Vol. 8, No. 1, 1-10, 2009

Derivation of multi-temporal soil sealing maps using high resolution Airborne Thematic Mapper (ATM) imagery and an examination of their usefulness in town planning
Wolfgang Sulzer and Katharina Kern

Abstract
The main objectives of this project are to provide time-series information to define and locate the urban sprawl trends in sealing processes in Graz/Austria and to document the application and incorporation of sealing maps into planning purposes of the municipal building authority of the city of Graz (especially for the construction and renovation of sewage systems). Developments in soil sealing are largely determined by spatial planning strategies. Unfortunately, the effects of irreplaceable soil losses are often not taken into account sufficiently. Sealing of the soil causes significant (quantitative and qualitative) changes in groundwater recharging and in the water balance. These changes have to be recognized by the governmental authorities to construct appropriate drainage systems. Especially the heavy rainfall in August 2005 with more than 120 mm per day and extreme flooding and overload of the drainage system strengthen the importance of detailed planning of urban watersheds and drainage system of the municipality Graz by means of remotely sensed generated sealing maps.

Multitemporal sealing maps were generated by a digital classification of multispectral DAEDALUS Scanner data (1996 and 2004) and used for this study. Different methodologies and approaches of data analyses and their advantages and disadvantages for further applications in water management are documented in this paper.

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History
Submitted: 12 Feb 2008
Revised: 19 Dec 2008
Accepted: 06 Jan 2009
Published: 18 Feb 2009
Responsible editor: Carsten Jürgens

Citation
Sulzer W & K Kern, 2009. Derivation of multi-temporal soil sealing maps using high resolution Airborne Thematic Mapper (ATM) imagery and an examination of their usefulness in town planning. EARSeL eProceedings, 8(1): 1-10

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EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France

   
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BIS Library and Information System, Carl von Ossietzky University of Oldenburg

 

ISSN 1729-3782