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Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024

Publicly accessible License 

The dataset comprises Interferometric Synthetic Aperture Radar (InSAR) data from the TerraSAR-X and TanDEM-X satellite missions, covering the Utah FORGE site. This data includes interferometric pairs created using GMT-SAR processing software, chosen for their short orbital separations between May 1, 2023, and June 30, 2024. Included are various data and metadata, including Digital Elevation Models, unit vectors, and correlation coefficients. The dataset is packaged in several compressed tar files and formatted in NetCDF. To utilize this dataset, users will need software capable of handling NetCDF files and tools for decompressing tar files.

Citation Formats

University of Wisconsin - Madison. (2024). Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024 [data set]. Retrieved from https://dx.doi.org/10.15121/2404535.
Export Citation to RIS
Batzli, Sam, Feigl, Kurt. Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024. United States: N.p., 17 Jul, 2024. Web. doi: 10.15121/2404535.
Batzli, Sam, Feigl, Kurt. Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024. United States. https://dx.doi.org/10.15121/2404535
Batzli, Sam, Feigl, Kurt. 2024. "Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024". United States. https://dx.doi.org/10.15121/2404535. https://gdr.openei.org/submissions/1619.
@div{oedi_6118, title = {Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024}, author = {Batzli, Sam, Feigl, Kurt.}, abstractNote = {The dataset comprises Interferometric Synthetic Aperture Radar (InSAR) data from the TerraSAR-X and TanDEM-X satellite missions, covering the Utah FORGE site. This data includes interferometric pairs created using GMT-SAR processing software, chosen for their short orbital separations between May 1, 2023, and June 30, 2024. Included are various data and metadata, including Digital Elevation Models, unit vectors, and correlation coefficients. The dataset is packaged in several compressed tar files and formatted in NetCDF. To utilize this dataset, users will need software capable of handling NetCDF files and tools for decompressing tar files.}, doi = {10.15121/2404535}, url = {https://gdr.openei.org/submissions/1619}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {07}}
https://dx.doi.org/10.15121/2404535

Details

Data from Jul 17, 2024

Last updated Jul 19, 2024

Submitted Jul 18, 2024

Organization

University of Wisconsin - Madison

Contact

Sam Batzli

Authors

Sam Batzli

University of Wisconsin - Madison

Kurt Feigl

University of Wisconsin - Madison

Research Areas

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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