An ensemble approach of bi-variate statistical models with soft-computing techniques for GIS-based landslide susceptibility zonation in the Kalimpong region of Darjeeling Himalaya, India
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s10668-024-04592-8.pdf
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4. Arabameri, A., Pradhan, B., Rezaei, K., & Lee, C. W. (2019). Assessment of landslide susceptibility using statistical- and artificial intelligence-based FR–RF integrated model and multiresolution DEMs. Remote Sensing, 11(9), 999. https://doi.org/10.3390/rs11090999
5. Bai, S. B., Wang, J., Lü, G. N., Zhou, P. G., Hou, S. S., & Xu, S. N. (2010). GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China. Geomorphology, 115(1–2), 23–31. https://doi.org/10.1016/j.geomorph.2009.09.025
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