ef29fecb92
I'm proposing a fix to create_cmds.py since I found a minor bug in line 165 which doesn't remove the excluded dates during image stacking. Instead line 165 removes dates based on the dates not included from the dates to be included parameter on the alosStack.xml. The image folder contains the ALOS-2 images with dates 191005, 191019, 191102, 191214, 191228. I've tested the changes and it worked properly. Co-authored-by: Ryan Burns <rtburns@jpl.nasa.gov> |
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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
$PATHenvironment variable as follows:- add the full path of your contrib/stack/topsStack to
$PATHto use the topsStack for processing a stack of Sentinel-1 TOPS data - add the full path of your contrib/stack/stripmapStack to
$PATHto use the stripmapStack for processing a stack of StripMap data - set environment variable
$PATH_ALOSSTACKby 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/)