A Multiscale Mapping Assessment of Lake Champlain Cyanobacterial Harmful Algal Blooms

Authors

Nathan Torbick, Dartmouth College
Megan Corbiere, Applied Geosolutions
Yu-Pin Lin

Document Type

Article

Publication Date

9-15-2015

Publication Title

International Journal of Environmental Research and Public Health

Abstract

Lake Champlain has bays undergoing chronic cyanobacterial harmful algal blooms that pose a public health threat. Monitoring and assessment tools need to be developed to support risk decision making and to gain a thorough understanding of bloom scales and intensities. In this research application, Landsat 8 Operational Land Imager (OLI), Rapid Eye, and Proba Compact High Resolution Imaging Spectrometer (CHRIS) images were obtained while a corresponding field campaign collected in situ measurements of water quality. Models including empirical band ratio regressions were applied to map chlorophylla and phycocyanin concentrations; all sensors performed well with R² and root-mean-square error (RMSE) ranging from 0.76 to 0.88 and 0.42 to 1.51, respectively. The outcomes showed spatial patterns across the lake with problematic bays having phycocyanin concentrations >25 μg/L. An alert status metric tuned to the current monitoring protocol was generated using modeled water quality to illustrate how the remote sensing tools can inform a public health monitoring system. Among the sensors utilized in this study, Landsat 8 OLI holds the most promise for providing exposure information across a wide area given the resolutions, systematic observation strategy and free cost.

DOI

10.3390/ijerph120911560

Dartmouth Digital Commons Citation

Torbick, Nathan; Corbiere, Megan; and Lin, Yu-Pin, "A Multiscale Mapping Assessment of Lake Champlain Cyanobacterial Harmful Algal Blooms" (2015). Dartmouth Scholarship. 1011.
https://digitalcommons.dartmouth.edu/facoa/1011