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Population Exposure and Impact Assessment: Benefits of Modeling Urban Land Use in Very High Spatial and Thematic Detail

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Computational Vision and Medical Image Processing

Part of the book series: Computational Methods in Applied Sciences ((COMPUTMETHODS,volume 19))

Abstract

This paper highlights the benefits that high-level geospatial modeling of urban patterns can provide for real-world applications in the field of population exposure and impact assessment. A set of techniques is described leading to identification of functional and socioeconomic relationships in a suburban environment. Diverse high resolution remote sensing data are classified using Object-Based Image Analysis in order to derive structural land cover information. Georeferenced address data then serve as essential link between this geometric framework and ancillary space-related information such as company and census data. The final very high resolution functional population model (i.e. broken down to address-based building part objects) is consulted for exposure and impact assessments exemplarily shown in two different fictitious scenarios: (1) earthquake hazard and (2) traffic noise propagation. High-detail spatial data sets including functional and socioeconomic information as derived in this study can be of great value in disaster risk management and simulation, but also in regional and environmental planning as well as geomarketing analyses.

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Notes

  1. 1.

    http://www.disastercharter.org (last accessed January 15, 2010)

  2. 2.

    http://www.datageo.at (last accessed January 15, 2010)

  3. 3.

    http://www.soundplan.eu (last accessed January 15, 2010)

References

  1. Aubrecht, C., Steinnocher, K.: Der Übergang von Bodenbedeckung über urbane Struktur zu urbaner Funktion– Ein integrativer Ansatz von Fernerkundung und GIS. In: Schrenk, Popovich, Benedikt (eds) CORP2007: 12th International Conference on Urban Planning and Regional Development in the Information Society. Proceedings, pp.667–675(2007)

    Google Scholar 

  2. Aubrecht, C., Steinnocher, K., Hollaus, M., Wagner, W.: Integrating earth observation and GIScience for high resolution spatial and functional modeling of urban landuse. Comput. Environ. Urban Syst. 33(1), 15–25(2009)

    Article  Google Scholar 

  3. Aubrecht, C., Köstl, M., Steinnocher, K., Hackner-Jaklin, N.: Georeferenced address data: The essential link between geometric and thematic features in an Urban Data Management System. In: UDMS’09: XXVII. Urban Data Management Symposium. Proceedings. Ljubljana, Slovenia, June 24–26,2009

    Google Scholar 

  4. Balk, D.L., Deichmann, U., Yetman, G., Pozzi, F., Hay, S.I., Nelson, A.: Global mapping of infectious diseases: methods, examples and emerging applications. In: Hay, S.I., Graham, A.J., Rogers, D.J. (eds.) Advances in Parasitology, vol. 62, pp.119–156. Academic Press, London(2006)

    Google Scholar 

  5. Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I., Heynen, M.: Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS J. Photogram. Remote Sens. 58, 239–258(2004)

    Article  Google Scholar 

  6. Birkmann, J.: Risk and vulnerability indicators at different scales: Applicability, usefulness and policy implications. Environ. Hazards 7, 20–31(2007)

    Article  Google Scholar 

  7. Buehler, Y.A., Kellenberger, T.W., Small, D., Itten, K.I.: Rapid mapping with remote sensing data during flooding 2005 in Switzerland by object-based methods: A case study. In: Martin-Duque, J.F., Brebbia, C.A., Emmanouloudis, D.E., Mander, U. (eds.) Geo-Environment and Landscape Evolution II. WIT Press, Southampton, UK(2006)

    Google Scholar 

  8. Buehler, Y. A., Kellenberger, T. W.: Development of processing chains for rapid mapping with satellite data. In: Li, J., Zlatanova, S., Fabbri, A. (eds.) Geomatics Solutions for Disaster Management. Lecture Notes in Geoinformation and Cartography, pp.49–60. Springer, Berlin, Heidelberg(2007)

    Google Scholar 

  9. Chen, K.: An approach to linking remotely sensed data and areal census data. Int. J. Remote Sens. 23(1), 37–48(2002)

    Article  Google Scholar 

  10. Cutter, S.: GI science, disasters, and emergency management. Trans. GIS 7(4), 439–445(2003)

    Article  Google Scholar 

  11. Elvidge, C., Aubrecht, C., Baugh, K., Tuttle, B., Howard, A.T.: Satellite detection of power outages following earthquakes and other events. In: Third International Geohazards Workshop. Group of Earth Observations (GEO) & Integrated Global Observing Strategy (IGOS) Geohazards. Proceedings. ESA/ESRIN, Frascati (Rome), Italy, 6–9 November2007

    Google Scholar 

  12. Freire, S.: Modeling of spatio-temporal distribution of urban population at high-resolution– Value for risk assessment and emergency management. In: Konecny, M., Zlatanova, S., Bandrova, T., Friedmannova, L. (eds.) Cartography and Geoinformatics for Early Warning and Emergency Management: Towards Better Solutions. Proceedings, pp.42–50. Springer, Heidelberg(2009)

    Google Scholar 

  13. Freire, S., Aubrecht, C.: Towards improved risk assessment– Mapping spatio-temporal distribution of human exposure to earthquake hazard in Lisbon. In: Boccardo, P., etal. (eds.) Gi4DM 2010, Geomatics for Crisis Management. Proceedings, CD-Rom. Torino, Italy, 2–4 February2010

    Google Scholar 

  14. Herrera-Cruz, V., Koudogbo, F.: TerraSAR-X rapid mapping for flood events. In: ISPRS Hannover Workshop 2009: High-Resolution Earth Imaging for Geospatial Information. Hannover, Germany, 2–5 June2009

    Google Scholar 

  15. Hritonenko, N., Yatsenko, Y.: Modelling of Traffic Noise Propagation. Chapter 4.2 in Applied mathematical modelling of engineering problems, pp. 125–129. Springer, Netherlands (2003) (see http://books.google.at/books?id=3FUf81s7oSwC\&printsec=frontcover)

  16. Kressler, F., Steinnocher, K.: Object-oriented analysis of image and LiDAR data and its potential for a dasymetric mapping application. In: Blaschke, T., Lang, S., Hay, G.J. (eds.) Object-based image analysis. Spatial concepts for knowledge-driven remote sensing applications. Lecture Notes in Geoinformation and Cartography, XVIII, pp.611–624. Springer, Heidelberg(2008)

    Google Scholar 

  17. Mesev, V.: Identification and characterization of urban building patterns using IKONOS imagery and point-based postal data. Comput. Environ. Urban Syst. 29, 541–557(2005)

    Article  Google Scholar 

  18. NRC (National Research Council): Tools and Methods for Estimating Populations at Risk from Natural Disasters and Complex Humanitarian Crises. Report by the National Academy of Sciences, 264 pp. National Academy Press, Washington, DC(2007)

    Google Scholar 

  19. Steinnocher, K., Köstl, M.: Mapping urban functions by integrating socioeconomic information, address data, and remote sensing. In: 2007 Urban Remote Sensing Joint Event, Paris, France, 11–13 April2007

    Google Scholar 

  20. USGS United States Geological Survey: The severity of an earthquake. USGS General Interest Publication. http://pubs.usgs.gov/gip/earthq4/severitygip.html, last modified 04/29/2009(2009)

  21. Wald, D.J., Quitoriano, V., Heaton, T.H., Kanamori, H.: Relationships between peak ground acceleration, peak ground velocity, and modified Mercalli intensity in California. Earthquake Spectra 15(3), 557–564(1999)

    Article  Google Scholar 

  22. Wasserthal, I.: Bundesweite Umgebungslärmkartierung. 4th GeoForum MV 2008. Rostock-Warnemünde, Germany, 28–29 April2008

    Google Scholar 

  23. Willhauck, G.: Comparison of object oriented classification technique and standard image analysis for the use of change detection between SPOT multispectral satellite images and aerial photos. Int. Arch. Photogram. Remote Sens.XXXIII(Suppl B3), 35–42(2000)

    Google Scholar 

  24. Wu, Y.-M., Teng, T.-L., Shin, T.-C., Hsiao, N.-C.: Relationship between peak ground acceleration, peak ground velocity, and intensity in Taiwan. Bull. Seismol. Soc. Am. 93(1), 386–396(2003)

    Article  Google Scholar 

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Acknowledgements

The presented work was funded by the Austrian Research Promotion Agency (FFG) in the frame of the Austrian Space Applications Programme (ASAP). The ALS data was provided by the Department of Geoinformation und Real Estate of the Federal State Government of Upper Austria. The georeferenced address data was provided by Tele Atlas Austria and the demographic data was provided by Statistik Austria.

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Authors and Affiliations

  1. AIT Austrian Institute of Technology GmbH, Vienna, Austria

    Christoph Aubrecht, Mario Köstl & Klaus Steinnocher

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  1. Christoph Aubrecht
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  2. Mario Köstl
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  3. Klaus Steinnocher
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Correspondence to Christoph Aubrecht .

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Editors and Affiliations

  1. Fac. Engenharia, Lab. Engenharia de Processos,, Universidade do Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal

    João Manuel R. S. Tavares

  2. Fac. Engenharia, Lab. Engenharia de Processos,, Universidade do Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal

    R. M. Natal Jorge

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Aubrecht, C., Köstl, M., Steinnocher, K. (2011). Population Exposure and Impact Assessment: Benefits of Modeling Urban Land Use in Very High Spatial and Thematic Detail. In: Tavares, J., Jorge, R. (eds) Computational Vision and Medical Image Processing. Computational Methods in Applied Sciences, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0011-6_4

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  • DOI: https://doi.org/10.1007/978-94-007-0011-6_4

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