Sentinel-1 Input Data for PSInSAR Analysis

DOI 10.15121/1787858
Publicly accessible License 

Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert Peak geothermal areas. The original titles are included for the Sentinel-1 data. The naming guide is included as a link in this submission. The data contains SAR (Radar) data from the Sentinel 1A satellite between July 2017 and December 2019. The data is necessary to replicate our results, and can be used for further PSInSAR, DInSAR and other modern interferometric analyses to determine line of sight, vertical and, possibly, East-West horizontal displacement. These displacement analysis show the soil deformation in time (including average displacement velocity), which can be used to indicate subsoil phenomena: temperature changes, subsidence, uplift, and inform other analyses like seismicity and porosity.

Citation Formats

Colorado School of Mines. (2021). Sentinel-1 Input Data for PSInSAR Analysis [data set]. Retrieved from https://dx.doi.org/10.15121/1787858.
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Moraga, Jim. Sentinel-1 Input Data for PSInSAR Analysis. United States: N.p., 29 Apr, 2021. Web. doi: 10.15121/1787858.
Moraga, Jim. Sentinel-1 Input Data for PSInSAR Analysis. United States. https://dx.doi.org/10.15121/1787858
Moraga, Jim. 2021. "Sentinel-1 Input Data for PSInSAR Analysis". United States. https://dx.doi.org/10.15121/1787858. https://gdr.openei.org/submissions/1308.
@div{oedi_1308, title = {Sentinel-1 Input Data for PSInSAR Analysis}, author = {Moraga, Jim.}, abstractNote = {Files used to perform the Persistent Scatterer InSAR analysis with SARPROZ. The data is sourced from ESAs Sentinel-1 project and covers Brady Hot Springs and Desert Peak geothermal areas. The original titles are included for the Sentinel-1 data. The naming guide is included as a link in this submission. The data contains SAR (Radar) data from the Sentinel 1A satellite between July 2017 and December 2019. The data is necessary to replicate our results, and can be used for further PSInSAR, DInSAR and other modern interferometric analyses to determine line of sight, vertical and, possibly, East-West horizontal displacement. These displacement analysis show the soil deformation in time (including average displacement velocity), which can be used to indicate subsoil phenomena: temperature changes, subsidence, uplift, and inform other analyses like seismicity and porosity. }, doi = {10.15121/1787858}, url = {https://gdr.openei.org/submissions/1308}, journal = {}, number = , volume = , place = {United States}, year = {2021}, month = {04}}
https://dx.doi.org/10.15121/1787858

Details

Data from Apr 29, 2021

Last updated Jun 24, 2024

Submitted Apr 30, 2021

Organization

Colorado School of Mines

Contact

Jim Moraga

303.273.3768

Authors

Jim Moraga

Colorado School of Mines

DOE Project Details

Project Name Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning

Project Lead Mike Weathers

Project Number EE0008760

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