Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function-logistic regression algorithm-Reference-Cited by-同舟云学术

Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function-logistic regression algorithm

Published:2018-09-25 Issue:11 Volume:29 Page:4035-4049
ISSN:1085-3278
Container-title:Land Degradation & Development
language:en
Short-container-title:Land Degrad Dev

Author:

Arabameri Alireza¹,Pradhan Biswajeet²³^ORCID,Rezaei Khalil⁴,Yamani Mojtaba⁵,Pourghasemi Hamid Reza⁶,Lombardo Luigi⁷

Affiliation:

1. Department of Geomorphology; Tarbiat Modares University; Tehran Iran

2. Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT; University of Technology Sydney; NSW Sydney Australia

3. Department of Energy and Mineral Resources Engineering, Choongmu-gwan; Sejong University; Seoul Republic of Korea

4. Faculty of Earth Sciences; Kharazmi University; Tehran Iran

5. Department of Geomorphology; Tehran University; Tehran Iran

6. Department of Natural Resources and Environmental Engineering, College of Agriculture; Shiraz University; Shiraz Iran

7. CEMSE Division; King Abdullah University of Science and Technology; Thuwal Saudi Arabia

Funder

University of Technology Sydney

Publisher

Wiley

Subject

Soil Science,General Environmental Science,Development,Environmental Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ldr.3151/fullpdf

Reference60 articles.

1. Susceptibility mapping of gully erosion using GIS-based statistical bivariate models: A case study from Ali Al-Gharbi District, Maysan Governorate, southern Iraq;Al-Abadi;Environmental Earth Sciences,2018

2. Application of an evidential belief function model in landslide susceptibility mapping;Althuwaynee;Computers and Geosciences,2012

3. A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping;Althuwaynee;Computers and Geosciences,2014

4. Applying different scenarios for landslide spatial modeling using computational intelligence methods;Arabameri;Environmental Earth Sciences,2017

5. A biophysical and economic assessment of a community-based rehabilitated gully in the Ethiopian highlands;Ayele;Land Degradation & Development,2016

Cited by 103 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Linkages between gully erosion susceptibility and hydrological connectivity in Tropical sub-humid river basin: Application of Machine learning algorithms and Connectivity Index;CATENA;2024-08

2. Groundwater spring potential mapping: Assessment the contribution of hydrogeological factors;Advances in Space Research;2024-07

3. Landslide Hazard Analysis Combining BGA-Net-Based Landslide Susceptibility Perception and Small Baseline Subset Interferometric Synthetic Aperture Radar in the Baige Section in the Upper Reaches of Jinsha River;Remote Sensing;2024-06-12

4. Spatial scaling effects of gully erosion in response to driving factors in southern China;Journal of Geographical Sciences;2024-05

5. Modeling gully initiation by two codeless nonlinear methods: A case study in a small watershed on the Tibetan Plateau;International Soil and Water Conservation Research;2024-03