%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Lins, R. C.
%A Martinez, Jean-Michel
%A Marques, D. D.
%A Cirilo, J. A.
%A Medeiros, P. R. P.
%A Fragoso, C. R.
%T A multivariate analysis framework to detect key environmental factors affecting spatiotemporal variability of chlorophyll-a in a tropical productive estuarine-lagoon system
%D 2018
%L fdi:010073604
%G ENG
%J Remote Sensing
%@ 2072-4292
%K MODIS ; Mundau lagoon ; Manguaba lagoon
%K BRESIL ; ATLANTIQUE ; MANGUABA LAGON ; MUNDAU BASSIN
%M ISI:000436561800047
%N 6
%P art. 853 [17 ]
%R 10.3390/rs10060853
%U https://www.documentation.ird.fr/hor/fdi:010073604
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers18-08/010073604.pdf
%V 10
%W Horizon (IRD)
%X Here, we demonstrate how a combination of three multivariate statistic techniques can identify key environmental factors affecting the seasonal and spatial variability of chlorophyll-a (Chl-a) in a productive tropical estuarine-lagoon system. Remote estimation of Chl-a was carried out using a NIR-Red model based on MODIS bands, which is highly consistent with the in situ measurement of Chl-a with root mean square error (RMSE) of 15.24 mg m(-3) and 13.43 mg m(-3) for two independent datasets used for the model's calibration and validation, respectively. Our findings suggest that the river discharges and hydraulic residence time of the lagoons promote a stronger effect on the spatial variability of Chl-a in the coastal lagoons, while wind, solar radiation and temperature have a secondary importance. The results also indicate a slight seasonal variability of Chl-a in Mundau lagoon, which are different the from Manguaba lagoon. The multivariate approach was able to fully understand the relative importance of key environmental factors on the spatiotemporal variability of Chl-a of the aquatic ecosystem, providing a powerful tool for reducing dimensionality and analyzing large amounts of satellite-derived Chl-a data.
%$ 126 ; 036