A Supervised Approach to Delineate Built-Up Areas for Monitoring and Analysis of Settlements

Harig, Oliver; Burghardt, Dirk; Hecht, Robert

doi:10.3390/ijgi5080137

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…The previous study by Harig et al [79], which dealt with the automated delineation of built-up areas based on topographic data in Germany, used given EDs to calibrate the delineation algorithm [79]. However, this presupposes the existence of this geometry and severely limits its applicability.…”

Section: Discussionmentioning

confidence: 99%

“…The source code presented in this study is openly available at https: //doi.org/10.26084/IOERFDZ-SOFT-001 (accessed on 18 March 2021) [124].…”

Section: Data Availability Statementmentioning

confidence: 99%

“…De Bellefon et al calculated a raster from building footprint densities, from which they derived urban areas [78]. Harig et al presented a method that used a supervised parameter optimisation along with a buffer-based method to assess the quality of the delineation [79]. This approach was developed and evaluated in terms of its potential use in the spatial sciences to monitor built-up areas at a very fine-grained level.…”

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confidence: 99%

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

Harig

Hecht

Burghardt

et al. 2021

IJGI

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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.

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Section: Discussionmentioning

confidence: 99%

“…The source code presented in this study is openly available at https: //doi.org/10.26084/IOERFDZ-SOFT-001 (accessed on 18 March 2021) [124].…”

Section: Data Availability Statementmentioning

confidence: 99%

mentioning

confidence: 99%

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

Harig

Hecht

Burghardt

et al. 2021

IJGI

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“…A further improvement of the GIS-based approach could be achieved by using refined settlement boundaries instead of the given ATKIS feature type Ortslage from ATKIS. These boundaries can be extracted, for example, by using the automatic approach from Harig et al (2016) that takes into account urban morphology (buildings and road network).…”

Section: Monitoringmentioning

confidence: 99%

Urban infill development potential in Germany: comparing survey and GIS data

Schiller

Blum

Hecht

et al. 2021

Buildings and Cities

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Limiting land take is an important sustainability target. To this end, infill development is a primary strategy. To implement this strategy, policy-makers need a reliable knowledge base on infill development potential (IDP), such as brownfields, vacant lots and underused lots. This study presents the results of the first comprehensive national survey of IDP in Germany. Almost 12% of German municipalities were contacted by questionnaire. In contrast to previous studies, this study also takes into account smaller towns and small-scale vacant lots, which would otherwise lead to a considerable underestimation. Additionally, a feasibility study shows how IDPs can be identified using a geospatial approach. Here, a procedure is presented that allows the identification of IDPs and the differentiation between vacant and underused lots by analysing urban morphology using nationwide and commonly available geospatial base data. The results provide a good basis for an initial inventory. However, to obtain more accurate results, additional specific data would be required, the accessibility of which is currently limited. With the development of an improved spatial data infrastructure combined with Open Data initiatives, geographical information system (GIS)-based procedures for the automated detection and monitoring of IDPs could become more important in future. POLICY RELEVANCE If the objectives of land policy, especially the avoidance of urban sprawl, are to be achieved, then the more efficient use of already developed land is essential. At the strategic level of policy development, knowledge of land suitable for infill development is as necessary as knowledge of the land take. Currently, regular standardised questionnaire GEORG SCHILLER ANDREAS BLUM ROBERT HECHT HOLGER OERTEL UWE FERBER GOTTHARD MEINEL

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The Urban Mask Layer as Reference Geometry for Spatial Planning: Moving from German to European Geodata

Schumacher

2021

KN J. Cartogr. Geogr. Inf.

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In view of rising urbanisation around the world, it is vital to improve the analysis and evaluation of spatial settlement structures in order to ensure the sustainable design of associated transformation processes. Geodata and the maps derived from urban datasets can contribute significantly to understanding the characteristics of settlement structures. In this context, urban areas with a concentration of settlement elements form an important reference geometry. In Germany, such an urban mask is termed Ortslage and is included as an object type in the official topographical basic geodata (ATKIS). It would be useful to have a similar urban mask at European level, especially as a layer of the Urban Atlas within the framework of the Copernicus Land Monitoring Service. Here we present a GIS-supported algorithm to generate such a layer from Urban Atlas data. The method is demonstrated on 30 European cities showing a wide range of urban structures. Further, we compare the physical shape of the Ortslage with the urban mask, here illustrated by the city of Leipzig, Germany. As a basic example of the planning relevance of this method, we consider and discuss the metric shape complexity of the urban space for the cartographic comparison of cities. Furthermore, we address the question of a mixed automated-manual technology in the delineation of the urban mask. The regular updating of the Urban Atlas data within the framework of the Copernicus Land Monitoring Service opens up the possibility of integrating analyses based on the urban masks into the European Spatial Observation.

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A Supervised Approach to Delineate Built-Up Areas for Monitoring and Analysis of Settlements

Cited by 6 publications

References 23 publications

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

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

Urban infill development potential in Germany: comparing survey and GIS data

The Urban Mask Layer as Reference Geometry for Spatial Planning: Moving from German to European Geodata

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