An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox

In this study, landslide susceptibility maps (LSM) of the Akıncılar region were produced with the methods of frequency ratio (FR), information value (IV), logistic regression (LR), random forest (RF), and multi-layer perceptron (MLP) by using a new GIS-based toolbox (LSAT, Landslide Susceptibility A...

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Veröffentlicht in:	Environmental earth sciences Jg. 80; H. 6; S. 217
1. Verfasser:	Polat, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021 Springer Nature B.V
Schlagworte:	Biogeosciences Earth and Environmental Science Earth Sciences Earthquakes Environmental Science and Engineering Geochemistry Geographic information systems Geographical information systems Geology Hydrology/Water Resources Landslides Landslides & mudslides Methods Model accuracy Multilayers Original Article prediction regression analysis Support vector machines Susceptibility Terrestrial Pollution Geographic information system (GIS) Landslide susceptibility Weka Akıncılar Python scripting
ISSN:	1866-6280, 1866-6299
Online-Zugang:	Volltext
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