Assessment of landslide susceptibility using machine learning classifiers in Ziz upper watershed, SE Morocco

IF 1.1 4区地球科学 Q4 ENVIRONMENTAL SCIENCES

Physical Geography Pub Date : 2023-08-21 DOI:10.1080/02723646.2023.2250174

Mohamed Manaouch, M. Sadiki, Mohamed Aghad, Quoc Bao Pham, Mohcine Batchi, Jamal Al Karkouri

引用次数: 0

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利用机器学习分类器评价摩洛哥东南部齐兹上游流域的滑坡易感性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical Geography 地学-地球科学综合

CiteScore

3.60

自引率

0.00%

发文量

审稿时长

6 months

期刊介绍： Physical Geography disseminates significant research in the environmental sciences, including research that integrates environmental processes and human activities. It publishes original papers devoted to research in climatology, geomorphology, hydrology, biogeography, soil science, human-environment interactions, and research methods in physical geography, and welcomes original contributions on topics at the intersection of two or more of these categories.