Next Article in Journal
A Novel Absolute Orientation Method Using Local Similarities Representation
Next Article in Special Issue
Analysing the Effects of Flood-Resilience Technologies in Urban Areas Using a Synthetic Model Approach
Previous Article in Journal
Design and Implementation of a Robust Decision Support System for Marine Space Resource Utilization
Previous Article in Special Issue
A Supervised Approach to Delineate Built-Up Areas for Monitoring and Analysis of Settlements
Article Menu

Export Article

Open AccessArticle

A Workflow for Automatic Quantification of Structure and Dynamic of the German Building Stock Using Official Spatial Data

Leibniz Institute of Ecological Urban and Regional Development, Weberplatz 1, Dresden 01217, Germany
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(8), 142;
Received: 18 May 2016 / Revised: 25 July 2016 / Accepted: 29 July 2016 / Published: 9 August 2016
PDF [6120 KB, uploaded 9 August 2016]


Knowledge of the German building stock is largely based on census data and annual construction statistics. Despite the wide range of statistical data, they are constrained in terms of temporal, thematic and spatial resolution, and hence do not satisfy all requirements of spatial planning and research. In this paper, we describe a new workflow for data integration that allows the quantification of the structure and dynamic of national building stocks by analyzing authoritative geodata. The proposed workflow has been developed, tested and demonstrated exemplarily for the whole country of Germany. We use nationwide and commonly available authoritative geodata products such as building footprint and address data derived from the real estate cadaster and land use information from the digital landscape model. The processing steps are (1) data preprocessing; (2) the calculation of building attributes; (3) semantic enrichment of the building using a classification tree; (4) the intersection with spatial units; and finally (5) the quantification and cartographic visualization of the building structure and dynamic. Applying the workflow to German authoritative geodata, it was possible to describe the entire building stock by 48 million polygons at different scale levels. Approximately one third of the total building stock are outbuildings. The methodological approach reveals that 62% of residential buildings are detached, 80% semi-detached and 20% terraced houses. The approach and the novel database will be very valuable for urban and energy modeling, material flow analysis, risk assessment and facility management. View Full-Text
Keywords: building stock; building classification; authoritative geodata building stock; building classification; authoritative geodata

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Hartmann, A.; Meinel, G.; Hecht, R.; Behnisch, M. A Workflow for Automatic Quantification of Structure and Dynamic of the German Building Stock Using Official Spatial Data. ISPRS Int. J. Geo-Inf. 2016, 5, 142.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top