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This Forest Stand Height (FSH) Python 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.
This GitHub repository consists of Python 2 version of source code, Python 3 version of the scripts, scripts for ISCE preprocessing, user's manual, license file, three test example folders with one for ROI_PAC products, one for ISCE's insarApp products and one for ISCE's stripmapApp products, as well as an illustration of the sample FSH mosaic map.
The current version of the software can handle both ALOS-1 (processed by ROI_PAC or ISCE), ALOS-2 (processed by ISCE) data, as well as the future NISAR data (as long as pre-processed using ISCE).
Please follow the manual (which is self-explanatory) to install the per-requisite Python packages as well as the FSH software, and understand the basic workflows.
This software is simple to use and efficient in creating the FSH mosaic maps because once the InSAR data are pre-processed by ROI_PAC/ISCE and organized as detailed in the manual and the test example folders, only two command lines are involved to automatically perform the forest height inversion and mosaicking task (one command for FSH inversion and the other one for FSH mosaicking).