Volume 58, Issue 1 pp. 77-93
Original Article

Capturing spatial patterns of rural landscapes with point cloud

Chen Yang

Chen Yang

Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, 1239 Siping Road, Shanghai, 200092 China

Search for more papers by this author
Feng Han

Corresponding Author

Feng Han

Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, 1239 Siping Road, Shanghai, 200092 China

Corresponding author. Email: [email protected]Search for more papers by this author
Leigh Shutter

Leigh Shutter

Griffith Architecture and Design, School of Engineering and Built Environment, Griffith University, Gold Coast Campus, Parklands Drive, Southport, Queensland, 4222 Australia

Search for more papers by this author
Hangbin Wu

Hangbin Wu

College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092 China

Search for more papers by this author
First published: 30 October 2019
Citations: 2

Abstract

Over the past few decades, rural landscapes have been the subject of increasing international cultural heritage research, and one of the most important issues under investigation at both theoretical and pragmatic levels concerns how to identify the spatial character of rural landscapes for conservation purposes. This article establishes an innovative approach adopting a cultural landscape perspective with the support of point cloud technologies to capture spatial patterns of rural landscapes. This approach was explored by reference to Tunpu villages in Guizhou, China—these being a specific kind of military fortress settlement. Cultural landscape values and landscape characters of Tunpu villages were identified using historical research and document analysis. Aerial and terrestrial photogrammetry and laser scanning systems were combined to collect and process spatial information at environmental, village, and architectural scales. Point cloud models can quantitatively represent villages' spatial patterns and inform the interpretation of their heritage significance. We conclude that the strengths of point cloud technologies could meet the requirements of rural landscape heritage documentation from a cultural landscape perspective. This mixed-technology approach could also greatly improve the efficiency and precision of traditional rural landscape documentation, which has the potential to change methodologies applied to rural landscape research and management.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.