Development of risk maps for flood, landslide, and soil erosion using machine learning model
Author:
Funder
Sari Agricultural Sciences and Natural Resources University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11069-024-06670-6.pdf
Reference91 articles.
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3. Alqadhi S, Mallick J, Talukdar S, Bindajam AA, Van Hong N, Saha TK (2022) Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia. Environ Sci Oollut R 29(3):3743–3762
4. Arabameri A, Rezaei K, Cerdà A, Conoscenti C, Kalantari Z (2019) A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran. Sci Total Environ 660:443–458. https://doi.org/10.1016/j.scitotenv.2019.01.021
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