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《Journal of Subtropical Resources and Environment》 2015-03
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Effects of New Characteristics of Landsat 8 Operational Land Imager (OLI) Data on Land-cover Remote Sensing Classification

CHEN Qi;LI Xin-tong;School of Geographical Sciences,Fujian Normal University;  
OLI sensor has new characteristics in some bands of Landsat 7 ETM +,which may improve radiometric resolution from 8-bit to 16-bit,refine spectral range of NIR band and Pan band,add coastal band and cirrus band. The study aims to analyze new characteristics of OLI data and explore their influences on land cover remote sensing classification. Results show that:( 1) improving radiometric resolution can help the differentiation of classes and overall accuracy of the classification;( 2) spectral range adjustment of NIR band helps to identify waters boundary but has little influence on overall classification accuracy;( 3) coastal band can significantly improve classification accuracy of waters and impervious layers,while the addition of cirrus band is bad for the differentiation of classes;( 4) narrowing spectral range of Pan band can improve classification accuracy of grass and crop lands and bare soil obviously,hence helpful in the differentiation of vegetated and non-vegetated information.
【Fund】: 国家自然科学基金(41201417);; 福建省测绘局项目(hb0843)
【CateGory Index】: P237
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