Abstract

Continental to global scale mapping of the human settlement extent based on earth observation satellite data has made considerable progress. Nevertheless, the current approaches only provide a two-dimensional representation of the built environment. Therewith, a full characterization is restricted in terms of the urban morphology and built-up density, which can only be gained by a detailed examination of the vertical settlement extent. This paper introduces a methodology for the extraction of three-dimensional (3D) information on human settlements by analyzing the digital elevation and radar intensity data collected by the German TanDEM-X satellite mission in combination with multispectral Sentinel-2 imagery and data from the Open Street Map initiative and the Global Urban Footprint human settlement mask. The first module of the underlying processor generates a normalized digital surface model from the TanDEM-X digital elevation model for all regions marked as a built-up area by the Global Urban Footprint. The second module generates a building mask based on a joint processing of Open Street Map, TanDEM-X/TerraSAR-X radar images, the calculated normalized digital surface model and Sentinel-2 imagery. Finally, a third module allocates the local relative heights of the normalized digital surface model to the building structures provided by the building mask. The outcome of the procedure is a 3D map of the built environment showing the estimated local height for all identified vertical building structures at 12 m spatial resolution. The results of a first validation campaign based on reference data collected for the seven cities of Amsterdam (NL), Indianapolis (US), Kigali (RW), Munich (DE), New York (US), Vienna (AT), and Washington (US) indicate the potential of the proposed methodology to accurately estimate the distribution of building heights within the built-up area.

Highlights

  • Global urbanization poses a considerable challenge to the goal of sustainable urban development

  • In terms of the building heights (BHs), the results show that the mean error (ME) between the estimated heights and the real heights ranges from 0.01 m for Munich to 3.32 m for Amsterdam, indicating a tendency towards a systematic overestimation of the height values at the pixel level

  • In this paper, the Global Urban Footprint 3D (GUF-3D) processing framework was introduced and validated for seven city regions. This modular workflow includes the rule-based analysis of TanDEM-X digital elevation (TDX-digital elevation model (DEM)) and radar amplitude data (TDX-AMP) in combination with auxiliary layers such as building outlines derived from Open Street Map (OSM), a vegetation mask generated based on Sentinel-2 imagery, and a global map of human settlements defined by the Global Urban Footprint (GUF)

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Summary

Introduction

Global urbanization poses a considerable challenge to the goal of sustainable urban development. Any detailed and effective examinations of the built-up environment in terms of the volume or floor space (as the optimal measure for built-up density), urban morphology, or population distribution, inevitably require the consideration of the vertical dimension In this context, precise studies on the three-dimensional (3D) extent of urban structures at the level of single cities have been frequently reported in recent years, with many approaches relying on digital elevation data derived from very high-resolution aerial and satellite imagery or airborne light detection and ranging (LiDAR) data [16,17,18,19,20,21].

Three-Dimensional Analysis of the Built-Up Area
Input Data Sources
Estimation of Building Heights
Identification of Building Structures
Assignment of Building Heights
Results
Conclusions and Outlook
Full Text
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