Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping

Autor: Mehmet Lutfi Suzen, Basak Sener Kaya
Rok vydání: 2012
Předmět:
Zdroj: International Journal of Digital Earth. 5:338-355
ISSN: 1753-8955
1753-8947
DOI: 10.1080/17538947.2011.586443
Popis: The aim of this study was to determine how well the landslide susceptibility parameters, obtained by data-dependent statistical models, matched with the parameters used in the literature. In order to achieve this goal, 20 different environmental parameters were mapped in a well-studied landslide-prone area, the Asarsuyu catchment in northwest Turkey. A total of 4400 seed cells were generated from 47 different landslides and merged with different attributes of 20 different environmental causative variables into a database. In order to run a series of logistic regression models, different random landslide-free sample sets were produced and combined with seed cells. Different susceptibility maps were created with an average success rate of nearly 80%. The coherence among the models showed spatial correlations greater than 90%. Models converged in the parameter selection peculiarly, in that the same nine of 20 were chosen by different logistic regression models. Among these nine parameters, lithology...
Databáze: OpenAIRE
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