3D monitoring of Paleolithic archaeological excavations using terrestrial laser scanner systems (Sierra de Atapuerca, Railway Trench sites, Burgos, N Spain)

Martínez‐Fernández, Adrián; Benito‐Calvo, Alfonso; Lozano, Isidoro Campaña; Martínez, Ana Isabel Ortega; Karampaglidis, Theodoros; Castro, José Marı́a Bermúdez de; Carbonell, Eudald

doi:10.1016/j.daach.2020.e00156

Cited by 10 publications

(5 citation statements)

References 46 publications

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“…Therefore, a 3D Poisson reconstruction was used for the meshing process (CloudCompare, 2020; Kazhdan et al, 2006). This reconstruction adapts to the smoothed geometry of snow and ice surfaces (Figure A1), and it can deal with noisy and complex surfaces, unlike more traditional meshing methods in geosciences such as TIN interpolation (based on Delaunay triangulation; Martínez-Fernández et al, 2020). The 2019 and 2020 surveys, were based on manual delimitation of the perimeter (E 1:300) from high-resolution orthomosaics (1.6 cm/pix in 2019 and 2.9 cm/pix n 2020) derived from UAV photogrammetry.…”

Section: Data Acquisition Using Terrestrial Laser Scanner (Tls)mentioning

confidence: 99%

The final countdown? Monitoring the rapid shrinkage of the Maladeta glacier (2010–2020), Southern Pyrenees

Martínez‐Fernández,

Serrano,

de Sanjosé

et al. 2023

Land Degrad Dev

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Small glaciers are one of the best indicators of climatic variations and their short‐term effects. Located in the Spanish Pyrenees, the Maladeta is one of these glaciers. Its systematic observation began in the 1980s, being one of the few Pyrenean glaciers with a tongue‐shaped front. This study presents the evolution of the Maladeta glacial tongue over a decade (2010–2020) through multiple geomatic techniques. Surveys have ranged from Total Stations and Global Navigation Satellite System devices to massive data capture techniques such as Terrestrial Laser Scanners or Unmanned Aerial Vehicles photogrammetry. The aim is to analyze in detail the loss of surface area and thickness of the glacier and its transition from being a glacier with a tongue partially determined by climate to a topoclimatically determined cirque glacier. The results reveal a tongue retreat of over 5 m/yr and area losses of over 0.2 ha/yr, along with ice thickness and volume losses of −1.7 m/yr and over −21 × 103 m3/yr, respectively. If this trend continues, the tongue, and possibly the Maladeta glacier, could disappear by the end of the 2030s.

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Section: Data Acquisition Using Terrestrial Laser Scanner (Tls)mentioning

confidence: 99%

The final countdown? Monitoring the rapid shrinkage of the Maladeta glacier (2010–2020), Southern Pyrenees

Martínez‐Fernández,

Serrano,

de Sanjosé

et al. 2023

Land Degrad Dev

View full text Add to dashboard Cite

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“…PG models are also used to colorize data captured from ALS or TLS [36][37][38] and, in some cases, enhance the resolution of particular features [39]. Modern LiDAR systems such as SLAM, however, increasingly employ color capture without the use of PG [40]. Despite the advances in LiDAR, PG is still generally less expensive than other approaches and, therefore, more widely accessible.…”

Section: D Data Recordingmentioning

confidence: 99%

A Comparison of Volumetric Reconstruction Methods of Archaeological Deposits Using Point-Cloud Data from Ahuahu, Aotearoa New Zealand

et al. 2021

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Collection of 3D data in archaeology is a long-standing practice. Traditionally, the focus of these data has been visualization as opposed to analysis. Three-dimensional data are often recorded during archaeological excavations, with the provenience of deposits, features, and artefacts documented by a variety of methods. Simple analysis of 3D data includes calculating the volumes of bound entities, such as deposits and features, and determining the spatial relationships of artifacts within these. The construction of these volumes presents challenges that originate in computer-aided design (CAD) but have implications for how data are used in archaeological analysis. We evaluate 3D construction processes using data from Waitetoke, Ahuahu Great Mercury Island, Aotearoa, New Zealand. Point clouds created with data collected by total station, photogrammetry, and terrestrial LiDAR using simultaneous localization and mapping (SLAM) are compared, as well as different methods for generating surface area and volumes with triangulated meshes and convex hulls. The differences between methods are evaluated and assessed in relation to analyzing artifact densities within deposits. While each method of 3D data acquisition and modeling has advantages in terms of accuracy and precision, other factors such as data collection and processing times must be considered when deciding on the most suitable.

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“…As an example, to extract buildings within urban regions, Guo et al [9] used scans with up to 40 pts/m 2 density, though only the building boundaries benefit from such a resolution. Similar density of 40 pts/m 2 was also set to scan and analyse rockfall activity [5]; and a density of 2,000 pts/m 2 was applied to monitor Paleolithic archaeological excavations [4]. Valuable as such densities may be for the entities of interest, in natural scenes much of the recorded data relates to the surrounding surface rather than the objects of interest.…”

Section: Introductionmentioning

confidence: 99%

Content-Aware Point Cloud Simplification of Natural Scenes

Arav

Filin

Pfeifer

2022

IEEE Trans. Geosci. Remote Sensing

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Laser scanning technology is becoming ubiquitous in studies involving 3D characterizations of natural scenes, e.g., for geomorphological or archaeological interpretations. Setting the point density in such scanning campaigns is usually dictated by the objects of interest within the site yet is applied to the entire scene. Such campaigns result in large data volumes, which are difficult to analyse and where the objects of interest may be hidden in the redundant data. To reduce these excessive volumes, existing simplification strategies maintain smoothness, preserve discontinuities in the point cloud, but disregard the need to preserve detail at the regions of interest (ROI). To address that, this paper proposes a new, context-aware, subsampling approach that retains the high resolution of objects of interest while reducing the data load of less important regions. To do so, we identify the ROI by means of visual saliency measures and reduce the data volume only at the non-salient regions. To facilitate progressive subsampling the reduction is based on a hierarchical data structure that is surficial in nature. This way, the retained representative points describe the underlying surface rather than an interpolation of it. We demonstrate our proposed model on datasets originating from different scanners that feature a variety of scenes. We compare our results to three common simplification approaches. Our results show a reduced point cloud that is similar to the original and allows analysis of ROI at the required point resolution, regardless of the level of simplification.

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3D monitoring of Paleolithic archaeological excavations using terrestrial laser scanner systems (Sierra de Atapuerca, Railway Trench sites, Burgos, N Spain)

Cited by 10 publications

References 46 publications

The final countdown? Monitoring the rapid shrinkage of the Maladeta glacier (2010–2020), Southern Pyrenees

The final countdown? Monitoring the rapid shrinkage of the Maladeta glacier (2010–2020), Southern Pyrenees

A Comparison of Volumetric Reconstruction Methods of Archaeological Deposits Using Point-Cloud Data from Ahuahu, Aotearoa New Zealand

Content-Aware Point Cloud Simplification of Natural Scenes

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