Towards a Large-Scale 3D Modeling of the Built Environment—Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data

• Published in: Remote sensing (Basel, Switzerland) Vol. 12; no. 15; p. 2391
• Main Authors: Esch, Thomas, Zeidler, Julian, Palacios-Lopez, Daniela, Marconcini, Mattia, Roth, Achim, Mönks, Milena, Leutner, Benjamin, Brzoska, Elisabeth, Metz-Marconcini, Annekatrin, Bachofer, Felix, Loekken, Sveinung, Dech, Stefan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2020
• Subjects: Accuracy; Automation; building model; Buildings; Built environment; built-up density; Climate change; Construction; Data analysis; Digital Elevation Models; Digital imaging; Dimensional analysis; Earth observations (from space); Elevation; Environment models; Footprints; global; Human settlements; Land settlement; Mapping; Microprocessors; Modules; Morphology; Population; Radar; Radar imaging; Remote sensing; Satellite observation; Satellites; Spatial discrimination; Spatial resolution; TanDEM-X; TerraSAR-X; Three dimensional models; Urban areas; Urban environments; United States > US
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs12152391

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.