Comparison of optimized data-driven models for landslide susceptibility mapping
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DOI: 10.1007/s10668-023-03212-1
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- Paul Sestraș & Ștefan Bilașco & Sanda Roșca & Sanda Naș & Mircea V. Bondrea & Raluca Gâlgău & Ioel Vereș & Tudor Sălăgean & Velibor Spalević & Sorin M. Cîmpeanu, 2019. "Landslides Susceptibility Assessment Based on GIS Statistical Bivariate Analysis in the Hills Surrounding a Metropolitan Area," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
- Ujjwal Sur & Prafull Singh & Praveen Kumar Rai & Jay Krishna Thakur, 2021. "Landslide probability mapping by considering fuzzy numerical risk factor (FNRF) and landscape change for road corridor of Uttarakhand, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13526-13554, September.
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Keywords
Landslide susceptibility map; Convolutional neural network; Deep learning; Kermanshah; Iran;All these keywords.
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