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《Geography and Geo-Information Science》 2005-02
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Study on High Spectral Resolution Remote Sensing Data Processing Method for Land-Use Dynamic Monitoring

YOU Shu-cheng~(1,2),XIE Jun-qi~2,LIU Shun-xi~2,LI Xiao-wen~1(1.Research Center of RS and GIS,College of Geography and RS Sciences,Beijing Normal University,Beijing 100875;2.China Land Surveying and Planning Institute,Beijing 100035,China)  
It is necessary to obtain high accuracy land changing data annually for land resource management,especially for main land use type such as arable land,forest,orchard etc.However,normal multi-spectral remote sensing data can not meet above requirement because of its wide rang of band width.High spectral resolution remote sensing data provides 10-100 channels within 04~25 μm which may solve this problem.This paper provides a practicable method for land-use dynamic change detecting using high spectral resolution remote sensing data,including radiometric distortion correction,image merging method for high spectral resolution remote sensing data and normal high spatial resolution remote sensing data.This paper also provides a land use changing detecting method called anomaly spectral feature detecting which based on the assumption that spectral feature will be anomaly in land use type changing when different temporal remote sensing data is merged.These methods have applied to experiment site successfully.The result shows that high spectral resolution remote sensing data combined with high spatial resolution remote sensing data can improve land use changing accuracy to 90% and the error is less than 10%,which meets the needs of the present land resource management in China.
【Fund】: 国家"863"项目"对地观测技术在国土资源调查中应用"
【CateGory Index】: TP79
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【Co-citations】
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