Variabilidade espacial e temporal das concentrações de clorofila na Baía de Guanabara (RJ) utilizando imagens MERIS e dados in situ

• Autor(a) principal: Grassi, Renata de Michielli
• Data de Publicação: 2014
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/13888
• topic: MERIS; Chlorophyll-a; Guanabara Bay; Closofila-a; MERIS; Baía de Guanabara; CNPQ::CIENCIAS EXATAS E DA TERRA::OCEANOGRAFIA

This work aimed to implement an empirical algorithm for monitoring the process of eutrophication at Guanabara Bay (BG), Rio de Janeiro (RJ), using in situ chlorophyll-a data and satellite images by MERIS sensor, onboard ENVISAT satellite, from European Space Agency (ESA). A time series of chlorophyll-a (Dec / Jan 2002/2012) provided by Marine Biological Laboratory from UFRJ, was used to elaborate the algorithm, coupled with the radiometric data collected by MERIS sensor on concurrent dates with the collections, what allowed the determination of the regression curves that gave rise to algorithms. Several band combinations were used, with emphasis on wavelengths of green, red and near infrared. The algorithm chosen (R ² = 0.66 and SRM = 77.5%) made use of wavelengths between green and red (665, 680, 560 and 620 nm) and showed satisfactory results, despite the limitations, due to the complexity of the study area and problems in atmospheric correction algorithm. Typical algorithms water Case I (OC3 and OC4) were also tested, as well as FLH MCI and algorithms suggested for water with high concentrations of Chl-a, all with unsatisfactory results. As noted by past studies, Guanabara Bay has high spatial and temporal variability of chlorophyll-a concentrations, with the highest concentrations in the rainy seasons (months: 01, 02, 03, 10, 11, 12) and in the marginal portions (~ 100 mg.m-3), particularly in the western edge of the bay, and lower concentrations in the dry season and in the main circulation channel (~ 20 mg.m-3). This study is a pioneer in the construction and application of bio-optical algorithms for the region of BG using MERIS images. Despite the good results, the algorithm should not be considered definitive, and it is recommended for future work to test different models of atmospheric correction for MERIS images.