中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Deriving Regional Crown Closure Using Spectral Mixture Analysis Based on Up-Scaling Endmember Extraction Approach and Validation

文献类型:期刊论文

作者Cao, Chunxiang1; Tian, Haijing1; Zhang, Yuxing1; Dang, Yongfeng1; Ni, Xiliang1; Xu, Yunfei1; Xu, Min1; Li, Xiaowen1; Xiang, Haibing1; Yang, Tianyu1
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2015
卷号8期号:6(SI)页码:2542-2560
关键词Crown closure (CC) geometric optical model linear spectral mixture analysis (SMA) up-scaling
通讯作者Cao, CX (reprint author), Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100049, Peoples R China.
英文摘要This paper investigates the retrieval of forest crown closure (CC) from the Landsat Thematic Mapper (TM) data and aerial images with a linear spectral mixture analysis (SMA) method. Anshan is selected as the study area. Two endmember extraction methods were used in this paper: 1) traditional image-based method and 2) up-scaling method. (When we get the fractions of components from a coregistered 0.6-m spatial resolution image, the linear spectral mixture model is applied to unmix the TM image and obtain the required endmembers.) For both methods, four fraction images (sunlit canopy, shaded canopy, sunlit background, shaded background) were calculated by linear spectral mixture model and used to derive CC. Results showed that CC can be fitted best with sum of fractions of sunlit canopy and shaded canopy at S-shaped curve and the up-scaling endmember extraction method is better than traditional image-based endmember extraction method. Finally, the up-scaling endmember extraction method was used to map forest CC in Anshan forested region. The measured forest CC distribution map was used to validate the estimated map. Results show that the estimated CC and measured CC have little difference and the estimated CC is slightly lower. The majority of Anshan forest CC values were between 0.4 and 0.8.
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:000359264000022
源URL[http://ir.ceode.ac.cn/handle/183411/38175]  
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.[Cao, Chunxiang
2.Ni, Xiliang
3.Xu, Yunfei
4.Xu, Min
5.Li, Xiaowen] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100049, Peoples R China
6.[Tian, Haijing
7.Yang, Tianyu] Univ Chinese Acad Sci, Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100049, Peoples R China
8.[Zhang, Yuxing
9.Dang, Yongfeng] State Forestry Adm, Acad Forest Inventory & Planning, Beijing 100013, Peoples R China
10.[Xiang, Haibing] China Elect Technol Grp Corp, Res Inst, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714
Cao, Chunxiang,Tian, Haijing,Zhang, Yuxing,et al. Deriving Regional Crown Closure Using Spectral Mixture Analysis Based on Up-Scaling Endmember Extraction Approach and Validation[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(6(SI)):2542-2560.
APA Cao, Chunxiang.,Tian, Haijing.,Zhang, Yuxing.,Dang, Yongfeng.,Ni, Xiliang.,...&Yang, Tianyu.(2015).Deriving Regional Crown Closure Using Spectral Mixture Analysis Based on Up-Scaling Endmember Extraction Approach and Validation.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(6(SI)),2542-2560.
MLA Cao, Chunxiang,et al."Deriving Regional Crown Closure Using Spectral Mixture Analysis Based on Up-Scaling Endmember Extraction Approach and Validation".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.6(SI)(2015):2542-2560.

入库方式: OAI收割

来源:遥感与数字地球研究所

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