Land use and land cover classification using Chinese GF-2 multispectral data in a region of the North China Plain

查看全文 作　　者：Kun [1,2]JIA;Jingcan [1,2]LIU;Yixuan [1,2]TU;Qiangzi [3]LI;Zhiwei [4]SUN;Xiangqin [3]WEI;Yunjun [1,2]YAO;Xiaotong [1,2]ZHANG

机构地区：[1]State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences,Beijing 100875,China;[2]Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China;[3]Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;[4]Beijing Geoway Times Software Technology Co.,Ltd.,Beijing 100043,China

出　　处：《Frontiers of Earth Science》索引2019年第13卷第2期,共9页

基　　金：the National Natural Science Foundation of China (Grant No.41571422);the National Key Research and Development Program of China (No.2016YFA0600103). 摘　　要：The newly launched GF-2 satellite is now the most advanced civil satellite in China to collect high spatial resolution remote sensing data.This study investigated the capability and strategy of GF?2 multispectral data for land use and land cover (LULC) classification in a region of the North China Plain.The pixel-based and object-based classifications using maximum likelihood (MLC) and support vector machine (SVM) classifiers were evaluated to determine the classification strategy that was suitable for GF?2 multispectral data.The validation results indicated that GF-2 multispectral data achieved satisfactory LULC classification performance,and object-based classification using the SVM classifier achieved the best classification accuracy with an overall classification accuracy of 94.33% and kappa coefficient of 0.911.Therefore,considering the LULC classification performance and data characteristics,GF-2 satellite data could serve as a valuable and reliable high-resolution data source for land surface monitoring.Future works should focus on improving LULC classification accuracy by exploring more classification features and exploring the potential applications of GF-2 data in related applications. 关键词：LAND use and LAND COVER CLASSIFICATION GF-2 NORTH China PLAIN MULTISPECTRAL data

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Land use and land cover classification using Chinese GF-2 multispectral data in a region of the North China Plain

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