Slope Units Delineation
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Description
Details: The software r.slopeunits requires a DEM, an optional raster layer showing alluvial plains, and the following user-defined parameters:
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the initial flow accumulation area threshold (t in square meters);
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the reduction factor r (integer, >1), that is used to calculate, iteratively, new values for the flow accumulation area threshold (t = t-t/r). Values larger than 5 are recommended;
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the minimum surface area for the slope units (a in square meters);
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the minimum circular variance of terrain aspect within a slope units (c, varies between 0 and 1, where 0 means no variance, i.e. cells dip in the same direction, and 1 means maximum variance);
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the maximum surface area for the slope units (maxarea, in square meters, optional);
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threshold area value for the cleaning procedures (cleansize, in square meters, used to remove very small slope units that may occur give some geomorphological conditions).
Software
Details:
- Download for GRASS 6.4 slu_grass64.tgz
- Download for GRASS 7.0 slu_grass70.tgz
- Download for GRASS 7.8 slu_grass78.tgz
- Download for GRASS 8.4 and newer slu_grass84.zip
- Download for Windows users rslopeunits_win_grass84.zip
Data (ready-to-use maps)
Italy: national map
Italy: landslide susceptibility maps
Italy: rockfall hazard
Himalaya (mostly Nepal)
Benchmark dataset and workflow
Requirements, installation and run
Details:
The software have been tested starting on Ubuntu 14.04 LTS server but should run on a generic GNU/Linux machine. Requirements: our software require GRASS GIS 7.*, Python, Bash. The two files contained in the tar.gz archives (one python script, one bash script) must be copied in the “scripts” folder of the GRASS GIS installation directory. They must be executable (see below). A typical approach, for the installation, is (replace grass78 for previous versions): # open a bash shell # change working directory to the download folder, e.g.: cd /home/$USER/Downloads # move the files into the scripts folder of the grass installation, e.g.: mv r.slopeunits /usr/lib/grass78/scripts
mv clean_method_3.sh /usr/lib/grass78/scripts # give execution rights chmod ugo+x /usr/lib/grass78/scripts/r.slopeunits chmod ugo+x /usr/lib/grass78/scripts/clean_method_3.sh # run GRASS GIS in the location containing the digital elevation model type and: r.slopeunits --help # to see the options. The minimal command line to obtain a slope units delineation is r.slopeunits demmap=[dem] slumap=[output_SU_map] thresh=[t, square meters] circularvariance=[c] areamin=[a, square meters] reductionfactor=[r, r>2] maxiteration=[max number of iterations] # see: M. Alvioli, I. Marchesini, P. Reichenbach, M. Rossi, F. Fiorucci, F. Ardizzone, F. Guzzetti (https://doi.org/10.5194/gmd-9-3975-2016) # and: M. Alvioli, F. Guzzetti, I.Marchesini (https://doi.org/10.1016/j.geomorph.2020.107124) # and references therein for explanations, examples and additional options. # # please address comments, questions and bug fixes rquests either to: # ivan.marchesini[AT]irpi.cnr.it; # massimiliano.alvioli[AT]irpi.cnr.it #
Citations
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Alvioli M., Loche, M., Jacobs et al., (2024).
A benchmark dataset and workflow for landslide susceptibility zonation.
Earth-Science Reviews, 258, 104927.
https://doi.org/10.1016/j.earscirev.2024.104927 -
Alvioli M., Falcone G., Mendicelli A., Mori F., Fiorucci F., Ardizzone F., Moscatelli M. (2023).
Seismically induced rockfalls hazards from ground motion scenarios in Italy.
Geomorphology 429, 108652.
https://doi.org/10.1016/j.geomorph.2023.108652 -
Alvioli M., Marchesini I., Pokharel B., Gnywali K.R., Lim S. (2022).
Geomorphological slope units of the Himalayas.
Journal of Maps 18, 300-313.
https://doi.org/10.1080/17445647.2022.2052768 -
Loche M., Alvioli M., Marchesini I., Bakka H., Lombardo L. (2022).
Landslide susceptibility maps of Italy: lesson learnt from dealing with multiple landslide classes and the uneven spatial distribution of the national inventory.
Earth-Science Reviews 232, 104125.
https://doi.org/10.1016/j.earscirev.2022.104125 -
Pokharel B., Alvioli M., Lim S. (2021).
Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics.
Scientific Reports 11, 21333.
https://doi.org/10.1038/s41598-021-00780-y -
Alvioli M., Guzzetti F., Marchesini I., (2020).
Parameter-free delineation of slope units and terrain subdivision of Italy.
Geomorphology 258, 107124.
https://doi.org/10.1016/j.geomorph.2020.107124
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Alvioli M., Marchesini I., Reichenbach P., Rossi M., Ardizzone F., Fiorucci F., Guzzetti F. (2016).
Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling.
Geoscientific Model Development 9, 3975-3991.
https://doi.org/10.5194/gmd-9-3975-2016