基于SPOT影像的植被覆盖度遥感估算研究

Estimation of Vegetation Fraction Based on SPOT Images of Remote Sensing

植被覆盖度作为衡量地表植被覆盖的一个重要指标,对于揭示地表空间变化规律、分析评价区域土地系统具有重要的现实意义。在植被覆盖度提取中,归一化植被指数(NDVI)结合像元二分模型是关键技术。以SPOT影像为数据源,在充分考虑区域土壤和植被类型等背景基础上,对研究区植被覆盖度提取研究,为研究区提供植被覆盖度空间分布数据。实证结果表明:研究区植被覆盖度40%~80%居多,植被覆盖率较高,属稠密区,说明应用归一化植被指数结合像元二分模型对研究区植被覆盖度进行遥感估算是可行的。

As an important measure of surface vegetation index,vegetation fraction has practical significance to revealing the spatial variation law,analyzing and evaluating regional land system.Normalized difference vegetation index(NDVI)combined with dimidiate pixel model is an important key technology for vegetation fraction extraction.Taking SPOT images as the data source and taking in full consideration of background including soil and vegetation types,the extraction of the vegetation fraction in the study area was performed and good results were obtained,which provided spatial distribution of vegetation fraction data for the area to be studied.The empirical results showed that vegetation fraction was 40%~80%in the area;the vegetation fraction rate was higher;and it was a densely populated area.The result showed that it could be feasible to apply the normalized difference vegetation index combined with dimidiate pixel model to estimation of vegetation fraction in the area based on images of remote sensiing.