NIR Water-Leaving Radiance Correction

The NIR water-leaving radiance correction algorithm (Stumpf et al. 2003) was updated to address the following:

  • Correct an inconsistency with the conversion to and from Rrs and absorption/backscattering
  • Implement an alternative spectral backscattering relationship
  • Implement an alternative estimate for absorption in the red wavelength
  • Implement a modification to the iteration scheme


Rrs to IOP

The original algorithm used an approximation of the Gordon reflectance / IOP relationship to obtain the backscattering coefficient for the red wavelength. It then used the full Gordon quadratic form to obtain the NIR reflectance from the NIR IOPs. This was also inconsistent with the use of the Morel f/Q relationship (Morel et al. 2002) elsewhere in the atmospheric correction code. This inconsistency was resolved by using the Morel f/Q relationship for the NIR water-leaving radiance model.



Spectral Backscattering

The original algorithm used a spectral scattering relationship described by Gould et al. (1999) for the spectral backscattering relationship. This fixed relationship resulted in a retrieved NIR reflectance ratio that was significantly different from expectation (e.g., Ruddick et al. 2000; Hu et al. 2000). The revised method implements a spectral backscattering estimate described in Lee et al. (2002). This relationship derives the backscatter slope as function of a reflectance ratio. The resulting NIR reflectance ratio is more in line with the Ruddick and Hu estimates.



Estimating Absorption

The estimation of the absorption coefficient for the red wavelength previously involved two functions, one based on chlorophyll concentration, the other on a green/red reflectance ratio. This was modified to be a single, chlorophyll-based relationship derived using the NOMAD dataset.



Iteration Scheme

The original iteration scheme used the average of the retrieved NIR water-leaving radiances as the term on which convergence was tested. This has been changed to test convergence on the retrieved Rrs in the red wavelength.



Impact

As seen in the Chesapeake Bay regional time series analysis, the effect of these modifications is to significantly reduce the incidence of negative water-leaving radiance in the shorter wavelengths (412 - 490nm), and to substantially improve agreement in chlorophyll retrievals relative to ground truth measurements in the turbid and highly productive region of the upper bay (see Figure below).



Distribution of SeaWiFS-retrieved and measured chlorophyll in the northern reaches of Chesapeapeake Bay. Blue is SeaWiFS before the revised NIR water-leaving radiance correction, red is SeaWiFS after the revised correction, and black is ground truth. See Werdell et al. (2009) and Werdell et al. (2007) for information on the field data and analyses.



References

Stumpf, R.P., R.A. Arnone, R.W. Gould, Jr., P.M. Martinolich, V. Ransibrahmanakul (2003). A partially-coupled ocean-atmosphere model for retrieval of water-leaving radiance from SeaWiFS in coastal waters. chapter 9 In: Patt, F.S., et al., 2003: Algorithm Updates for the Fourth SeaWiFS Data Reprocessing. NASA Tech. Memo. 2003--206892, Vol. 22, S.B. Hooker and E.R. Firestone, Eds., NASA Goddard Space Flight Center, Greenbelt, Maryland.

Morel, A., D. Antoine, and B. Gentili (2002). Bidirectional reflectance of oceanic waters: acounting for Raman emission and varying particle size phase function, Appl. Opt., 41:6289-6306.

Richard W. Gould Jr., Robert A. Arnone, and Paul M. Martinolich, "Spectral Dependence of the Scattering Coefficient in Case 1 and Case 2 Waters," Appl. Opt. 38, 2377-2383 (1999).

Kevin George Ruddick, Fabrice Ovidio, and Machteld Rijkeboer, "Atmospheric Correction of SeaWiFS Imagery for Turbid Coastal and Inland Waters," Appl. Opt. 39, 897-912 (2000).

Chuanmin Hu, Kendall L. Carder, and Frank E. Muller-Karger, "Atmospheric Correction of SeaWiFS Imagery over Turbid Coastal Waters:A Practical Method", Rem. Sen. Env., 74:195-206 (2000).

ZhongPing Lee, Kendall L. Carder, and Robert A. Arnone, "Deriving Inherent Optical Properties from Water Color: a Multiband Quasi-Analytical Algorithm for Optically Deep Waters," Appl. Opt. 41, 5755-5772 (2002).