Utah FORGE: Area Terrain Slope Data

Nash, Greg

doi:10.15121/1495410

Title: Utah FORGE: Area Terrain Slope Data

Dataset
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Abstract

This archive contains a terrain slope image, in units of degrees, of the Utah FORGE area near Roosevelt Hot springs. The data was derived from 0.5 m resolution LiDAR DEM data and is in a GeoTiff format. It was processed using ArcGIS.

Authors:

Nash, Greg

Energy and Geoscience Institute at the University of Utah

Publication Date:: Sun Dec 09 23:00:00 EST 2018

Other Number(s):: 1112

DOE Contract Number:: EE0007080

Research Org.:: DOE Geothermal Data Repository; Energy and Geoscience Institute at the University of Utah

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)

Collaborations:: Energy and Geoscience Institute at the University of Utah

Subject:: 15 GEOTHERMAL ENERGY; ArcGIS; DEM; EGS; FORGE; GIS; GeoTIFF; LiDAR; Milford; Roosevelt Hot Springs; Utah FORGE; digital elevation model; energy; geospatial data; geothermal; processed data; remote sensing; slope; slope degrees; slope image; terrain; terrain slope; topography; utah

OSTI Identifier:: 1495410

DOI:: https://doi.org/10.15121/1495410

Citation Formats


                    Nash, Greg. Utah FORGE: Area Terrain Slope Data.  United States: N. p., 2018. 
        Web.  doi:10.15121/1495410.

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                    Nash, Greg. Utah FORGE: Area Terrain Slope Data.  United States.  doi:https://doi.org/10.15121/1495410

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                    Nash, Greg. 2018.  
"Utah FORGE: Area Terrain Slope Data".  United States.  doi:https://doi.org/10.15121/1495410.  https://www.osti.gov/servlets/purl/1495410. Pub date:Sun Dec 09 23:00:00 EST 2018

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@article{osti_1495410,

  title        = {Utah FORGE: Area Terrain Slope Data},

  author       = {Nash, Greg},

  abstractNote = {This archive contains a terrain slope image, in units of degrees, of the Utah FORGE area near Roosevelt Hot springs. The data was derived from 0.5 m resolution LiDAR DEM data and is in a GeoTiff format. It was processed using ArcGIS.},

  doi          = {10.15121/1495410},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Dec 09 23:00:00 EST 2018},

  month        = {Sun Dec 09 23:00:00 EST 2018}

}

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DOI: https://doi.org/10.15121/1495410

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