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5 November 2003 Remote sensing of chlorophyll concentration from space via principal component analysis of atmospheric effects
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Abstract
A methodology is proposed to retrieve marine reflectance and chlorophyll-a concentration from space by decomposing the satellite reflectance into principal components. The components sensitive to the ocean signal are combined to retrieve the principal components of marine reflectance, allowing reconstruction of marine reflectance and estimation of chlorophyll-a concentration. Multi-layered perceptrons are used to approximate the functions relating the useful principal components of satellite reflectance to the principal components of marine reflectance. The algorithm is developed and evaluated using non-noisy and noisy synthetic data sets created for a wide range of angular and geophysical conditions. In the absence of noise on satellite reflectance, the relative error on marine reflectance does not exceed 2%. Accurate retrieval of the first principal component of marine reflectance allows a global relative error of 5.4% on chlorophyll-a concentration. In the presence of 1% non-correlated and 5% spectrally correlated noise on satellite reflectance, the relative error is increased to 6% and 21%, respectively. Application to SeaWiFS imagery yields marine reflectance and chlorophyll-a concentration fields that resemble those obtained from the standard SeaWiFS processing, but are generally less contrasted. Accuracy can be improved by including bio-optical variability in the simulated marine reflectance ensembles.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lydwine S. Gross-Colzy and Robert J. Frouin "Remote sensing of chlorophyll concentration from space via principal component analysis of atmospheric effects", Proc. SPIE 5155, Ocean Remote Sensing and Imaging II, (5 November 2003); https://doi.org/10.1117/12.512191
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