Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing

Mishra, Sachidananda, 1980-; Stumpf, Richard P.; Schaeffer, Blake A.; Werdell, Jeremy P.; Loftin, Keith A.; Meredith, Andrew

doi:10.1038/s41598-019-54453-y

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing

2019
By Mishra, Sachidananda, 1980- ; Stumpf, Richard P. ; Schaeffer, Blake A. ; ...
Source: Scientific Reports 9 (18310)

[PDF-4.68 MB]

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Journal Title:

Scientific Reports
Personal Author:

Mishra, Sachidananda, 1980- ; Stumpf, Richard P. ; Schaeffer, Blake A. ; Werdell, Jeremy P. ; Loftin, Keith A. ; ... More +

Mishra, Sachidananda, 1980- ; Stumpf, Richard P. ; Schaeffer, Blake A. ; Werdell, Jeremy P. ; Loftin, Keith A. ; Meredith, Andrew Less -
NOAA Program & Office:

NOS (National Ocean Service) ; NCCOS (National Centers for Coastal Ocean Science)

NOS (National Ocean Service) ; NCCOS (National Centers for Coastal Ocean Science) Less -
Description:

Cyanobacterial harmful algal blooms (cyanoHABs) are a serious environmental, water quality and public health issue worldwide because of their ability to form dense biomass and produce toxins. Models and algorithms have been developed to detect and quantify cyanoHABs biomass using remotely sensed data but not for quantifying bloom magnitude, information that would guide water quality management decisions. We propose a method to quantify seasonal and annual cyanoHAB magnitude in lakes and reservoirs. The magnitude is the spatiotemporal mean of weekly or biweekly maximum cyanobacteria biomass for the season or year. CyanoHAB biomass is quantified using a standard reflectance spectral shape-based algorithm that uses data from Medium Resolution Imaging Spectrometer (MERIS). We demonstrate the method to quantify annual and seasonal cyanoHAB magnitude in Florida and Ohio (USA) respectively during 2003-2011 and rank the lakes based on median magnitude over the study period. The new method can be applied to Sentinel-3 Ocean Land Color Imager (OLCI) data for assessment of cyanoHABs and the change over time, even with issues such as variable data acquisition frequency or sensor calibration uncertainties between satellites. CyanoHAB magnitude can support monitoring and management decision-making for recreational and drinking water sources.
Keywords:

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Algal Blooms Mathematical Models Toxic Algae
Source:

Scientific Reports 9 (18310)
DOI:

https://doi.org/10.1038/s41598-019-54453-y
Pubmed Central ID:

PMC6892802
Document Type:

Journal Article
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CC BY
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PMC
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urn:sha256:eb9a52bb67070c1ecc6ab4d2b0feec434170583fe9df452153968c80bf322043
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https://repository.library.noaa.gov/view/noaa/24106/noaa_24106_DS1.pdf
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Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing

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