Sentinel-1 Input Data for PSInSAR Analysis

Published by Colorado School of Mines | Department of Energy | Metadata Last Checked: January 27, 2026 | Last Modified: 2024-06-24T13:49:38Z

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.

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AI InSAR PSInSAR Sentinel-1 Synthetic Aperture Radar aerial photography analysis anomaly detection artificial intelligence deep learning displacement energy geology geospatial data geothermal imaging input data interferometric machine learning phenomena processed data radar remote sensing satellite imaging site detection soil deformation subsoil

Complete Metadata

bureauCode	[ "019:20" ]
dataQuality	true
DOI	10.15121/1787858
identifier	https://data.openei.org/submissions/7426
issued	2021-04-29T06:00:00Z
landingPage	https://gdr.openei.org/submissions/1308
programCode	[ "019:006" ]
projectLead	Mike Weathers
projectNumber	EE0008760
projectTitle	Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning
spatial	{"type":"Polygon","coordinates":[[[-180,-83],[180,-83],[180,83],[-180,83],[-180,-83]]]}