Landslide susceptibility analysis based on ArcGIS and Artificial Neural Network for a large catchment in Three Gorges region, China

Journal article
(Original article)


Publication Details

Author(s): Bi R, Schleier M, Ehret D, Xiang W, Rohn J
Journal: Environmental Earth Sciences
Publisher: Springer Verlag
Publication year: 2014
Volume: 72
Journal issue: 6
Pages range: 1925-1938
ISSN: 1866-6280
eISSN: 1866-6299


FAU Authors / FAU Editors

Bi, Renneng
Lehrstuhl für Angewandte Geologie
Rohn, Joachim Prof. Dr.
Professur für Angewandte Geologie
Schleier, Markus
Professur für Angewandte Geologie


External institutions
China University of Geosciences / 中国地质大学
Landesamt für Geologie, Rohstoffe und Bergbau (LGRB)


How to cite

APA:
Bi, R., Schleier, M., Ehret, D., Xiang, W., & Rohn, J. (2014). Landslide susceptibility analysis based on ArcGIS and Artificial Neural Network for a large catchment in Three Gorges region, China. Environmental Earth Sciences, 72(6), 1925-1938. https://dx.doi.org/10.1007/s12665-014-3100-5

MLA:
Bi, Renneng, et al. "Landslide susceptibility analysis based on ArcGIS and Artificial Neural Network for a large catchment in Three Gorges region, China." Environmental Earth Sciences 72.6 (2014): 1925-1938.

BibTeX: 

Last updated on 2018-13-10 at 21:50