中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Obtaining global land-surface broadband emissivity from MODIS collection 5 spectral albedos using a dynamic learning neural network

文献类型:期刊论文

作者Cheng, Jie ; Liang, Shunlin ; Tzeng, Y. C. ; Dong, Lixin
刊名International Journal of Remote Sensing
出版日期2014
卷号35期号:4页码:1395-1416
ISSN号0143-1161
收录类别SCI
语种英语
公开日期2014-12-07
源URL[http://ir.ceode.ac.cn/handle/183411/28412]  
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
Cheng, Jie,Liang, Shunlin,Tzeng, Y. C.,et al. Obtaining global land-surface broadband emissivity from MODIS collection 5 spectral albedos using a dynamic learning neural network[J]. International Journal of Remote Sensing,2014,35(4):1395-1416.
APA Cheng, Jie,Liang, Shunlin,Tzeng, Y. C.,&Dong, Lixin.(2014).Obtaining global land-surface broadband emissivity from MODIS collection 5 spectral albedos using a dynamic learning neural network.International Journal of Remote Sensing,35(4),1395-1416.
MLA Cheng, Jie,et al."Obtaining global land-surface broadband emissivity from MODIS collection 5 spectral albedos using a dynamic learning neural network".International Journal of Remote Sensing 35.4(2014):1395-1416.

入库方式: OAI收割

来源:遥感与数字地球研究所

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