Assessment of forest change in a rural district using satellite imagery: A case study in Loc Ninh, Binh Phuoc Province, Vietnam

Author

Faculty of Social Science, Arts and Humanities, Dong Thap University, Vietnam

10.22124/cjes.2023.7285

Abstract

Forests play a crucial role in preserving the living environment for humans, but their area is increasingly shrinking under the influence of socio-economic development. This article presents the results of applying remote sensing and GIS to assess forest resource changes in a rural district - Loc Ninh, Binh Phuoc Province, Vietnam. The study used Landsat 5 TM and Landsat 8 OLI images and processed them using ENVI 4.7 and ArcGIS Desktop 10.7 software to create forest distribution maps for the periods 2000, 2010, and 2020. The research results show that the forest area in Loc Ninh rural district experienced significant changes during the 2000-2020 period. The total forest area lost was over 13.4% (8824 ha) compared to 2000. The reasons are explained by the pressure of rapid population growth, remnants of shifting cultivation practices, and the consequences of land use conversion and expansion for production purposes. The research results provide valuable reference materials for forest management and protection in Loc Ninh rural district, Vietnam.

Keywords


Bảo, TQ, Khang, LN, Doanh, LS, Thị, NV, Duẩn, PV, Dương, NTM, Nguyệt, BTM & Cương, NT 2022, Situation and causes of decline in the area of dipterocarp forests in the central highlands. Tạp Chí Khoa Học và Công Nghệ Lâm Nghiệp, 4: 65-77, https://doi.org/10.55250/jo.vnuf.2022.4.065-077
Congalton, R G, & Green, K 2009, Assessing the accuracy of remotely sensed data: Principles and practices (2nd ed). CRC Press/Taylor & Francis.
Ghafoor, GZ, Sharif, F, Shahid, MG, Shahzad, L, Rasheed, R & Khan, AUH 2022, Assessing the impact of land use land cover change on regulatory ecosystem services of subtropical scrub forest, Soan Valley Pakistan. Scientific Reports, 12(1): 10052, https://doi.org/10.1038/s41598-022-14333-4
Hasan, M E, Zhang, L, Dewan, A, Guo, H & Mahmood, R (nd) Spatiotemporal pattern of forest degradation and loss of ecosystem function associated with Rohingya influx: A geospatial approach. In Land Degradation & Development. Wiley, https://doi.org/10.1002/ldr.3821
Hoang, TT, Truong, VT, Hayashi, M, Tadono, T & Nasahara, KN 2020, New JAXA high-resolution land use/land cover map for Vietnam aiming for natural forest and plantation forest monitoring. In REMOTE SENSING (Vol. 12, Issue 17). MDPI, https://doi.org/10.3390/rs12172707
Jensen, J R 2005, Introductory digital image processing: A remote sensing perspective (3rd ed). Prentice Hall.
Khorram, S, Wiele, CF van der, Koch, FH, Nelson, SAC & Potts, MD 2016, Principles of applied remote sensing, Springer.
Lợi, D T 2023, Research and assessment of mangroves change along the coast of thai binh province using remote sensing and gis technology. TNU Journal of Science and Technology, 228 (08): 35–43. https://doi.org/10.34238/tnu-jst.6992
Ministry of Agriculture and Rural Development 2023, Decision No. 2357/QĐ-BNN-KL: Announcing the current state of forests nationwide in 2022. Ministry of Agriculture and Rural Development, Vietnam. https://binhphuoc.gov.vn/vi/news/thong-tin-bao-cao-thong-ke/cong-bo-hien-trang-rung-toan-quoc-nam-2022-32376.html
Thu Thuy, P, Moeliono, M, Thi Hien, N, Huu Tho, N & Thi Hien, V 2012, Drivers of deforestation and forest degradation in Vietnam (The Context of REDD+ in Vietnam). Center for International Forestry Research. https://www.jstor.org/stable/resrep02208.8
UN Environment Programme World Conservation Monitoring Centre 2023, Exploring the vital role of our forests. UNEP-WCMC. https://www.unep-wcmc.org/en/news/exploring-the-vital-role-of-our-forests
Venkatappa, M, Sasaki, N, Anantsuksomsri, S & Smith, B 2020, Applications of the Google Earth Engine and Phenology-Based Threshold Classification method for mapping forest cover and carbon stock changes in Siem Reap Province, Cambodia. In REMOTE SENSING (Vol. 12, Issue 18). MDPI. https://doi.org/10.3390/ rs12183110