Huang, Changchun; Yang, Hao; Zhu, A-Xing; Zhang, Mingli; Lu, Heng; Huang, Tao; Zou, Jun; Li, Yunmei (2015). Evaluation of the Geostationary Ocean Color Imager (GOCI) to monitor the dynamic characteristics of suspension sediment in Taihu Lake. INTERNATIONAL JOURNAL OF REMOTE SENSING, 36(15), 3859-3874.

Abstract
To accurately observe the dynamic concentration of total suspended matter (C-TSM) by geostationary satellite, Geostationary Ocean Color Imager (GOCI), a new, regionally empirical combination algorithm, was developed based on the in situ measurement of water properties. Also, the ability of GOCI (with a 1 h temporal resolution) to capture dynamic change in C-TSM was evaluated using in situ buoy-measured data. The validation results indicate that the combination algorithm (combination of two- and three-band ratio algorithms) can achieve acceptable retrieval results for C-TSM, with 34.52% root mean square error percentage (RMSP) for validation data and 45.01% RMSP for GOCI match-up points. The depth of reflectance valley at 680 nm (R-rs-depth,R-680) is considered as an index for deciding whether to utilize a two- (R-rs-depth,R-680 <= 0.005) or three-band (R-rs-depth,R-680 > 0.005) algorithm in the combination algorithm. This combination algorithm overcomes some shortcomings of two- and three-band ratio algorithms of C-TSM in turbid productive water. The results show that sediment resuspension will significantly change the optical properties of water and decrease the universality of the C-TSM retrieval algorithm in the presence of a large area of algae. The influence of sediment resuspension on the C-TSM retrieval algorithm is significant in the central lake but less so in the other four lakes studied due to lake morphology and algal biomass.

DOI:
10.1080/01431161.2015.1070323

ISSN:
0143-1161