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

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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Bibliografske podrobnosti

Principais autores:	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:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2019-05-01
Serija:	Sensors
Teme:	gully erosion machine learning ensemble algorithms geomorphology Geographic information science Kurdistan province
Online dostop:	https://www.mdpi.com/1424-8220/19/11/2444
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