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This repository contains the data used in Yunjun et al. (2022, IEEE-TGRS). Yunjun, Z., Fattahi, H., Pi, X., Rosen, P., Simons, M., Agram, P., & Aoki, Y. (2022). Range Geolocation Accuracy of C-/L-band SAR and its Implications for Operational Stack Coregistration. IEEE Transactions on Geoscience and Remote Sensing, 60, doi:10.1109/TGRS.2022.3168509. It includes the following 3 test sites: Sentinel-1 ascending track 149 in northern Chile Sentinel-1 descending track 156 in northern Chile ALOS-2 descending track 23 in southern Kyushu, Japan For each test site, it includes the following datasets: SAR range and azimuth offset stack (using ISCE-2 / PyCuAmpcor) SAR range offset time series (using MintPy) JPL high-resolution Global Ionospheric Maps (GIM) and the topside TEC for ChileSenAT149. Solid Earth tides prediction (using PySolid) ERA5 tropospheric delay prediction (using PyAPS) Useful links: HDF-EOS5 file (*.he5) structure is described in https://mintpy.readthedocs.io/en/latest/hdfeos5/. HDF5/MintPy file (*.h5) structure is described in https://mintpy.readthedocs.io/en/latest/api/data_structure/. Related Notebooks at https://github.com/yunjunz/2022-Geolocation.
solid Earth tides, offset, geolocation, speckle tracking, troposphere, coregistration, ionosphere, SAR
solid Earth tides, offset, geolocation, speckle tracking, troposphere, coregistration, ionosphere, SAR
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