1. Title, Journal and Authors
- Title: Laboratory measurements of remote sensing reflectance of selected phytoplankton species from the Baltic Sea
- Journal : Oceanologia
- Authors : Monika Soja-Woźniaka,b,c, Mirosław Dareckid, Bożena Wojtasiewiczae, Katarzyna Bradtkea
- Affiliation :
a: Institute of Oceanography, University of Gdańsk, Poland
b: Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
c: CSIRO Oceans & Atmosphere, Hobart, TAS, Australia
d: Institute of Oceanology Polish Academy of Sciences, Sopot, Poland
e: CSIRO Oceans & Atmosphere, Crawley, WA, Australia
- This paper presents both a methodology and results of laboratory measurements of remote sensing reflectance (Rrs) of several phytoplankton.
- The research presents the results of analyzing in terms of assessment of their characteristic features and the differences between each phytoplankton.
- The local maxima and minima in the reflectance spectrum and changes in the relative height of characteristic peaks with changes of phytoplankton concentration allowed to classify the phytoplankton (diatoms).
- This paper used hierarchical cluster analysis to develop a model to distinguish phytoplankton based on measured and calculated optical properties in laboratory.
3. Application to research
- The methodology to classify the species with remote sensing reflectance can be applied to classify the algae species.
- However, it is necessary to select an optimal cluster analysis that can sufficiently reflect the complexity of the water environment.
- Therefore, it is expected that the accuracy of classification will be improved if applying methodologies such as artificial intelligence and machine learning. In addition, a lot of data will need to be built for this.
Heewon Jeong (Ph.D. program)
Environmental Systems Engineering Lab.
School of Environmental Science & Engineering
Gwangju Institute of Science and Technology
1 Oryong-dong Buk-gu Gwangju, 500-712, Korea
Email : email@example.com