29 December 2008 Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study
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Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728552 (2008) https://doi.org/10.1117/12.815914
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
In order to improve the precision of phytoplankton chlorophyll-a (chla) concentration retrieval, this study classified the data into two groups (the high and the low) by chla concentration with the threshold of 50μg·L-1. And then build the statistical models for each group. Particularly, a modifying factor OSS/TSS was used to unmixing the spectra in the low model to improve the low relationship between spectral reflectance and chla concentrations. As a result, the concentration classification model allowed estimation of chla with a root mean square error (RMSE) of 21.12μg·L-1 and the determination coefficient (R2) was 0.92, comparing with RMSE of chla estimation was 35.72μg·L-1 and R2=0.72 in the traditional model. It shows that concentration classification is a helpful method for accurate remote chla retrieval in eutrophic inland waters.
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Cong Du, Shixin Wang, Yi Zhou, Fuli Yan, "Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728552 (29 December 2008); doi: 10.1117/12.815914; https://doi.org/10.1117/12.815914
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