Data/hora: 06/06/2024 15:13:14

Provedor de dados: 	5	
País: 	France	
Título: 	A Statistical Algorithm for Estimating Chlorophyll Concentration in the New Caledonian Lagoon	
Autores: 	Wattelez, Guillaume; Dupouy, Cecile; Mangeas, Morgan; Lefevre, Jerome; Touraivane,; Frouin, Robert.	
Data: 	2016-01	
Ano: 	2016	
Palavras-chave: 	Chlorophyll-a concentration; MODerate resolution Imaging Spectroradiometer (MODIS); Ocean color; Remote sensing; Statistical algorithm; Oligotrophic waters; New Caledonia; Coral lagoon.	
Resumo: 	Spatial and temporal dynamics of phytoplankton biomass and water turbidity can provide crucial information about the function, health and vulnerability of lagoon ecosystems (coral reefs, sea grasses, etc.). A statistical algorithm is proposed to estimate chlorophyll-a concentration ([chl-a]) in optically complex waters of the New Caledonian lagoon from MODIS-derived remote-sensing reflectance (R-rs). The algorithm is developed via supervised learning on match-ups gathered from 2002 to 2010. The best performance is obtained by combining two models, selected according to the ratio of R-rs in spectral bands centered on 488 and 555 nm: a log-linear model for low [chl-a] (AFLC) and a support vector machine (SVM) model or a classic model (OC3) for high [chl-a]. The log-linear model is developed based on SVM regression analysis. This approach outperforms the classical OC3 approach, especially in shallow waters, with a root mean squared error 30% lower. The proposed algorithm enables more accurate assessments of [chl-a] and its variability in this typical oligo- to meso-trophic tropical lagoon, from shallow coastal waters and nearby reefs to deeper waters and in the open ocean.	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	https://archimer.ifremer.fr/doc/00481/59309/62060.pdf

DOI:10.3390/rs8010045

https://archimer.ifremer.fr/doc/00481/59309/	
Editor: 	Mdpi Ag	
Formato: 	application/pdf	
Fonte: 	Remote Sensing (2072-4292) (Mdpi Ag), 2016-01 , Vol. 8 , N. 1 , P. 45 (23p.)	
Fonte: 	info:eu-repo/semantics/openAccess

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