Paper
7 October 2011 Estimating uncertainties in bio-optical products derived from satellite ocean color imagery using an ensemble approach
Richard W Gould Jr., Sean C. McCarthy, Igor Shulman, Emanuel Coelho, James Richman
Author Affiliations +
Abstract
We propose a methodology to quantify errors and produce uncertainty maps for satellite-derived ocean color bio-optical products using ensemble simulations. Ensemble techniques have been used by the environmental numerical modeling community to propagate initialization, forcing, and algorithm error sources through-out the full simulation process, but similar approaches have not yet been applied to satellite optical properties. Uncertainties in retrievals of bio-optical properties from satellite ocean color imagery are related to a variety of factors, including sensor calibration, atmospheric correction, and the bio-optical inversion algorithms. Errors propagate, amplify, and intertwine along the processing path, so it is important to understand how the errors cascade through each step of the analysis, to assess their impact and identify the main factors contributing to the uncertainties in the final products. Also, we are interested in producing short-term forecasts of the bio-optical property distributions, by coupling the satellite imagery with physical circulation models. So, in addition to the uncertainties in the satellite-derived bio-optical properties due to the above-mentioned factors, the uncertainties in the model currents used to advect the bio-optical properties add another layer of complexity to the problem. We outline these processes and present preliminary results for this approach.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard W Gould Jr., Sean C. McCarthy, Igor Shulman, Emanuel Coelho, and James Richman "Estimating uncertainties in bio-optical products derived from satellite ocean color imagery using an ensemble approach", Proc. SPIE 8175, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, 817506 (7 October 2011); https://doi.org/10.1117/12.897614
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Satellites

Atmospheric modeling

Satellite imaging

Error analysis

Earth observing sensors

Aerosols

Biological research

Back to Top