高光谱遥感森林信息提取研究进展

Research Advance in Forest Information Extraction from Hyoerspectral Remote Sensing Data

针对高光谱遥感技术森林信息提取,详细论述了国内外利用高光谱遥感数据进行森林类型识别、森林郁闭度估算和森林叶面积指数估测等森林物理参量,以及森林化学参量估计和森林健康状态评价等方面的应用研究状况,最后对高光谱遥感森林应用的发展趋势作了探讨。

With the development of remote sensing technology,especially the application of hyperspectral remote sensing data,more studies were focused on the investigation of forest information production using hyperspectral remote sensing data.In this paper,it described the current state of forest biophysical and biochemical parameters derived from hyperspectral remote sensing data,such as forest species determining,canopy closure estimation and forest leave area index detection.This paper presented the future trend of the application of hyperspectral remote sensing in forestry.