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The use of a MODIS band-ratio algorithm versus a new hybrid approach for estimating colored dissolved organic matter (CDOM)
Citation:
Duffy, A., B. Schaeffer, AND C. Le. The use of a MODIS band-ratio algorithm versus a new hybrid approach for estimating colored dissolved organic matter (CDOM). Presented at CERF 2013, San Diego, CA, November 03 - 07, 2013.
Impact/Purpose:
Oral presentation for CERF conference in November 2013
Description:
Satellite remote sensing offers synoptic and frequent monitoring of optical water quality parameters, such as chlorophyll-a, turbidity, and colored dissolved organic matter (CDOM). While traditional satellite algorithms were developed for the open ocean, these algorithms often do not transfer to more optically-complex coastal and estuarine waters. Previously, an empirical Moderate-Resolution Imaging Spectroradiometer (MODIS) band-ratio algorithm was found suitable (R2=0.71; p-value<0.0001; RMSE=0.51) for measuring CDOM absorption at 412 nm in northwest Florida estuaries. However, potential atmospheric correction errors cause uncertainty in satellite-derived remote sensing reflectance [Rrs()0+] and thus, uncertainty in the estimates derived from band-ratio algorithms. A new hybrid approach (R2=0.66; p-value<0.0001; RMSE=0.52) combined the use of empirical and semi-analytical algorithms to derive measures of CDOM absorption at 443 nm, and is expected to yield more accurate estimates of optical water quality parameters in estuarine waters than the use of band-ratio algorithms alone. This study investigated the performance of both approaches and considers options for optimal algorithm performance.