An adaptive approach to detect high biomass algal blooms from EO chlorophyll-a data in support of harmful algal bloom monitoring

Jamie Shutler; Keith Davidson; Peter Miller; Sarah Swan; MG Grant; Eileen Bresnan

doi:10.1080/01431161.2010.538089

An adaptive approach to detect high biomass algal blooms from EO chlorophyll-a data in support of harmful algal bloom monitoring

Jamie Shutler
, Keith Davidson
, Peter Miller
, Sarah Swan
, MG Grant
, Eileen Bresnan

SAMS UHI

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

Original language	English
Pages (from-to)	101-110
Number of pages	10
Journal	Remote Sensing Letters
Issue number	3
DOIs	https://doi.org/10.1080/01431161.2010.538089
Publication status	Published - 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

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10.1080/01431161.2010.538089

Cite this

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title = "An adaptive approach to detect high biomass algal blooms from EO chlorophyll-a data in support of harmful algal bloom monitoring",

author = "Jamie Shutler and Keith Davidson and Peter Miller and Sarah Swan and MG Grant and Eileen Bresnan",

note = "Description 3* (NOTE jounral is now ISI listed) - new remote sending method for HAB monitorng - is being used operationally in industry funded project ",

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AU - Shutler, Jamie

AU - Davidson, Keith

AU - Miller, Peter

AU - Swan, Sarah

AU - Grant, MG

AU - Bresnan, Eileen

N1 - Description 3* (NOTE jounral is now ISI listed) - new remote sending method for HAB monitorng - is being used operationally in industry funded project

PY - 2012

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U2 - 10.1080/01431161.2010.538089

DO - 10.1080/01431161.2010.538089

M3 - Article

SN - 2150-7058

SP - 101

EP - 110

JO - Remote Sensing Letters

JF - Remote Sensing Letters

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