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A low-cost Sentinel-2 data and Rao’s Q diversity index-based application for detecting, assessing and monitoring coastal land-cover/land-use changes at high spatial resolution

dc.contributor.authorTassi, Andrea
dc.contributor.authorGil, Artur José Freire
dc.date.accessioned2021-05-20T15:22:06Z
dc.date.available2021-05-20T15:22:06Z
dc.date.issued2020-05
dc.description.abstractCoastal zones in small oceanic islands as the Archipelago of the Azores (Portugal) are very sensitive territories severely threatened by climate change, natural disasters, biological invasions, infrastructure and tourism development, and also agriculture intensification. Land-cover/land-use changes are one of the most relevant indicators for monitoring and assessing coastal spatial planning and management policies in insular territories. This paper describes the application of a low-cost Rao's Q diversity index-based remote sensing tool able to provide a systematic and accurate coastal land-cover/land-use monitoring system in small oceanic islands, using free and open access Sentinel-2 multispectral satellite data and Terceira island (Archipelago of the Azores, Portugal) as the case-study area. Results indicate that about 7% (∼300 hectares) of Terceira Island's coastal zone (∼4290 hectares) have changed their land-cover/ land-use between March 2017 and December 2018 (21 months). Agricultural areas (4.1%), urban areas (2.1%) and bare soil areas (0.6%) are the categories showing more relevant changes.en
dc.description.sponsorshipErasmus+ Mobility Programme; DRCT -Direção Regional para a Ciência e Tecnologia do Governo Regional dos Acores (PRO-SCIENTIAM1.1.a/042/Funcionamento/2018); Portuguese Foundation for Science and Technology (UID/BIA/00329/2020-2023)en
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTassi, A. & Gil, A. (2020). A low-cost Sentinel-2 data and Rao’s Q diversity index-based application for detecting, assessing and monitoring coastal land-cover/land-use changes at high spatial resolution. “Journal of Coastal Research”, 95, 1315-1319. DOI: 10.2112/SI95-253.1en
dc.identifier.doi10.2112/SI95-253.1pt_PT
dc.identifier.issn1551-5036
dc.identifier.urihttp://hdl.handle.net/10400.3/5923
dc.identifier.wos000537556600242
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCoastal Education and Research Foundation (CERF)en
dc.relationUID/BIA/00329/2020-2023pt_PT
dc.relation.publisherversionhttps://bioone.org/journals/journal-of-coastal-research/volume-95/issue-sp1/SI95-253.1/A-Low-cost-Sentinel-2-Data-and-Raos-Q-Diversity/10.2112/SI95-253.1.shortpt_PT
dc.subjectCoastal Changeen
dc.subjectIslandsen
dc.subjectSpectral Variation Hypothesisen
dc.subjectRao's Q Indexen
dc.subjectAzoresen
dc.titleA low-cost Sentinel-2 data and Rao’s Q diversity index-based application for detecting, assessing and monitoring coastal land-cover/land-use changes at high spatial resolutionen
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceUnited Statesen
oaire.citation.endPage1319pt_PT
oaire.citation.startPage1315pt_PT
oaire.citation.titleJournal of Coastal Researchen
oaire.citation.volume95pt_PT
person.familyNameFreire Gil
person.givenNameArtur José
person.identifierI-7520-2012
person.identifier.ciencia-id6E1A-0689-D573
person.identifier.orcid0000-0003-4450-8167
person.identifier.scopus-author-id37064609200
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication24d6aa34-c843-42df-b790-912f09560a80
relation.isAuthorOfPublication.latestForDiscovery24d6aa34-c843-42df-b790-912f09560a80

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