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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.)

Parametrization and calibration of a quasi-analytical algorithm for tropical eutrophic waters

Texto completo
Autor(es):
Watanabe, Fernanda ; Mishra, Deepak R. ; Astuti, Ike ; Rodrigues, Thanan ; Alcantara, Enner ; Imai, Nilton N. ; Barbosa, Claudio
Número total de Autores: 7
Tipo de documento: Artigo Científico
Fonte: ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING; v. 121, p. 28-47, NOV 2016.
Citações Web of Science: 21
Resumo

Quasi-analytical algorithm (QAA) was designed to derive the inherent optical properties (IOPs) of water bodies from above-surface remote sensing reflectance (R-rs). Several variants of QAA have been developed for environments with different bio-optical characteristics. However, most variants of QAA suffer from moderate to high negative IOP prediction when applied to tropical eutrophic waters. This research is aimed at parametrizing a QAA for tropical eutrophic water dominated by cyanobacteria. The alterations proposed in the algorithm yielded accurate absorption coefficients and chlorophyll-a (Chl-a) concentration. The main changes accomplished were the selection of wavelengths representative of the optically relevant constituents (ORCs) and calibration of values directly associated with the pigments and detritus plus colored dissolved organic material (CDM) absorption coefficients. The re-parametrized QAA eliminated the retrieval of negative values, commonly identified in other variants of QAA. The calibrated model generated a normalized root mean square error (NRMSE) of 21.88% and a mean absolute percentage error (MAPE) of 28.27% for a(t)(lambda), where the largest errors were found at 412 nm and 620 nm. Estimated NRMSE for a(CDM)(lambda) was 18.86% with a MAPE of 31.17%. A NRMSE of 22.94% and a MAPE of 60.08% were obtained for a(phi)(lambda). Estimated a(phi)(665) and a(phi)(709) was used to predict Chl-a concentration. a(phi)(665) derived from QAA for Barra Bonita Hydroelectric Reservoir (QAA\_BBHR) was able to predict Chl-a accurately, with a NRMSE of 11.3% and MAPE of 38.5%. The performance of the Chl-a model was comparable to some of the most widely used empirical algorithms such as 2-band, 3-band, and the normalized difference chlorophyll index (NDCI). The new QAA was parametrized based on the band configuration of MEdium Resolution Imaging Spectrometer (MERIS), Sentinel-2A and 3A and can be readily scaled-up for spatiotemporal monitoring of IOPs in tropical waters. (C) 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved. (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
Linha de fomento: 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
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 13/09045-7 - Mapeamento de macrófitas submersas em reservatório baseado na teoria de transferência radiativa na coluna de água
Beneficiário:Nilton Nobuhiro Imai
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 15/18525-8 - Inversão de modelo baseado na equação de transferência radiativa para estimar a concentração de clorofila-a em águas produtivas - reservatório de Barra Bonita, Rio Tietê, SP
Beneficiário:Fernanda Sayuri Yoshino Watanabe
Linha de fomento: Bolsas no Brasil - Pós-Doutorado