Testing Web Mapping and Active Learning to Approach Lidar Data

Forest, Marion; Costa, Laurent; Combey, Andy; Dorison, Antoine; Pereira, Grégory

doi:10.1017/aap.2019.42

Cited by 17 publications

(23 citation statements)

References 52 publications

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“…While there are questions about the reproducibility and quality of these data points, these kinds of projects show the potential for directly involving citizens in the collection and/or interpretations of large datasets. Recent examples of a citizen science approach in archaeological lidar are encouraging, including the use of lidar hillshades in the undergraduate classroom in France (Forest et al 2020) and a machine-learning and citizen researcher fieldwork campaign in The Netherlands (Lambers, Verschoof-van der Vaart and Bourgeois 2019). These studies demonstrate that there is unexplored pedagogical potential in lidar data.…”

Section: Public Educationmentioning

confidence: 99%

Ethics in Archaeological Lidar

Cohen

Klassen

Evans

2020

Journal of Computer Applications in Archaeology

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Airborne laser scanning or lidar has now been used by archaeologists for twenty years, with many of the first applications relying on data acquired by public agencies seeking to establish baseline elevation maps, mainly in Europe and North America. More recently, several wide-area acquisitions have been designed and commissioned by archaeologists, the most extensive of which cover tropical forest environments in the Americas and Southeast Asia. In these regions, the ability of lidar to map microtopographic relief and reveal anthropogenic traces on the Earth's surface, even beneath dense vegetation, has been welcomed by many as a transformational breakthrough in our field of research. Nevertheless, applications of the method have attracted a measure of criticism and controversy, and the impact and significance of lidar are still debated. Now that wide-area, high-density laser scanning is becoming a standard part of many archaeologists' toolkits, it is an opportune moment to reflect on its position in contemporary archaeological practice and to move towards a code of ethics that is vital for scientific research. The papers in this Special Collection draw on experiences with using lidar in archaeological research programs, not only to highlight the new insights that derive from it but also to cast a critical eye on past practices and to assess what challenges and opportunities remain for developing codes of ethics. Using examples from a range of countries and environments, contributions revolve around three key themes: data management and access; the role of stakeholders; and public education. We draw on our collective experiences to propose a range of improvements in how we collect, use, and share lidar data, and we argue that as lidar acquisitions mature we are well positioned to produce ethical, impactful, and reproducible research using the technique.

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Section: Public Educationmentioning

confidence: 99%

Ethics in Archaeological Lidar

Cohen

Klassen

Evans

2020

Journal of Computer Applications in Archaeology

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“…La fenêtre d'étude du présent travail a été définie dans cette zone, à cheval entre la plaine lacustre et les hautes terres volcaniques. En ce qui concerne la pédologie, outre l'altération des roches volcaniques, les dépôts de cendre constituent le matériau parental de la majorité des sols (DETENAL 1979 ;Dorison 2019). De par la sensibilité à l'érosion de ces contextes géomorphologiques, nombre de sols se sont aussi développés sur des colluvions ou des alluvions.…”

Section: Contexte Environnementalunclassified

“…base de greniers), à quelques exceptions près. De manière générale, les habitats de l'Épiclassique sont plus petits que ceux du Postclassique moyen (Dorison 2019).…”

Section: Recherches Archéologiques Permettant L'identification Des Stunclassified

“…Bien qu'ils soient documentés de longue date (Acuña 1987(Acuña [c. 1570 : 104), leur ampleur spatiale a jusqu'ici été sous-estimée. La multiplication des couvertures LiDAR au Mexique et au Guatemala (Fisher et al 2011 ;Chase et al 2012 ;Canuto et al 2018 ;Pereira et Padilla 2018 ;Dorison 2019 entre autres) révèle aujourd'hui l'aménagement anthropique quasiment continu des milieux physiques pour l'exploitation agricole autour et à l'intérieur des sites d'habitat.…”

Section: Introductionunclassified

“…Hormis des investigations archéologiques intrasites conduites dans le cadre de plusieurs projets français successifs (Michelet 1992 ;Darras 1998 ;Pereira et Padilla 2018), les connaissances demeuraient limitées en ce qui concerne l'inscription de ces établissements au sein de la microrégion et les modalités de la subsistance des populations urbaines. Pour combler ces lacunes, une étude de l'environnement des centres urbains a été mise en place dès 2013 pour identifier les traces d'occupation et évaluer le potentiel agronomique des sols (Dorison 2019 ;Dorison et Michelet 2015 ;Pereira et al 2016). Elle a efficacement été complétée en 2015 par une opération LiDAR de 90 km² couvrant l'ensemble du Malpaís.…”

Section: Introductionunclassified

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Aménagements agraires préhispaniques dans un milieu volcanique : Analyses des données LiDAR du Malpaís de Zacapu, Mexique

Dorison¹

2020

NUMEAR

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La multiplication récente de couvertures LiDAR en Mésoamérique (Mexique et Guatemala) révèle peu à peu l'ampleur jusqu'ici sous-estimée de l'aménagement des espaces à l'époque préhispanique. Les sites d'habitat connus s'avèrent intégrés dans des paysages intensément modifiés, avant tout pour être cultivés, soulignant une fois de plus l'importance de l'agriculture dans ces sociétés sans animal de trait ni bétail. Inscrit dans cette mouvance, cette contribution présente le cas probant du LiDAR du Malpaís de Zacapu (90 km²), dans l'Ouest mexicain, en s'intéressant plus spécialement aux aménagements agraires. L'étude combine terrain et imagerie numérique (LiDAR, imagerie satellite) pour aborder l'aménagement anthropique de ce milieu volcanique caractérisé par des coulées de lave chaotiques où la couverture pédologique est plus ou moins développée. Elle convoque les méthodes de l'archéogéographie et de la géopédologie appliquée pour mettre à jour la cartographie des vestiges archéologiques et des sols de la zone. Les nombreuses structures découvertes bouleversent notre vision de la chronologie d'occupation locale. Parallèlement, l'étude met en lumière des aménagements agraires adaptés aux spécificités des formes du terrain et aux types de sols. Elle met finalement en exergue des choix culturels pour la sélection des espaces cultivés qui évoluent en fonction des époques. ABSTRACT. Recent LiDAR-based surveys in Mesoamerica (Mexico and Guatemala) slowly reveal the underestimated magnitude of prehispanic landscape management. Known residential sites prove to be integrated within deeply modified landscapes, primarily to be cultivated, thus highlighting once more the importance of agriculture in these societies deprived of beasts of burden or cattle. Consistent with this research trend, this contribution presents the compelling case study of the Malpaís de Zacapu LiDAR (90 km²), in West Mexico, focusing on agrarian features. The study combines field work and digital imagery (LiDAR, satellite imagery) to address landscape modification in this volcanic environment characterized by chaotic lava flows displaying little or no soil cover. We used methods from archaeogeography and applied geopedology to update the archaeological and soil maps of the area. The numerous remains brought to light dramatically change our understanding of local settlement history. In the meantime, the study underlines agrarian features adapted to specific landforms and soil types. It finally points out that the selection of cultivated areas is also governed by cultural choices that have changed through time. MOTS-CLÉS. Occident du Mexique, agriculture préhispanique, LiDAR, archéogéographie, géoarchéologie, pédologie, géomorphologie.

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Applying automated object detection in archaeological practice: A case study from the southern Netherlands

Vaart

Lambers

2021

Archaeological Prospection

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Within archaeological prospection, Deep Learning algorithms are developed to detect objects within large remotely sensed datasets. These approaches are generally tested in an (ideal) experimental setting but have not been applied in different contexts or 'in the wild', that is, incorporated in archaeological prospection. This research explores the applicability, knowledge discovery-on both a quantitative and qualitative level-and efficiency gain resulting from employing an automated detection tool called WODAN within (Dutch) archaeological practice. WODAN has been used to detect barrows and Celtic fields in LiDAR data from the Dutch Midden-Limburg area, which differs in archaeology, geo-(morpho)logy and land-use from the Veluwe in which it was developed. The results show that WODAN was able to detect potential barrows and Celtic fields, including previously unknown examples, and provided information about the structuring of the landscape in the past. Based on the results, combined human-computer strategies are argued, in which automated detection has a complementary, rather than a substitute role, to manual analysis. This can offset the inherent biases in manual analysis and deal with the problem that current automated detection methods only detect objects similar to the pre-defined target class(es). The incorporation of automated detection into archaeological prospection, in which the results of automated detection are used to highlight areas of interest and to enhance and add detail to existing archaeological predictive maps, seems logical and feasible.

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Testing Web Mapping and Active Learning to Approach Lidar Data

Cited by 17 publications

References 52 publications

Ethics in Archaeological Lidar

Ethics in Archaeological Lidar

Aménagements agraires préhispaniques dans un milieu volcanique : Analyses des données LiDAR du Malpaís de Zacapu, Mexique

Applying automated object detection in archaeological practice: A case study from the southern Netherlands

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