Identifier et enregistrer des vestiges archéologiques sous couvert forestier à partir de données LiDAR : méthode et limites

Abstract : Since more than ten years, researches about stone remains under forest have been carried out in the Châtillonnais (Côte-d’Or, France). The surveys carried out up to date consisted of a systematic GNSS survey of the archaeological features. These surveys were completed in 2012 by a LiDAR acquisition over 400km², funded by Parcs Nationaux de France (PNF). This paper aims to present the approach developed within the project to process and record the archaeological data detected with the LiDAR. The challenge is to homogenize the vectorization and the recording of each identified structures (from the sets of images derived from the LiDAR data) by the different researchers. For the implementation of this method, a test of vectorization was realized on the same geographical area by eight researchers. The aim of this test is to identify the vectorization biases and to propose a methodological process associating the visualization indexes used, the type of remains to be detected and their topographic location and recording methodology (spatial database, tools of vectorization, etc.) connected to the survey methodology.
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https://hal.archives-ouvertes.fr/hal-02051242
Contributor : Ludovic Granjon <>
Submitted on : Wednesday, February 27, 2019 - 4:08:47 PM
Last modification on : Wednesday, April 10, 2019 - 8:20:07 AM

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Emmanuel Chevigny, Laure Saligny, Ludovic Granjon, Dominique Goguey, Alexandra Cordier, et al.. Identifier et enregistrer des vestiges archéologiques sous couvert forestier à partir de données LiDAR : méthode et limites. Archeosciences, revue d'Archéométrie, Published by G.M.P.C.A./Presses universitaires de Rennes, 2019, 42-2, pp.31-43. ⟨10.4000/archeosciences.5727⟩. ⟨hal-02051242⟩

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