Identifies large trees lost by comparing lidar from different years and calculates the value of this loss
usage: run_all.py [-h] extent [-e EYEAR] [-l LYEAR] [--earlier-product PRODUCT] [--later-product PRODUCT] [--odir ODIR] [--name NAME]
e.g.
python .\run_all.py .\cambridge_extent.shp -e 2019 -l 2023 --earlier-product national --later-product national --odir outputs --name cambridge
Arguments:
extent path to shapefile showing region of interest
--help, -h show this help message and exit
--earlier-year, -e earlier year for comparison
--later-year, -l later year for comparison
--earlier-product, -ep type of product to use for earlier year: lidar (lidar point cloud) or national (national lidar programme point cloud)
--later-product, -lp type of product to use for later year: lidar (lidar point cloud) or national (national lidar programme point cloud)
--odir output directory
--name name of the stduy area (to be given to directory names)
If no years or products provided, you will be provided with the options and asked to select a product and year for the earlier and later cases.