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Download the directory "test_example_ROIPAC" from the link and move into the sub-directory "test_example_ROIPAC".
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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 subfolderint_$date1_$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 imageROI_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.
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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
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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"
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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.