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

This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python. Primarily developed to conduct landslide susceptibility analysis (LSA), it is not limited to this issue and applies to any other research dea...

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Published inGeoscientific Model Development Vol. 15; no. 7; pp. 2791 - 2812
Main Authors Torizin, Jewgenij, Schüßler, Nick, Fuchs, Michael
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 06.04.2022
Copernicus Publications
Subjects
Algorithms
Analytic hierarchy process
Artificial neural networks
Case studies
Classification
Computer programs
Cooperation
Data management
Design
Evaluation
Geographic information systems
Geographical information systems
Heuristic
Information systems
Landslides
Machine learning
Mathematical models
Modelling
Modular structures
Neural networks
Remote sensing
Software
Standard data
Statistical analysis
Statistical models
Susceptibility
Toolkits
User interface
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Abstract This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python. Primarily developed to conduct landslide susceptibility analysis (LSA), it is not limited to this issue and applies to any other research dealing with supervised spatial binary classification. LSAT PM provides efficient interactive data management supported by handy tools in a standardized project framework. The application utilizes open standard data formats, ensuring data transferability to all geographic information systems. LSAT PM has a modular structure that allows extending the existing toolkit by additional tools. The LSAT PM v1.0.0b implements heuristic and data-driven methods: analytical hierarchy process, weights of evidence, logistic regression, and artificial neural networks. The software was developed and tested over the years in different projects dealing with landslide susceptibility assessment. The emphasis on model uncertainties and statistical model evaluation makes the software a practical modeling tool to explore and evaluate different native and foreign LSA models. The software distribution package includes comprehensive documentation. A dataset for testing purposes of the software is available. LSAT PM is subject to continuous further development.
AbstractList This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python. Primarily developed to conduct landslide susceptibility analysis (LSA), it is not limited to this issue and applies to any other research dealing with supervised spatial binary classification. LSAT PM provides efficient interactive data management supported by handy tools in a standardized project framework. The application utilizes open standard data formats, ensuring data transferability to all geographic information systems. LSAT PM has a modular structure that allows extending the existing toolkit by additional tools. The LSAT PM v1.0.0b implements heuristic and data-driven methods: analytical hierarchy process, weights of evidence, logistic regression, and artificial neural networks. The software was developed and tested over the years in different projects dealing with landslide susceptibility assessment. The emphasis on model uncertainties and statistical model evaluation makes the software a practical modeling tool to explore and evaluate different native and foreign LSA models. The software distribution package includes comprehensive documentation. A dataset for testing purposes of the software is available. LSAT PM is subject to continuous further development.
This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python. Primarily developed to conduct landslide susceptibility analysis (LSA), it is not limited to this issue and applies to any other research dealing with supervised spatial binary classification. LSAT PM provides efficient interactive data management supported by handy tools in a standardized project framework. The application utilizes open standard data formats, ensuring data transferability to all geographic information systems. LSAT PM has a modular structure that allows extending the existing toolkit by additional tools. The LSAT PM v1.0.0b implements heuristic and data-driven methods: analytical hierarchy process, weights of evidence, logistic regression, and artificial neural networks. The software was developed and tested over the years in different projects dealing with landslide susceptibility assessment. The emphasis on model uncertainties and statistical model evaluation makes the software a practical modeling tool to explore and evaluate different native and foreign LSA models. The software distribution package includes comprehensive documentation. A dataset for testing purposes of the software is available. LSAT PM is subject to continuous further development.
Audience Academic
Author Schüßler, Nick
Fuchs, Michael
Torizin, Jewgenij
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Snippet This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python....
This paper introduces the Landslide Susceptibility Assessment Tools - Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python....
This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python....
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SubjectTerms Algorithms
Analytic hierarchy process
Artificial neural networks
Case studies
Classification
Computer programs
Cooperation
Data management
Design
Evaluation
Geographic information systems
Geographical information systems
Heuristic
Information systems
Landslides
Machine learning
Mathematical models
Modelling
Modular structures
Neural networks
Remote sensing
Software
Standard data
Statistical analysis
Statistical models
Susceptibility
Toolkits
User interface
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Title Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: a new modular toolkit for landslide susceptibility assessment
URI https://www.proquest.com/docview/2647102272
https://doaj.org/article/1467151b6db24560b92eaef85cb93210
Volume 15
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