Watanabe, F. S. Y.; Mishra, D.; Astuti, I.; Rodrigues, T. W. P.; Alcântara, E. H. de; Imai, N. N.; Barbosa, C.: Parametrization and calibration of a quasi-analytical algorithm for tropical eutrophic waters. ISPRS Journal of Photogrammetry and Remote Sensing, 121 , pp. 28–47, 2016, ISSN: 0924-2716.(Tipo: Journal Article | Resumo | Links | BibTeX | Tags: algorithm, calibration, parametrization, quasi-analytical, tropical reservoir)
@article{WATANABE201628,
title = {Parametrization and calibration of a quasi-analytical algorithm for tropical eutrophic waters},
author = {Fernanda Sayuri Yoshino Watanabe and Deepak R Mishra and Ike Astuti and Thanan Walesza Pequeno Rodrigues and Enner Herenio de Alcântara and Nilton Nobuhiro Imai and Cláudio Barbosa},
doi = {10.1016/j.isprsjprs.2016.08.009},
issn = {0924-2716},
year = {2016},
date = {2016-01-01},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {121},
pages = {28--47},
abstract = {Quasi-analytical algorithm (QAA) was designed to derive the inherent optical properties (IOPs) of water bodies from above-surface remote sensing reflectance (Rrs). 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},
keywords = {algorithm, calibration, parametrization, quasi-analytical, tropical reservoir},
pubstate = {published},
tppubtype = {article}
}
Quasi-analytical algorithm (QAA) was designed to derive the inherent optical properties (IOPs) of water bodies from above-surface remote sensing reflectance (Rrs). 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
: Parametrization and calibration of a quasi-analytical algorithm for tropical eutrophic waters. ISPRS Journal of Photogrammetry and Remote Sensing, 121 , pp. 28–47, 2016, ISSN: 0924-2716.