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Sentinel-1 Input Data for PSInSAR Analysis

Published by Colorado School of Mines | Department of Energy | Catalog Last Checked: March 23, 2026 at 09:41 PM | Dataset Last Updated: June 24, 2024 at 01:49 PM
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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  • S1A_IW_SLC__1SDV_20191001T135914_20191001T135942_029266_035348_2C59.zip

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  • S1A_IW_SLC__1SDV_20191025T135914_20191025T135941_029616_035F52_1144.zip

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  • Naming Convention For Sentinel-1 Level-1 Data

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Complete Metadata
@type dcat:Dataset
accessLevel public
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}
dataQuality 
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description 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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]
DOI 10.15121/1787858
identifier https://data.openei.org/submissions/7426
issued 2021-04-29T06:00:00Z
keyword 
                                            [
  "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"
]
landingPage https://gdr.openei.org/submissions/1308
license https://creativecommons.org/licenses/by/4.0/
modified 2024-06-24T13:49:38Z
programCode 
                                            [
  "019:006"
]
projectLead Mike Weathers
projectNumber EE0008760
projectTitle Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning
publisher 
                                            {
  "name": "Colorado School of Mines",
  "@type": "org:Organization"
}
spatial 
                                            "{"type":"Polygon","coordinates":[[[-180,-83],[180,-83],[180,83],[-180,83],[-180,-83]]]}"
title Sentinel-1 Input Data for PSInSAR Analysis

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