Investigating the dynamic nature of landslide susceptibility in the Indian Himalayan region

Author:

Sharma AnkurORCID,Sandhu Har Amrit SinghORCID

Publisher

Springer Science and Business Media LLC

Reference61 articles.

1. Aditian, A., Kubota, T., & Shinohara, Y. (2018). Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology, 318, 101–111. https://doi.org/10.1016/j.geomorph.2018.06.006

2. Alsabhan, A. H., Singh, K., Sharma, A., Alam, S., Pandey, D. D., Rahman, S. A. S., Khursheed, A., & Munshi, F. M. (2022). Landslide susceptibility assessment in the Himalayan range based along Kasauli – Parwanoo road corridor using weight of evidence, information value, and frequency ratio. Journal of King Saud University - Science, 34(2). https://doi.org/10.1016/j.jksus.2021.101759

3. Ayalew, L., Yamagishi, H., & Ugawa, N. (2004). Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides, 1(1), 73–81. https://doi.org/10.1007/s10346-003-0006-9

4. Bălteanu, D., Micu, M., Jurchescu, M., Malet, J. P., Sima, M., Kucsicsa, G., Dumitrică, C., Petrea, D., Mărgărint, M. C., Bilaşco, Ş, Dobrescu, C. F., Călăraşu, E. A., Olinic, E., Boți, I., & Senzaconi, F. (2020). National-scale landslide susceptibility map of Romania in a European methodological framework. Geomorphology, 371, 107432. https://doi.org/10.1016/j.geomorph.2020.107432

5. Batar, A. K., & Watanabe, T. (2021). Landslide susceptibility mapping and assessment using geospatial platforms and weights of evidence (WoE) method in the Indian Himalayan region: Recent developments, gaps, and future directions. ISPRS International Journal of Geo-Information, 10(3). https://doi.org/10.3390/ijgi10030114

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