Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHunter, Peteren_UK
dc.contributor.authorTyler, Andrewen_UK
dc.contributor.authorPresing, Matyasen_UK
dc.contributor.authorKovacs, Attila Wen_UK
dc.contributor.authorPreston, Tomen_UK
dc.description.abstractRemote sensing has been used extensively to provide quantitative information on the distribution of phytoplankton in inland waters through the surrogate mapping of chlorophyll a, but as chlorophyll a is common to almost all species of phytoplankton it cannot provide any information on the taxonomic composition of phytoplankton communities. However, the varied optical properties of phytoplankton taxa may present a means to their discrimination via remote sensing data. This paper presents the results of an experimental study in which the spectral dissimilarities of brown, green, blue-green and red algae were examined with a view to establishing a basis upon which broad changes in phytoplankton communities might be monitored through remote sensing. Pseudo phytoplankton communities were simulated in a series of mesocosm experiments from which spectral reflectance measurements were acquired. The results demonstrated that the phytoplankton colour groups examined were indeed spectrally dissimilar. The spectral distinction between colour groups was noted to be greatest at high concentrations of chlorophyll a and between pseudo-communities dominated by a single species; spectral differences were lower in mixed pseudo-communities with co-dominant species. Moreover, it proved possible to quantify the concentration of two potential biomarker pigments, fucoxanthin and C-phycocyanin, through the derivation of simple spectral indices. The coincidental presence of varying concentrations of SPM (SPIM and SPOM) caused significant attenuation of the spectral response of the pseudo-communities and affected the accuracy of biomarker pigment estimation. It is considered that the realisation of a remote sensing technique for the discrimination of phytoplankton taxa in inland waters would be an extremely useful tool for limnological research and water resource management and thus the future application of this research to inland waters is also discussed.en_UK
dc.relationHunter P, Tyler A, Presing M, Kovacs AW & Preston T (2008) Spectral discrimination of phytoplankton colour groups: The effect of suspended particulate matter and sensor spectral resolution. Remote Sensing of Environment, 112 (4), pp. 1527-1544.
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.subjectRemote sensingen_UK
dc.titleSpectral discrimination of phytoplankton colour groups: The effect of suspended particulate matter and sensor spectral resolutionen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[Remote Sensing of Environment 2008.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.citation.jtitleRemote Sensing of Environmenten_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationHungarian Academy of Sciencesen_UK
dc.contributor.affiliationHungarian Academy of Sciencesen_UK
dc.contributor.affiliationScottish Universities Environmental Research Centreen_UK
rioxxterms.typeJournal Article/Reviewen_UK
local.rioxx.authorHunter, Peter|0000-0001-7269-795Xen_UK
local.rioxx.authorTyler, Andrew|0000-0003-0604-5827en_UK
local.rioxx.authorPresing, Matyas|en_UK
local.rioxx.authorKovacs, Attila W|en_UK
local.rioxx.authorPreston, Tom|en_UK
local.rioxx.projectInternal Project|University of Stirling|
local.rioxx.filenameRemote Sensing of Environment 2008.pdfen_UK
Appears in Collections:Biological and Environmental Sciences Journal Articles

Files in This Item:
File Description SizeFormat 
Remote Sensing of Environment 2008.pdfFulltext - Published Version1.99 MBAdobe PDFUnder Permanent Embargo    Request a copy

This item is protected by original copyright

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.