Relationships between suspended mineral concentrations and red-waveband reflectances in moderately turbid shelf seas

article i nfo This paper considers the uncertainties that arise in estimating the concentration of suspended minerals by optical remote sensing in waters which contain unknown concentrations of other optically significant con- stituents. Relationships between suspended mineral concentrations and remote sensing reflectance were cal- culated by radiative transfer modelling using representative specific inherent optical properties (SIOPs) for phytoplankton (CHL), suspended mineral particles of terrigenous origin (MSSter) and coloured dissolved or- ganic matter (CDOM) that were derived from measurements at 173 stations in UK shelf seas. When only sus- pended minerals were present, remote sensing reflectance (Rrs) was related to MSSter by a family of saturation curves whose shape depended strongly on wavelength. However the addition of CHL and CDOM made this relationship considerably more complex. Polynomial expressions were therefore derived for the maximum and minimum values of MMSter consistent with a given Rrs667 in the presence of independently varying concentrations of CHL and CDOM. For CHL ranging from 0 to 10 mg m −3 and CDOM from 0 to 1m −1 , for example, an Rrs667 observation 0.01 sr −1 could corresponded to MSSter values between 7 and 12 g m −3 . The presence of biogenic minerals in the form of diatom frustules, MSSdia had little influence on the accuracy of MSSter retrieval. The degree of variability in the relationship between MSSter and Rrs667 pre- dicted by the model was confirmed by measurements of radiometric profiles and mineral concentrations at 110 Irish Sea stations. Uncertainties in the remote sensing of MSSter in coastal waters are more appropriately indicated by upper and lower limits set according to the likely ranges of other optically significant constitu- ents than by percentage errors. Moreover, the influence of these constituents should be eliminated before variations in the relationship between MSSter and Rrs are attributed to qualitative changes in mineral particle characteristics.

[1]  Menghua Wang,et al.  Characterization of global ocean turbidity from Moderate Resolution Imaging Spectroradiometer ocean color observations , 2010 .

[2]  Dariusz Stramski,et al.  Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe , 2003 .

[3]  D. Stramski,et al.  MODIS imagery of turbid plumes in San Diego coastal waters during rainstorm events , 2010 .

[4]  Tian Tian,et al.  Importance of resuspended sediment dynamics for the phytoplankton spring bloom in a coastal marine ecosystem , 2009 .

[5]  J. Hunter,et al.  Fronts in the Irish Sea , 1974, Nature.

[6]  M. Kishino,et al.  Development of a Neural Network Algorithm for Retrieving Concentrations of Chlorophyll, Suspended Matter and Yellow Substance from Radiance Data of the Ocean Color and Temperature Scanner , 2004 .

[7]  Libe Washburn,et al.  River plume patterns and dynamics within the Southern California Bight , 2007 .

[8]  Eurico J. D'Sa,et al.  Short-term Influences on Suspended Particulate Matter Distribution in the Northern Gulf of Mexico: Satellite and Model Observations , 2008, Sensors.

[9]  Shanti Reddy,et al.  Evaluation of satellite remote sensing for operational monitoring of sediment plumes produced by dredging at Hay Point, Queensland, Australia , 2007 .

[10]  Dariusz Stramski,et al.  Light absorption by aquatic particles in the near‐infrared spectral region , 2002 .

[11]  David Doxaran,et al.  Uncertainties associated to measurements of inherent optical properties in natural waters. , 2010, Applied optics.

[12]  Prieur,et al.  Analysis of variations in ocean color’ , 2000 .

[13]  Menghua Wang,et al.  An assessment of the black ocean pixel assumption for MODIS SWIR bands , 2009 .

[14]  W. Esaias,et al.  An empirical approach to ocean color data: Reducing bias and the need for post-launch radiometric re-calibration , 2009 .

[15]  B. Nechad,et al.  Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters , 2010 .

[16]  Shuisen Chen,et al.  Remote sensing assessment of sediment re-suspension during Hurricane Frances in Apalachicola Bay, USA , 2009 .

[17]  K. Voss,et al.  Spectral optimization for constituent retrieval in Case 2 waters II: Validation study in the Chesapeake Bay , 2009 .

[18]  J. Brock,et al.  Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: initial results from Tampa Bay, FL , 2004 .

[19]  R. Bukata,et al.  Suspended particulate matter in Lake Erie derived from MODIS aquatic colour imagery , 2010 .

[20]  E. Fry,et al.  Absorption spectrum (380-700 nm) of pure water. II. Integrating cavity measurements. , 1997, Applied optics.

[21]  D. Bowers A simple turbulent energy-based model of fine suspended sediments in the Irish Sea , 2003 .

[22]  Annick Bricaud,et al.  Optical efficiency factors of some phytoplankters1 , 1983 .

[23]  David Bowers,et al.  An algorithm for the retrieval of suspended sediment concentrations in the Irish Sea from SeaWiFS ocean colour satellite imagery , 2003 .

[24]  Jean-François Berthon,et al.  Investigation of the optical backscattering to scattering ratio of marine particles in relation to their biogeochemical composition in the eastern English Channel and southern North Sea , 2007 .

[25]  L. Prieur,et al.  Analysis of variations in ocean color1 , 1977 .

[26]  H. Gordon,et al.  Spectral optimization for constituent retrieval in Case 2 waters I: Implementation and performance , 2009 .

[27]  Dariusz Stramski,et al.  Optical properties of Asian mineral dust suspended in seawater , 2004 .

[28]  Marcel Babin,et al.  Variability of the amplification factor of light absorption by filter-retained aquatic particles in the coastal environment , 2000 .

[29]  Stelvio Tassan,et al.  Measurement of light absorption by aquatic particles retained on filters: determination of the optical pathlength amplification by the ‘transmittance-reflectance’ method , 1998 .

[30]  G. F. Humphrey,et al.  New spectrophotometric equations for determining chlorophylls a, b, c1 and c2 in higher plants, algae and natural phytoplankton , 1975 .

[31]  W Scott Pegau,et al.  Spectral backscattering properties of marine phytoplankton cultures. , 2010, Optics express.

[32]  David McKee,et al.  Optical water type discrimination and tuning remote sensing band-ratio algorithms: Application to retrieval of chlorophyll and Kd(490) in the Irish and Celtic Seas , 2007 .

[33]  Michael S Twardowski,et al.  Hyperspectral temperature and salt dependencies of absorption by water and heavy water in the 400-750 nm spectral range. , 2006, Applied optics.

[34]  Roland Doerffer,et al.  Neural network for emulation of an inverse model: operational derivation of Case II water properties from MERIS data , 1999 .

[35]  C. Binding,et al.  Estimating suspended sediment concentrations from ocean colour measurements in moderately turbid waters; the impact of variable particle scattering properties , 2005 .

[36]  Annelies Hommersom,et al.  A review on substances and processes relevant for optical remote sensing of extremely turbid marine areas, with a focus on the Wadden Sea , 2010, Helgoland Marine Research.

[37]  Gia Lamela,et al.  Optical scattering and backscattering by organic and inorganic particulates in U.S. coastal waters. , 2008, Applied optics.

[38]  C. Mobley,et al.  Estimation of the remote-sensing reflectance from above-surface measurements. , 1999, Applied optics.

[39]  Stelvio Tassan,et al.  Variability of light absorption by aquatic particles in the near-infrared spectral region. , 2003, Applied optics.

[40]  K. Baker,et al.  Optical properties of the clearest natural waters (200-800 nm). , 1981, Applied optics.

[41]  A. Bricaud,et al.  Spectral absorption coefficients of living phytoplankton and nonalgal biogenous matter: A comparison between the Peru upwelling areaand the Sargasso Sea , 1990 .

[42]  D. Siegel,et al.  Estimating suspended sediment concentrations in turbid coastal waters of the Santa Barbara Channel with SeaWiFS , 2004 .

[43]  L. Prieur,et al.  Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domains1 , 1981 .

[44]  Danling Tang,et al.  Changes in suspended sediments associated with 2004 Indian Ocean tsunami , 2009 .

[45]  C. Mobley,et al.  Hyperspectral remote sensing for shallow waters. 2. Deriving bottom depths and water properties by optimization. , 1999, Applied optics.

[46]  Vittorio E. Brando,et al.  Bio‐optical variability of the absorption and scattering properties of the Queensland inshore and reef waters, Australia , 2009 .

[47]  V. Vantrepotte,et al.  Effect of inherent optical properties variability on the chlorophyll retrieval from ocean color remote sensing: an in situ approach. , 2010, Optics express.

[48]  S. Chenery,et al.  Isotopic composition and concentration of Pb in suspended particulate matter of the Irish Sea reveals distribution and sources. , 2006, Marine pollution bulletin.

[49]  Reinold Pasterkamp,et al.  Remotely sensed seasonality in the spatial distribution of sea-surface suspended particulate matter in the southern North Sea , 2008 .

[50]  Minwei Zhang,et al.  Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery , 2010 .

[51]  Zibordi Giuseppe,et al.  Remote Sensing of Shelf Sea Ecosystems - State of the Art and Perspectives , 2008 .

[52]  S. Richter,et al.  Biogeo-optics: particle optical properties and the partitioning of the spectral scattering coefficient of ocean waters. , 2008, Applied optics.

[53]  J. Vives i Batlle,et al.  A process-based model for the partitioning of soluble, suspended particulate and bed sediment fractions of plutonium and caesium in the eastern Irish Sea. , 2008, Journal of environmental radioactivity.

[54]  F. Muller‐Karger,et al.  Remote sensing of particle backscattering in Chesapeake Bay: a 6-year SeaWiFS retrospective view , 2007 .

[55]  J. Zaneveld,et al.  Robust underwater visibility parameter. , 2003, Optics express.

[56]  Maria Tzortziou,et al.  Bio-optics of the Chesapeake Bay from measurements and radiative transfer closure , 2006 .

[57]  C. Binding,et al.  The optical properties of mineral suspended particles: A review and synthesis , 2006 .

[58]  S. Andréfouët,et al.  Optical Algorithms at Satellite Wavelengths for Total Suspended Matter in Tropical Coastal Waters , 2008, Sensors.

[59]  A. Weidemann,et al.  Absorption and scattering coefficients in Irondequoit Bay1 , 1986 .

[60]  Liis Sipelgas,et al.  A bio-optical model for the calculation of suspended matter concentration from MODIS data in the Pakri Bay, the Gulf of Finland , 2009 .

[61]  Dariusz Stramski,et al.  Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration , 2003 .

[62]  Dariusz Stramski,et al.  Variations in the mass‐specific absorption coefficient of mineral particles suspended in water , 2004 .

[63]  Maria Tzortziou,et al.  Remote sensing reflectance and inherent optical properties in the mid Chesapeake Bay , 2007 .

[64]  B. Osborne,et al.  Light and Photosynthesis in Aquatic Ecosystems. , 1985 .

[65]  Steven E. Lohrenz,et al.  Satellite Assessment of Bio-Optical Properties of Northern Gulf of Mexico Coastal Waters Following Hurricanes Katrina and Rita , 2008, Sensors.

[66]  David Bowers,et al.  Remote sensing of temporal and spatial patterns of suspended particle size in the Irish Sea in relation to the Kolmogorov microscale , 2009 .

[67]  J. Kirk,et al.  Monte Carlo study of the nature of the underwater light field in, and the relationships between optical properties of, turbid yellow waters , 1981 .

[68]  R. Doerffer,et al.  The MERIS Case 2 water algorithm , 2007 .

[69]  Stéphane Maritorena,et al.  Optimization of a semianalytical ocean color model for global-scale applications. , 2002, Applied optics.

[70]  S. Boudjelas,et al.  The distribution of fine suspended sediments in the surface waters of the Irish Sea and its relation to tidal stirring , 1998 .

[71]  R. Colwell Remote sensing of the environment , 1980, Nature.

[72]  Casey C. Moore,et al.  Scattering error correction of reflecting-tube absorption meters , 1994, Other Conferences.

[73]  Steven E. Lohrenz,et al.  A novel theoretical approach to correct for pathlength amplification and variable sampling loading in measurements of particulate spectral absorption by the quantitative filter technique , 2000 .

[74]  William M. Balch,et al.  Light backscattering properties of marine phytoplankton: relationships to cell size, chemical composition and taxonomy , 2004 .

[75]  R. Pasterkamp,et al.  HYDROPT: A fast and flexible method to retrieve chlorophyll-a from multispectral satellite observations of optically complex coastal waters , 2008 .

[76]  Tarmo Kõuts,et al.  Operational monitoring of suspended matter distribution using MODIS images and numerical modelling , 2006 .

[77]  B. Franz,et al.  Sensor-independent approach to the vicarious calibration of satellite ocean color radiometry. , 2007, Applied optics.