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
Ogashawara, I.; Mishra, D.; Nascimento, R.; Alcântara, E. H. de; Kampel, M.; Stech, J.: Re-parameterization of a quasi-analytical algorithm for colored dissolved organic matter dominant inland waters. International Journal of Applied Earth Observation and Geoinformation, 53 , pp. 128–145, 2016, ISSN: 0303-2434.(Tipo: Journal Article | Resumo | Links | BibTeX | Tags: algorithm, cdom, inland water, parametrization, quasi-analytical)
@article{OGASHAWARA2016128,
title = {Re-parameterization of a quasi-analytical algorithm for colored dissolved organic matter dominant inland waters},
author = {Igor Ogashawara and Deepak R Mishra and Renata F F Nascimento and Enner Herenio de Alcântara and Milton Kampel and Jose L Stech},
doi = {10.1016/j.jag.2016.09.001},
issn = {0303-2434},
year = {2016},
date = {2016-01-01},
journal = {International Journal of Applied Earth Observation and Geoinformation},
volume = {53},
pages = {128--145},
abstract = {Quasi-Analytical Algorithms (QAAs) are based on radiative transfer equations and have been used to derive inherent optical properties (IOPs) from the above surface remote sensing reflectance (Rrs) in aquatic systems in which phytoplankton is the dominant optically active constituents (OACs). However, Colored Dissolved Organic Matter (CDOM) and Non Algal Particles (NAP) can also be dominant OACs in water bodies and till now a QAA has not been parametrized for these aquatic systems. In this study, we compared the performance of three widely used QAAs in two CDOM dominated aquatic systems which were unsuccessful in retrieving the spectral shape of IOPS and produced minimum errors of 350},
keywords = {algorithm, cdom, inland water, parametrization, quasi-analytical},
pubstate = {published},
tppubtype = {article}
}
Quasi-Analytical Algorithms (QAAs) are based on radiative transfer equations and have been used to derive inherent optical properties (IOPs) from the above surface remote sensing reflectance (Rrs) in aquatic systems in which phytoplankton is the dominant optically active constituents (OACs). However, Colored Dissolved Organic Matter (CDOM) and Non Algal Particles (NAP) can also be dominant OACs in water bodies and till now a QAA has not been parametrized for these aquatic systems. In this study, we compared the performance of three widely used QAAs in two CDOM dominated aquatic systems which were unsuccessful in retrieving the spectral shape of IOPS and produced minimum errors of 350
: 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.