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Use of GIS and Remote Sensing for Landslide Susceptibility Mapping

Use of GIS and Remote Sensing for Landslide Susceptibility Mapping
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Author(s): Arzu Erener (Kocaeli University, Turkey), Gulcan Sarp (Suleyman Demirel University, Turkey) and Sebnem H. Duzgun (Middle East Technical University, Turkey)
Copyright: 2019
Pages: 15
Source title: Advanced Methodologies and Technologies in Engineering and Environmental Science
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7359-3.ch026

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Abstract

In recent years, geographical information systems (GISs) and remote sensing (RS) have proven to be common tools adopted for different studies in different scientific disciplines. GIS is defined as a set of tools for the input, storage, retrieval, manipulation, management, modeling, analysis, and output of spatial data. RS, on the other hand, can play a role in the production of a data and in the generation of thematic maps related to spatial studies. This study focuses on use of GIS and RS data for landslide susceptibility mapping. Five factors including normalized difference vegetation index (NDVI) and topographic wetness index (TWI), slope, lineament density, and distance to roads were used for the grid-based approach for landslide susceptibility mappings. Results of this study suggest that geographic information systems can effectively be used to obtain susceptibility maps by compiling and overlaying several data layers relevant to landslide hazards.

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