After running the currently modified fetchOrbits.py, I've found out that the downloaded precise orbits were based on the date that they were processed instead of the date that they can be used. I've also modified the code to prevent downloading of restituted orbit if the precise orbit is available. Pls. check if the changes I've made applies the orbit files to the Sentinel-1 SLC images properly. |
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alosStack | ||
stripmapStack | ||
topsStack | ||
README.md |
README.md
Stack Processors
Read the document for each stack processor for details.
Installation
To use a stack processor you need to:
-
Install ISCE as usual
-
Depending on which stack processor you need to try, add the path of the folder containing the python scripts to your
$PATH
environment variable as follows:- add the full path of your contrib/stack/topsStack to
$PATH
to use the topsStack for processing a stack of Sentinel-1 TOPS data - add the full path of your contrib/stack/stripmapStack to
$PATH
to use the stripmapStack for processing a stack of StripMap data - set environment variable
$PATH_ALOSSTACK
by doing: export PATH_ALOSSTACK=CODE_DIR/contrib/stack/alosStack to use the alosStack for processing a stack of ALOS-2 data
- add the full path of your contrib/stack/topsStack to
Note: The stack processors do not show up in the install directory of your isce software. They can be found in the isce source directory.
Important Note:
There might be conflicts between topsStack and stripmapStack scripts (due to comman names of different scripts). Therefore users MUST only have the path of one stack processor in their $PATH environment at a time, to avoid conflicts between the two stack processors.
References
Users who use the stack processors may refer to the following literatures:
For StripMap stack processor and ionospheric phase estimation:
- H. Fattahi, M. Simons, and P. Agram, "InSAR Time-Series Estimation of the Ionospheric Phase Delay: An Extension of the Split Range-Spectrum Technique", IEEE Trans. Geosci. Remote Sens., vol. 55, no. 10, 5984-5996, 2017. (https://ieeexplore.ieee.org/abstract/document/7987747/)
For TOPS stack processing:
- H. Fattahi, P. Agram, and M. Simons, “A network-based enhanced spectral diversity approach for TOPS time-series analysis,” IEEE Trans. Geosci. Remote Sens., vol. 55, no. 2, pp. 777–786, Feb. 2017. (https://ieeexplore.ieee.org/abstract/document/7637021/)