Southern Federal University, Rostov-on-Don, 344006, Russia.
Faculty of Social Sciences, National University of Laos, Vientiane, Laos.
Environ Monit Assess. 2023 Jul 13;195(8):947. doi: 10.1007/s10661-023-11548-4.
Loss of forest cover has an important impact on global climate change. This study investigated variation in forest cover in Luang Prabang district, the capital of Luang Prabang province, Lao PDR, using Landsat Thematic Mapper (TM) and Operational Land Imager (OLI) satellite imagery over the period 1988-2021. The maximum likelihood classification technique was used to classify Landsat images of the years 1988, 2001, 2011, and 2021 and was evaluated for accuracy using the kappa coefficient for each year (0.860, 0.869, 0.878, and 0.950, respectively). The potential of classification based on the Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) to detect changes in natural forest and cultivated forest cover compared with supervised classification was also evaluated. The natural forest cover of the study area was estimated at 84.09% (687.82 km) of the total land area in 1988. This number decreased to 56.93% (465.69 km) in 2001 and subsequently increased to 60.85% (497.77 km) in 2011 and 66.49% (543.92 km) in 2021. Cultivated forest cover in 1988 was 4.96% (40.58 km) and increased to 16.84% (137.76 km) in 2001, however it decreased to 13.57% (110.97 km) in 2011 and 9.67% (79.10 km) in 2021. Severely reduced forest cover is often associated with the expansion of agriculture on the forest edge. Logging and charcoal production are other problems that contribute to the reduction of forest cover. Overall, our results show the necessity of forest management, rational land-use planning policy, and increased community awareness of conservation and sustainable development of forest resources in the study area in the future.
森林覆盖的减少对全球气候变化有重要影响。本研究利用 Landsat 专题制图仪(TM)和陆地成像仪(OLI)卫星影像,调查了老挝琅勃拉邦省首府琅勃拉邦地区的森林覆盖变化情况,时间跨度为 1988 年至 2021 年。使用最大似然分类技术对 1988 年、2001 年、2011 年和 2021 年的 Landsat 图像进行分类,并使用每个年份的kappa 系数(分别为 0.860、0.869、0.878 和 0.950)对分类结果进行评估。还评估了基于归一化差异植被指数(NDVI)和土壤调整植被指数(SAVI)的分类方法与监督分类相比检测自然林和人工林覆盖变化的潜力。研究区域的天然林覆盖面积在 1988 年估计为总面积的 84.09%(687.82 平方公里),这一数字在 2001 年降至 56.93%(465.69 平方公里),随后在 2011 年增至 60.85%(497.77 平方公里),在 2021 年增至 66.49%(543.92 平方公里)。1988 年人工林覆盖面积为 4.96%(40.58 平方公里),2001 年增至 16.84%(137.76 平方公里),但随后在 2011 年降至 13.57%(110.97 平方公里),在 2021 年降至 9.67%(79.10 平方公里)。森林覆盖的严重减少通常与森林边缘的农业扩张有关。伐木和木炭生产是导致森林覆盖减少的其他问题。总的来说,我们的研究结果表明,未来有必要对研究区域的森林进行管理,制定合理的土地利用规划政策,并提高社区对保护和可持续开发森林资源的认识。