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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.)

Mapping of diffuse attenuation coefficient in optically complex waters of amazon floodplain lakes

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Autor(es):
Maciel, Daniel Andrade [1] ; Faria Barbosa, Claudio Clemente [2] ; Leao de Moraes Novo, Evlyn Marcia [2] ; Cherukuru, Nagur [3] ; Martins, Vitor Souza [4] ; Flores Junior, Rogerio [2] ; Jorge, Daniel Schaffer [5] ; Sander de Carvalho, Lino Augusto [6] ; Carlos, Felipe Menino [7]
Número total de Autores: 9
Afiliação do(s) autor(es):
[1] Natl Inst Space Res INPE, Grad Div, Remote Sensing Program, BR-12227010 Sao Jose Dos Campos, SP - Brazil
[2] Natl Inst Space Res INPE, Earth Observat & Geoinformat Div, BR-12227010 Sao Jose Dos Campos, SP - Brazil
[3] CSIRO Oceans & Atmosphere, Canberra, ACT - Australia
[4] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48824 - USA
[5] Univ Littoral Cote dOpale, Univ Lille, UMR 8187, CNRS, LOG Lab Oceanol & Geosci, F-62930 Wimereux - France
[6] Fed Univ Rio de Janeiro UFRJ, Dept Meteorol, BR-21941916 Rio De Janeiro - Brazil
[7] Natl Inst Space Res INPE, Grad Div, Comp Sci Program, BR-12227010 Sao Jose Dos Campos, SP - Brazil
Número total de Afiliações: 7
Tipo de documento: Artigo Científico
Fonte: ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING; v. 170, p. 72-87, DEC 2020.
Citações Web of Science: 0
Resumo

The modeling of underwater light field is essential for the understanding of biogeochemical processes, such as photosynthesis, carbon fluxes, and sediment transports in inland waters. Water-column light attenuation can be quantified by the diffuse attenuation coefficient of the downwelling irradiance (K-d) using semi-analytical algorithms (SAA). However, the accuracy of these algorithms is currently limited in highly turbid environments, such as Amazon Floodplains, due to the SAA parametrization steps. In this study, we assessed an SAA approach for K-d retrieval using a sizeable (n = 239) and diverse dataset (e.g., K-d (490) ranging from almost 0 to up to 30 m(-1) with mean values of 5.75 +/- 3.94 m(-1)) in Amazon freshwater ecosystem. The main framework of this study consists of i) re-parametrization of a quasi-analytical algorithm using regional in-situ inherent optical properties (IOPs) and ii) application and validation of SAA for K-d retrieval using in-situ and Sentinel-2/MSI (n = 49) derived from Remote Sensing Reflectance (R-IS). Overall, the performance of the calibrated SAA was satisfactory for both in-situ and satellite R-rs. The validation results with in-situ data achieved a Mean Absolute Percentage Error (MAPE) lower than 22%, Correlation Coefficient (R) > 0.80, Root Mean Square Error (RMSE) lower than 1.7 m(-1) and bias between 0.73 and 1.34 for simulated visible bands of Sentinel-2/MSI (490, 560 and 660 nm) (VIS). The results using MSI imagery were similar to those of in-situ, with R > 0.9, MAPE < 20%, RMSE < 1.25 m(-1), and bias between 0.98 and 1.10 for VIS bands, which illustrate the viability of this methodology for K-d mapping in Amazon Floodplain Lakes. Therefore, this study demonstrates a successful application of satellite remote sensing data for the spatialization of the K-d in the optically complex waters of Amazon Basin, which is essential for the ecological management of the Amazon Floodplain Lakes. (AU)

Processo FAPESP: 14/23903-9 - Caracterização bio-óptica espaço-temporal e desenvolvimento de algoritmos analíticos para o monitoramento sistemático das massas de água que circulam pela planície de inundação do médio e baixo Amazonas
Beneficiário:Cláudio Clemente Faria Barbosa
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 18/12083-1 - Equilibrando a conservação da biodiversidade com o desenvolvimento nas áreas alagáveis amazônicas
Beneficiário:Evlyn Márcia Leão de Moraes Novo
Linha de fomento: Auxílio à Pesquisa - Regular