A two step approach was developed to estimate POC concentrations in a shallow eutrophic lake, where dissolved carbon and inorganic particulate matter strongly influence optical properties. The approach was based on the identification of a co-variability of POC concentrations with one or more inherent optical properties (IOPs). In the present case, a relationship between POC and absorption at 620nm was identified and was combined with a reflectance based algorithm for case II waters. Compared with other published POC algorithms, this approach provided better estimates over a wide range of POC concentrations in two hypereutrophic lake waters with the predominance of cyanobacteria (R<sup>2</sup>>0.80). While it is unlikely that a single POC algorithm can be created that is independent of the variability of POC sources, this approach allows for a common method to identify appropriate algorithms with which POC dynamics can be explored.
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|Titolo:||Remote sensing of particulate organic carbon dynamics in a eutrophic lake (Taihu Lake, China)|
|Rivista:||SCIENCE OF THE TOTAL ENVIRONMENT|
|Citazione:||Jiang, G., Ma, R., Loiselle, S.A., Duan, H., Su, W., Cai, W., et al. (2015). Remote sensing of particulate organic carbon dynamics in a eutrophic lake (Taihu Lake, China). SCIENCE OF THE TOTAL ENVIRONMENT, 532, 245-254.|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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