If pre and post storm profiles returned to similar elevations within the sampled profile length, the change point detection would select the most seaward point and incorrectly calculate the swash zone volumes. This change looks at the slope of the difference between the two profiles and assumes that the difference between the two profiles should be increasing at the location of the change point.
This is useful where we have a structure or rock wall and want to specify that we don't know what the observed storm regime is. In this case, we'll put a 'unknown' string in the ./data/raw/profile_features observed storm impact csv field and overwrite it with a NaN in our pandas dataframe.
Logging now uses .yaml file and is stored in the utils.py file. New CLI entrypoint has been created cli.py to deal with relative import issues - when running the analysis, this should be used as the main entrypoint.
Mitch has updated profiles.mat to include more information, like time of LIDAR acquisition, profile flags and recovery profiles. The updates to the code parse this new information.
Christopher Leaman
Chris Leaman