Modern approaches to shipborne ocean color remote sensing

In this paper, modernized shipborne procedures are presented to collect and process above-water radiometry for remote sensing applications. A setup of five radiometers and a bidirectional camera system, which provides panoramic sea surface and sky images, is proposed for the collection of high-resolution radiometric quantities. Images from the camera system can be used to determine sky state and potential glint, whitecaps, or foam contamination. A peak in the observed remote sensing reflectance RRS spectra between 750–780 nm was typically found in spectra with relatively high surface reflected glint (SRG), which suggests this waveband could be a useful SRG indicator. Simplified steps for computing uncertainties in SRG corrected RRS are proposed and discussed. The potential of utilizing “unweighted multimodel averaging,” which is the average of four or more common SRG correction models, is examined to determine the best approximation RRS. This best approximation RRS provides an estimate of RRS based on various SRG correction models established using radiative transfer simulations and field investigations. Applying the average RRS provides a measure of the inherent uncertainties or biases that result from a user subjectively choosing any one SRG correction model. Comparisons between inherent and apparent optical property derived observations were used to assess the robustness of the SRG multimodel averaging approach. Correlations among the standard SRG models were completed to determine the degree of association or similarities between the SRG models. Results suggest that the choice of glint models strongly affects derived RRS values and can also influence the blue to green band ratios used for modeling biogeochemical parameters such as for chlorophyll a. The objective here is to present a uniform and traceable methodology for determining shipborne RRS measurements and its associated errors due to glint correction and to ensure the direct comparability of these measurements in future investigations. We encourage the ocean color community to publish radiometric field measurements with matching and complete metadata in open access repositories.

[1]  Peng Wang,et al.  Uncertainties of inherent optical properties obtained from semianalytical inversions of ocean color. , 2005, Applied optics.

[2]  Hoepffner Nicolas,et al.  Why Ocean Colour? The Societal Benefits of Ocean-Colour Technology , 2008 .

[3]  Erika Young,et al.  Global remote sensing of Trichodesmium , 2014 .

[4]  C. Mobley,et al.  Phase function effects on oceanic light fields. , 2002, Applied optics.

[5]  G. Zibordi,et al.  An Evaluation of Above- and In-Water Methods for Determining Water-Leaving Radiances , 2002 .

[6]  C. Mobley,et al.  Removal of surface-reflected light for the measurement of remote-sensing reflectance from an above-surface platform. , 2010, Optics express.

[7]  Lin Li,et al.  An inversion model for deriving inherent optical properties of inland waters: Establishment, validation and application , 2013 .

[8]  B. Gentili,et al.  Diffuse reflectance of oceanic waters. III. Implication of bidirectionality for the remote-sensing problem. , 1996, Applied optics.

[9]  Marcel R. Wernand,et al.  Quality control of automated hyperspectral remote sensing measurements from a seaborne platform , 2011 .

[10]  Spyros Makridakis,et al.  Accuracy measures: theoretical and practical concerns☆ , 1993 .

[11]  Oliver Zielinski,et al.  Physical, Bio-Optical State and Correlations in North-Western European Shelf Seas , 2014, Remote. Sens..

[12]  P. Deschamps,et al.  Reduction of skylight reflection effects in the above-water measurement of diffuse marine reflectance. , 1999, Applied optics.

[13]  J. Olszewski,et al.  Derivation of remote sensing reflectance of Baltic waters from above-surface measurements , 1999 .

[14]  Jaan Praks,et al.  A sun glint correction method for hyperspectral imagery containing areas with non-negligible water leaving NIR signal , 2009 .

[15]  James S. Hodges,et al.  Uncertainty, Policy Analysis and Statistics , 1987 .

[16]  E. Boss,et al.  Regional to global assessments of phytoplankton dynamics from the SeaWiFS mission , 2013 .

[17]  André Morel,et al.  Non-isotropy of the upward radiance field in typical coastal (Case 2) waters , 2001 .

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

[19]  G. A. Barnard,et al.  New Methods of Quality Control , 1963 .

[20]  Anne-Christin Schulz,et al.  Using ocean colour remote sensing products to estimate turbidity at the Wadden Sea time series station Spiekeroog , 2014 .

[21]  Chuanmin Hu,et al.  Spectral interdependence of remote-sensing reflectance and its implications on the design of ocean color satellite sensors. , 2014, Applied optics.

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

[23]  D. Menzies,et al.  Remote-sensing reflectance determinations in the coastal ocean environment: impact of instrumental characteristics and environmental variability. , 2000, Applied optics.

[24]  Adrian E. Raftery,et al.  Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .

[25]  J. Olszewski,et al.  Sky glint correction in measurements of upward radiance above the sea surface , 2000 .

[26]  Michael Sydor,et al.  Surface Corrections for Remote Sensing Reflectance in Case 2 Waters of Lake Superior , 2006 .

[27]  David A. Siegel,et al.  Climate-driven trends in contemporary ocean productivity , 2006, Nature.

[28]  Brandon J. Russell,et al.  Hyperspectral discrimination of floating mats of seagrass wrack and the macroalgae Sargassum in coastal waters of Greater Florida Bay using airborne remote sensing , 2015 .

[29]  Robert Frouin,et al.  Ocean-color radiometry across the Southern Atlantic and Southeastern Pacific: Accuracy and remote sensing implications , 2014 .

[30]  J R Zaneveld,et al.  Absorption and attenuation of visible and near-infrared light in water: dependence on temperature and salinity. , 1997, Applied optics.

[31]  Alexander Gilerson,et al.  Polarization impacts on the water-leaving radiance retrieval from above-water radiometric measurements. , 2012, Applied optics.

[32]  R. Freckleton,et al.  Model averaging, missing data and multiple imputation: a case study for behavioural ecology , 2010, Behavioral Ecology and Sociobiology.

[33]  Rüdiger Röttgers,et al.  Evaluation of scatter corrections for ac-9 absorption measurements in coastal waters , 2013 .

[34]  Gerald K. Moore,et al.  Satellite remote sensing of water turbidity / Sonde de télémesure par satellite de la turbidité de l'eau , 1980 .

[35]  J. Ishizaka,et al.  Alternative measuring method for water-leaving radiance using a radiance sensor with a domed cover. , 2006, Optics express.

[36]  R. Arnone,et al.  Absorption, Scattering, and Remote-Sensing Reflectance Relationships in Coastal Waters: Testing aNew Inversion Algorithm , 2001 .

[37]  Oliver Zielinski,et al.  Comparison of remote sensing reflectance from above-water and in-water measurements west of Greenland, Labrador Sea, Denmark Strait, and west of Iceland. , 2013, Optics express.

[38]  Oliver Zielinski,et al.  Methods in reducing surface reflected glint for shipborne above-water remote sensing , 2013 .

[39]  David Draper,et al.  Assessment and Propagation of Model Uncertainty , 2011 .