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《Resources and Environment in the Yangtze Basin》 2010-08
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WANG Quan-fang,ZHANG Hai-wen,SUN Hang-zhou,WANG Qian(School of Resources and Environmental Science,Hubei University,Wuhan 430062,China)  
Cloud contamination has a significant effect on the accuracy in estimating vegetation fraction based on remote sensing.MVC method can apparently eliminate the influence of cloud elimination on the time-series NDVI images.But in the regions with long-term cloudy or rainy weather,it is difficult to completely eliminate the cloud coverage with this method.In this paper,BISE algorithm was adopted to identify and analyze noise from the time-series MODIS/NDVI data in the hilly southeastern Hubei province.Based on it,vegetation fraction was calculated according to the developed dimidiate pixel model.Compared with the vegetation fraction data derived from forest resource inventory,Mean Absolute Error(MAE)was 0.149and Mean Relative Error(MRE)27.7%.Moreover,the obtained time-series vegetation fraction data was calculated based on division into five degrees(i.e.20%,20%~40%,40%~60%,60%~80%and80%).The results show that about 75%to 84%of the study region was covered by vegetation fraction more than 40% and the area ratio of vegetation fraction more than 60% was almost 80% during July to September.Except the low degree of vegetation fraction(less than 20%),other types had a remarkable seasonal change,and especially the high degree(more than 80%)and the intermediate-tohigh degree(60%~80%)interchanged.
【Fund】: 国家自然科学基金资助项目(40601003);; 湖北省教育厅资助项目(Q200610002)
【CateGory Index】: X171
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