Data for Yunjun et al. (2022) on SAR Range Geolocation

<p>This repository contains the&nbsp;data used in Yunjun et al. (2022, IEEE-TGRS).</p> <ul> <li>Yunjun, Z., Fattahi, H., Pi, X., Rosen, P., Simons, M., Agram, P., &amp; Aoki, Y. (2022). Range Geolocation Accuracy of C-/L-band SAR and its Implications for Operational Stack Coregistration.&nbsp;<em>IEEE Transactions on Geoscience and Remote Sensing, 60</em>, doi:<a href="https://doi.org/10.1109/TGRS.2022.3168509">10.1109/TGRS.2022.3168509</a>.</li> </ul> <p>It includes the following 3 test sites:</p> <ul> <li>Sentinel-1 ascending track 149 in northern Chile</li> <li>Sentinel-1 descending track 156 in northern Chile</li> <li>ALOS-2 descending track 23 in southern Kyushu, Japan</li> </ul> <p>For each test site, it includes the following datasets:</p> <ul> <li>SAR range and azimuth offset stack (using <a href="https://github.com/isce-framework/isce2">ISCE-2</a>&nbsp;/ <a href="https://github.com/isce-framework/isce2/tree/main/contrib/PyCuAmpcor">PyCuAmpcor</a>)</li> <li>SAR range offset time series (using <a href="https://github.com/insarlab/MintPy">MintPy</a>)</li> <li>JPL high-resolution Global Ionospheric Maps (GIM) and the topside TEC for ChileSenAT149.</li> <li>Solid Earth tides prediction (using <a href="https://github.com/insarlab/PySolid">PySolid</a>)</li> <li>ERA5 tropospheric delay prediction (using <a href="https://github.com/insarlab/PyAPS">PyAPS</a>)</li> </ul> <p>Useful links:</p> <ul> <li>HDF-EOS5 file (*.he5) structure is described in&nbsp;<a href="https://mintpy.readthedocs.io/en/latest/hdfeos5/">https://mintpy.readthedocs.io/en/latest/hdfeos5/</a>.</li> <li>HDF5/MintPy file (*.h5) structure is described in&nbsp;<a href="https://mintpy.readthedocs.io/en/latest/api/data_structure/">https://mintpy.readthedocs.io/en/latest/api/data_structure/</a>.</li> <li>Related Notebooks at&nbsp;<a href="https://github.com/yunjunz/2022-Geolocation">https://github.com/yunjunz/2022-Geolocation</a>.</li> </ul>