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Article

Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study

1
Leibniz Institute of Ecological Urban and Regional Development, Weberplatz 1, 01217 Dresden, Germany
2
Institute for Cartography, Technische Universität Dresden, 01076 Dresden, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Giuseppe Borruso, Ginevra Balletto, Michele Campagna, Andrea Favretto, Giovanni Mauro, Beniamino Murgante and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(5), 353; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050353
Received: 19 March 2021 / Revised: 11 May 2021 / Accepted: 14 May 2021 / Published: 20 May 2021
(This article belongs to the Special Issue Geo-Information Science in Planning and Development of Smart Cities)
Urban Growth Boundary (UGB) is a growth management policy that designates specific areas where growth should be concentrated in order to avoid urban sprawl. The objective of such a boundary is to protect agricultural land, open spaces and the natural environment, as well as to use existing infrastructure and public services more efficiently. Due to the inherent heterogeneity and complexity of settlements, UGBs in Germany are currently created manually by experts. Therefore, every dataset is linked to a specific area, investigation period and dedicated use. Clearly, up-to-date, homogeneous, meaningful and cost-efficient delineations created automatically are needed to avoid this reliance on manually or semi-automatically generated delineations. Here, we present an aggregative method to produce UGBs using building footprints and generally available topographic data as inputs. It was applied to study areas in Frankfurt/Main, the Hanover region and rural Brandenburg while taking full account of Germany’s planning and legal framework for spatial development. Our method is able to compensate for most of the weaknesses of available UGB data and to significantly raise the accuracy of UGBs in Germany. Therefore, it represents a valuable tool for generating basic data for future studies. Application elsewhere is also conceivable by regionalising the employed parameters. View Full-Text
Keywords: urban growth boundary (UGB); spatial planning; GIS; rural–urban; clustering algorithms urban growth boundary (UGB); spatial planning; GIS; rural–urban; clustering algorithms
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    Doi: 10.26084/IOERFDZ-SOFT-001
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MDPI and ACS Style

Harig, O.; Hecht, R.; Burghardt, D.; Meinel, G. Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study. ISPRS Int. J. Geo-Inf. 2021, 10, 353. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050353

AMA Style

Harig O, Hecht R, Burghardt D, Meinel G. Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study. ISPRS International Journal of Geo-Information. 2021; 10(5):353. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050353

Chicago/Turabian Style

Harig, Oliver, Robert Hecht, Dirk Burghardt, and Gotthard Meinel. 2021. "Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study" ISPRS International Journal of Geo-Information 10, no. 5: 353. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050353

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