A soft-classification-based chlorophyll-estimation method using MERIS data in the highly turbid and eutrophic Taihu Lake
Abstract: Highlights•Developed a soft-classification-based chlorophyll-a estimation method by MERIS data.•Calibrated and validated this method in a highly turbid, eutrophic Taihu Lake.•Got smoothed estimated chlorophyll-a map around class boundaries.•Analyzed seasonal and annual chlorophyll-a variations between 2003–2011.
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