利用Landsat卫星图像评估和监测越南德农省森林覆盖的长期变化

IF 1.2 Q3 GEOGRAPHY
B. Thien, V. Phuong
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引用次数: 4

摘要

森林对于调节气候和保护土地资源免受自然灾害至关重要。在越南的德农省,森林覆盖率在1989年至2021年间发生了显著变化。本研究采用遥感和地理信息系统(GIS)方法来检测森林覆盖和其他土地覆盖类型的负变化。利用最大似然分类工具对1989年、2001年、2011年和2021年的Landsat影像进行分类,并通过kappa系数统计评估分类后的精度。评价了基于归一化植被指数(NDVI)和土壤调整植被指数(SAVI)的分类与监督分类相比在森林覆盖变化检测中的潜力。土地利用和土地覆盖变化检测结果表明,研究区森林面积从1989年的77.54%减少到2021年的33.97%,森林损失总量为2953.48 km2,新增人工林面积仅为117.12 km2。总的来说,该地区的森林覆盖严重减少,这往往是由于滥伐和在森林边缘扩大农业用地造成的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Landsat satellite imagery for assessment and monitoring of long-term forest cover changes in Dak Nong province, Vietnam
Forests are essential in regulating climate and protecting land resources from natural disasters. In Vietnam's Dak Nong province, forest cover has changed significantly between 1989 and 2021. This study applies remote sensing and geographic information systems (GIS) approaches to detect negative changes in forest cover as well as other land cover types. The maximum likelihood classification tool was used to classify Landsat images for the years 1989, 2001, 2011, and 2021, with post-classification accuracy evaluated through kappa coefficient statistics. The potential to based classification on Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) to detect changes in forest cover compared with supervised classification was also evaluated. The land use and land cover change detection results show that the forest area decreased from 77.54% of the study area in 1989 to 33.97% in 2021, with a total forest loss of 2,953.48 km 2 and only 117.12 km 2 of newly planted forest during this period. Broadly, forest cover in the area has been severely reduced, often due to indiscriminate logging and expansion of agricultural land on the forest edge.
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来源期刊
CiteScore
2.80
自引率
11.10%
发文量
8
审稿时长
4 weeks
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