0000000000003369

AUTHOR

Ludovic Granjon

showing 32 related works from this author

Impacts d’une meilleure description de la végétation urbaine sur des résultats de modélisation du climat urbain

2022

[SHS.GEO] Humanities and Social Sciences/Geography
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Le logiciel OH_FET pour l’analyse des dynamiques urbaines dans la longue durée

2014

L’objectif de l’atelier est de proposer aux participants d’utiliser le logiciel OH_FET à partir de leurs jeux de données. Développé comme un logiciel libre, il rend accessible les outils d’analyses correspondant au modèle pour l’étude des villes à partir d’un jeu de données en entrée avec une structuration peu contraignante. Son utilisation est possible pour n’importe quel espace urbain à partir d’un ensemble d’objets historiques décrit par un terme dans un thésaurus, une géométrie et une chronologie sous la forme d’une date d’apparition et d’une date de disparition. Sur cette base, l’application effectue les déconstructions spatiale et temporelle préconisées par le modèle OH_FET et produit…

géomatique[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.GEO] Humanities and Social Sciences/Geographylogiciel[SHS] Humanities and Social Sciencesméthodologie
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Les occupations néolithiques des marais de Saint-Gond : prospections

2018

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory
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Study of the urban dynamics by a new computer application, OH-FET

2014

International audience; The study of the urban fabric and the spatial dynamics of urban space is based on an understanding of the city as a complex system composed of individual historical objects. The OH_FET model which we developed since 2004, is based on this approach of urban space. It describes the historical urban object as the Cartesian product of three basic dimensions: function (social use), space and time from the works of Donna Peuquet in geomatics and James Allen in artificial intelligence. Although the heuristic potential of the model have already been proven to work on the cities of Tours and , more recently, Vendome in France, the integration constraints, the designing and da…

[SHS.GEO] Humanities and Social Sciences/Geography[ SHS ] Humanities and Social Sciences[SHS.GEO]Humanities and Social Sciences/Geographytemporal dimensionchronographie[SHS] Humanities and Social SciencesPython languageUrban transformation[ SHS.GEO ] Humanities and Social Sciences/Geography[SHS]Humanities and Social Sciences
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Journée d'Actualité Archéologique en Autunois et en Bourgogne, 29 mai 2015, Autun

2015

Forte de son concept visant à réunir lesscientifiques et professionnels reconnusde l’archéologie, et les citoyens amateurspassionnés de patrimoine, cette journée estun lieu privilégié d’échanges autour d’unediscipline toujours fascinante, portant un grandcoup de projecteur sur les différents chantiersmenés en région.Cette brochure vous permettra de redécouvrirl’ensemble des interventions de la journée du29 mai 2015, visant à présenter les résultats desprospections et fouilles conduites à Autun eten Bourgogne en 2014.

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and PrehistoryArchéologie[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryAutun
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Documenting carved stones by 3D modelling – Example of Mongolian deer stones

2018

Rock art studies are facing major technical challenges for extensive documentation. Nowadays, recording is essentially obtained from time-consuming tracing and rubbing, techniques that also require a high level of expertise. Recent advances in 3D modelling of natural objects and computational treatment of the modelled surfaces may provide an alternative, and reduce the current documentation bottleneck. The aim of this study is to examine the extent to which such treatments can be applied. The case study presented here concerns the famous deer stones erected by ancient Mongolian nomad populations. The 3D acquisition workflow is based on structure-from-motion, a versatile photogrammetric tech…

ArcheologyEngineering drawing[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer scienceMaterials Science (miscellaneous)Late Bronze AgeConservationDocumentationTracing01 natural sciencesBottleneckDocumentation0601 history and archaeologyRock artSpectroscopyRecording methods060102 archaeology010401 analytical chemistryVisibility (geometry)06 humanities and the artscomputer.file_formatMongolia15. Life on landPositive openness0104 chemical sciencesPhotogrammetryWorkflowArchaeologyChemistry (miscellaneous)Photogrammetry[SHS.ENVIR]Humanities and Social Sciences/Environmental studiesRock artRaster graphicsGeneral Economics Econometrics and Financecomputer
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L’analyse exploratoire des données appliquées aux données de peuplement en Sciences Humaines : quelles méthodes pour quelles interrogations ? L’exemp…

2014

National audience

Géomatique[ SHS ] Humanities and Social Sciences[SHS] Humanities and Social SciencesComputingMilieux_MISCELLANEOUS[SHS]Humanities and Social Sciences
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Les occupations néolithiques des marais de Saint-Gond : vert-la-Gravelle (Vert6toulon, Marne) "la crayère". Minière de silex et nécropoles d'hypogées

2018

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory
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The role of fire within Neolithic collective burials: Spatial analyses of cremains from the site of La Truie Pendue, France

2016

International audience; The use of collective graves is one of the main features of the western European Late Neolithic. A single gravesite received the successive deposition of dozens or sometimes hundreds of individuals. While cremations or even full-fired inhumation layers are often found within these funerary deposits, the actual role of fire is still poorly understood. Recently discovered within the important archaeological complex of Passy (Yonne, France), the burned collective grave of La Truie-Pendue provides an outstanding case study to examine the use of fire within Neolithic funerary rites. In this study, we develop a new contextual approach to bone alterations in order to recons…

Archeology060101 anthropologyHistoryTaphonomy[SHS.STAT]Humanities and Social Sciences/Methods and statistics060102 archaeology[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryburned bones06 humanities and the artsNeolithic collective graveGISArchaeologyburial taphonomy[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryStatistical analysesosteoarchaeology0601 history and archaeology[ SHS.STAT ] Humanities and Social Sciences/Methods and statistics
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Machine learning for rapid mapping of archaeological structures made of dry stones – Example of burial monuments from the Khirgisuur culture, Mongoli…

2020

11 pages; International audience; The present study proposes a workflow to extract from orthomosaics the enormous amount of dry stones used by past societies to construct funeral complexes in the Mongolian steppes. Several different machine learning algorithms for binary pixel classification (i.e. stone vs non-stone) were evaluated. Input features were extracted from high-resolution orthomosaics and digital elevation models (both derived from aerial imaging). Comparative analysis used two colour spaces (RGB and HSV), texture features (contrast, homogeneity and entropy raster maps), and the topographic position index, combined with nine supervised learning algorithms (nearest centroid, naive…

Archeology010504 meteorology & atmospheric sciences[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer scienceMaterials Science (miscellaneous)Topographic position index[SDV]Life Sciences [q-bio]ConservationMachine learningcomputer.software_genre01 natural sciences[SHS]Humanities and Social SciencesNaive Bayes classifierVector graphicsPixel classification[SCCO]Cognitive sciencePixel classification Grey level co-occurrence matrix RGB colour space Texture Topographic position index Photogrammetry Burial complex planigraphy Mongolia Bronze age Iron age0601 history and archaeologyTextureSpectroscopyRGB colour space0105 earth and related environmental sciencesBronze age060102 archaeologyArtificial neural networkbusiness.industryIron ageCentroidGrey level co-occurrence matrix06 humanities and the artscomputer.file_formatMongoliaArchaeologyRandom forestSupport vector machinePhotogrammetryChemistry (miscellaneous)Photogrammetry[SDE]Environmental SciencesBurial complex planigraphyArtificial intelligenceRaster graphicsbusinessGeneral Economics Econometrics and Financecomputer
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Archéologie forestière. Rapport annuel 2021

2021

International audience

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputingMilieux_MISCELLANEOUS
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OH_FET: a computer application for analysing urban dynamics over long time spans

2015

International audience; OH_FET formalism has been designed to analyse urban fabric over long time spans (Lefebvre et al., 2008; Rodier and Saligny, 2010; Rodier et al., 2010). The conceptual model is founded on the idea of historical object (OH – objet historique) which is defined as the Cartesian product of three elementary dimensions: social use (what), space (where) and time (when). Processes are performed in Python programming language and data are stored in various kinds of spatial database. With a minimum of required data from archaeologists’ observations, the application allows users to automate the calculation of standardised indicators about urban transformations and to generate gr…

Urban dynamicstemporal analyses[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistorysoftware developmentspace-time modelling
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Lidar : traitement avancé des données et interprétation archéologique - cours 2016

2016

Détection[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]archéologie[SHS.GEO] Humanities and Social Sciences/Geography[SHS.STAT] Humanities and Social Sciences/Methods and statisticsTélédétection par lidarmodèle numérique de terrainlidar
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Deep learning to detect built cultural heritage from satellite imagery. - Spatial distribution and size of vernacular houses in Sumba, Indonesia -

2021

Abstract In Sumba Island – Indonesia, the implantation of vernacular houses, inside and outside traditional villages, is considered to be an efficient proxy for the on-going complex cultural transformations resulting from globalization. This study presents an easily reproducible workflow allowing buildings to be automatically detected from satellite imagery, demonstrating how modern computer vision methods based on deep learning can help in this task, which would be far too time-consuming when undertaken by hand. Eight deep learning architectures based on convolutional neural networks were compared in terms of ability to identify and locate precisely traditional houses from satellite images…

Archeology[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer scienceMaterials Science (miscellaneous)02 engineering and technologyConservationMachine learningcomputer.software_genreConvolutional neural network11. SustainabilityClassifier (linguistics)0202 electrical engineering electronic engineering information engineering0601 history and archaeologyArchitectureSpectroscopyComputingMilieux_MISCELLANEOUS060102 archaeologyPoint (typography)business.industryDeep learning06 humanities and the arts[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Support vector machineCultural heritageWorkflowChemistry (miscellaneous)[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingArtificial intelligencebusinessGeneral Economics Econometrics and Financecomputer
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Accessibility in long run: demographic dynamic and speed acceleration in the French Railway Network between 1860 and 1930

2015

International audience

[SHS.GEO] Humanities and Social Sciences/GeographyFrench Raiway Network[SHS.GEO]Humanities and Social Sciences/GeographyComputingMilieux_MISCELLANEOUS[ SHS.GEO ] Humanities and Social Sciences/Geographyaccessibility
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The CArGOS application: A catalog of geographical data in the community of human and social sciences for non-experts in Geomatics

2013

International audience

géomatique[ SHS ] Humanities and Social Sciences[SHS] Humanities and Social SciencesComputingMilieux_MISCELLANEOUS[SHS]Humanities and Social Sciences
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Géohistoire du lien réseau/territoire en France entre 1830 et 1930 : une approche géographiquement pondérée

2015

National audience; La question de l’établissement d’un lien entre le réseau et le territoire est une problématique d’aménagement éminemment d’actualité. Sujette à débat depuis des décennies, elle est un thème pluridisciplinaire. La littérature scientifique est abondante à propos des relations qu’entretiennent ces concepts élémentaires de la géographie théorique (Bunge, 1962) et démontre certainement la difficulté de mesurer leurs liens. Apparu dès la construction des chemins de fer au début du XIXème siècle, le rapport entre réseau et territoire a souvent été décrété de manière catégorique.

SIG historiqueespace[SHS.GEO] Humanities and Social Sciences/Geographytemps[SHS.GEO]Humanities and Social Sciences/Geographypondération géographique[ SHS.GEO ] Humanities and Social Sciences/Geography
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Structures en pierre du plateau du Châtillonnais (Côte-d'Or) : du Hallstatt à l'Antiquité tardive : l'apport de l'archéologie forestière

2018

International audience

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputingMilieux_MISCELLANEOUS
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Chapitre 3. Caractériser la morphologie urbaine via un SIG pour la simulation numérique du climat urbain.

2018

44 pages; National audience

[SHS.ARCHI]Humanities and Social Sciences/Architecture space management[ SHS.ARCHI ] Humanities and Social Sciences/Architecture space management[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SHS.ARCHI] Humanities and Social Sciences/Architecture space management[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyComputingMilieux_MISCELLANEOUS
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A French railway network history, between HGIS, geohumanities and adjustment tools

2015

International audience

[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/GeographyFrancerailwayComputingMilieux_MISCELLANEOUS[ SHS.GEO ] Humanities and Social Sciences/Geography
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L’archéologie forestière dans le Châtillonnais de la prospection pédestre aux relevés LiDAR

2015

National audience

GéomatiqueArchéométrieArchéologie[SHS.GEO] Humanities and Social Sciences/Geography[ SHS ] Humanities and Social Sciences[SHS] Humanities and Social Sciences[SHS.GEO]Humanities and Social Sciences/GeographyDonnées géographiquesComputingMilieux_MISCELLANEOUS[SHS]Humanities and Social Sciences[ SHS.GEO ] Humanities and Social Sciences/Geography
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Les Local Climate Zones face à la canicule de 2018 à Dijon.

2019

Air temperatures measured by the MUSTARDijon network are analyzed during the summer 2018 (July 24 - August 8) heat wave. The WUDAPT method is applied to Dijon to identify Local Climate Zones (LCZs). Diurnal rhythms and nighttime mean temperatures are analyzed according to LCZs as well as to altitude and distance to the city center. During warm nights, altitude plays a negligible role. The temperatures depend to the distance of the city center. They are also associated to the anthropization summarized by the LCZs. Form of the building and vegetation are the two keys to understand and modulate the night temperatures which have the greatest impact on human health during heat waves.

heat waveÎlot de Chaleur Urbaincanicule[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyUrban Heat IslandTempératureLCZ
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Archéologie forestière Rapport annuel 2018

2019

Une synthèse collective1 est parue en août 2018 sur les prospections sous forêts du Châtillonnais. Elle est centrée sur l’étude des rebords est et sud du plateau mais intègre une présentation comparative des sites du plateau « compact ». Deux aspects ont été développés en 2018 : une prospection complémentaire de sites déjà connus a été menée dans la forêt domaniale de Châtillon-sur-Seine, et une exploration d’un nouveau secteur à l’est de l’emprise Lidar 2012, massif forestier de Gurgy.

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS] Humanities and Social Sciences
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Detection and identification of archaeological features using aerial LIDAR data in a forested environment (Châtillon-sur-Seine, Côte-d’Or, France).

2014

International audience; In the field of archaeology, a range of processing techniques has been developed this last decade for the visualization and analysis of LIDAR elevation data. Traditional processing methods are based on illumination techniques (e.g. hill-shading, Sky View Factor, topographic openness…) or on morphometric analysis (e.g. slope, profile curvature, aspect, local relief model…). All these techniques have shown their potential for identifying archeological features, especially in forested environment where photo interpretation is not usable. In this work, such techniques have been applied to detect archeological features from the processing of LIDAR data that were acquired …

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory
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Un LiDAR pour le Parc national de forêts : Présentation de la démarche et focus sur la problématique archéologique

2020

En 2011, le GIP de préfiguration du futur Parc national (aujourd’hui Parc national de forêts) se penche sur la mise en place d’une acquisition LiDAR sur la partie Côte-d’Or de son territoire, représentant une surface d’environ 400 km². A cet effet, le GIP fait appelle à la Plateforme GeoBFC de la Maison des Sciences de l’Homme de Dijon pour l’accompagner dans le suivi et l’expertise de cette acquisition.Cette présentation propose de s’intéresser dans un premier temps aux objectifs initiaux du LiDAR pour le Parc national, d’établir un tour d’horizon des résultats obtenus dans différentes thématiques (archéologiques, forestières, etc.), et enfin de présenter l’apport de cette technologie pour…

Archélogie[SDE] Environmental SciencesEnvironnement
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Archéologie forestière. Rapport annuel 2022

2022

[SHS] Humanities and Social Sciences
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Impacts d’une meilleure description de la végétation urbaine sur des simulations du climat urbain avec SURFEX-TEB.

2022

Le réseau MUSTARDijon offre la possibilité de procéder à une cartographie fine des températureshoraires sur Dijon Métropole. La méthode proposée ici repose sur des régressions linéaires multiplesmobilisant deux familles de prédicteurs : des descripteurs du relief et des descripteurs de l’occupation dusol. L’application porte sur la canicule de l’été 2020 (6-9 août). Deux configurations sont comparées. L’une,en mode recherche, laisse la possibilité aux descripteurs de varier dynamiquement en fonction de leurpertinence statistique, l’autre, en mode opérationnel, impose les 5 mêmes descripteurs en entrée. Entermes de performance statistique ou de structure spatiale, l’impact de la méthode n’es…

[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologyModélisationÎlot de chaleur urbainVégétation urbaineDijon Métropole
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Archéologie forestière.Rapport annuel 2019

2019

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory
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Etude de la côte viticole par laser aéroporté (Lidar)

2012

International audience

géomatiqueLidarArchéologie[SHS.GEO] Humanities and Social Sciences/GeographyCôte viticole[SHS.GEO]Humanities and Social Sciences/Geography[SHS] Humanities and Social SciencesComputingMilieux_MISCELLANEOUS[SHS]Humanities and Social Sciences
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Comment et pour qui cartographier l’îlot de chaleur urbain (ICU) ?

2022

Le réseau MUSTARDijon offre la possibilité de procéder à une cartographie fine des températureshoraires sur Dijon Métropole. La méthode proposée ici repose sur des régressions linéaires multiplesmobilisant deux familles de prédicteurs : des descripteurs du relief et des descripteurs de l’occupation dusol. L’application porte sur la canicule de l’été 2020 (6-9 août). Deux configurations sont comparées. L’une,en mode recherche, laisse la possibilité aux descripteurs de varier dynamiquement en fonction de leurpertinence statistique, l’autre, en mode opérationnel, impose les 5 mêmes descripteurs en entrée. Entermes de performance statistique ou de structure spatiale, l’impact de la méthode n’es…

Îlot de Chaleur Urbain[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologyCartographieDijon-Métropole.Géostatistique
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Etude de l’évolution des territoires d’AOC vitivinicoles de la Bourgogne à travers la mise en place d’un système d’information géographique (SIG)

2012

International audience

géomatique[SHS.GEO] Humanities and Social Sciences/Geography[ SHS ] Humanities and Social Sciences[SHS] Humanities and Social Sciences[SHS.GEO]Humanities and Social Sciences/GeographySIGComputingMilieux_MISCELLANEOUS[SHS]Humanities and Social Sciences[ SHS.GEO ] Humanities and Social Sciences/Geography
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Archéologie forestière. Rapport annuel 2020

2020

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory
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