A Multivariate Analysis Framework to Detect Key Environmental Factors Affecting Spatiotemporal Variability of Chlorophyll-a in a Tropical Productive Estuarine-Lagoon System
by
Regina Camara Lins 1, Jean-Michel Martinez 2, David Da Motta Marques 3
, José Almir Cirilo 1, Paulo Ricardo Petter Medeiros 4 and Carlos Ruberto Fragoso Júnior 5,*
Regina Camara Lins 1, Jean-Michel Martinez 2, David Da Motta Marques 3, José Almir Cirilo 1, Paulo Ricardo Petter Medeiros 4 and Carlos Ruberto Fragoso Júnior 5,*
1
Department of Civil Engineering, Federal University of Pernambuco, 50670-901 Recife, Brazil
2
Géosciences Environnement Toulouse (GET), Unité Mixte de Recherche 5563, IRD/CNRS/Université Toulouse III, 31400 Toulouse, France
3
Hydraulic Research Institute, Federal University of Rio Grande do Sul, CP 15029 Porto Alegre, Brazil
4
Institute of Geography, Federal University of Alagoas, 57072-970 Maceió, Brazil
5
Center for Technology, Federal University of Alagoas, 57072-970 Maceió, Brazil
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(6), 853; https://doi.org/10.3390/rs10060853
Received: 3 May 2018 / Revised: 22 May 2018 / Accepted: 28 May 2018 / Published: 1 June 2018
(This article belongs to the Special Issue Remote Sensing of Inland Waters and Their Catchments)
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 Mundaú 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.
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Keywords:
MODIS; Múndaú lagoon; Manguaba lagoon
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Lins, R.C.; Martinez, J.-M.; Motta Marques, D.D.; Cirilo, J.A.; Medeiros, P.R.P.; Fragoso Júnior, C.R. A Multivariate Analysis Framework to Detect Key Environmental Factors Affecting Spatiotemporal Variability of Chlorophyll-a in a Tropical Productive Estuarine-Lagoon System. Remote Sens. 2018, 10, 853.
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