Landslide susceptibility prediction using frequency ratio model: a case study of Uttarakhand, Himalaya (India)

Author:

Singh PrafullORCID,Sur Ujjwal,Rai Praveen Kumar,Singh Sushant K.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology

Reference70 articles.

1. Abedini, M., Tulabi, S.: Assessing LNRF, FR, and AHP models in landslide susceptibility mapping index: a comparative study of nojian watershed in Lorestan province, Iran. Environ. Earth Sci. 77(11), 405 (2018)

2. Akgun, A.: A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: A case study at İzmir, Turky.  Landslides 9(1), 93–106 (2012)

3. Al-Saady, Y., Merkel, B., Al-Tawash, B., Qusay Al-Suhail: Land use and land cover (LULC) mapping and change detection in the little Zab River Basin (LZRB), Kurdistan Region, NE Iraq and NW Iran. FOG-Freiberg Online Geoscience 43. (2015)

4. Bonham-Carter, G.F.: Geographic information systems for geoscientists-modeling with GIS. Comput. Methods Geosci. 13, 398 (1994)

5. Bui, D., Tien, B., Pradhan, O., Lofman, I., Revhaug, Oystein, B.D.: Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and bayesian regularized neural networks. Geomorphology. 171, 12–29 (2012)

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