中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improvement of spatially continuous forest LAI retrieval by integration of discrete airborne LiDAR and remote sensing multi-angle optical data

文献类型:期刊论文

作者Ma, Han ; Song, Jinling ; Wang, Jindi ; Xiao, Zhiqiang ; Fu, Zhuo
刊名Agricultural and Forest Meteorology
出版日期2014
卷号189页码:60-70
ISSN号0168-1923
收录类别SCI
语种英语
公开日期2014-12-07
源URL[http://ir.ceode.ac.cn/handle/183411/28928]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
推荐引用方式
GB/T 7714
Ma, Han,Song, Jinling,Wang, Jindi,et al. Improvement of spatially continuous forest LAI retrieval by integration of discrete airborne LiDAR and remote sensing multi-angle optical data[J]. Agricultural and Forest Meteorology,2014,189:60-70.
APA Ma, Han,Song, Jinling,Wang, Jindi,Xiao, Zhiqiang,&Fu, Zhuo.(2014).Improvement of spatially continuous forest LAI retrieval by integration of discrete airborne LiDAR and remote sensing multi-angle optical data.Agricultural and Forest Meteorology,189,60-70.
MLA Ma, Han,et al."Improvement of spatially continuous forest LAI retrieval by integration of discrete airborne LiDAR and remote sensing multi-angle optical data".Agricultural and Forest Meteorology 189(2014):60-70.

入库方式: OAI收割

来源:遥感与数字地球研究所

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