SBAS-InSAR Displacement Time Series with Automated Reference Point Selection

An automated approach for selecting reference points to enhance the accuracy of SBAS-InSAR displacement time series. The 381.2 MB dataset, authored by Kobid Panthi and last updated in April 2026, includes files in formats like H5, TIF, and XLSX. The detailed file arrangement is described in an accompanying Readme.md file.

Use Cases

• Improving the accuracy of ground displacement measurements based on the described automated reference point selection method.
• Analyzing long-term land deformation time series based on the SBAS-InSAR technique mentioned in the title.
• Developing or validating automated data processing workflows for geospatial radar imagery.
• Comparing displacement results using different reference point strategies for satellite radar data.

Strengths

• Dataset size is 381.2 MB, indicating substantial content.
• Includes multiple file formats (CFG, IPYNB, TIF, MD, H5, LOG, XLSX) suggesting diverse data and code components.
• Released under a permissive CC-BY-4.0 license for open use and sharing.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kobid Panthi via figshare.

Collection Method

Likely derived from satellite radar (InSAR) data processing.

Freshness

Last updated 2026-04-11 01:33:09; freshness should be verified.