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《Science of Surveying and Mapping》 2006-01
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Vegetation fraction estimation based on TM data

DING Yanmei~ ①,② ,ZHANG Jixian~ ① , WANG Jian~ ① , LIU Zhengjun~ ① (①Chinese Academy of Surveying and Mapping ,Beijing 100039, China;②Geoinformation Science & Engineering College , Shandong University of Science and Technology , Qingdao 266510,China)  
In the paper,Geometric、radiometric and atmospheric correction of the images are performed firstly.secondly,According to the sub-pixel structure characteristic, the potential of deriving vegetation fraction from normalized difference vegetation index using the TM data and resorting to“Dense Vegetation Model”and “Nondense Vegetation Model”, is studied in an area in the south of Yichang. During the process of deriving percent vegetation cover using “Nondense Vegetation Model”, Leaf Area Index (LAI) is a necessary parameters, an improved method for deriving LAI from visible and near infrared measurements above a soil background is proposed. We acquire the vegetation fraction of the study area with MODIS data, then compare it to that derivred from TM data, we can detect that the accuracy rate of vegetation fraction using “Nondense Vegetation Model”is higher than that from “Dense Vegetation Model”; the comparision also suggests that the method of using “Dense Vegetation Model”and “Nondense Vegetation Model”to achieve Vegetation fraction is feasible.
【Fund】: 科技部科研院所社会公益研究专项(2003DIA6N015)
【CateGory Index】: TP79
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