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Key Methods

Code for Key Methods course. This is currently for week 10's session using python to process lidar data to make a biomass map.

Convert MODIS

MODIS comes in HDF-EOS format, which cannot easily be ready by QGIS. This can be converted to geotiff with:

scripts/convert_modis/convertMODIS.csh

Pre-process data

There is insufficient space on Noteable to store the full-res geotiffs. So we shapp coarsen them to 10 m resolution first. The mean elevation for the DTM and the maximum elevation for the DSM. This uses an Rscript:

In

/geos/netdata/key_methods/week10/ALS/res3m

Move the DTMs and DSMs to a subdirectory with that name.

Run Rscript /home/shancoc2/teaching/key_methods/2020-21/week10/code/data/scripts/preProcess1.R /home/shancoc2/teaching/key_methods/2020-21/week10/code/data/scripts/rename1.csh

And then in /geos/netdata/key_methods/week10/ALS/res10m

Run Rscript /home/shancoc2/teaching/key_methods/2020-21/week10/code/data/scripts/preProcess2.R /home/shancoc2/teaching/key_methods/2020-21/week10/code/data/scripts/rename2.csh

data_scripts

This contains scripts to generate the graphs in the slides. It is taken from environmental geography.