Semi-automatic detection of burial mounds in forested areas

2019

LIDAR-Daten bieten einen neuartigen Ansatz zur Lokalisierung und Uberwachung des kulturellen Erbes in der Landschaft, insbesondere in schwierig zu erreichenden Gebieten, wie im Wald, im unwegsamen Gelande oder in sehr abgelegenen Gebieten. Die manuelle Lokalisation und Kartierung von archaologischen Informationen einer Kulturlandschaft ist in der herkommlichen Herangehensweise eine sehr zeitaufwandige Aufgabe des Fundstellenmanagements (Cultural Heritage Management). Um die Moglichkeiten in der Erkennung und bei der Verwaltung des kulturellem Erbes zu verbessern und zu erganzen, konnen computergestutzte Verfahren einige neue Losungsansatze bieten, die daruber hinaus sogar die Identifizierung von fur das menschliche Auge bei visueller Sichtung nicht erkennbaren Details ermoglichen. Aus archaologischer Sicht ist die vorliegende Dissertation dadurch motiviert, dass sie LIDAR-Gelandemodelle mit archaologischen Befunden durch automatisierte und semiautomatisierte Methoden zur Identifizie...

From Space to Place. 2nd International Conference on Remote Sensing in Archaeology (eds. Campana, S. og M. Forte). , 2006

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017

The archaeological heritage is non-renewable, and any invasive research or other actions leading to the intervention of mechanical or chemical into the ground lead to the destruction of the archaeological site in whole or in part. For this reason, modern archeology is looking for alternative methods of non-destructive and non-invasive methods of new objects identification. The concept of aerial archeology is relation between the presence of the archaeological site in the particular localization, and the phenomena that in the same place can be observed on the terrain surface form airborne platform. One of the most appreciated, moreover, extremely precise, methods of such measurements is airborne laser scanning. In research airborne laser scanning point cloud with a density of 5 points/sq. m was used. Additionally unmanned aerial vehicle imagery data was acquired. Test area is located in central Europe. The preliminary verification of potentially microstructures localization was the creation of digital terrain and surface models. These models gave an information about the differences in elevation, as well as regular shapes and sizes that can be related to the former settlement/sub-surface feature. The paper presents the results of the detection of potentially sub-surface microstructure fields in the forestry area.

Semi-automated approaches to archaeological feature detection can be invaluable aids to the investigation of high resolution, large area archaeological prospection datasets. In order to obtain stable and reliable classification results, however, the application of pre-processing steps to digital terrain data is needed. This study examines semi-automated approaches to identification of archaeological features through a comparison of pixel-based and object-oriented data classification methods for archaeological feature detection in visualizations derived from high-resolution airborne laser scanning data. In doing so, openness is presented as a suitable visualization for feature detection due to its illumination-invariant representation of convexity and concavity in terrain data. The methodology of both pixel-based and object-oriented data classification approaches is described and applied to two datasets recorded over two archeological case study areas in Sweden and Austria. The diverse nature of the two datasets makes them ideal with regard to determining the robustness of the approaches discussed here. The obtained results are exported to a GIS environment and compared with manual visual interpretations and analyzed in terms of their accuracy. Therefore, this paper presents both a discussion regarding the merits of pixel- and object-based semi-automated classification strategies with regard to archaeological prospection data as well as practical examples of their implementation and results.

Sensing the Past, 2017

Remote sensing technologies have helped to revolutionize archaeology. LiDAR (light detection and ranging), a remote sensing technology in which lasers are used as topographic scanners that can penetrate foliage, has particularly influenced researchers in the field of settlement or landscape archaeology. LiDAR provides detailed landscape data for broad spatial areas and permits visualization of these landscapes in ways that were never before possible. These data and visualizations have been widely utilized to gain a better understanding of historical landscapes and their past uses by ancient peoples.

Remote Sensing, 2020

This paper gives a presentation of how airborne laser scanning (ALS) has been adopted in archaeology in the North over the period 2005-2019. Almost two decades have passed since ALS first emerged as a potential tool to add to the archaeologist's toolbox. Soon after, it attracted the attention of researchers within archaeological communities engaged with remote sensing in the Fenno-Scandinavian region. The first archaeological ALS projects gave immediate good results and led to further use, research, and development through new projects that followed various tracks. The bulk of the research and development focused on studying how well-suited ALS is for identifying, mapping, and documenting archaeological features in outfield land, mainly in forested areas. The poor situation in terms of lack of information on archaeological records in outfield areas has been challenging for research and especially for cultural heritage management for a long period of time. Consequently, an obvious direction was to study how ALS-based mapping of cultural features in forests could help to improve the survey situation. This led to various statistical analyses and studies covering research questions related to for instance effects on detection success of laser pulse density, and the size and shape of the targeted features. Substantial research has also been devoted to the development and assessment of semi-automatic detection of archaeological features based on the use of algorithms. This has been studied as an alternative approach to human desk-based visual analyses and interpretations of ALS data. This approach has considerable potential for detecting sites over large regions such as the vast roadless and unbuilt wilderness regions of northern Fennoscandia, and has proven highly successful. In addition, the current review presents how ALS has been employed for monitoring purposes and for landscape studies, including how it can influence landscape understanding. Finally, the most recent advance within ALS research and development has been discussed: testing of the use of drones for data acquisition. In conclusion, aspects related to the utilization of ALS in archaeological research and cultural heritage management are summarized and discussed, together with thoughts about future perspectives.

Remote Sensing, 2021

Open access airborne laser scanning (ALS) data have been available in Finland for over a decade and have been actively applied by the Finnish archaeologists in that time. The low resolution of this laser scanning 2008–2019 dataset (0.5 points/m2), however, has hindered its usability for archaeological prospection. In the summer of 2020, the situation changed markedly, when the Finnish National Land Survey started a new countrywide ALS survey with a higher resolution of 5 points/m2. In this paper we present the first results of applying this newly available ALS material for archaeological studies. Finnish LIDARK consortium has initiated the development of semi-automated approaches for visualizing, detecting, and analyzing archaeological features with this new dataset. Our first case studies are situated in the Alpine tundra environment of Sápmi in northern Finland, and the assessed archaeological features range from prehistoric sites to indigenous Sámi reindeer herding features and S...

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B5, 2016

This paper deals with the non-destructive documentation of the "Radkov" (Svitavy district, Czech Republic) archaeological site. ALS, GPR and land survey mapping will be used for the analysis. The fortified hilltop settlement "Radkov" is an immovable historical monument with preserved relics of anthropogenic origin in relief. Terrain reconnaissance can identify several accentuated objects on site. ALS enables identification of poorly recognizable archaeological objects and their contexture in the field. Geophysical survey enables defunct objects identification. These objects are hidden below the current ground surface and their layout is crucial. Land survey mapping provides technical support for ALS and GPR survey. It enables data georeferencing in geodetic reference systems. GIS can then be used for data analysis. M. Cejpová and J. Němcová have studied this site over a long period of time. In 2012 Radkov was surveyed using ALS in the project "The Research of Ancient Road in Southwest Moravia and East Bohemia". Since 2015 the authors have been examining this site. This paper summarises the existing results of the work of these authors. The digital elevation model in the form of a grid (GDEM) with a resolution 1 m of 2012 was the basis for this work. In 2015 the survey net, terrain reconnaissance and GPR survey of two archaeological objects were done at the site. GDEM was compared with these datasets. All datasets were processed individually and its results were compared in ArcGIS.

Archaeological Prospection, 2024

In the last two decades, the analysis of data derived from LiDAR (light detection and ranging) technology has dramatically changed the investigation and documentation of past cultural landscapes, sometimes revealing monumental architectures and settlement systems totally unknown before. Despite the exponential uptick of case studies, an extensive review of LiDAR applications in archaeology is so far missing. Here, we present a systematic survey of works published in international journals in 2001–2022, with the aim of providing an annotated bibliography on the theme and collect quantitative information about each case study. Data collected allowed to analyse the geographic distribution of LiDAR-based studies, the specifics of acquisitions, the topography and vegetation cover of each study area, the characteristics of the material culture detected, major goals and integrated techniques. The survey considers 291 studies, of which 167 located in Europe, 104 in the Americas and only 20 between Asia, Middle East, Oceania and Africa. Our analysis shows that the impact of LiDAR in archaeological studies was greater in some areas of Europe and North America, where scholars could rely on the availability of open data provided by the institutions. This is testified by the higher number of both case studies and large-scale projects investigating these regions. It also emerges that LiDAR potential largely depends on the characteristics of the material culture, the vegetation cover and data resolution. These factors underlie the outstanding results achieved through LiDAR in tropical rainforests compared to those obtained in temperate areas, such as the Mediterranean, where the outcropping archaeological evidence, albeit vast and widespread, is generally less preserved and obscured by the dense vegetation of the Mediterranean maquis. We conclude that the increasing availability of LiDAR data over vast areas could lead to enormous advances in the investigation, monitoring and protection of the cultural heritage.