The Application of a Data-Driven Method for Spatial Analysis and Prediction of Gully Erosion Susceptibility-Reference-Cited by-同舟云学术

The Application of a Data-Driven Method for Spatial Analysis and Prediction of Gully Erosion Susceptibility

Published:2022 Issue: Volume: Page:27-51
ISSN:2366-8865
Container-title:Methodological Approaches in Physical Geography
language:
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Author:

Gideon Didams,Mustafa Firuza Begham

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-07113-3_3

Reference72 articles.

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2. Abdulkadir TS, Muhammad RUM, Okeola OG, Khamaruzaman WY, Adelodun B, Aremu SA (2020) Spatial analysis and prediction of soil erosion in a complex watershed of Cameron Highlands, Malaysia. In: Shit P, Pourghasemi H, Bhunia G (eds) Gully Erosion Studies from India and Surrounding Regions. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham

3. Adediji A, Jeje LK, Ibitoye MO (2013) Urban development and informal drainage patterns: gully dynamics in Southwestern Nigeria. Appl Geogr 40:90–102

4. Alireza A, Artemi C, John PT (2019) Spatial pattern analysis and prediction of gully erosion using novel hybrid model of entropy-weight of evidence. Water 1129(11)

5. Amiri M, Pourghasemi HR, Ghanbarian GA, Afzali SF (2019) Assessment of the importance of gully erosion effective factors using Boruta algorithm and its spatial modeling and mapping using three machine learning algorithms. Geoderma 340:55–69

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