研究目的
To study the in-situ optical properties of living macroalgae, seagrasses, and rubble to develop a spectral library for distinguishing among seagrass species and algae groups (green, red, and brown benthic macroalgae) and to estimate and detect the distribution and seasonal variation of SAV on a broader scale.
研究成果
The study documented the spectral features of SAV and their associated habitats in Shoalwater Islands Marine Park, Western Australia, and developed a spectral library to distinguish among seagrass species and algae groups (green, red, and brown benthic macroalgae). The implications of this study will contribute to estimate and detect the distribution and seasonal variation of SAV on a broader scale.
研究不足
The collection of SAV samples and their spectral reflectance, with measurements of the optical properties of water in the field are time and labor-intensive and may also be affected by weather conditions. The problem with this analysis is based on the hyperspectral measurements at 1 nm. While, multispectral satellite sensors such as WorldView-2 (WV-2) and Landsat are only few wavebands which will not capture those reflection peaks. The other issue is that there is an impeding water column between the benthos and the sensor.
1：Experimental Design and Method Selection:
The study involved measuring the spectral characteristics of varied SAV groups using the high resolution FieldSpec? 4 Hi-Res portable spectroradiometer. Correlation and Principle Component Analysis were employed to evaluate the differences between SAV groups.
2：Sample Selection and Data Sources:
Twenty-two submerged coastal aquatic plants species that included red, green, brown macroalgae, and seagrasses were collected from Cape Peron, Western Australia.
3：List of Experimental Equipment and Materials:
FieldSpec? 4 Hi-Res portable spectroradiometer, white spectralon plate.
4：Experimental Procedures and Operational Workflow:
Spectral reflectance profiles were measured at the outdoor experiment facility of the Physics Department, Curtin University, Australia, under clear sky conditions between 10:00 am and 2:00 pm local hours.
5：Data Analysis Methods:
The spectral data were transferred into the statistic package to analysis. Correlation and spectral clustering were employed to evaluate the differences between SAV groups. One-way ANOVA was used to determine any significant different SAV pair at each wavelength band. Principle Component Analysis (PCA) technique was done with IBM-SPSS 20 factor analysis.
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