Archives
 
Year 2026
 
Issue 3 [06 - 2026], Year XXXV

Application of the mine-specific remote sensing ecological index for assessing eco-environmental quality in the Nhan Co bauxite mining area, Lam Dong province

https://mij.hoimovietnam.vn/en/archives?article=26034

  • Affiliations:

    1Hanoi University of Mining and Geology, 18 Pho Vien, Dong Ngac, Ha Noi, Vietnam 2Le Quy Don Technical University, 236 Hoang Quoc Viet, Nghia Do, Ha Noi, Vietnam

  • *Corresponding:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 21st-Mar-2026
  • Revised: 29th-Apr-2026
  • Accepted: 4th-May-2026
  • Online: 20th-June-2026
Pages: 32 - 41
Views: 80
View onlineView online
Downloads: 3
Downdload PDF
★★★★★Rating: , Total rating: 0
  • ★
  • ★
  • ★
  • ★
  • ★
Yours rating

Abstract:

Mining activities have significantly altered natural ecosystems, resulting in vegetation degradation, reduced soil moisture, changes in land surface temperature, and increased environmental pollution. This study aims to assess the eco-environmental quality of the Nhan Co bô xít mining area in Lam Dong Province by applying the Mine-Specific Eco-Environment Index (MSEEI), which is constructed using multi-temporal Landsat remote sensing data. Landsat satellite imagery from 2015, 2020, and 2025 was employed to derive a set of spectral indices, including the Enhanced Vegetation Index (EVI), Soil Moisture Monitoring Index (SMMI), Normalized Difference Built-up and Soil Index (NDBSI), Difference Index (DI), and Land Surface Temperature (LST). These indices were normalized and integrated using Principal Component Analysis (PCA) to develop the MSEEI, which represents the overall eco-environmental quality of the mining area. The results indicate that the eco-environmental quality of the Nhan Co Bô xít Mining Area experienced significant changes during the period 2015–2025, with an overall trend toward eco-environmental recovery. The findings of this study provide a valuable scientific basis for ecological restoration planning and sustainable mining management in mining regions.

How to Cite
Phuong, D.Thi Nam, Trung, N.Van and Hung, T.Le 2026. Application of the mine-specific remote sensing ecological index for assessing eco-environmental quality in the Nhan Co bauxite mining area, Lam Dong province (in Vietnamese). Mining Industry Journal. XXXV, 3 (Jun, 2026), 32-41. .
References

[1] Nguyễn Quốc Khánh, “Ứng dụng hệ thống viễn thám, GIS theo dõi sự biến động của một số thành phần môi trường do hoạt động khai thác khoáng sản bô xít” Tạp chí Khí tượng Thủy văn, số 751, tr. 1–18, 2023, doi:10.36335/VNJHM.2023(751).1-18.

[2] Nguyễn Thị Cúc, Vũ Thị Phương Thảo, Phan Thị Mai Hoa, “Ứng dụng GIS, viễn thám và phương pháp phân tích đa chỉ tiêu đánh giá và phân vùng nhạy cảm sinh thái thành phố Hạ Long, tỉnh Quảng Ninh”, Tạp chí Khoa học Tài nguyên và Môi trường, số 53, tr. 175-186, 2024.

[3] H. A. Anwer, T. Mohamed and A. Hassan, “Assessing vegetation dynamics in Al Jazirah, Sudan using NDVI-based remote sensing techniques”, Journal of the Saudi Society of Agricultural Sciences , vol. 24, no.18, 2025, doi:https://doi.org/10.1007/s44447-025-00011-0

[4] Do Thi Phuong Thao, Bui Ngoc Quy, Trinh Le Hung, “Potential of using satellite remote sensing and GIS in monitoring of mine disasters”, Journal of the Polish Mineral Engineering Society, vol.1, no. 2, 773 – 782, 2025.

[5] A. K. Holtgrave, M. Forster, C. Christine, M. D. Raya-Sereno, V. Burchard-Levine, J. Morel, M. Rossi, D. Rocchini, M. Schwieder, P. Hostert, F. Fassnacht and B. Kleinschmit, “Review of remote Sensing indices for monitoring environmental grassland indicators in Europe”, Ecological Indicators, vol. 185, 114372, 2026, doi: https://data.europa.eu/doi/10.1016/j.ecolind.2026.114732.

[6] A. Belmonte, C. Riefolo, G. Buttafuoco and A. Castrignano, “An approach for spatial statistical modelling remote sensing data of land cover by fusing data of different types”, Remote Sensing, vol. 17, no. 1, 123, 2025, doi: https://doi.org/10.3390/rs17010123.

[7] H. Q. Xu, “A remote sensing urban ecological index and its application”, Acta Ecologica Sinica, vol. 33, no. 24, 7853 - 7862, 2013.

[8] H. Xu , Y. Wang, H. Guan, T. Shi and X. Hu , “Detecting Ecological Changes with a Remote Sensing Based Ecological Index (RSEI) Produced Time Series and Change Vector Analysis”, Remote Sensing, vol. 11, 2345, 2019.

[9] C. Matyukira, P. Mhangara, E. Gidey and J. Hussein, “Assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis: a case study of the Cradle Nature Reserve, Gauteng province, South Africa”, Geocarto International, vol.40, no. 1, 2025.

[10] P. Zhang, X. Chen, Y. Ren, S. Lu, D. Song and Y. Wang, “A Novel Mine-Specific Eco-Environment Index (MSEEI) for Mine Ecological Environment Monitoring Using Landsat Imagery”, Remote Sensing, vol. 15, 933, https://doi.org/10.3390/ rs15040933, 2023.

Other articles