Detection of violations of open-pit mining lease boundaries using Sentinel-2 MSI data in the case of Lao Cai and Yen Bai provinces of North Vietnam
https://doi.org/10.17073/2500-0632-2022-12-68
Abstract
Illegal mining, including the violation of lease boundaries during the extraction of mineral deposits in Vietnam, has witnessed a significant surge in recent years, leading to substantial environmental degradation. Due to the remote locations of mining areas in relation to settlements, the detection of illegal mining activities using conventional methods poses considerable challenges. This study presents a methodology for identifying lease boundary violations in open-pit mining of mineral deposits by utilizing high-resolution satellite images from the Sentinel-2 MSI system. The proposed methodology involves overlaying Sentinel-2 MSI radar-acquired satellite images to identify disparities between approved lease boundaries and actual boundaries of mining areas. The research focuses on the mineral-rich provinces of Lao Cai and Yen Bai in North Vietnam. The findings of this research rhold great potential for effectively monitoring and promptly detecting violations of mining lease boundaries.
About the Authors
X. B. Tran
Hanoi University of Natural Resources and Environment
Viet Nam
Viet Nam
Xuan Bien Tran – Lecturer
Scopus ID 57951801800
Hanoi
L. H. Trinh
Le Quy Don Technical University
Viet Nam
Viet Nam
Le Hung Trinh– Cand. Sci. (Eng.), Associate Professor
Scopus ID 57035066200
Hanoi
Q. L. Nguyen
Hanoi University of Mining and Geology
Viet Nam
Viet Nam
Quoc Long Nguyen – Cand. Sci. (Mine Surveying), Head of Mine Surveying Department
Scopus ID 57204138384
Hanoi
Yu. M. Levkin
Russian Union of Surveyors
Russian Federation
Russian Federation
Yuri M. Levkin – Dr. Sci. (Eng.), Professor
Scopus ID 57297910200
Moscow
I. V. Zenkov
Siberian Federal University
Russian Federation
Russian Federation
Igor V. Zenkov – Dr. Sci. (Eng.), Professor, Department of Ecology and Nature Management
Scopus ID 57188958340
Krasnoyarsk
T. H. Tong
Hanoi University of Natural Resources and Environment
Viet Nam
Viet Nam
Thi Hanh Tong – Lecturer
Scopus ID 57314239400
Hanoi
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Review
Supporting agencies: The researchers express their gratitude to the research sponsor for providing all the necessary materials, enabling the timely completion of the project. These materials played a crucial role in addressing the objectives outlined in the project titled “Monitoring of the boundaries of mining areas in some northern provinces of Vietnam using remote sensing and UAV imaging”, with code: SXTN.2020.08.01.
For citations:
Tran X.B., Trinh L.H., Nguyen Q.L., Levkin Yu.M., Zenkov I.V., Tong T.H. Detection of violations of open-pit mining lease boundaries using Sentinel-2 MSI data in the case of Lao Cai and Yen Bai provinces of North Vietnam. Gornye nauki i tekhnologii = Mining Science and Technology (Russia). 2023;8(2):173–182. https://doi.org/10.17073/2500-0632-2022-12-68
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