Volume XLI-B5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 277-280, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-277-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 277-280, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-277-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  15 Jun 2016

15 Jun 2016

POINT CLOUD MAPPING METHODS FOR DOCUMENTING CULTURAL LANDSCAPE FEATURES AT THE WORMSLOE STATE HISTORIC SITE, SAVANNAH, GEORGIA, USA

T. R. Jordana1, C. L. Goetcheus2, and M. Madden1 T. R. Jordana et al.
  • 1Center for Geospatial Research, Dept. of Geography, University of Georgia, Athens, GA USA
  • 2College of Environment and Design, University of Georgia, Athens, GA USA

Keywords: Cultural Landscape, Point Clouds, SfM, UAS

Abstract. Documentation of the three-dimensional (3D) cultural landscape has traditionally been conducted during site visits using conventional photographs, standard ground surveys and manual measurements. In recent years, there have been rapid developments in technologies that produce highly accurate 3D point clouds, including aerial LiDAR, terrestrial laser scanning, and photogrammetric data reduction from unmanned aerial systems (UAS) images and hand held photographs using Structure from Motion (SfM) methods. These 3D point clouds can be precisely scaled and used to conduct measurements of features even after the site visit has ended. As a consequence, it is becoming increasingly possible to collect non-destructive data for a wide variety of cultural site features, including landscapes, buildings, vegetation, artefacts and gardens. As part of a project for the U.S. National Park Service, a variety of data sets have been collected for the Wormsloe State Historic Site, near Savannah, Georgia, USA. In an effort to demonstrate the utility and versatility of these methods at a range of scales, comparisons of the features mapped with different techniques will be discussed with regards to accuracy, data set completeness, cost and ease-of-use.