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Monitoring recent changes of vegetation in Fildes Peninsula (King George Island, Antarctica) through satellite imagery guided by UAV surveys

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dc.contributor.authorMiranda, Vasco
dc.contributor.authorPina, Pedro
dc.contributor.authorHeleno, Sandra
dc.contributor.authorVieira, Gonçalo
dc.contributor.authorMora, Carla
dc.contributor.authorE.G.R. Schaefer, Carlos
dc.date.accessioned2020-04-01T15:50:10Z
dc.date.available2020-04-01T15:50:10Z
dc.date.issued2020
dc.description.abstractMapping accurately vegetation surfaces in space and time in the ice-free areas of Antarctica can provide important information to quantitatively describe the evolution of their ecosystems. Spaceborne remote sensing is the adequate way to map and evaluate multitemporal changes on the Antarctic vegetation at large but its nature of occurrence, in relatively small and sparse patches, makes the identification very challenging. The inclusion of an intermediate scale of observation between ground and satellite scales, provided by Unmanned Aerial Vehicles (UAV) imagery, is of great help not only for their effective classification, but also for discriminating their main communities (lichens and mosses). Thus, this paper quantifies accurately recent changes of the vegetated areas in Fildes Peninsula (King George Island, Antarctica) through a novel methodology based on the integration of multiplatform data (satellite and UAV). It consists of multiscale imagery (spatial resolution of 2 m and 2 cm) from the same period to create a robust classifier that, after intensive calibration, is adequately used in other dates, where field reference data is scarce or not available at all. The methodology is developed and tested with UAV and satellite data from 2017 showing overall accuracies of 96% and kappa equal to 0.94 with a SVM classifier. These high performances allow the extrapolation to a pair of previous dates, 2006 and 2013, when atmospherically clear very high-resolution satellite imagery are available. The classification allows verifying a loss of the total area of vegetation of 4.5% during the 11-year time period under analysis, which corresponds to a 10.3% reduction for Usnea sp. and 9.8% for moss formations. Nevertheless, the breakdown analysis by time period shows a distinct behaviour for each vegetation type which are evaluated and discussed, namely for Usnea sp. whose decline is likely to be related to changing snow conditions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMiranda, V., Pina, P., Heleno, S., Vieira, G., Mora, C., & E.G.R. Schaefer, C. (2020). Monitoring recent changes of vegetation in fildes peninsula (king george island, antarctica) through satellite imagery guided by UAV surveys. Science of the Total Environment, 704, 135295. https://doi.org/10.1016/j.scitotenv.2019.135295pt_PT
dc.identifier.doi10.1016/j.scitotenv.2019.135295pt_PT
dc.identifier.eissn1879-1026
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10451/42667
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationPortuguese Polar Program (PROPOLAR) through research campaign project CIRCLAR in 2016-2017pt_PT
dc.relationCenter for Natural Resources and Environment
dc.relationCentre of Geographical Studies - University of Lisbon
dc.subjectAntarctic Regionspt_PT
dc.subjectBryophytapt_PT
dc.subjectEcosystempt_PT
dc.subjectEnvironmental Monitoringpt_PT
dc.subjectIslandspt_PT
dc.subjectLichenspt_PT
dc.subjectSnowpt_PT
dc.subjectSatellite Imagerypt_PT
dc.titleMonitoring recent changes of vegetation in Fildes Peninsula (King George Island, Antarctica) through satellite imagery guided by UAV surveyspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUID/ECI/04028/2019
oaire.awardNumberUID/GEO/00295/2019
oaire.awardTitleCenter for Natural Resources and Environment
oaire.awardTitleCentre of Geographical Studies - University of Lisbon
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECI%2F04028%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FGEO%2F00295%2F2019/PT
oaire.citation.startPage135295pt_PT
oaire.citation.titleScience of The Total Environmentpt_PT
oaire.citation.volume704pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBrito Guapo Teles Vieira
person.familyNameMora
person.givenNameGonçalo
person.givenNameCarla
person.identifierG-5958-2010
person.identifier.ciencia-id2519-6583-CAEA
person.identifier.ciencia-id0612-E2F4-590C
person.identifier.orcid0000-0001-7611-3464
person.identifier.orcid0000-0002-0843-3658
person.identifier.ridD-2706-2012
person.identifier.scopus-author-id7005863976
person.identifier.scopus-author-id7102104610
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7039fbb2-e1f8-4c3e-80f1-603b12d33c1c
relation.isAuthorOfPublication03524498-91a6-492e-97a2-6dbf2dd567bc
relation.isAuthorOfPublication.latestForDiscovery7039fbb2-e1f8-4c3e-80f1-603b12d33c1c
relation.isProjectOfPublication9c1bf7c5-c48f-47e6-8fab-e30aa8715c2a
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