Multispectral Remote Sensing of Harmful Algal Blooms in Lake Champlain, USA

摘要

This study developed satellite remote sensing models for cyanobacterial blooms via chlorophylla for Lake Champlain. Landsat Enhanced Thematic Mapper Plus data was used to retrievechlorophyll a concentrations, phytoplankton and cyanobacteria biovolume by calibrating andvalidating with coincident observation data. 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 aconcentrations. The regression models accounted for 72-83% 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 ofchlorophyll a, phytoplankton, and cyanobacteria in the lake. This information can be used toevaluate the impact of pollution sources and weather conditions, and assist decision making forwater management.