Advances in Remote Sensing of Great Lakes Algal Blooms

2020 ◽  
pp. 217-232
Author(s):  
Caren E. Binding ◽  
Richard P. Stumpf ◽  
Robert A. Shuchman ◽  
Michael J. Sayers
Keyword(s):  
Remote Sensing ◽  
Great Lakes ◽  
Algal Blooms

scholarly journals Determining remote sensing spatial resolution requirements for the monitoring of harmful algal blooms in the Great Lakes

2019 ◽  
Vol 45 (3) ◽  
pp. 434-443 ◽  
Author(s):  
John Lekki ◽  
Eric Deutsch ◽  
Mike Sayers ◽  
Karl Bosse ◽  
Robert Anderson ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Great Lakes ◽  
Spatial Resolution ◽  
Harmful Algal Blooms ◽  
Algal Blooms ◽  
Resolution Requirements

scholarly journals Earth observation for monitoring and mapping of cyanobacteria blooms. Case studies on five Italian lakes

2016 ◽  
Vol 76 (s1) ◽  
Author(s):  
Mariano Bresciani ◽  
Claudia Giardino ◽  
Rosaria Lauceri ◽  
Erica Matta ◽  
Ilaria Cazzaniga ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Algal Blooms ◽  
Remote Sensing Data ◽  
Late Summer ◽  
Eutrophic Lake ◽  
Cyanobacterial Blooms ◽  
Landsat 8 ◽  
Negative Effects ◽  
Eutrophic Lakes ◽  
Chl A

Cyanobacterial blooms occur in many parts of the world as a result of entirely natural causes or human activity. Due to their negative effects on water resources, efforts are made to monitor cyanobacteria dynamics. This study discusses the contribution of remote sensing methods for mapping cyanobacterial blooms in lakes in northern Italy. Semi-empirical approaches were used to flag scum and cyanobacteria and spectral inversion of bio-optical models was adopted to retrieve chlorophyll-a (Chl-a) concentrations. Landsat-8 OLI data provided us both the spatial distribution of Chl-a concentrations in a small eutrophic lake and the patchy distribution of scum in Lake Como. ENVISAT MERIS time series collected from 2003 to 2011 enabled the identification of dates when cyanobacterial blooms affected water quality in three small meso-eutrophic lakes in the same region. On average, algal blooms occurred in the three lakes for about 5 days a year, typically in late summer and early autumn. A suite of hyperspectral sensors on air- and space-borne platforms was used to map Chl-a concentrations in the productive waters of the Mantua lakes, finding values in the range of 20 to 100 mgm-3. The present findings were obtained by applying state of the art of methods applied to remote sensing data. Further research will focus on improving the accuracy of cyanobacteria mapping and adapting the algorithms to the new-generation of satellite sensors.

Airborne hyperspectral and satellite imaging of harmful algal blooms in the Great Lakes Region: Successes in sensing algal blooms

2019 ◽  
Vol 45 (3) ◽  
pp. 405-412 ◽  
Author(s):  
John Lekki ◽  
Steve Ruberg ◽  
Caren Binding ◽  
Robert Anderson ◽  
Andrea Vander Woude
Keyword(s):  
Great Lakes ◽  
Harmful Algal Blooms ◽  
Algal Blooms ◽  
Great Lakes Region ◽  
Satellite Imaging

Aerosol Emissions from Great Lakes Harmful Algal Blooms

2017 ◽  
Vol 52 (2) ◽  
pp. 397-405 ◽  
Author(s):  
Nathaniel W. May ◽  
Nicole E. Olson ◽  
Mark Panas ◽  
Jessica L. Axson ◽  
Peter S. Tirella ◽  
...  
Keyword(s):  
Great Lakes ◽  
Harmful Algal Blooms ◽  
Algal Blooms ◽  
Aerosol Emissions
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