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Joint Use of ICESat/GLAS and Landsat Data in Land Cover Classification: A Case Study in Henan Province, China
Liu, Caixia1; Huang, Huabing1; Gong, Peng1; Wang, Xiaoyi1; Wang, Jie1; Li, Wenyu1; Li, Congcong1; Li, Zhan1
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
2015
卷号8期号:2页码:428-434
关键词Classification land cover lidar random forest (RF) support vector machines (SVMs) waveform metrics
通讯作者Liu, CX (reprint author), Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
英文摘要Lidar waveform features from the Ice, Cloud, and land Elevation Satellite/Geoscience Laser Altimeter System (ICESat/GLAS) and spectral features from Landsat Thematic Mapper (TM)/Enhanced TM Plus (ETM+) were used to discriminate land cover categories for GLAS footprints in Henan Province, China. Fifteen waveform metrics were derived from GLAS data while band ratios and surface spectral reflectance were taken from Landsat TM/ETM+. Random forest (RF) was used in feature selection and classification of footprints along with support vector machines (SVMs). The categories of classification included croplands, forests, shrublands, water bodies, and impervious surfaces. Compared with the use of waveform or spectral features alone in land cover classification, the joint use of waveform and spectral data as inputs improved the classification accuracy of footprints. An overall accuracy (OA) of 91% was achieved by either RF or SVM when features from both GLAS and Landsat sources were used increasing upon an accuracy of 85% if only one source was used. The high accuracy land cover data obtained by the joint use of the two data sources could be used as additional references in large scale land cover mapping when ground truth is hard to obtain. It is believed that the increase in accuracy is largely a result from the inclusion of the additional information of vertical structure offered by waveform lidar.
研究领域[WOS]Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别SCI ; EI
语种英语
WOS记录号WOS:000352277100008
内容类型期刊论文
源URL[http://ir.ceode.ac.cn/handle/183411/38270]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Liu, Caixia
2.Huang, Huabing
3.Gong, Peng
4.Wang, Xiaoyi
5.Wang, Jie
6.Li, Wenyu] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
7.[Liu, Caixia
8.Huang, Huabing
9.Gong, Peng
10.Wang, Xiaoyi
推荐引用方式
GB/T 7714
Liu, Caixia,Huang, Huabing,Gong, Peng,et al. Joint Use of ICESat/GLAS and Landsat Data in Land Cover Classification: A Case Study in Henan Province, China[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(2):428-434.
APA Liu, Caixia.,Huang, Huabing.,Gong, Peng.,Wang, Xiaoyi.,Wang, Jie.,...&Li, Zhan.(2015).Joint Use of ICESat/GLAS and Landsat Data in Land Cover Classification: A Case Study in Henan Province, China.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(2),428-434.
MLA Liu, Caixia,et al."Joint Use of ICESat/GLAS and Landsat Data in Land Cover Classification: A Case Study in Henan Province, China".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.2(2015):428-434.
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