An integrated remote-sensing and GIS approach for mapping past tin mining landscapes in northwest Iberia
dc.contributor.author | Fonte, J | |
dc.contributor.author | Meunier, E | |
dc.contributor.author | Gonçalves, JA | |
dc.contributor.author | Dias, F | |
dc.contributor.author | Lima, A | |
dc.contributor.author | Gonçalves-Seco, L | |
dc.contributor.author | Figueiredo, E | |
dc.date.accessioned | 2021-09-01T10:42:58Z | |
dc.date.issued | 2021-08-29 | |
dc.description.abstract | Northwest 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.sponsorship | European Commission | en_GB |
dc.description.sponsorship | FEDER | en_GB |
dc.description.sponsorship | FCT | en_GB |
dc.description.sponsorship | FCT/ESF | en_GB |
dc.identifier.citation | Vol. 13, No. 17, article 3434 | en_GB |
dc.identifier.doi | 10.3390/rs13173434 | |
dc.identifier.grantnumber | 794048 | en_GB |
dc.identifier.grantnumber | PTDC/HARARQ/32290/2017 | en_GB |
dc.identifier.grantnumber | UIDB/50025/2020-2023 | en_GB |
dc.identifier.grantnumber | 2020.05534.BD | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/126944 | |
dc.language.iso | en | en_GB |
dc.publisher | MDPI AG | en_GB |
dc.rights | 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/). | en_GB |
dc.subject | airborne LiDAR | en_GB |
dc.subject | aerial imagery | en_GB |
dc.subject | archival documentation | en_GB |
dc.subject | mining archaeology | en_GB |
dc.subject | northwest Iberia | en_GB |
dc.subject | tin | en_GB |
dc.title | An integrated remote-sensing and GIS approach for mapping past tin mining landscapes in northwest Iberia | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2021-09-01T10:42:58Z | |
dc.identifier.issn | 2072-4292 | |
dc.description | This is the final version. Available from MDPI via the DOI in this record. | en_GB |
dc.description | Data Availability Statement: Restrictions apply to the availability of the presented data. | en_GB |
dc.identifier.journal | Remote Sensing | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2021-08-25 | |
exeter.funder | ::European Commission | en_GB |
exeter.funder | ::European Commission | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2021-08-29 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2021-09-01T10:35:50Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2021-09-01T10:45:43Z | |
refterms.panel | C | en_GB |
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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/).