Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment

This research presents the results of the GIS-based statistical models for generation of landslide susceptibility mapping using geographic information system (GIS) and remote-sensing data for Cameron Highlands area in Malaysia. Ten factors including slope, aspect, soil, lithology, NDVI, land cover,...

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Detalles Bibliográficos
Autores principales: Shahabi, Himan, Hashim, Mazlan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405769/
https://www.ncbi.nlm.nih.gov/pubmed/25898919
http://dx.doi.org/10.1038/srep09899

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405769/
https://www.ncbi.nlm.nih.gov/pubmed/25898919
http://dx.doi.org/10.1038/srep09899

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