Bio-optical algorithm evaluation for MODIS for western Canada coastal waters: An exploratory approach using in situ reflectance

Abstract Biophysical and above-water reflectance measurements collected in 2006 were used to evaluate the OC3M, standard GSM01, and a modified version of the GSM01 algorithms for estimating chlorophyll-a (chl) concentrations in the Strait of Georgia, located off the southwest coast of Canada. The Strait was generally a case 2 water body, transitioning from chromophoric dissolved organic matter (CDOM) dominant in the central region to possibly particulate dominant in Fraser River plume regions. Results showed that the OC3M algorithm was somewhat effective (R2 = 0.550) outside the most turbid areas of the Fraser River plume. However, a systematic overestimation of lower chl concentrations was found, which may have been related to the higher CDOM absorption observed throughout the Strait. The standard GSM01 algorithm had moderately good agreement with measured CDOM absorption (R2 = 0.593) and total suspended solids (TSS) concentrations (R2 = 0.888), but was ineffective at estimating chl concentrations. Localized characterization of the CDOM absorption, through a hyperbolic CDOM model, improved the modified GSM01 results with slightly better agreement with measure CDOM absorption (R2 = 0.614) and TSS concentrations (R2 = 0.933). When the modified GSM01 algorithm was limited to regions with lower combined CDOM and non-algal particulate absorption (adg (443)

[1]  J. Gower,et al.  Interpretation of the 685nm peak in water-leaving radiance spectra in terms of fluorescence, absorption and scattering, and its observation by MERIS , 1999 .

[2]  A. E. Greenberg,et al.  Standard methods for the examination of water and wastewater : supplement to the sixteenth edition , 1988 .

[3]  E. Boss,et al.  Modeling the spectral shape of absorption by chromophoric dissolved organic matter , 2004 .

[4]  D. Stramski,et al.  Modeling the optical properties of mineral particles suspended in seawater and their influence on ocean reflectance and chlorophyll estimation from remote sensing algorithms. , 2004, Applied optics.

[5]  A. Vernal,et al.  Dinoflagellate cysts as indicators of water quality and productivity in British Columbia estuarine environments , 2007 .

[6]  Paul J. Harrison,et al.  Review of the Biological Oceanography of the Strait of Georgia: Pelagic Environment , 1983 .

[7]  T. Platt,et al.  Discrimination of diatoms from other phytoplankton using ocean-colour data , 2004 .

[8]  Maria Tzortziou,et al.  Atmospheric correction for NO2 absorption in retrieving water-leaving reflectances from the SeaWiFS and MODIS measurements. , 2007, Applied optics.

[9]  James W. Brown,et al.  A semianalytic radiance model of ocean color , 1988 .

[10]  J. Gower,et al.  Detection of intense plankton blooms using the 709 nm band of the MERIS imaging spectrometer , 2005 .

[11]  H. Gordon,et al.  Normalized water-leaving radiance: revisiting the influence of surface roughness. , 2005, Applied optics.

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

[13]  B. Gentili,et al.  Bio-optical properties of high chlorophyll Case 1 waters and of yellow-substance-dominated Case 2 waters , 2006 .

[14]  Ann E. Gargett,et al.  What Determines Seasonal and Interannual Variability of Phytoplankton and Zooplankton in Strongly Estuarine Systems , 2000 .

[15]  Menghua Wang,et al.  Effects of ocean surface reflectance variation with solar elevation on normalized water-leaving radiance. , 2006, Applied optics.

[16]  F. Taylor,et al.  Mosaicism of microplankton communities in the northern Strait of Georgia, British Columbia , 1991 .

[17]  P. Kowalczuk,et al.  Optical characteristics of two contrasting Case 2 waters and their influence on remote sensing algorithms , 2003 .

[18]  K. Ruddick,et al.  Seaborne measurements of near infrared water‐leaving reflectance: The similarity spectrum for turbid waters , 2006 .

[19]  P. J. Werdell,et al.  A multi-sensor approach for the on-orbit validation of ocean color satellite data products , 2006 .

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

[21]  M. Twardowski,et al.  Separating in situ and terrigenous sources of absorption by dissolved materials in coastal waters , 2001 .

[22]  Bryan A. Franz,et al.  MODIS Land Bands for Ocean Remote Sensing Applications , 2006 .

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

[24]  C. McClain,et al.  Evaluation of SeaWiFS chlorophyll algorithms in the Southwestern Atlantic and Southern Oceans , 2005 .

[25]  Timothy J. Smyth,et al.  Inherent optical properties of the Irish Sea and their effect on satellite primary production algorithms , 2005 .

[26]  T. Platt,et al.  Pigments and species composition of natural phytoplankton populations: effect on the absorption spectra , 1998 .

[27]  E. Ann Gallie,et al.  Specific absorption and backscattering spectra for suspended minerals and chlorophyll-a in chilko lake, British Columbia , 1992 .

[28]  T. Platt,et al.  Remote sensing of phytoplankton pigments: A comparison of empirical and theoretical approaches , 2001 .

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

[30]  R. Macdonald,et al.  Seasonal and spatial variations in the source and transport of sinking particles in the Strait of Georgia, British Columbia, Canada , 2005 .

[31]  D. Stramski,et al.  An evaluation of MODIS and SeaWiFS bio-optical algorithms in the Baltic Sea , 2004 .

[32]  Marcel Babin,et al.  Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (case 1) waters: Analysis and implications for bio-optical models , 1998 .

[33]  M. Defoin-Platel,et al.  How ambiguous is the inverse problem of ocean color in coastal waters , 2007 .

[34]  David Doxaran,et al.  Apparent and inherent optical properties of turbid estuarine waters: measurements, empirical quantification relationships, and modeling. , 2006, Applied optics.

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

[36]  P. Kowalczuk,et al.  Empirical relationships between coloured dissolved organic matter (CDOM) absorption and apparent optical properties in Baltic Sea waters , 2005 .

[37]  S. Maritorena,et al.  Ocean color observations and modeling for an optically complex site: Santa Barbara Channel, California, USA , 2007 .

[38]  P. J. Werdell,et al.  An improved in-situ bio-optical data set for ocean color algorithm development and satellite data product validation , 2005 .

[39]  Richard L. Miller,et al.  Bio-optical properties and ocean color algorithms for coastal waters influenced by the Mississippi River during a cold front. , 2006, Applied optics.

[40]  M. Pinkerton,et al.  Modification to the atmospheric correction of SeaWiFS ocean colour images over turbid waters , 2005 .

[41]  J. Milliman.  Sedimentation in the Fraser River and its estuary, southwestern British Columbia (Canada) , 1980 .

[42]  H. Gordon,et al.  Remote Assessment of Ocean Color for Interpretation of Satellite Visible Imagery: A Review , 1983 .

[43]  Giorgio Dall'Olmo,et al.  Effect of bio-optical parameter variability and uncertainties in reflectance measurements on the remote estimation of chlorophyll-a concentration in turbid productive waters: modeling results. , 2006, Applied optics.

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

[45]  A. Morel,et al.  Improved detection of turbid waters from ocean color sensors information , 2006 .

[46]  Trevor Platt,et al.  A two‐component model of phytoplankton absorption in the open ocean: Theory and applications , 2006 .

[47]  R. Arnone,et al.  Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters. , 2002, Applied optics.

[48]  L. Prieur,et al.  An optical classification of coastal and oceanic waters based on the specific spectral absorption curves of phytoplankton pigments, dissolved organic matter, and other particulate materials1 , 1981 .

[49]  R. Kostaschuk,et al.  Suspended sediment concentration in a buoyant plume: Fraser River, Canada , 1993 .

[50]  J. Adolf,et al.  Bio-optical model for Chesapeake Bay and the Middle Atlantic Bight , 2004 .

[51]  Charles R. McClain,et al.  Data analysis system developed for ocean color satellite sensors , 2001 .