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Article
Use of Hyperspectral Remote Sensing Reflectance For Detection and Assessment of the Harmful Alga, Karenia brevis
Applied Optics
  • Susanne E. Craig, University of Southern Mississippi
  • Steven E. Lohrenz, University of Southern Mississippi
  • Zhongping Lee, Stennis Space Center
  • Kevin L. Mahoney, Stennis Space Center
  • Gary J. Kirkpatrick, Mote Marine Laboratory
  • Oscar M. Schofield, Rutgers University
  • Robert G. Steward, Florida Environmental Research Institute
Document Type
Article
Publication Date
7-20-2006
Abstract
We applied two numerical methods to in situ hyperspectral measurements of remote sensing reflectance R-rs to assess the feasibility of remote detection and monitoring of the toxic dinoflagellate, Karenia brevis, which has been shown to exhibit unique absorption properties. First, an existing quasi-analytical algorithm was used to invert remote sensing reflectance spectra, R-rs(lambda), to derive phytoplankton absorption spectra, alpha(Rrs)(phi)(lambda). Second, the fourth derivatives of the a alpha(Rrs)(phi)(lambda) spectra were compared to the fourth derivative of a reference K. brevis absorption spectrum by means of a similarity index (SI) analysis. Comparison of reflectance-derived a. with filter pad measured a, found them to agree well (R-2 = 0.891; average percentage difference, 22.8%). A strong correlation (R-2 = 0.743) between surface cell concentration and the SI was observed, showing the potential utility of SI magnitude as an indicator of bloom strength. A sensitivity analysis conducted to investigate the effects of varying levels of cell concentrations and colored dissolved organic matter (CDOM) on the efficacy of the quasi-analytical algorithm and SI found that alpha(Rrs)(phi)(lambda) could not be derived for very low cell concentrations and that, although it is possible to derive aR"(X) in the presence of high CDOM concentrations, CDOM levels influence the alpha(Rrs)(phi)(lambda) amplitude and shape. Results suggest that detection and mapping of K. brevis blooms based on hyperspectral measurements of R-rs are feasible.
Citation Information
Susanne E. Craig, Steven E. Lohrenz, Zhongping Lee, Kevin L. Mahoney, et al.. "Use of Hyperspectral Remote Sensing Reflectance For Detection and Assessment of the Harmful Alga, Karenia brevis" Applied Optics Vol. 45 Iss. 21 (2006) p. 5414 - 5425
Available at: http://works.bepress.com/zhongping_lee/9/