Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Use of GIS and Remote Sensing for Landslide Susceptibility Mapping

Use of GIS and Remote Sensing for Landslide Susceptibility Mapping
View Sample PDF
Author(s): Arzu Erener (Kocaeli University, Turkey), Gulcan Sarp (Suleyman Demirel University, Turkey) and Sebnem H. Duzgun (Middle East Technical University, Turkey)
Copyright: 2018
Pages: 12
Source title: Encyclopedia of Information Science and Technology, Fourth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-2255-3.ch304


View Use of GIS and Remote Sensing for Landslide Susceptibility Mapping on the publisher's website for pricing and purchasing information.


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 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.

Related Content

Yair Wiseman. © 2021. 11 pages.
Mário Pereira Véstias. © 2021. 15 pages.
Mahfuzulhoq Chowdhury, Martin Maier. © 2021. 15 pages.
Gen'ichi Yasuda. © 2021. 12 pages.
Alba J. Jerónimo, María P. Barrera, Manuel F. Caro, Adán A. Gómez. © 2021. 19 pages.
Gregor Donaj, Mirjam Sepesy Maučec. © 2021. 14 pages.
Udit Singhania, B. K. Tripathy. © 2021. 11 pages.
Body Bottom