TropoDeep Datasets

This dataset accompanies the following publication: Haji-Aghajany, S., Tasan, M., Izanlou, S., Rohm, W. (2025). TropoDeep: a deep learning-based model for InSAR tropospheric correction on large-scale interferograms using GNSS and WRF outputs. Journal of Geodesy, 99, 76. https://doi.org/10.1007/s00190-025-02001-0 Please cite the above article if you use this dataset in your work. CONTENTS 1. DEM/ - Digital Elevation Model. - Format: [.mat] - Coordinate system: Longitude/Latitude (WGS84) 2. GACOS/ - Tropospheric correction data from the Online Service (GACOS) - Format: [.mat] - Coordinate system: Longitude/Latitude (WGS84) 3. GPM/ - Precipitation data - Format: [.HDF5] - Coordinate system: Longitude/Latitude (WGS84) 4. Interferograms/ - Sentinel-1 InSAR interferograms (IFGs). - Format: [.mat] - Coordinate system: Longitude/Latitude (WGS84) 5. Output/ - Downscaling outputs - Format: [.mat] - Coordinate system: Image-based - Dimension: number of images, X, Y 6. WRF/ - ONE representative sample of WRF outputs only to illustrate input data format and structure. - Format: [.mat] - Coordinate system: Longitude/Latitude (WGS84) - NOTE: Full WRF outputs used in the study CANNOT be redistributed due to permission restrictions. DATA SOURCES The source data used for preprocessing and processing in this study were provided from the following: Sentinel-1 SAR data from the European Space Agency (ESA)/Copernicus program, accessed via the Alaska Satellite Facility (https://asf.alaska.edu/); GACOS tropospheric corrections from COMET, Newcastle University (http://www.gacos.net/); and GPM precipitation data from the NASA/JAXA Global Precipitation Measurement Mission (https://gpm.nasa.gov/). ** Before using the data, the corrections mentioned in the paper should be applied. CONTACT For questions about this dataset, please contact: Saeid Haji-Aghajany [e-mail] Wrocław University of Environmental and Life Sciences