skip to main content
DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Brady's Geothermal Field - Metadata for InSAR Holdings

Abstract

List of synthetic aperture radar (SAR) images acquired by TerraSAR-X and TanDEM-X satellite missions and archived at UNAVCO's WINSAR facility. See file "Bradys TSX Holdings.csv" for individual links. NOTE: The user must create an account in order to access the data (See "Instructions for Creating an Account" below).

Creator(s)/Author(s):
Publication Date:
Other Number(s):
840
DOE Contract Number:  
EE0006760
Product Type:
Dataset
Research Org.:
DOE Geothermal Data Repository; University of Wisconsin
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Subject:
15 Geothermal Energy
Keywords:
geothermal; Brady; synthetic aperture radar; InSAR; SAR; WInSAR; radar; synthetic aperture; TerraSAR-X; TanDEM-X; interferometric; western North America; bradys hot springs; PoroTomo; TDX1
OSTI Identifier:
1287499
DOI:
10.15121/1287499

Citation Formats

Ali, Tabrez. Brady's Geothermal Field - Metadata for InSAR Holdings. United States: N. p., 2016. Web. doi:10.15121/1287499.
Ali, Tabrez. Brady's Geothermal Field - Metadata for InSAR Holdings. United States. doi:10.15121/1287499.
Ali, Tabrez. 2016. "Brady's Geothermal Field - Metadata for InSAR Holdings". United States. doi:10.15121/1287499. https://www.osti.gov/servlets/purl/1287499. Pub date:Fri Jul 29 00:00:00 EDT 2016
@article{osti_1287499,
title = {Brady's Geothermal Field - Metadata for InSAR Holdings},
author = {Ali, Tabrez},
abstractNote = {List of synthetic aperture radar (SAR) images acquired by TerraSAR-X and TanDEM-X satellite missions and archived at UNAVCO's WINSAR facility. See file "Bradys TSX Holdings.csv" for individual links. NOTE: The user must create an account in order to access the data (See "Instructions for Creating an Account" below).},
doi = {10.15121/1287499},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {7}
}

Dataset:

Save / Share: