.
This data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis (DE EE0006733) for Phase 1 (ArcGIS shapefiles and raster files) as well as the model processing script, tables, and documentation used to generate data outputs. 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 1 report. A link to the report is available in the ‘Related External Resources’ section.
As part of the periodic update of the geothermal energy assessments for the USA (e.g., last update by Williams and others, 2008), a new three-dimensional temperature map has been constructed for the Great Basin, USA. Williams and DeAngelo (2011) identified uncertainty in estimates of conductive heat flow near land surface as the largest contributor to uncertainty in previously published temperature maps. The new temperature maps incorporate new conductive heat flow estimates developed by DeAngelo and others (2023). Predicted temperatures at depth are compared with representative measurements (for conductively dominated conditions), showing good agreement under relatively simple uniform conditions. Inputs included...
This data release includes the model input and output files for the 3D petroleum systems model of the Williston Basin. The model was created in Schlumberger's PetroMod version 2020.1. The enclosed folders are standard PetroMod format and contain all data necessary for defining and re-simulating the model. Please contact Tim Nesheim at the North Dakota Geologic Survey (tonesheim@nd.gov) directly for static temperature log data used in the temperature calibration. Proprietary IHS Markit ® (2022) data used for model calibration are also not included in this data release. This is a child item of a larger data release titled "Data release for the 3D petroleum systems model of the Williston Basin, USA".
The thermal maturity grids are results generated from the petroleum systems model for five major source rock intervals, which include, from youngest to oldest, the Tyler, Mission Canyon, upper part of the Bakken, Red River, and Icebox Formations. The units are in equivalent vitrinite reflectance using the Nielsen et al. (2017) Basin%Ro kinetic model. Note: these grids represent the modeled thermal maturity of the source interval horizon and may extend beyond the lithostratigraphic extent of the inferred source rock; they cover the entire petroleum systems model area of interest. This is a child item of a larger data release titled "Data release for the 3D petroleum systems model of the Williston Basin, USA".
The subsurface temperature grids are results/outputs from the 3D petroleum systems model. They represent modern subsurface temperatures in degrees Fahrenheit extracted onto the stratigraphic horizons in the model. The temperature values are calibrated using 24 high-resolution static temperature logs provided by the North Dakota Geological Survey and a large proprietary dataset (>1,000) of drill stem test (DST) and bottom hole temperatures (BHT) from boreholes throughout Montana and North Dakota provided by IHS Markit ® (2022). This is a child item of a larger data release titled "Data release for the 3D petroleum systems model of the Williston Basin, USA".
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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