期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：987-992
出版社：Copernicus Publications
摘要：Vegetation Fraction is a comprehensive quantitative index in forest management and vegetation community cover conditions, and it's also an important parameter in many remote sensing ecological models, such as RUSLE model in soil erosion study. Traditional ground measures method to get the regional-scale vegetation fraction is very difficult due to the costs, labor and time involved. Therefore, it's meaningful to study on fast estimation of vegetation fraction from remotely sensed data. In this study, we make use of modified Gutman model to get vegetation Fraction in Three Gorges emigration area by using SPOT5 Imagery. It assumes each pixel is a mosaic pixel. The spectral information is composed of vegetation and soil spectral information. Through computing the normalized difference vegetation index (NDVI) which is sensitive to vegetation, we define the soil and vegetation threshold according to ground field data. Then, using Gutman model we get vegetation Fraction. The result shows the accuracy of this method is fine, and it is feasible in fast estimation of regional vegetation fraction
