Evaluating and Optimizing VIIRS Retrievals of Chlorophyll-a and Suspended Particulate Matter in Turbid Lakes Using a Machine Learning Approach

	Evaluating and Optimizing VIIRS Retrievals of Chlorophyll-a and Suspended Particulate Matter in Turbid Lakes Using a Machine Learning Approach
	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
	2022
卷号	60
内容类型	期刊论文
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).