1. The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping
- Author
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Mayoral Pascual, Alfredo, Toumazet, Jean-Pierre, François-Xavier, Simon, Vautier, Franck, Peiry, Jean-Luc, Laboratoire de Géographie Physique et Environnementale (GEOLAB), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Université Clermont Auvergne (UCA)-Institut Sciences de l'Homme et de la Société (IR SHS UNILIM), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Maison des Sciences de l'Homme de Clermont-Ferrand (MSH Clermont), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), UMI 3189 ESS Environnement, santé, sociétés, (UMI 3189), Centre National de la Recherche Scientifique (CNRS), Région Auvergne, AAP structurants en SHS 2013 : AYPONA, pAYsages et visages d’une agglomération arverne : apProche intégréeet diachrONique de l’occupAtion de l’Oppidum de coreNt (Auvergne, France), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut Sciences de l'Homme et de la Société (IR SHS UNILIM), and Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)
- Subjects
LiDAR ,[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory ,highest gradient model ,[SHS.ENVIR]Humanities and Social Sciences/Environmental studies ,landforms detection ,Science ,microtopography ,[SDE.ES]Environmental Sciences/Environmental and Society ,visualization techniques ,spatial statistics - Abstract
International audience; ALS-derived raster visualization techniques have become common in recent years, opening up new possibilities for subtle landform detection in earth sciences and archaeology, but they have also introduced confusion for users. As a consequence, the choice between these visualization techniques is still mostly supported by empirical knowledge. Some attempts have been made to compare these techniques, but there is still a lack of analytical data. This work proposes a new method, based on gradient modelling and spatial statistics, to analytically assess the efficacy of these visualization techniques. A selected panel of outstanding visualization techniques was assessed first by a classic non-analytical approach, and secondly by the proposed new analytical approach. The comparison of results showed that the latter provided more detailed and objective data, not always consistent with previous empirical knowledge. These data allowed us to characterize with precision the terrain for which each visualization technique performs best. A combination ofvisualization techniques based on DEM manipulation (Slope and Local Relief Model) appeared to be the best choice for normal terrain morphometry, occasionally supported by illumination techniques such as Sky-View Factor or Negative Openness as a function of terrain characteristics.
- Published
- 2017