Assessing forest changes in Yok Don National Park and surrounding areas, Dak Lak province, Vietnam

Authors

  • Phung Thai Duong Faculty of Social Science, Arts and Humanities, Dong Thap University, Vietnam https://orcid.org/0000-0002-1215-204X
  • Do Xuan Son Faculty of Civil Engineering, Ho Chi Minh City University of Technology and Education, Vietnam

DOI:

https://doi.org/10.15243/jdmlm.2024.112.5521

Keywords:

deforest, forest cover, supervised classification, vegetation index, Yok Don National Park

Abstract

Forests serve as vital ecosystems, playing a pivotal role in preserving biodiversity, maintaining air and water quality, and regulating the climate, all while delivering many benefits to humanity and serving as a critical resource for diverse industries. This study investigated changes in forest cover within Yok Don National Park and surrounding areas in Dak Lak province, Vietnam, over the period from 2001 to 2021. The primary objective was to identify decadal shifts in forest cover through the utilization of freely accessible satellite remote sensing data and geographic information systems (GIS) tools. The maximum likelihood classification technique was employed to categorize Landsat images captured in 2001, 2011, and 2021. Furthermore, we evaluated the efficacy of the Normalized Difference Vegetation Index (NDVI) and the Soil-Adjusted Vegetation Index (SAVI) based classifications in detecting forest cover changes when compared to supervised classification. Initial estimates placed forest cover at 2796.91 km2, constituting 88.44% of the total land area in 2001, which subsequently declined to 2609.97 km2 (82.53%) in 2011, and further reduced to 1843.57 km2 (58.29%) in 2021. Severely reduced forest cover is often associated with the expansion of agriculture on the forest edge; other contributing factors include logging and illegal production land. Notably, the NDVI outperformed the SAVI in detecting forest cover changes. The findings of this research are anticipated to contribute to ongoing studies and enhance the effective monitoring of this protected forest area, thus providing invaluable insights for decision-makers.

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Kovyazin, V.F., Demidova, P.M., Anh, D.T.L., Hung, D.V. and Van Quyet, N. 2020. Monitoring of forest land cover change in Binh Chau-Phuoc Buu Nature Reserve in Vietnam using remote sensing methods and GIS techniques. IOP Conference Series: Earth and Environmental Science, 012014. https://doi.org/10.1088/1755-1315/507/1/012014 DOI: https://doi.org/10.1088/1755-1315/507/1/012014

Kovyazin, V.F., Nguyen, T.A. and Nguyen, T.T. 2023. Monitoring the forest fund lands of Kon Tum Province, Vietnam using remote sensing data of earth. Geodesy and Cartography 998(8):57-64. https://doi.org/10.22389/0016-7126-2023-998-8-57-64 DOI: https://doi.org/10.22389/0016-7126-2023-998-8-57-64

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Kyere-Boateng, R. and Marek, M.V. 2021. Analysis of the social-ecological causes of deforestation and forest degradation in Ghana: Application of the DPSIR framework. Forests 12(4):409. https://doi.org/10.3390/f12040409 DOI: https://doi.org/10.3390/f12040409

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Submitted

02-11-2023

Accepted

14-12-2023

Published

01-01-2024

How to Cite

Duong, P. T., & Son, D. X. (2024). Assessing forest changes in Yok Don National Park and surrounding areas, Dak Lak province, Vietnam. Journal of Degraded and Mining Lands Management, 11(2), 5521–5531. https://doi.org/10.15243/jdmlm.2024.112.5521

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Research Article