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dc.contributor.authorFonte, J
dc.contributor.authorMeunier, E
dc.contributor.authorGonçalves, JA
dc.contributor.authorDias, F
dc.contributor.authorLima, A
dc.contributor.authorGonçalves-Seco, L
dc.contributor.authorFigueiredo, E
dc.date.accessioned2021-09-01T10:42:58Z
dc.date.issued2021-08-29
dc.description.abstractNorthwest Iberia can be considered as one of the main areas where tin was exploited in antiquity. However, the location of ancient tin mining and metallurgy, their date and the intensity of tin production are still largely uncertain. The scale of mining activity and its socio-economical context have not been truly assessed, nor its evolution over time. With the present study, we intend to present an integrated, multiscale, multisensor and interdisciplinary methodology to tackle this problem. The integration of airborne LiDAR and historic aerial imagery has enabled us to identify and map ancient tin mining remains on the Tinto valley (Viana do Castelo, northern Portugal). The combination with historic mining documentation and literature review allowed us to confirm the impact of modern mining and define the best-preserved ancient mining areas for further archaeological research. After data processing and mapping, subsequent ground-truthing involved field survey and geological sampling that confirmed cassiterite exploitation as the key feature of the mining works. This non-invasive approach is of importance for informing future research and management of these landscapes.en_GB
dc.description.sponsorshipEuropean Commissionen_GB
dc.description.sponsorshipFEDERen_GB
dc.description.sponsorshipFCTen_GB
dc.description.sponsorshipFCT/ESFen_GB
dc.identifier.citationVol. 13, No. 17, article 3434en_GB
dc.identifier.doi10.3390/rs13173434
dc.identifier.grantnumber794048en_GB
dc.identifier.grantnumberPTDC/HARARQ/32290/2017en_GB
dc.identifier.grantnumberUIDB/50025/2020-2023en_GB
dc.identifier.grantnumber2020.05534.BDen_GB
dc.identifier.urihttp://hdl.handle.net/10871/126944
dc.language.isoenen_GB
dc.publisherMDPI AGen_GB
dc.rightsCopyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectairborne LiDARen_GB
dc.subjectaerial imageryen_GB
dc.subjectarchival documentationen_GB
dc.subjectmining archaeologyen_GB
dc.subjectnorthwest Iberiaen_GB
dc.subjecttinen_GB
dc.titleAn integrated remote-sensing and GIS approach for mapping past tin mining landscapes in northwest Iberiaen_GB
dc.typeArticleen_GB
dc.date.available2021-09-01T10:42:58Z
dc.identifier.issn2072-4292
dc.descriptionThis is the final version. Available from MDPI via the DOI in this record. en_GB
dc.descriptionData Availability Statement: Restrictions apply to the availability of the presented data.en_GB
dc.identifier.journalRemote Sensingen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-08-25
exeter.funder::European Commissionen_GB
exeter.funder::European Commissionen_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-08-29
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-09-01T10:35:50Z
refterms.versionFCDVoR
refterms.dateFOA2021-09-01T10:45:43Z
refterms.panelCen_GB


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Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).