Pixel and Object-Based Machine Learning Classification Schemes for Lithological Mapping Enhancement of Semi-Arid Regions Using Sentinel-2A Imagery: A Case Study of the Southern Moroccan Meseta

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Imane Serbouti, Mohammed Raji, Mustapha Hakdaoui, Biswajeet Pradhan, Chang-Wook Lee and Abdullah M. Alamri

IEEE access, Vol.9, pp.119262-119278

2021

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Title: Pixel and Object-Based Machine Learning Classification Schemes for Lithological Mapping Enhancement of Semi-Arid Regions Using Sentinel-2A Imagery: A Case Study of the Southern Moroccan Meseta
Creators - without role: Imane Serbouti - University of Hassan II Casablanca
Mohammed Raji - University of Hassan II Casablanca
Mustapha Hakdaoui - University of Hassan II Casablanca
Biswajeet Pradhan - University of Technology Sydney
Chang-Wook Lee - Kangwon National University
Abdullah M. Alamri - King Saud University
Publication Details: IEEE access, Vol.9, pp.119262-119278
Identifiers: 9949332808331
Academic Unit: King Saud University
Language: English
Resource Type: Journal article