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Multispectral remote sensing of harmful algal blooms in Lake Champlain, USA

TitleMultispectral remote sensing of harmful algal blooms in Lake Champlain, USA
Publication TypeJournal Article
Year of Publication2014
AuthorsIsenstein EM, Trescott A, Park M-H
JournalWater Environment Research
Volume86
Issue12
Start Page2271
Pagination2271-2278
Date Published12/2014
Keywordschlorophyll a, cyanobacterial bloom, satellite remote sensing
Abstract

This study developed satellite remote sensing models to detect cyanobacterial blooms via chlorophyll a in Lake Champlain. Landsat Enhanced Thematic Mapper Plus data was used to retrieve chlorophyll a concentrations, phytoplankton, and cyanobacteria biovolume by calibrating and validating with coincident observation data. Correlation analysis results showed that band 2 (green band) and the band ratio of 2/1 (green/blue) were most highly correlated to chlorophyll a concentration (r = 0.76 and 0.82, respectively). Multiple regression results identified band 2 and 3 (red), and band ratio of 2/1 and 3/1 (red/blue) as critical information to estimate chlorophyll a concentrations. The regression models accounted for 72 to 83% of the variability in chlorophyll aobservations, allowing for estimates of phytoplankton and cyanobacteria levels in the lake. Satellite image processing results successfully showed the temporal and spatial distribution of chlorophyll a, phytoplankton, and cyanobacteria in the lake. This information can be used to evaluate the effect of pollution sources and weather conditions, and assist decision making for water management.

DOI10.2175/106143014X13975035526149