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Multispectral Remote Sensing of Harmful Algal Blooms in Lake Champlain, USA
Author(s) -
Isenstein Elizabeth M.,
Trescott Adam,
Park MiHyun
Publication year - 2014
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.2175/106143014x13975035526149
Subject(s) - phytoplankton , environmental science , chlorophyll a , thematic mapper , algal bloom , cyanobacteria , multispectral image , remote sensing , chlorophyll , satellite , satellite imagery , oceanography , ecology , geology , biology , nutrient , botany , physics , paleontology , astronomy , bacteria
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 a observations, 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.