Abstract
We present and discuss here the results of our work using MODIS (moderateresolution imaging spectroradiometer) and MERIS (medium resolution imagingspectrometer) satellite data to estimate the concentration of chlorophyll-a (chl-a) in reservoirs of the Dnieper River and the Sea of Azov, which are typical caseII waters, i.e., turbid and productive. Our objective was to test the potentialof satellite remote sensing as a tool for near-real-time monitoring of chl-a distribution in these water bodies. We tested the performance of a recentlydeveloped three-band model, and its special case, a two-band model, which usethe reflectance at red and near-infrared wavelengths for the retrieval of chl-a concentration. The higher spatial resolution and the availability of a spectralband at around 708 nm with the MERIS data offered great promise for thesemodels. We compared results from several different atmospheric correctionprocedures available for MODIS and MERIS data. No one particular procedure wasconsistently and systematically better than the rest. Nevertheless, even in theabsence of a perfect atmospheric correction procedure, both the three-band andthe two-band models showed promising results when compared with in situ chl-a measurements. The challenges and limitations involved in satellite remote monitoring of the chl-a distribution in turbid productive waters are discussed.
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