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

Show other versions (3)

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...

Full description

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/index.php/aer/article/view/245734

Similar Items

Similar Items