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Advances in Meteorology
Volume 2016 (2016), Article ID 1780986, 12 pages
http://dx.doi.org/10.1155/2016/1780986
Research Article

A Semianalytical Model Using MODIS Data to Estimate Cell Density of Red Tide Algae (Aureococcus anophagefferens)

1College of Environmental Science and Engineering, Dalian Maritime University, No. 1 Linghai Road, Dalian 116026, China
2National Marine Environmental Monitoring Center, No. 42 Linghe Road, Dalian 116023, China
3Navigation College, Dalian Maritime University, No. 1 Linghai Road, Dalian 116026, China

Received 21 April 2015; Accepted 8 July 2015

Academic Editor: Xiaofeng Li

Copyright © 2016 Lingling Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A multiband and a single-band semianalytical model were developed to predict algae cell density distribution. The models were based on cell density (N) dependent parameterizations of the spectral backscattering coefficients, bb(λ), obtained from in situ measurements. There was a strong relationship between bb(λ) and N, with a minimum regression coefficient of 0.97 at 488 nm and a maximum value of 0.98 at other bands. The cell density calculated by the multiband inversion model was similar to the field measurements of the coastal waters (the average relative error was only 8.9%), but it could not accurately discern the red tide from mixed pixels, and this led to overestimation of the area affected by the red tide. While the single-band inversion model is less precise than the former model in the high chlorophyll water, it could eliminate the impact of the suspended sediments and make more accurate estimates of the red tide area. We concluded that the two models both have advantages and disadvantages; these methods lay the foundation for developing a remote sensing forecasting system for red tides.