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Derivation of urban objects and their attributes for large-scale urban areas based on very high resolution UltraCam true orthophotos and nDSM: a case study Berlin, Germany

Poznanska, Anna Maria and Bayer, Steven and Bucher, Tilman (2013) Derivation of urban objects and their attributes for large-scale urban areas based on very high resolution UltraCam true orthophotos and nDSM: a case study Berlin, Germany. In: Proceedings of SPIE, 8193 (03), 0301-0313. SPIE Conference 8893, Earth Resources and Environmental Remote Sensing/GIS Applications, 23.-25. Sep. 2013, Dresden, Deuitschland. ISBN 9780819497635. ISSN 0277-786X.

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Official URL: http://dx.doi.org/10.1117/12.2030000


The development of automatic extraction methods for urban building and vegetation objects and the realization on a large urban data set have been accomplished within the project ‘Derivation of Building- and Vegetation Heights and Structures in Berlin’. This project was executed on behalf of the Senate Department for Urban Development and Environment of the City of Berlin. As input an UltraCamX dataset consisting of the true ortho mosaic with four spectral channels and the normalized digital surface model (nDSM) with 30cm resolution were used. The size of the area adds up to about 450 km². For the delineation of roof tiles additional slope and aspect layers were created. The workflow was developed in eCognition for automatic extraction of elevated urban objects and their height structures. Additionally we used focal statistics in ArcGIS to extend the workflow for the extraction of single tree crowns, since detailed information about the correct position and number of urban trees is relevant and completes the urban geo database. In this way a unique, complete and extensive workflow for an automatic urban objects extraction arises. Within the project methods for robust extraction of buildings with roof tiles as well as vegetation were applied. Greened roofs are automatically extracted and assigned to the class buildings. Furthermore building tiles which are located under trees are extracted by the intersection with the cadastral building data. For the transferability of the complete rule set a multi-layered workflow consisting of automated data import and export, iterating segmentation methods and fuzzy classification as well as object reshaping was developed and applied. The methods are transferable and effectively operate on large data sets. As results complete layers with building and vegetation shapes including single tree tops and crown outlines with comprehensive attributes like height and area are derived. The accuracies are in the range of 85 % (trees) to 95 % (buildings). The shapes primarily serve as input for a complex urban-specific climate model, which also takes the morphology of hinterlands into account. In addition this data can be used as a basis for a variety of urban planning tasks e.g. for modeling of noise pollution, the estimation of urban structure types, for town- or green space planning. They are a suitable basis for supplementing and upgrading of the official cadastral database, even though certain restrictions concerning the accuracies exist. Furthermore the object shapes are suitable for visualization tasks.

Item URL in elib:https://elib.dlr.de/88435/
Document Type:Conference or Workshop Item (Speech)
Title:Derivation of urban objects and their attributes for large-scale urban areas based on very high resolution UltraCam true orthophotos and nDSM: a case study Berlin, Germany
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Poznanska, Anna Mariaanna-maria.poznanska (at) dlr.deUNSPECIFIED
Bayer, Stevensteven.bayer (at) fu-berlin.deUNSPECIFIED
Bucher, Tilmantilman.bucher (at) dlr.deUNSPECIFIED
Journal or Publication Title:Proceedings of SPIE
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:0301-0313
EditorsEmailEditor's ORCID iD
Nikolakopoulos, Konstantinos G.UNSPECIFIEDUNSPECIFIED
Series Name:Proceedings SPIE
Keywords:urban remote sensing, building and roof extraction, single tree detection, tree crown delineation, object based classification, very high spatial resolution data, large data handling
Event Title:SPIE Conference 8893, Earth Resources and Environmental Remote Sensing/GIS Applications
Event Location:Dresden, Deuitschland
Event Type:international Conference
Event Dates:23.-25. Sep. 2013
Organizer:SPIE - The International Society for Optical Engineering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Optical Technologies and Applications
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems
Institute of Optical Sensor Systems > Security Research and Applications
Deposited By: Bucher, Tilman
Deposited On:10 Mar 2014 07:16
Last Modified:31 Jul 2019 19:45

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