A simple, binary classification algorithm for the detection of Trichodesmium spp. within the Great Barrier Reef using MODIS imagery

A binary classification algorithm to detect the presence of high surface concentrations of the nitrogen‐fixing cyanobacterium Trichodesmium spp. was developed for high spatial resolution (250 m) imagery of the Moderate‐resolution Imaging Spectroradiometer (MODIS). Above‐water hyperspectral radiometr...

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Published in:Limnology and oceanography, methods methods, 2011-02, Vol.9 (2), p.50-66
Main Authors: McKinna, Lachlan I.W., Furnas, Miles J., Ridd, Peter V.
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Cyanobacteria
Marine
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Furnas, Miles J.
Ridd, Peter V.
description A binary classification algorithm to detect the presence of high surface concentrations of the nitrogen‐fixing cyanobacterium Trichodesmium spp. was developed for high spatial resolution (250 m) imagery of the Moderate‐resolution Imaging Spectroradiometer (MODIS). Above‐water hyperspectral radiometric measurements of dense Trichodesmium surface aggregations (>10 µg/L Chlorophyll a) showed that the water‐leaving radiance Lw at wavelengths greater than 700 nm were much higher in magnitude (>0.05 W m−2sr−1) relative to the visible wavelengths 400–700 nm (
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title A simple, binary classification algorithm for the detection of Trichodesmium spp. within the Great Barrier Reef using MODIS imagery
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