Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach

CAS OpenIR

	Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach
	Pahlevan, Nima; Smith, Brandon; Schalles, John; Binding, Caren; Cao, Zhigang; Ma, Ronghua; Alikas, Krista; Kangro, Kersti; Gurlin, Daniela; Nguyen Ha; Matsushita, Bunkei; Moses, Wesley; Greb, Steven; Lehmann, Moritz K.; Ondrusek, Michael; Oppelt, Natascha; Stumpf, Richard
	2020
发表期刊	REMOTE SENSING OF ENVIRONMENT
卷号	240
文献类型	期刊论文
条目标识符	http://159.226.73.51/handle/332005/20125
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	Pahlevan, Nima,Smith, Brandon,Schalles, John,et al. Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach[J]. REMOTE SENSING OF ENVIRONMENT,2020,240.
APA	Pahlevan, Nima.,Smith, Brandon.,Schalles, John.,Binding, Caren.,Cao, Zhigang.,...&Stumpf, Richard.(2020).Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach.REMOTE SENSING OF ENVIRONMENT,240.
MLA	Pahlevan, Nima,et al."Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach".REMOTE SENSING OF ENVIRONMENT 240(2020).