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A Semianalytical Model Using MODIS Data to Estimate Cell Density of Red Tide Algae (Aureococcus anophagefferens)
Joint Authors
Jiang, Lingling
Wang, Lin
Chen, Yanlong
Xiong, Deqi
Zhang, Xin Yu
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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, b b(λ), obtained from in situ measurements.
There was a strong relationship between b b(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.
American Psychological Association (APA)
Jiang, Lingling& Wang, Lin& Zhang, Xin Yu& Chen, Yanlong& Xiong, Deqi. 2015. A Semianalytical Model Using MODIS Data to Estimate Cell Density of Red Tide Algae (Aureococcus anophagefferens). Advances in Meteorology،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095358
Modern Language Association (MLA)
Jiang, Lingling…[et al.]. A Semianalytical Model Using MODIS Data to Estimate Cell Density of Red Tide Algae (Aureococcus anophagefferens). Advances in Meteorology No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1095358
American Medical Association (AMA)
Jiang, Lingling& Wang, Lin& Zhang, Xin Yu& Chen, Yanlong& Xiong, Deqi. A Semianalytical Model Using MODIS Data to Estimate Cell Density of Red Tide Algae (Aureococcus anophagefferens). Advances in Meteorology. 2015. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095358
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095358