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Detecting Ditched Sites on Lidar-Generated Digital Elevation Models
hal.structure.identifier | Institut national de recherches archéologiques préventives [Inrap] | |
dc.contributor.author | MESTRE, Mickaël | |
hal.structure.identifier | Botanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP] | |
hal.structure.identifier | Institut de Recherche pour le Développement [IRD] | |
dc.contributor.author | VINCENT, Grégoire | |
hal.structure.identifier | Recherche, développement et innovation [ONF-RDI] | |
dc.contributor.author | BEDEAU, Caroline | |
hal.structure.identifier | Université Paris 1 Panthéon-Sorbonne [UP1] | |
dc.contributor.author | ANTONOFF, Nina | |
hal.structure.identifier | Recherche, développement et innovation [ONF-RDI] | |
dc.contributor.author | BRUNAUX, Olivier | |
hal.structure.identifier | Pôle de recherche pour l'organisation et la diffusion de l'information géographique [PRODIG (UMR_8586 / UMR_D_215 / UM_115)] | |
dc.contributor.author | GAUTREAU, Pierre | |
hal.structure.identifier | Passages | |
dc.contributor.author | NOUCHER, Matthieu | |
dc.contributor.editor | Guillaume Odonne | |
dc.contributor.editor | Jean-François Molino | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 9780429060175 | |
dc.description.abstractEn | In addition to other remote sensing methods, LiDAR has been used for many years in temperate regions or open tropical agricultural landscapes to detect signs of past human activities. The improvement of sensors, and therefore of LiDAR’s ability to penetrate dense vegetation, allows us now to produce digital elevation models (DEMs) that are precise enough to reveal topographic artefacts over large tropical rainforest tracts. We discuss here the requirements for producing such DEMs and detail how they can be used to detect particular landscape-scale pre-Columbian features known as ring-ditched sites in French Guiana. | |
dc.description.sponsorship | CEnter of the study of Biodiversity in Amazonia - ANR-10-LABX-0025 | |
dc.language.iso | en | |
dc.publisher | Taylor & Francis Group | |
dc.publisher.location | London | |
dc.source.title | Methods in Historical Ecology. Insights from Amazonia | |
dc.title.en | Detecting Ditched Sites on Lidar-Generated Digital Elevation Models | |
dc.title.en | From technical specifications to interpretation keys | |
dc.type | Chapitre d'ouvrage | |
dc.identifier.doi | 10.4324/9780429060175-10 | |
dc.subject.hal | Sciences de l'Homme et Société/Archéologie et Préhistoire | |
dc.subject.hal | Sciences de l'environnement | |
bordeaux.page | 69-76 | |
bordeaux.title.proceeding | Methods in Historical Ecology. Insights from Amazonia | |
hal.identifier | halshs-02946822 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//halshs-02946822v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Methods%20in%20Historical%20Ecology.%20Insights%20from%20Amazonia&rft.date=2020&rft.spage=69-76&rft.epage=69-76&rft.au=MESTRE,%20Micka%C3%ABl&VINCENT,%20Gr%C3%A9goire&BEDEAU,%20Caroline&ANTONOFF,%20Nina&BRUNAUX,%20Olivier&rft.isbn=9780429060175&rft.genre=unknown |
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