Published March 15, 2022
| Version 1.0
Dataset
Open
Data for Yunjun et al. (2022) on SAR Range Geolocation
Creators
- 1. California Institute of Technology
- 2. Jet Propulsion Laboratory
- 3. University of Tokyo
Description
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.