Document of bibliographic reference 211162

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
A chlorophyll-retrieval algorithm for satellite imagery (Medium Resolution Imaging Spectrometer) of inland and coastal waters
Abstract
A chlorophyll (Chl) a retrieval algorithm, originally developed for spectral subsurface irradiance reflectance determined from above-water shipboard measurements, was adapted for use with satellite imagery to be acquired by the MERIS (Medium Resolution Imaging Spectrometer) instrument. This MERIS algorithm was calibrated for Chl a concentrations in the range 3-185 mg m-3 using spectral reflectance calculated from shipboard measurements on the IJssel Lagoon (The Netherlands). Next, the algorithm was validated for various inland and coastal waters covering this concentration range. Despite the lower spectral resolution of MERIS as compared to the shipboard spectroradiometer, the standard error of estimate is expected to be similar, i.e. similar to 9 mg m-3 of Chl a in mesotrophic and eutrophic lakes, rivers, estuaries and coastal waters.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000178189600010
Bibliographic citation
Gons, H.J.; Rijkeboer, M.; Ruddick, K.G. (2002). A chlorophyll-retrieval algorithm for satellite imagery (Medium Resolution Imaging Spectrometer) of inland and coastal waters. J. Plankton Res. 24(9): 947-951. dx.doi.org/10.1093/plankt/24.9.947
Is peer reviewed
true

Authors

author
author
author
Name
Kevin Ruddick
Affiliation
Koninklijk Belgisch Instituut voor Natuurwetenschappen; Operationele Directie Natuurlijk Milieu; Beheerseenheid Mathematisch Model Noordzee en Schelde-estuarium

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1093/plankt/24.9.947

Document metadata

date created
2011-12-22
date modified
2012-01-23