中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Evaluating and Optimizing VIIRS Retrievals of Chlorophyll-a and Suspended Particulate Matter in Turbid Lakes Using a Machine Learning Approach

文献类型:期刊论文

作者Cao, Zhigang; Ma, Ronghua; Pahlevan, Nima; Liu, Miao; Melack, John M.; Duan, Hongtao; Xue, Kun; Shen, Ming
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2022
卷号60
源URL[http://159.226.73.51/handle/332005/21409]  
专题中国科学院南京地理与湖泊研究所
推荐引用方式
GB/T 7714
Cao, Zhigang,Ma, Ronghua,Pahlevan, Nima,et al. Evaluating and Optimizing VIIRS Retrievals of Chlorophyll-a and Suspended Particulate Matter in Turbid Lakes Using a Machine Learning Approach[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60.
APA Cao, Zhigang.,Ma, Ronghua.,Pahlevan, Nima.,Liu, Miao.,Melack, John M..,...&Shen, Ming.(2022).Evaluating and Optimizing VIIRS Retrievals of Chlorophyll-a and Suspended Particulate Matter in Turbid Lakes Using a Machine Learning Approach.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60.
MLA Cao, Zhigang,et al."Evaluating and Optimizing VIIRS Retrievals of Chlorophyll-a and Suspended Particulate Matter in Turbid Lakes Using a Machine Learning Approach".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022).

入库方式: OAI收割

来源:南京地理与湖泊研究所

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