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test_example_ROIPAC.md

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  1. Download the directory "test_example_ROIPAC" from the link and move into the sub-directory "test_example_ROIPAC".

  2. Under test_example_ROIPAC/test_example_ROIPAC, you will find the flag_file (flagfile.txt), link_file (linkfile.txt), ref_file (Howland_LVIS_NaN.tif), mask_file (Maine_NLCD2011_nonwildland.tif). All of the associated files for three ALOS PALSAR HV-pol InSAR coherence scenes are grouped by their ALOS (f$frame_o$orbit) and their acquisition dates (under the subfolder int_$date1_$date2). For each scene, there are seven associated files outputted by ROI_PAC: $date1_$date2_baseline.rsc, $date1-$date2_2rlks.amp.rsc, $date1-$date2-sim_SIM_2rlks.int.rsc, $date1-$date2.amp.rsc, geo_$date1-$date2_2rlks.amp, geo_$date1-$date2_2rlks.cor, geo_$date1-$date2_2rlks.cor.rsc. This page serves as the instructions for running the FSH software over this test example directory. Finally, a image ROI_PAC.jpeg shows the final output of 3-scene mosaic map (GeoTiff format) overlaid on Google Earth in a QGIS window.

Note: all of the ALOS images files have already been margin-cropped and geocoded in the pre-processing by ROI_PAC as descried here.

  1. Run the 1-command FSH auto-inversion as described here

    python <full_path_to_directory_of_scripts>forest_stand_height.py 3 2 2 5 \
    "linkfile.txt" \
    "flagfile.txt" \
    "Howland_LVIS_NaN.tif" \
    "Maine_NLCD2011_nonwildland.tif" \
    "<full_path_to_directory_of_test_example>" \
    "gif json kml mat tif" \
    --flag_diff=1 --flag_error=1  --flag_proc=0
    
  2. Run the 1-command FSH mosaicking as described here

    python <full_path_to_directory_of_scripts>create_mosaic.py \
    "<full_path_to_directory_of_test_example>" "3sc_mosaic.tif" 
    
  3. Open the final output 3sc_mosaic.tif in QGIS.

Note: We use <> symbol as representation of a directory, don't type it as input. If the directory of scripts are added to the path and Python path environmental variables, it can be omitted.