Estimation of Vegetation Fraction Based on SPOT Images of Remote Sensing

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.