Land Cover Classification Based on UAV Photogrammetry and Deep Learning for Supporting Mine Reclamation: A Case Study of Mae Moh Mine in Lampang Province, Thailand

Land Cover Classification Based on UAV Photogrammetry and Deep Learning for Supporting Mine Reclamation: A Case Study of Mae Moh Mine in Lampang Province, Thailand

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Detailed, accurate, and frequent mapping of land cover are the prerequisite regarding areas of reclaimed mines and the development of sustainable project-level for goals. Mine reclamation is essential as the extractive organizations are bounded by-laws that have been established by stakeholders to...

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Bibliographic Details
Main Authors: Tejendra K. Yadav, Polpreecha Chidburee, Nattapon Mahavik
Format: Article
Language:English
Published: Environmental Research Institute, Chulalongkorn University 2021-10-01
Series:Applied Environmental Research
Subjects:
Land cover classification
Unmanned Aerial Vehicle (UAV)
Photogrammetry
Deep learning (DL)
Convolution neural network (CNN)
Online Access:https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/245734

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https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/245734

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