Journal
ALGORITHMS
Volume 2, Issue 1, Pages 470-497Publisher
MDPI AG
DOI: 10.3390/a2010470
Keywords
satellite remote sensing; water quality; operational algorithm
Funding
- European Commission
- INTAS
- ESA GMES under the projects INCO-COPERNICUS
- FINGULF
- MACRO
- MARCOAST
- EU-Marcoast project
- Norwegian Space Centre SatOcean project
- Validation of MERIS data Products-VAMP project - ESA
- NIVA (PRODEX) [14849/00/NL/Sfe(IC)]
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An advanced operational semi-empirical algorithm for processing satellite remote sensing data in the visible region is described. Based on the Levenberg-Marquardt multivariate optimization procedure, the algorithm is developed for retrieving major water colour producing agents: chlorophyll-a, suspended minerals and dissolved organics. Two assurance units incorporated by the algorithm are intended to flag pixels with inaccurate atmospheric correction and specific hydro-optical properties not covered by the applied hydro-optical model. The hydro-optical model is a set of spectral cross-sections of absorption and backscattering of the colour producing agents. The combination of the optimization procedure and a replaceable hydro-optical model makes the developed algorithm not specific to a particular satellite sensor or a water body. The algorithm performance efficiency is amply illustrated for SeaWiFS, MODIS and MERIS images over a variety of water bodies.
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