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 (R2>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.

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 [10.1016/j.scitotenv.2015.05.120].

Remote sensing of particulate organic carbon dynamics in a eutrophic lake (Taihu Lake, China)

LOISELLE, STEVEN ARTHUR;
2015-01-01

Abstract

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 (R2>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.
2015
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 [10.1016/j.scitotenv.2015.05.120].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1007609
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