A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)

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In this study, we introduced a novel hybrid artificial intelligence approach of rotation forest (RF) as a Meta/ensemble classifier based on alternating decision tree (ADTree) as a base classifier called RF-ADTree in order to spatially predict gully erosion at Klocheh watershed of Kurdistan province,...

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Bibliographic Details
Main Authors: Dieu Tien Bui, Ataollah Shirzadi, Himan Shahabi, Kamran Chapi, Ebrahim Omidavr, Binh Thai Pham, Dawood Talebpour Asl, Hossein Khaledian, Biswajeet Pradhan, Mahdi Panahi, Baharin Bin Ahmad, Hosein Rahmani, Gyula Gróf, Saro Lee
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
gully erosion
machine learning
ensemble algorithms
geomorphology
Geographic information science
Kurdistan province
Online Access:https://www.mdpi.com/1424-8220/19/11/2444

Internet

https://www.mdpi.com/1424-8220/19/11/2444

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