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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Performance of existing QAAs in Secchi disk depth retrieval in phytoplankton and dissolved organic matter dominated inland waters

Texto completo
Autor(es):
Rodrigues, Thanan [1] ; Alcantara, Enner [2] ; Mishra, Deepak R. [3] ; Watanabe, Fernanda [4] ; Bernardo, Nariane [4] ; Rotta, Luiz [4] ; Imai, Nilton [4] ; Astuti, Ike [5]
Número total de Autores: 8
Afiliação do(s) autor(es):
[1] Fed Inst Educ Sci & Technol Para State, Castanhal - Brazil
[2] Sao Paulo State Univ, Dept Environm Engn, Sao Jose Dos Campos - Brazil
[3] Univ Georgia, Dept Geog, Athens, GA 30602 - USA
[4] Sao Paulo State Univ, Dept Cartog, Presidente Prudente - Brazil
[5] State Univ Malang, Dept Geog, Semarang - Indonesia
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF APPLIED REMOTE SENSING; v. 12, n. 3 SEP 12 2018.
Citações Web of Science: 1
Resumo

A semianalytical model developed to estimate the Secchi disk depth (Z(SD)) was used in eutrophic-to-hypereutrophic reservoirs (Ibitinga, Ibi, and Barra Bonita, BB) placed in the cascade system of the Tiete River, Brazil. The model was evaluated using the simulated remote sensing reflectance based on the Ocean and Land Color Instrument/Sentinel-3A and the Operational Land Imager/Landsat-8 from both reservoirs. Three quasianalytical algorithm (QAA) versions (QAA(v5), QAA(M14), and QAA(w16)) were evaluated to derive the absorption and backscattering coefficients, and then used for Z(SD) retrieval. For BB, where the chlorophyll-a concentration exceeded 200 mg m(-3) , the model based on QAA(v5) showed high uncertainties while the QAA(w16), which was originally parameterized for BB showed better performance regarding the Z(SD) retrieval (mean absolute percentage errors-MAPE of 22%). However, QAA(w16) did not perform satisfactorily for Ibi, which is dominated by colored dissolved organic matter (CDOM). For Ibi, QAA(v5) provided the best result with MAPE of 34.60%, followed by QAA(M14) with 34.65%. QAA-based Z(SD) models tend to perform poorly in waters with high concentration of chlorophyll-a possibly due to phytoplankton package effect, whereas the same models may require additional parameterization in waters dominated by CDOM. Landsat-8 data showed significant potential for Z(SD) retrieval in inland waters. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) (AU)

Processo FAPESP: 15/21586-9 - Re-parametrização do algoritmo quase-analítico (QAA) para estimativa das propriedades ópticas inerentes nos reservatórios do Rio Tietê
Beneficiário:Enner Herenio de Alcântara
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 12/19821-1 - Parametrização de modelo bio-óptico para o estudo da concentração de clorofila-A ao longo de reservatórios em cascata
Beneficiário:Enner Herenio de Alcântara
Modalidade de apoio: Auxílio à Pesquisa - Regular