Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: a new modular toolkit for landslide susceptibility assessment

Torizin, Jewgenij; Schüßler, Nick; Fuchs, Michael

doi:https://doi.org/10.5194/gmd-15-2791-2022

Articles | Volume 15, issue 7

https://doi.org/10.5194/gmd-15-2791-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-2791-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 7

Development and technical paper

|

06 Apr 2022

Development and technical paper |

| 06 Apr 2022

Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: a new modular toolkit for landslide susceptibility assessment

Jewgenij Torizin, Nick Schüßler, and Michael Fuchs

Supplement

https://doi.org/10.5194/gmd-15-2791-2022-supplement

Data sets

BGR-EGHA/LSAT-TestData: LSAT- PMS - TestData (1.0.0) Georisk Assessment Northern Pakistan https://doi.org/10.5281/zenodo.5109620

Model code and software

BGR-EGHA/LSAT: LSAT PM v1.0.0b2 (1.0.0b2) Jewgenij Torizin and Nick Schüßler https://doi.org/10.5281/zenodo.5909726

Python scripts to plot figures in LSAT PM article Jewgenij Torizin and Nick Schüßler https://doi.org/10.5281/zenodo.5913626

BGR-EGHA/LSAT-Documentation: LSAT PM v1.0.0b2 - Documentation (1.0.0b2) Jewgenij Torizin and Nick Schüßler https://doi.org/10.5281/zenodo.5909744

Short summary

With LSAT PM we introduce an open-source, stand-alone, easy-to-use application that supports scientific principles of openness, knowledge integrity, and replicability. Doing so, we want to share our experience in the implementation of heuristic and data-driven landslide susceptibility assessment methods such as analytic hierarchy process, weights of evidence, logistic regression, and artificial neural networks. A test dataset is available.