Document of bibliographic reference 221483

BibliographicReference record

Type
Bibliographic resource
Type of document
Book chapters
Type of document
Conference paper
BibLvlCode
AMS
Title
Detecting algae blooms in European waters
Abstract
A near real-time algal bloom detection service has been developed for European waters. Daily chlorophyll a data from Envisat/MERIS and Aqua/MODIS are compared to a predefined threshold map to determine whether an algal bloom has occurred. The design of the threshold map takes account of two factors. Firstly, over European waters regional differences in typical and extreme levels of chlorophyll a span two orders of magnitude. A concentration, e.g. 2 µg/l, that would be considered as a bloom concentration in one region could correspond to a relatively low concentration in another region. Secondly, the errors in satellite chlorophyll a can be significant in coastal waters effectively giving an artificial background level in satellite images. To account for these two factors a threshold map has been designed using satellite chlorophyll a data from a previous year, with separate threshold maps for each sensor to take account of sensor-specific bias. This threshold is defined here as the top 10% level of a previous year’s chlorophyll a data. The results of algal bloom detection in various regions are analysed in terms of bloom timing, duration and strength. Differences between the performance for the MERIS and Aqua sensors are also discussed.
Bibliographic citation
Park, Y.; Ruddick, K. (2007). Detecting algae blooms in European waters, in: Proceedings of the ‘Envisat Symposium 2007’, Montreux, Switzerland, 23–27 April 2007. ESA Special Publications, 636: pp. 6
Topic
Marine
Access rights
open access
Is accessible for free
true

Authors

author
Name
YoungJe Park
Affiliation
Koninklijk Belgisch Instituut voor Natuurwetenschappen; Operationele Directie Natuurlijk Milieu; Beheerseenheid Mathematisch Model Noordzee en Schelde-estuarium
author
Name
Kevin Ruddick
Affiliation
Koninklijk Belgisch Instituut voor Natuurwetenschappen; Departement Beheer van het Mariene Ecosysteem; Beheerseenheid Mathematisch Model Noordzee en Schelde-estuarium; Brussel

Document metadata

date created
2012-12-20
date modified
2013-01-28