期刊
REMOTE SENSING
卷 13, 期 6, 页码 -出版社
MDPI
DOI: 10.3390/rs13061131
关键词
forest degradation; indicators; MODIS; multi-scale; validation
类别
资金
- The Three North Shelterbelt System Engineering Management and Service Platform from the Three North Shelterbelt Program Construction Bureau of National Forestry and Grassland Administration of China.
This study developed a quick and applicable approach to monitor forest degradation in the Three-North Forest Shelterbelt in China, showing that multi-scale remote sensing data have great potential in detecting regional forest degradation.
Detecting forest degradation from satellite observation data is of great significance in revealing the process of decreasing forest quality and giving a better understanding of regional or global carbon emissions and their feedbacks with climate changes. In this paper, a quick and applicable approach was developed for monitoring forest degradation in the Three-North Forest Shelterbelt in China from multi-scale remote sensing data. Firstly, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Ratio Vegetation Index (RVI), Leaf Area Index (LAI), Fraction of Photosynthetically Active Radiation (FPAR) and Net Primary Production (NPP) from remote sensing data were selected as the indicators to describe forest degradation. Then multi-scale forest degradation maps were obtained by adopting a new classification method using time series MODerate Resolution Imaging Spectroradiometer (MODIS) and Landsat Enhanced Thematic Mapper Plus (ETM+) images, and were validated with ground survey data. At last, the criteria and indicators for monitoring forest degradation from remote sensing data were discussed, and the uncertainly of the method was analyzed. Results of this paper indicated that multi-scale remote sensing data have great potential in detecting regional forest degradation.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据