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

Bi R, Schleier M, Ehret D, Xiang W, Rohn J (2014)

Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2014

Journal

Environmental Earth Sciences Springer Verlag (Germany)

Publisher: Springer Verlag

Book Volume: 72

Pages Range: 1925-1938

Journal Issue: 6

DOI: 10.1007/s12665-014-3100-5

Authors with CRIS profile

Renneng Bi Lehrstuhl für Angewandte Geologie Markus Schleier Professur für Angewandte Geologie und Modellierung von Umweltsystemen Joachim Rohn Professur für Angewandte Geologie und Modellierung von Umweltsystemen

Involved external institutions

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

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://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.

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