This plugin finds non-moving areas in a DoD (Difference of DEMs) based on empirical thresholds and generate an interpolated surface (IDW) from points sampled in those non-moving areas. The surface is used to correct the bowl effect.
The algorithm will work for DoDs generated from DEM containing very coarse sediments like Coastal Boulder Deposits (CBDs). It is not going to work with DoDs created with DEMs of sandy or gravel beach.
This is an experimental plugin.
Download the repository as .zip. Open QGIS and install the plugin :
Click on Plugins > Manage and Install Plugins > Install from ZIP.
If you have lot a of file to process, you probably may want to use a batch
process.
The repo contain a tool that allows you to generate a .json parameter file
that can be load in the batch processing tool of QGIS.
For the tool to work, your files need to be sorted by directory of places in a
directory and each file should contain years in the format YYYY_YYYY. Look at
the example :
.
├── Katlahraun
│ ├── Katlahraun_2015_2016_DOD_mask_cordon.tif
│ ├── Katlahraun_2016_2017_DOD_mask_cordon.tif
│ ├── Katlahraun_2017_2018_DOD_mask_cordon.tif
│ ├── Katlahraun_2018_2019_DOD_mask_cordon.tif
│ ├── Katlahraun_2019_2021_DOD_mask_cordon.tif
│ ├── Katlahraun_2021_2022_DOD_mask_cordon.tif
│ └── Katlahraun_2022_2023_DOD_mask_cordon.tif
├── Kerling
│ ├── Kerling_2015_2016_DOD_mask_cordon.tif
│ ├── Kerling_2016_2017_DOD_mask_cordon.tif
│ ├── Kerling_2017_2018_DOD_mask_cordon.tif
│ ├── Kerling_2018_2021_DOD_mask_cordon.tif
│ ├── Kerling_2021_2022_DOD_mask_cordon.tif
│ └── Kerling_2022_2023_DOD_mask_cordon.tif
If you have a similar directory, you can run a similar command in your terminal (run it at the root of the repo) :
python -m param_gen.gen_param "input/dir/DODs" "output/dir/results" "param_gen/params.json" --years 2015_2016 --places Site_1 Site_2For a quick help :
python -m param_gen.gen_param -hBy default, --year is None so as --places, they are optional.