Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26180
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dc.contributor.authorVilla, Paoloen_UK
dc.contributor.authorPinardi, Monicaen_UK
dc.contributor.authorToth, Victoren_UK
dc.contributor.authorHunter, Peteren_UK
dc.contributor.authorBolpagni, Rossanoen_UK
dc.contributor.authorBresciani, Marianoen_UK
dc.date.accessioned2018-04-20T01:38:59Z-
dc.date.available2018-04-20T01:38:59Z-
dc.date.issued2017en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26180-
dc.description.abstractMacrophytes are important elements of freshwater ecosystems, fulfilling a pivotal role in biogeochemical cycles. The synoptic capabilities provided by remote sensing make it a powerful tool for monitoring aquatic vegetation characteristics and the functional status of shallow lake systems in which they occur. The latest generation of airborne and spaceborne imaging sensors can be effectively exploited for mapping morphologically – and physiologically – relevant vegetation features based on their canopy spectral response. The objectives of this study were to calibrate semi-empirical models for mapping macrophyte morphological traits (i.e., fractional cover, leaf area index and above-water biomass) from hyperspectral data, and to investigate the capabilities of remote sensing in supporting macrophyte monitoring and management. We calibrated spectral models using in situ reflectance and morphological trait measures and applied them to airborne hyperspectral imaging data, acquired over two shallow European water bodies (Lake Hídvégi, in Hungary, and Mantua lakes system, in Italy) in two key phenological phases. Maps of morphological traits were produced covering a broad range of aquatic plant types (submerged, floating, and emergent), common to temperate and continental regions, with an error level of 5.4% for fractional cover, 0.10 m2 m-2 for leaf area index, and 0.06 kg m-2 for above-water biomass. Based on these maps, we discuss how remote sensing could support monitoring strategies and shallow lake management with reference to our two case studies: i.e., by providing insight into spatial and species-wise variability, by assessing nutrient uptake by aquatic plants, and by identifying hotspot areas where invasive species could become a threat to ecosystem functioning and service provision.en_UK
dc.language.isoenen_UK
dc.publisherPAGEPressen_UK
dc.relationVilla P, Pinardi M, Toth V, Hunter P, Bolpagni R & Bresciani M (2017) Remote sensing of macrophyte morphological traits: Implications for the management of shallow lakes. Journal of Limnology, 76 (S1), pp. 109-126. https://doi.org/10.4081/jlimnol.2017.1629en_UK
dc.rightsCopyright (c) 2017 Paolo Villa, Monica Pinardi, Viktor R. Tóth, Peter D. Hunter, Rossano Bolpagni, Mariano Bresciani This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_UK
dc.subjectBiomonitoringen_UK
dc.subjectfractional coveren_UK
dc.subjectLAIen_UK
dc.subjectbiomassen_UK
dc.subjectinvasive speciesen_UK
dc.subjecthyperspectral dataen_UK
dc.subjectAPEXen_UK
dc.titleRemote sensing of macrophyte morphological traits: Implications for the management of shallow lakesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.4081/jlimnol.2017.1629en_UK
dc.citation.jtitleLimnologyen_UK
dc.citation.issn1439-863Xen_UK
dc.citation.issn1439-8621en_UK
dc.citation.volume76en_UK
dc.citation.issueS1en_UK
dc.citation.spage109en_UK
dc.citation.epage126en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.citation.date07/03/2017en_UK
dc.contributor.affiliationItalian National Research Council (CNR)en_UK
dc.contributor.affiliationItalian National Research Council (CNR)en_UK
dc.contributor.affiliationHungarian Academy of Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUniversity of Parmaen_UK
dc.contributor.affiliationInstitute for the Electromagnetic Sensing of the Environmenten_UK
dc.identifier.isiWOS:000429105600012en_UK
dc.identifier.scopusid2-s2.0-85033231626en_UK
dc.identifier.wtid882846en_UK
dc.contributor.orcid0000-0001-7269-795Xen_UK
dc.date.accepted2017-03-07en_UK
dcterms.dateAccepted2017-03-07en_UK
dc.date.filedepositdate2017-11-22en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorVilla, Paolo|en_UK
local.rioxx.authorPinardi, Monica|en_UK
local.rioxx.authorToth, Victor|en_UK
local.rioxx.authorHunter, Peter|0000-0001-7269-795Xen_UK
local.rioxx.authorBolpagni, Rossano|en_UK
local.rioxx.authorBresciani, Mariano|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2017-11-22en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc/4.0/|2017-11-22|en_UK
local.rioxx.filename1629-10202-3-PB.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1439-8621en_UK
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