Remote Estimation of Water Clarity in Optically Complex Estuarine Waters

Woodruff, Dana L.; Stumpf, Richard P.; Scope, Julie A.; Paerl, Hans W.

doi:10.1016/s0034-4257(98)00108-4

Cited by 73 publications

(34 citation statements)

References 30 publications

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“…Accounting for a -semi-infinite‖ layer at  k (PAR) > 2.5 − 3 [43], we ignored the bottom's influence on the optical surface measurements in the APES. Note, the similarity of the K d (PAR) data in this study to that reported in [7].…”

Section: Radiometric Measurementssupporting

confidence: 84%

“…Diffuse attenuation coefficients across the visible range, K d (PAR), typically range from 1.0 m −1 to 2.5 m −1 in the NRE-PS region [7]; therefore, the diffuse attenuation optical depth  k (PAR) = ZK d (PAR) ranges from 2 to 18. …”

Section: Study Areamentioning

confidence: 99%

“…However, as shown by Haltrin and Gallegos [10] and Sokoletsky [11], neglecting these factors may lead to large errors. Additionally, it was assumed [7] that the specific absorption and backscattering coefficients for PS were constants. This assumption is probably not valid for the NRE and PS area of interest due to the large variability of dissolved and suspended matter in the water resulting in different optical responses [12][13][14].…”

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confidence: 99%

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MERIS Retrieval of Water Quality Components in the Turbid Albemarle-Pamlico Sound Estuary, USA

et al. 2011

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Two remote-sensing optical algorithms for the retrieval of the water quality components (WQCs) in the Albemarle-Pamlico Estuarine System (APES) were developed and validated for chlorophyll a (Chl). Both algorithms were semi-empirical because they incorporated some elements of optical processes in the atmosphere, water, and air/water interface. One incorporated a very simple atmospheric correction and modified quasi-single-scattering approximation (QSSA) for estimating the spectral Gordon's parameter, and the second estimated WQCs directly from the top of atmosphere satellite radiance without atmospheric corrections. A modified version of the Global Meteorological Database for Solar Energy and Applied Meteorology (METEONORM) was used to estimate directional atmospheric transmittances. The study incorporated in situ Chl data from the Ferry-Based Monitoring (FerryMon) program collected in the Neuse River Estuary (n = 633) and Pamlico Sound (n = 362), along with Medium Resolution Imaging Spectrometer (MERIS) satellite imagery collected (2006)(2007)(2008)(2009)

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Section: Radiometric Measurementssupporting

confidence: 84%

Section: Study Areamentioning

confidence: 99%

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confidence: 99%

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MERIS Retrieval of Water Quality Components in the Turbid Albemarle-Pamlico Sound Estuary, USA

et al. 2011

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“…Historically (Lorenzen, 1972;Smith and Baker, 1978;Woodruff et al, 1999;Gallegos, 2001;Devlin et al, 2008), there are also studies that treat the attenuation coefficient (K(PAR)) of the photosynthetic available radiation (PAR) as being additive of the contributions of individual constituents,…”

Section: Numerical Demonstrationmentioning

confidence: 99%

AOPs Are Not Additive: On the Biogeo-Optical Modeling of the Diffuse Attenuation Coefficient

2018

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Commonly we see the diffuse attenuation coefficient of downwelling irradiance (K d ) expressed as a sum of the contributions of various constituents. We show here that, both theoretically and numerically, because K d is an apparent optical property (AOP), this approach is not consistent with radiative transfer. We further advocate the application of models of K d developed in past decades that are not only consistent with radiative transfer but also provide more accurate estimates, in particular for coastal turbid waters.

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“…However, In situ measurements of water quality characteristics tend to be limited, especially in the temporal and spatial domains, because of the costs associated with data collection and laboratory analysis. Present and future sensors such as Landsat TM, AVHRR, SeaWiFS, MODIS and MERIS can provide an alternative means for obtaining relatively lowcost, simultaneously information on surface water conditions from numerous lakes and coastal or oceanic areas situated within a large geographic area [7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A Semi-empirical Algorithm of Water Transparency at the Green Wavelength Band of Optical Remote Sensing

Zhang¹,

Pulliainen²,

Koponen³

et al. 2002

PIER

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Abstract-This study employed water transparent characteristics from the Gulf and archipelago of Finland and the corresponding data sets of optical sensors at the green wavelength band to estimate Secchi disk depth (SDD). The SDD is one major optical measurement of water transparency in the study area, where the coastal waters are dominated by absorption from both dissolved and particulate organic matter since the Gulf is optically dominated by scattering from suspended sediments. Concurrent in situ measurements, Landsat TM and simulated SeaWiFS data were obtained in August 1997. The results show that the SDD from the narrow green bandwidth (20 nm) data of simulated SeaWiFS is slightly better than the SDD from the broad green bandwidth (80 nm) data of TM using the semi-empirical algorithm developed in the study. The study of water transparent characteristics in the area still needs to be further investigated using SeaWiFS, MODIS and MERIS in the future.

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Remote Estimation of Water Clarity in Optically Complex Estuarine Waters

Cited by 73 publications

References 30 publications

MERIS Retrieval of Water Quality Components in the Turbid Albemarle-Pamlico Sound Estuary, USA

MERIS Retrieval of Water Quality Components in the Turbid Albemarle-Pamlico Sound Estuary, USA

AOPs Are Not Additive: On the Biogeo-Optical Modeling of the Diffuse Attenuation Coefficient

A Semi-empirical Algorithm of Water Transparency at the Green Wavelength Band of Optical Remote Sensing

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