植被覆盖度模型研究进展

Research Progress of Vegetation Coverage Model

植被覆盖度是刻画陆地表面植被数量的一个重要参数,也是指示生态系统变化的重要指标。以遥感测量为研究手段,综合讨论目前测量植被覆盖度最常用的4种模型:植被指数模型、亚像元模型、混合光谱模型和光谱梯度差模型,分析其优缺点,并对如何提高植被覆盖度的测量精度提出讨论,指出高光谱数据、多尺度遥感数据以及数码相机和航空遥感的综合使用是未来植被覆盖度测量发展的趋势。

Vegetation coverage is not only an important parameter for depicting land surface vegetation quantity,but also an important index for indicating ecosystem variation.With RS measurement as study means,the current common four models were discussed,including vegetation index model,sub-pixel model,mixed spectral model and spectral gradient model.The advantages and disadvantages were analyzed,and how to improve the measurement precision of vegetation coverage was discussed.It was put forward that hyperspectral data,multi-scale remote sensing data,digital camera and comprehensive use of airborne remote sensing are the development trend for improving measurement precision of vegetation coverage.