Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

Full text
Author(s):
Watanabe, Fernanda ; Mishra, Deepak R. ; Astuti, Ike ; Rodrigues, Thanan ; Alcantara, Enner ; Imai, Nilton N. ; Barbosa, Claudio
Total Authors: 7
Document type: Journal article
Source: ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING; v. 121, p. 28-47, NOV 2016.
Web of Science Citations: 21
Abstract

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)

FAPESP's process: 13/09045-7 - Submersed aquatic vegetation - SAV mapping based on radiative transfer theory - RTT in water bodies
Grantee:Nilton Nobuhiro Imai
Support type: Regular Research Grants
FAPESP's process: 15/18525-8 - Inversion model based on radiactive transfer equation for estimating the chlorophyll-a concentration in productive waters - Barra Bonita reservoir, Tietê River, SP
Grantee:Fernanda Sayuri Yoshino Watanabe
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 12/19821-1 - Bio-optical model parametrization to study the chlorophyll-A concentration along a cascade of reservoirs
Grantee:Enner Herenio de Alcântara
Support type: Regular Research Grants
FAPESP's process: 15/21586-9 - Re-parametrization of a Quasi-Analytical Algorithm (QAA) to estimating the inherent optical properties in reservoirs of Tietê River
Grantee:Enner Herenio de Alcântara
Support type: Regular Research Grants