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Large-area Assessment of Impervious Surface based on Integrated Analysis of Single-date Landsat-7 Images and Geospatial Vector Data

Esch, Thomas and Himmler, Vitus and Schorcht, Gunther and Thiel, Michael and Conrad, Christopher and Wehrmann, Thilo and Bachofer, Felix and Schmidt, Michael and Dech, Stefan (2009) Large-area Assessment of Impervious Surface based on Integrated Analysis of Single-date Landsat-7 Images and Geospatial Vector Data. Remote Sensing of Environment, Vol. 113 (2009) (issue 8), pp. 1678-1690. Elsevier.

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Abstract

Driven by a constantly accelerating increase of urban population in recent decades urban sprawl has become one of the most dynamic processes in the context of global land use transformations. The expansion of urban agglomerations is closely associated with a substantial increase of impervious surface. In Europe, methods for an accurate, fast and cost-effective mapping and assessment of impervious surface on a state-wide or national scale have not been established so far. This study presents an approach for estimating the impervious surface based on a combined analysis of single-date Landsat images and road network and railway vector data using Support Vector Machines and functionalities of geographic information processing. The modeling aims at the provision of data on the impervious surface for the total of residential, industrial and transportation-related areas. The derived information is provided for the administrative units of communities. The output of the procedure is a vector data file providing the ‘percent impervious surface of built-up areas’ (PISB) and the ‘percent impervious surface of the total of built-up and transportation-related areas’ (PISBT) for the administrative units of communities. The developed method is tested for a study area covering almost one third of the German territory. The results prove the suitability of the approach for a widely automated and area-wide mapping of impervious surfaces. Using reference data sets of three cities (Leipzig, Ludwigshafen, Passau) we realized a mean absolute error of 19.8% and an average error of 6.4% for the percent impervious surface modeled on the basis of the Landsat images. The final product resulting from a combination of the imperviousness raster derived from the satellite images with the transportation-related vector information showed a mean difference of 1% to 4% compared to corresponding reference data and results of previous studies. For the year 2000 our research shows that 45.3% of the area occupied by settlements and transport infrastructure in the German federal state of Bavaria, 44.6% in the state of Baden- Württemberg and 42.6% in the state of Saxony was covered by impervious surface.

Document Type:Article
Title:Large-area Assessment of Impervious Surface based on Integrated Analysis of Single-date Landsat-7 Images and Geospatial Vector Data
Authors:
AuthorsInstitution or Email of Authors
Esch, ThomasThomas.Esch@dlr.de
Himmler, VitusVitus.Himmler@uni-wuerzburg.de
Schorcht, GuntherGunther.Schorcht@uni-wuerzburg.de
Thiel, MichaelMichael.Thiel@uni-wuerzburg.de
Conrad, ChristopherChristopher.Conrad@uni-wuerzburg.de
Wehrmann, ThiloThilo.Wehrmann@dlr.de
Bachofer, Felixfelix.bachofer@gmx.de
Schmidt, MichaelMichael.Schmidt@dlr.de
Dech, StefanStefan.Dech@dlr.de
Date:August 2009
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:Vol. 113 (2009)
Page Range:pp. 1678-1690
Publisher:Elsevier
Series Name:Elsevier Remote Sensing of Environment
Status:Published
Keywords:Urban areas, Impervious surface, Modeling, Spatial planning
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security
Deposited By: Dr.rer.nat. Thomas Esch
Deposited On:07 Jul 2009 08:22
Last Modified:26 Mar 2013 13:11

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