3D Model of the Ribo Bhumpa Gompa of Dho Tarap

As part of ongoing FWF research projects on Buddhist architecture in the Western Himalayas at Graz University of Technology, it was possible to secure significant documentation and materials relating to sacred buildings in Dolpo in Western Nepal in recent years, led by the Institute of Architectural Theory, History of Art and Cultural Studies (akk). Provoked by the outstanding performance of modern surveying technologies, a cooperation was started with our institute (Institute of Engineering Geodesy and Measurement Systems, IGMS) in order enhance existing methodologies of conventional building research by the integration of modern surveying methods, within the frame of an FWF project “Buddhist Architecture in Western Himalayas” (https://archresearch.tugraz.at/).

The aim of this interdisciplinary work was to explore significant Buddhist temple sites in Upper Dolpo, a remote area in Nepal, and to document several sites using modern 3D laser scanning technology. The derived models show a high level of detail and confidence, both from the outside and inside of the temple. Thus, they provide a solid data foundation for studying architectural connections in topologies of different sites and for further building research within the scientific community.

In order to reach a high accuracy level (within a few millimeters), the documentation strategy in the project was based on accurate laser scan data (Leica RTC360). The individual laser scans were pre-registered in the field, and afterwards post-processed in the Leica Register 360 software. The registration was based on cloud-to-cloud registrations (in order to have a high mobility in the measurement setups).

The models are given in local coordinates; however, the Y axis is roughly aligned with grid north of WGS84 (derived by handheld GPS measurements)

This DOI represents the whole dataset gathered at the site in the fieldwork in 2022/2023. An overview of the site (JPG) and a down-sampled 3D model are provided herein for general distribution in order to avoid hidden inventory and provide these data to the committed scientific community. Please contact the authors if the complete data set and/or raw data (point cloud) is required for scientific research.