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Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung Folie 1 DER UMWELT CAMPUS BIRKENFELD ISS Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung Radar Backscatter and Coherence Information supporting high Quality Urban Mapping - case study: sealed area mapping in the city of Mainz/Rhine - Fischer, P. (1) ; Perski, Z. ( 2) ; Wannemacher, S. (1) (1) University of Applied Sciences Trier Informatics Department P.O.B. 1380, D – 55761 Birkenfeld [email protected] (2) University of Silesia Faculty of Earth Sciences Bedzinska 60, PL 41-200 Sosnowiec [email protected]

Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung Folie 1 DER UMWELT CAMPUS BIRKENFELD ISS Institut für Softwaresysteme in Wirtschaft,

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Page 1: Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung Folie 1 DER UMWELT CAMPUS BIRKENFELD ISS Institut für Softwaresysteme in Wirtschaft,

Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung Folie 1

DER UMWELT CAMPUSBIRKENFELD

ISS Institut für Softwaresystemein Wirtschaft, Umwelt und Verwaltung

Radar Backscatter and Coherence Information supporting high Quality Urban Mapping

- case study: sealed area mapping in the city of Mainz/Rhine -

Fischer, P. (1); Perski, Z.( 2); Wannemacher, S. (1)

(1)University of Applied Sciences Trier

Informatics Department

P.O.B. 1380, D – 55761 Birkenfeld

[email protected]

(2)University of Silesia

Faculty of Earth Sciences

Bedzinska 60, PL 41-200 Sosnowiec

[email protected]

Page 2: Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung Folie 1 DER UMWELT CAMPUS BIRKENFELD ISS Institut für Softwaresysteme in Wirtschaft,

Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung Folie 2

DER UMWELT CAMPUSBIRKENFELD

Integration of EO- / GeoData

Data integration is a key issue in environmental monitoring systems

With the availability of high quality GIS-data we are able to use it for a fine tuning of the algorithms in our thematic processors

The solution proposed is based on an integrated analysis of multitemporal multisensor data (IKONOS multispectral- and ERS-SAR data from tandem acquisitions)

After pre-processing each set separately (NDVI, average intensity, coherence) a pixel-based classification of the sealing information was done for each thematic layer (winter / late spring acquisitions)

The classification process was done based on masked regions defined by the ATKIS object classes (e.g. settlement, forests, agricultural areas)

Sealed areas were finally detected on a pixel based map overlay process including the pre-processed data

Page 3: Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung Folie 1 DER UMWELT CAMPUS BIRKENFELD ISS Institut für Softwaresysteme in Wirtschaft,

Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung Folie 3

DER UMWELT CAMPUSBIRKENFELD

Results: Sealed Area Mapping

IKONOS – Multispectral Interferometric Signatures ATKIS – High level objects

Map Overlay Algorithm

• Due to the medium resolution but also due to double bounce scattering and corner reflections ERS-SAR with low potential in detailed urban mapping of sealed areas

• Backscatter and coherence information with a higher sensitivity in rural regions