A STUDY ON FAST ESTIMATION OF VEGETATION FRACTION IN THREE GORGES EMIGRATION AREA BY USING SPOT5 IMAGERY
Vegetation Fraction is a comprehensive quantitative index in forest management and vegetation community cover conditions, and its 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, its 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 (NDVT) 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.
Remote Sensing Vegetation Estimation SPOT Imagery Mosaic Pizel
Zhu Liang WU Bing-fang Zhou Yue-min Meng Ji-hua Zhang Ning
Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, P.R.China Datun Road No.3, P.O.Box 9718, 100101, Beijing, P.R.China
国际会议
北京
英文
9200-9204
2008-07-03（万方平台首次上网日期，不代表论文的发表时间）