A novel ensemble artificial intelligence approach for gully erosion mapping in a semi-arid watershed (Iran)

• Main Authors: Dieu, Tien Bui, Shirzadi, Ataollah, Shahabi, Himan, Chapi, Kamran, Omidavr, Ebrahim, Pham, Binh Thai, Asl, Dawood Talebpour, Khaledian, Hossein, Pradhan, Biswajeet, Panahi, Mahdi, Ahmad, Baharin, Rahmani, Hosein, Gróf, Gyula, Lee, Saro
• Format: Article
• Language: English
• Published: MDPI AG 2019
• Subjects: NA Architecture; TH434-437 Quantity surveying
• Online Access: http://eprints.utm.my/id/eprint/88715/1/BaharinAhmad2011_ANovelEnsembleArtificialIntelligenceApproach.pdf; http://eprints.utm.my/id/eprint/88715/; http://dx.doi.org/10.3390/s19112444

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,...