Utah FORGE: InSAR Data Best Pairs
Resources
11 resources available
-
0README.txt
TXT -
PAIRSmake.txt
TXT -
corr_utm.tgz
TGZ -
dem_utm.grd
GRD -
drhomaskd_utm.tgz
TGZ -
led.tgz
TGZ -
mean_unit_vectors.txt
TXT -
phasefilt_mask_utm.tgz
TGZ -
prm.tgz
TGZ -
uvs.tgz
TGZ -
InSAR processing system based on GMT
HTML
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "019:20" ] |
| contactPoint |
{ "fn": "Sam Batzli", "@type": "vcard:Contact", "hasEmail": "mailto:sabatzli@wisc.edu" } |
| dataQuality |
true
|
| description | This submission provides Interferometric Synthetic Aperture Radar (InSAR) data covering the Utah FORGE site via the TerraSAR-X and TanDEM-X satellite missions operated by the German Space Agency (DLR). Data was collected between 2019/01/01 and 2023/06/30. Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software. The best 112 pairs were selected based on having short orbital separations (perpendicular baseline less than 5 meters in absolute value). |
| distribution |
[ { "@type": "dcat:Distribution", "title": "0README.txt", "format": "txt", "accessURL": "https://gdr.openei.org/files/1527/0README.txt", "mediaType": "text/plain", "description": "This file contains information about all the files included in this collection and submission." }, { "@type": "dcat:Distribution", "title": "PAIRSmake.txt", "format": "txt", "accessURL": "https://gdr.openei.org/files/1527/PAIRSmake.txt", "mediaType": "text/plain", "description": "List of interferometric pairs including metadata." }, { "@type": "dcat:Distribution", "title": "corr_utm.tgz", "format": "tgz", "accessURL": "https://gdr.openei.org/files/1527/corr_utm.tgz", "mediaType": "application/octet-stream", "description": "Compressed tar file containing correlation coefficients for each pair in NetCDF format. Made with following command: ls In*/corr_utm.grd > corr_utm.lst; tar -czvf corr_utm.tgz `cat corr_utm.lst`" }, { "@type": "dcat:Distribution", "title": "dem_utm.grd", "format": "grd", "accessURL": "https://gdr.openei.org/files/1527/dem_utm.grd", "mediaType": "application/octet-stream", "description": "Digital Elevation Model in Universal Transverse Mercator coordinates (meters) in NetCDF format." }, { "@type": "dcat:Distribution", "title": "drhomaskd_utm.tgz", "format": "tgz", "accessURL": "https://gdr.openei.org/files/1527/drhomaskd_utm.tgz", "mediaType": "application/octet-stream", "description": "Compressed tar file containing masked range change for each pair in NetCDF format. Made with following command: ls In*/drhomaskd_utm.grd > drhomaskd_utm.lst; tar -czvf drhomaskd_utm.tgz `cat drhomaskd_utm.lst`" }, { "@type": "dcat:Distribution", "title": "led.tgz", "format": "tgz", "accessURL": "https://gdr.openei.org/files/1527/led.tgz", "mediaType": "application/octet-stream", "description": "Compressed tar file containing metadata for individual images acquired on specific dates; these LED files were delivered with the RAW data. Made with following command: ls In*/*.LED > led.lst; tar -czvf led.tgz `cat led.lst`" }, { "@type": "dcat:Distribution", "title": "mean_unit_vectors.txt", "format": "txt", "accessURL": "https://gdr.openei.org/files/1527/mean_unit_vectors.txt", "mediaType": "text/plain", "description": "List of mean vectors for each epoch pointing from target on ground to sensor aboard satellite." }, { "@type": "dcat:Distribution", "title": "phasefilt_mask_utm.tgz", "format": "tgz", "accessURL": "https://gdr.openei.org/files/1527/phasefilt_mask_utm.tgz", "mediaType": "application/octet-stream", "description": "Compressed tar file containing masked range change for each pair in NetCDF format. Made with following command: ls In*/phasefilt_mask_utm.grd > phasefilt_mask_utm.lst; tar -czvf phasefilt_mask_utm.tgz `cat phasefilt_mask_utm.lst`" }, { "@type": "dcat:Distribution", "title": "prm.tgz", "format": "tgz", "accessURL": "https://gdr.openei.org/files/1527/prm.tgz", "mediaType": "application/octet-stream", "description": "Compressed tar file containing metadata for individual images acquired on specific dates; These PRM files are created by GMTSAR. Made with following command: ls In*/*.PRM > prm.lst; tar -czvf prm.tgz `cat prm.lst`" }, { "@type": "dcat:Distribution", "title": "uvs.tgz", "format": "tgz", "accessURL": "https://gdr.openei.org/files/1527/uvs.tgz", "mediaType": "application/octet-stream", "description": "Compressed tar file of unit vectors for each pixel in each pair. Made with following three commands: ./calculate_vectors2.sh (followed by) ./calculate_means.sh (followed by) ls In*/*_unit_vectors.txt > uvs.lst; tar -czvf uvs.tgz `cat uvs.lst`" }, { "@type": "dcat:Distribution", "title": "InSAR processing system based on GMT", "format": "HTML", "accessURL": "https://topex.ucsd.edu/gmtsar/", "mediaType": "text/html", "description": "GMTSAR is an open source (GNU General Public License) InSAR processing system designed for users familiar with Generic Mapping Tools (GMT). The code is written in C and will compile on any computer where GMT and NETCDF are installed." } ] |
| DOI | 10.15121/1998900 |
| identifier | https://data.openei.org/submissions/8511 |
| issued | 2023-05-31T06:00:00Z |
| keyword |
[ "DLR", "Digital Elevation Model", "EGS", "FORGE", "GMT-SAR", "Generic Mapping Tool", "InSAR", "TanDEM-X", "TerraSAR-X", "Utah FORGE", "Utah geothermal", "energy", "engineering", "fracturing", "geospatial data", "geothermal", "hydraulic", "processed data", "raster", "remote sensing", "reservoir" ] |
| landingPage | https://gdr.openei.org/submissions/1527 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-09-14T16:09:25Z |
| programCode |
[ "019:006" ] |
| projectLead | Lauren Boyd |
| projectNumber | EE0007080 |
| projectTitle | Utah FORGE |
| publisher |
{ "name": "University of Wisconsin - Madison", "@type": "org:Organization" } |
| spatial |
"{"type":"Polygon","coordinates":[[[-180,-83],[180,-83],[180,83],[-180,83],[-180,-83]]]}"
|
| title | Utah FORGE: InSAR Data Best Pairs |