Volume XLII-2/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W5, 245-251, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W5-245-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W5, 245-251, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W5-245-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  18 Aug 2017

18 Aug 2017

EFFECTIVE DETECTION OF SUB-SURFACE ARCHEOLOGICAL FEATURES FROM LASER SCANNING POINT CLOUDS AND IMAGERY DATA

A. Fryskowska, M. Kedzierski, P. Walczykowski, D. Wierzbicki, P. Delis, and A. Lada A. Fryskowska et al.
  • Department of Remote Sensing Photogrammetry and Imagery Intelligence, Institute of Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology, 2 gen. S. Kaliskiego st., 00-908 Warsaw, Poland

Keywords: point cloud, laser scanning, extraction, mapping, settlement, sub-surface feature

Abstract. 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.