Archaeological LiDAR in Italy: enhancing research with publicly accessible data

Sánchez, Jesús García

doi:10.15184/aqy.2018.147

Cited by 13 publications

(7 citation statements)

References 6 publications

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“…Those systems are capable of achieving much higher accuracies with laser footprint diameters on the surface in the order of a few decimeters [ 14 ]. Often airborne LiDAR data are periodically acquired and made available to the public free of charge by local authorities [ 7 , 18 ]. During the last years, the use of airborne LiDAR for detecting and documenting historical remains has thus been investigated by several authors.…”

Section: Introductionmentioning

confidence: 99%

Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning

Storch

Jarmer

Adam

et al. 2021

Sensors

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In order to locate historical traces, drone-based Laserscanning has become increasingly popular in archaeological prospection and historical conflict landscapes research. The low resolution of aircraft-based Laserscanning is not suitable for small-scale detailed analysis so that high-resolution UAV-based LiDAR data are required. However, many of the existing studies lack a systematic approach to UAV-LiDAR data acquisition and point cloud filtering. We use this methodology to detect anthropogenic terrain anomalies. In this study, we systematically investigated different influencing factors on UAV-LiDAR data acquisition. The flight parameters speed and altitude above ground were systematically varied. In addition, different vegetation cover and seasonal acquisition times were compared, and we evaluated three different types of filter algorithms to separate ground from non-ground. It could be seen from our experiments that for the detection of subsurface anomalies in treeless open terrain, higher flight speeds like 6m/s were feasible. Regarding the flight altitude, we recommend an altitude of 50–75m above ground. At higher flight altitudes of 100–120m above ground, there is the risk that terrain characteristics smaller than 50cm will be missed. Areas covered with deciduous forest should only be surveyed during leaf-off season. In the presence of low-level vegetation (small bushes and shrubs with a height of up to 2m), it turned out that the morphological filter was the most suitable. In tree-covered areas with total absence of near ground vegetation, however, the choice of filter algorithm plays only a subordinate role, especially during winter where the resulting ground point densities have a percentage deviation of less than 6% from each other.

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Section: Introductionmentioning

confidence: 99%

Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning

Storch

Jarmer

Adam

et al. 2021

Sensors

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“…The RVT software has been developed by a research group from the Slovenian Academy of Sciences and Arts, in a project managed by Žiga Kokalj. At the time, we relied on the studies carried out by Massini et al [16] to locate the structures of a medieval fortification in Basilicata (Italy) hidden under a thick blanket of forest; the Samnitic Hillforts of Civitella (Longano, Italy); the archaic and Hellenistic urban centre of Satricum (Lazio) analysed using SAGA functions [17], or the record of archaeological traces in the Roman limes of Dacia in Porolissum (Romania) carried out by Roman et al [18].…”

Section: Materials and Methods Usedmentioning

confidence: 99%

“…However, Tapete and Cigna [28] (pp. [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] have shown that the joint use of multiple SAR images at different time points in the same study area can reduce speckle by providing images of greater clarity than treating them individually. This reduction is carried out through the co-register function, which implies the creation of a stack of images, with one referent, and the rest-subordinate.…”

Section: Sar Sources Techniques Usedmentioning

confidence: 99%

Tests with SAR Images of the PAZ Platform Applied to the Archaeological Site of Clunia (Burgos, Spain)

et al. 2021

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This article presents the first results obtained from the use of high-resolution images from the SAR-X sensor of the PAZ satellite platform. These are in result of the application of various radar image-treatment techniques, with which we wanted to carry out a non-invasive exploration of areas of the archaeological site of Clunia (Burgos, Spain). These areas were analyzed and contrasted with other sources from high-resolution multispectral images (TripleSat), or from digital surface models obtained from Laser Imaging Detection and Ranging (LiDAR) data from the National Plan for Aerial Orthophotography (PNOA), and treated with image enhancement functions (Relief Visualization Tools (RVT)). Moreover, they were compared with multispectral images created from the Infrared Red Blue (IRRB) data contained in the same LiDAR points.

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“…En Grèce, l'absence de couverture nationale LiDAR librement accessible, comme on en trouve dans d'autres pays européens 22 , est clairement un frein au développement de recherches archéologiques non-invasives dans le pays. Dans le cas présent, l'acquisition de données pour appuyer la recherche sur deux sites différents a permis de mieux documenter et de mieux comprendre les sites archéologiques en question, mais aussi les paysages qui les entourent.…”

Section: Conclusion Et Perspectivesunclassified

Opération LiDAR à Akraiphia et au Val des Muses, Béotie (2021)

Lucas¹,

Sánchez²

2022

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Date précise de l'opération : 12 mai 2021 Autorité nationale présente : Alexandra Charami, Éphorie des antiquités de Thèbes Numéro de mission : I48 Organismes financeurs : École française d'Athènes Établissements porteurs de l'opération : École française d'Athènes Remerciements : Les auteurs tiennent à remercier l'éphorie des antiquités de Thèbes, et en particulier sa directrice Alexandra Charami, sans qui cette étude n'aurait pas été possible, ainsi que Périklis Boutzoukis, notre contact auprès de l'entreprise Aerophoto. La mission de 2021 : enjeux et spécifications techniques 1Pour faciliter l'étude des fortifications et du site de la ville antique d'Akraiphia, dans le cadre du projet d'EFA porté par Thierry Lucas, une campagne d'acquisition de données LiDAR par avion a été menée sur le site. À cette occasion, il a également été décidé de profiter de la mission pour inclure dans le plan de vol un autre site béotien où l'EFA mène actuellement des recherches, le sanctuaire du Val des Muses, en collaboration avec l'équipe française travaillant sur ce site (Yannis Kalliontzis, Guillaume Biard) et avec l'équipe du Boeotia Project (John Bintliff, qui a généreusement participé au financement de la mission) (fig. 1).

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Archaeological LiDAR in Italy: enhancing research with publicly accessible data

Cited by 13 publications

References 6 publications

Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning

Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning

Tests with SAR Images of the PAZ Platform Applied to the Archaeological Site of Clunia (Burgos, Spain)

Opération LiDAR à Akraiphia et au Val des Muses, Béotie (2021)

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