Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/38457
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dc.contributor.authorFlower, Verityen_UK
dc.contributor.authorJiang, Dalinen_UK
dc.contributor.authorSpyrakos, Evangelosen_UK
dc.date.accessioned2026-11-11T01:06:56Z-
dc.date.available2026-11-11T01:06:56Z-
dc.date.issued2026-12-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/38457-
dc.description.abstractSatellite-derived observations of inland waters are widely used in environmental monitoring, often forming the basis of long-term analyses in the absence of continuous in situ measurements. However, the influence of transient atmospheric phenomena, such as volcanic plumes, on these datasets remains insufficiently quantified. We investigate the impact of volcanic plumes generated during the 2011-2012 eruption of Puyehue-Cordón Caulle, on the availability of remotely observed lake data (lake surface water temperature [LSWT], turbidity and chlorophyll-a) compiled from the ESA Climate Change Initiative (CCI) Lakes dataset. We subsequently extend the assessment of LSWT observations, combining these with coincident plume observations from the Multi-angle Imaging SpectroRadiometer (MISR) and the Moderate Resolution Imaging Spectroradiometer (MODIS), to identify the impacts of diffuse volcanic plumes on remote lake observations. Linear mixed-effects models assessed plume effects, while accounting for lake-specific variability during plume events. These findings indicate that while existing cloud masking removes LSWT observations in the presence of dense ash-rich plumes, diffuse volcanic plumes frequently remain undetected while significantly impacting LSWT records. Plume impacts varied seasonally, with LSWT observations being lower in winter months, and warmer in summer. At the pixel scale, plume interference was associated with LSWT8 reductions of up to 12°C beneath dense ash-plumes, and 1-5°C beneath diffuse plumes. Geographic conditions influenced overall data availability, with measurable effects extending to ~270 km from the volcanic source. A random forest classification achieved an overall accuracy of 78% classification accuracy for distinguishing plumes from cloud and background regions, demonstrating the potential to develop an automated flag for CCI Lake data. These findings demonstrate that diffuse volcanic plumes can introduce substantial uncertainty into satellite-derived LSWT observations, although the magnitude and spatial extent of the observed effects are case-specific. This highlights the need for further investigation across diverse volcanic events and geographical settings to support the development of dedicated quality flags for diffuse and transient aerosol features.en_UK
dc.language.isoenen_UK
dc.publisherInforma UK Limiteden_UK
dc.relationFlower V, Jiang D & Spyrakos E (2026) Revealing the influence of volcanic plumes on lake water quality parameters derived using remote sensing methods. <i>GIScience & Remote Sensing</i>, 63 (1). https://doi.org/10.1080/15481603.2026.2754658en_UK
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectRandom forest modelen_UK
dc.subjectlinear mixed effect modelen_UK
dc.subjecttransient atmospheric interferenceen_UK
dc.subjectvolcanic plumesen_UK
dc.subjectremote water quality observationsen_UK
dc.titleRevealing the influence of volcanic plumes on lake water quality parameters derived using remote sensing methodsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1080/15481603.2026.2754658en_UK
dc.citation.jtitleGIScience and Remote Sensingen_UK
dc.citation.issn1943-7226en_UK
dc.citation.issn1548-1603en_UK
dc.citation.volume63en_UK
dc.citation.issue1en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNational Aeronautics and Space Administrationen_UK
dc.contributor.funderEuropean Space Agencyen_UK
dc.author.emailverity.flower@stir.ac.uken_UK
dc.citation.date03/11/2026en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.wtid2312658en_UK
dc.contributor.orcid0000-0002-4466-9625en_UK
dc.contributor.orcid0000-0001-5676-5860en_UK
dc.date.accepted2026-10-21en_UK
dcterms.dateAccepted2026-10-21en_UK
dc.date.filedepositdate2026-11-06en_UK
dc.relation.funderprojectLakes_cci CCN: Baseline improvements for CRDP v3.0en_UK
dc.relation.funderrefCLS-SPA-BC-18-00069en_UK
rioxxterms.apcnot chargeden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorFlower, Verity|0000-0002-4466-9625en_UK
local.rioxx.authorJiang, Dalin|0000-0001-5676-5860en_UK
local.rioxx.authorSpyrakos, Evangelos|en_UK
local.rioxx.projectCLS-SPA-BC-18-00069|European Space Agency|http://dx.doi.org/10.13039/501100000844en_UK
local.rioxx.freetoreaddate2026-11-10en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2026-11-10|en_UK
local.rioxx.filenameRevealing the influence of volcanic plumes on lake water quality parameters derived using remote sensing methods.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1943-7226en_UK
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