LINDA MARTIN TRAYKOVSKI
Post-Doctoral Investigator
Biology Department, MS 32
Woods Hole Oceanographic Institution
Woods Hole, MA  02543-1049
(508) 289-2750
lmartin@whoi.edu

RESEARCH INTERESTS
 
Linda V. Martin Traykovski received her Ph.D. from the Massachusetts Institute of Technology / Woods Hole Oceanographic Institution Joint Program in Oceanography and Applied Ocean Sciences and Engineering in February 1998 (click here for Biographical Sketch). The title of her thesis was Acoustic Classification of Zooplankton. In her thesis work, she developed both feature based and model based techniques to classify zooplankton from three distinct scattering classes based on their characteristic broadband acoustic signatures (click here for Thesis Summary). She recently joined this lab as a Postdoctoral Investigator, and is expanding her classification techniques to develop optical water type classification approaches based on satellite remotely-sensed water leaving radiance, for application to the study of spatial and temporal dynamics of ecologically and biogeochemically important properties of the upper ocean. She presented some preliminary results at the Ocean Optics XIV Conference (click here for Optical Classification of Water Types - Preliminary Results).

Her initial work will focus on the development of viable methods to classify water types from limited spectral resolution (e.g., SeaWiFS) and hyperspectral (e.g., COIS) remotely sensed ocean colour data. She will explore the utility of both model based and feature based classification approaches, focusing on the development of a hybrid technique which can incorporate both data-based features and model-inverted parameters into the classification.  Once basic methods for classifying water type have been established, the focus will be on interpreting the significance of the results for understanding ecological processes. The classification approaches will be refined and adapted specifically for investigating spatial and temporal variability in the Georges Bank / Gulf of Maine area of the northwest Atlantic.  This will be accomplished in the context of extensive ecological and hydrographic work in progress as part of the GLOBEC Georges Bank program, as well as this labís current research examining in situ optical variability in this region. After developing a viable optical classification scheme for the northwest Atlantic, focus will shift to interpreting the underlying properties which define the classes, and to examining the spatial and temporal variability in water types which can be optically discriminated. Another potential application of these spectral and hyperspectral classification techniques will involve adapting these approaches to the taxonomic classification of phytoplankton blooms occurring in various regions around the globe. This aspect of the work will deal with the subset of water types where the dominant source of variability is a single group of phytoplankton. To achieve this, it will be necessary to compile sea-truth information on bloom occurrences from all available sources. Concurrent ocean colour data will be analysed for the development of comprehensive classification methods to simultaneously delineate several bloom taxa, with the ultimate goal of facilitating the study of these ecologically significant events in the upper ocean.

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