GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

Gully erosion destroys agricultural and domestic grazing land in many countries, especially those with arid and semi-arid climates and easily eroded rocks and soils. It also generates large amounts of sediment that can adversely impact downstream river channels. The main objective of this research i...

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Bibliographic Details
Main Authors: Viet-Ha Nhu, Saeid Janizadeh, Mohammadtaghi Avand, Wei Chen, Mohsen Farzin, Ebrahim Omidvar, Ataollah Shirzadi, Himan Shahabi, John J. Clague, Abolfazl Jaafari, Fatemeh Mansoorypoor, Binh Thai Pham, Baharin Bin Ahmad, Saro Lee
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
gully erosion
watershed management
machine learning
hybrid models
gis
iran
Online Access:https://www.mdpi.com/2076-3417/10/6/2039

Internet

https://www.mdpi.com/2076-3417/10/6/2039

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