+ 1 command for InSAR preprocessing
+ 1 command for forest height inversion
+ 1 command for forest height mosaicking
+ Support for JAXA's ALOS and ALOS-2 data
+ Support for different ISCE versions (v2.2.0 and v2.4.1)- Windows (Anaconda Prompt)
- Linux
- OSX
This software performs the automated forest height inversion and mosaicking from spaceborne repeat-pass L-band HV-pol InSAR correlation magnitude data (e.g. JAXA’s ALOS-1/2, and the future NASA-ISRO’s NISAR) that have been pre-processed by JPL’s ROI_PAC and/or ISCE programs.
Produced by the University of Massachusetts Microwave Remote Sensing Laboratory.
Yang Lei (ylei@caltech.edu, leiyangfrancis@gmail.com), Paul Siqueira (siqueira@umass.edu).
Besides contacting the authors via email for technical questions, it is also recommended to refer to the closed issues or open a new issue on GitHub.
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1. Release news
2. Installation
3. How to use
Please note that users will have to be able to generate their own interferograms using JPL's ROI_PAC or ISCE (insarApp.py workflow up to v2.2; stripmapApp.py workflow for v2.2+) software in order to use the FSH software. Information and tutorials regarding ISCE and interferogram processing can be found at here. To those interested in pursuing their own interferogram processing, we used modified ISCE scripts which are provided with the FSH software, and described here.
Here, we provide three test examples for FSH using JAXA's ALOS PALSAR interferograms that have been generated by ROI_PAC and ISCE (with both insarApp.py and stripmapApp.py workflows in v2.2), respectively.
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Lei, Y., Siqueira, P., Torbick, N., Ducey, M., Chowdhury, D. and Salas, W., 2019. Generation of Large-Scale Moderate-Resolution Forest Height Mosaic With Spaceborne Repeat-Pass SAR Interferometry and Lidar. IEEE Transactions on Geoscience and Remote Sensing, 57(2), pp.770-787.
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- Yang Lei
- Tracy Whelen
- Paul Siqueira
- Diya Chowdhury
- Gerard Ruiz Carregal
- Thannarot Kunlamai
- Tim Mayer
- Helen Baldwin
- Simon Kraatz