Surface Subsidence Monitoring and Forecasting Using SBAS-InSAR and TCLA-net: The Case of the Ul-tra-High-Voltage Transmission Line in Tongren City, Qinghai Province

This dataset contains: 1. Primary Data: The project folder uploaded at contains 53 time-series folders named “1” through “53” and one static factor folder. Each time-series folder contains the deformation data file “villageijicut.tif” for each period, as well as four types of dynamic factors: “bsi.tif,” “lst.tif,” “precipitation.tif,” and “temperature.tif”;The static factors folder contains seven types of static factors: “aspect.tif,” “dem.tif,” “geology.tif,” “landuse.tif,” “slope.tif,” “spi.tif,” and “twi.tif.” Please place the script in the project folder and run it from the project’s working directory. 2. Metadata: Metadata.docx 3. Code or Scripts: TCLA_net_reproducible(1).py 4. Supporting Documentation: A README file or equivalent document explaining the dataset structure, formats, and how the data should be interpreted.