Assessing gully erosion susceptibility using topographic derived attributes, multi-criteria decision-making, and machine learning classifiers

Geomatics, Natural Hazards and Risk

Abdullah M. Alamri¹  Alaa M. Al-Abadi²  Ahmed J. Al-Bawi²  Biswajeet Pradhan³ 

[1] Department of Geology and Geophysics, College of Science, King Saud University, Riyadh, Saudi Arabi;Department of Geology, College of Science, University of Basrah, Basrah, Ira;The Centre for Advanced Modelling and Geospatial Information Systems, Faculty of Engineering and IT, University of Technology Sydney, NSW, Australi;Department of Energy and Mineral Resources Engineering, Sejong University, Gwangjin-gu, Seoul, Kore;Earth Observation Center, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysi;

关键词: Gully erosion;    gullies;    GIS;    remote sensing;    MCDM;    TOPSIS;    Iraq;   

DOI  :  10.1080/19475705.2021.1994024

来源: Taylor & Francis

【 摘 要 】

Gully erosion is an erosive process that contributes considerably to the shape of the earth’s surface and is a major contributor to land degradation and soil loss. This study applied a methodology for mapping gully erosion susceptibility using only topographic related attributes derived from a medium-resolution digital elevation model (DEM) and a hybrid analytical hierarchy process (AHP) and the technique for an order of preference by similarity to ideal solutions (TOPSIS) and compare the results with naïve Bayes (NB) and support vector machine learning (SVM) algorithms. A transboundary sub-basin in an arid area of southern Iraq was selected as a case study. The performance of the developed models was compared using the receiver operating characteristic curve (ROC). Results showed that the areas under the ROC were 0.933, 0.936, and 0.955 for AHP-TOPSIS, NB, and SVM with radial basis function, respectively, which indicated that the performance of simply derived AHP-TOPSIS model is similar to sophisticated NB and SVM models. Findings indicated that a medium resolution DEM and AHP-TOPSIS are a promising tool for mapping of gully erosion susceptibility.

【 授权许可】

CC BY