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THE EFFECTIVE APPLICATION OF GEOSPATIAL DATA IN FLOOD HAZARD AND RISK MAPS CREATION

Bakula, Krzysztof

First published: 2013-06-20https://doi.org/10.5593/sgem2013/bc3/s12.048View metrics

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  • Citations
  • CrossRef - Citation Indexes: 1
  • Scopus - Citation Indexes: 1
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  • Mendeley - Readers: 11

Publication details

Title
THE EFFECTIVE APPLICATION OF GEOSPATIAL DATA IN FLOOD HAZARD AND RISK MAPS CREATION
Authors
Bakula, Krzysztof
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 13th SGEM GeoConference on WATER RESOURCES. FOREST, MARINE AND OCEAN ECOSYSTEMS
Publisher
Stef92 Technology
Year
2013
Pages
381 - 388 pp
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
References24
  1. Antonarakis, A. S., Richards, K. S. & Brasington, J. Object-based land cover classification using airborne LiDAR, Remote Sensing of Environment, vol. 112 (6), pp. 2988-2998, 2008;

  2. Bakuła, K . Reduction of DTM obtained from LiDAR data for flood modeling, Archives of Photogrtammetry, Cartography and Remote Sensing, vol. 22, pp. 51-61, 2011;

  3. Casas, A., Lane, S., Yu, D. & Benito, G. A method for parametrising roughness and topographic sub-grid scale effects in hydraulic modelling from LiDAR data, Hydrology and Earth System Sciences , vol. 14, pp. 1567 – 1579, 2010;

  4. EXCIMAP - European Exchange Circle on Flood Mapping. Handbook on good practice on flood mapping in Europe. Ministry of Transport, Public Works and Water Management, The Netherlands, 2007;

  5. Forzieri, G., Degetto, M., Righetti, M., Castelli, F. & Preti, F. Satellite multispectral data for improved floodplain roughness modelling, Journal of Hydrology, 407, pp. 41-57. 2011;

  6. Forzieri, G., Guarnieri, L., Vivoni, E. R., Castelli, F. & Preti, F. Spectral-ALS data fusion for different roughness parametrizations of forested floodplains, River Research and Appllications, vol. 27, pp. 826 – 840, 2011;

  7. Geerling, G. W., Vreeken-Buijs, M. J., Jesse, P., Ragas, A. M. & Smith, A. Mapping river floodplain ecotopes by segmentation of spectral (CASI) and structural (LiDAR) remote sensing data, River Research and Application, 25 (7), pp. 795-813, 2009;

  8. Kurczyński, Z. Aerial and satellite imagery of Earth. Publishing House of the Warsaw University of Technology, Warsaw, 2006;

  9. Mandlburger, G., Hauer, C., Höfle, B., Habersack, H. & Pfeifer, N. Optimisation of LiDAR derived terrain models for river flow modelling, Hydrology and Earth System Sciences, vol. 5, pp. 3605-3638, 2008;

  10. Official Journal of the European Union. Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks, L 288/27, 2007

  11. Straadsma, M. & Huthoff, F. Uncertainty in 2D hydrodynamic models from errors in roughness parametrization based on aerial images, Physics and Chemistry of the Earth, 36, pp. 324-334, 2011;

  12. Straatsma, M. & Baptist, M. Floodplain roughness parametrization using airborne laser scanning and spectral remote sensing. Remote Sensing and Environment, 112, pp. 1062-1080, 2008.

  13. Antonarakis, A. S., Richards, K. S. & Brasington, J. Object-based land cover classification using airborne LiDAR, Remote Sensing of Environment, vol. 112 (6), pp. 2988-2998, 2008;

  14. Bakuła, K . Reduction of DTM obtained from LiDAR data for flood modeling, Archives of Photogrtammetry, Cartography and Remote Sensing, vol. 22, pp. 51-61, 2011;

  15. Casas, A., Lane, S., Yu, D. & Benito, G. A method for parametrising roughness and topographic sub-grid scale effects in hydraulic modelling from LiDAR data, Hydrology and Earth System Sciences , vol. 14, pp. 1567 – 1579, 2010;

  16. EXCIMAP - European Exchange Circle on Flood Mapping. Handbook on good practice on flood mapping in Europe. Ministry of Transport, Public Works and Water Management, The Netherlands, 2007;

  17. Forzieri, G., Degetto, M., Righetti, M., Castelli, F. & Preti, F. Satellite multispectral data for improved floodplain roughness modelling, Journal of Hydrology, 407, pp. 41-57. 2011;

  18. Forzieri, G., Guarnieri, L., Vivoni, E. R., Castelli, F. & Preti, F. Spectral-ALS data fusion for different roughness parametrizations of forested floodplains, River Research and Appllications, vol. 27, pp. 826 – 840, 2011;

  19. Geerling, G. W., Vreeken-Buijs, M. J., Jesse, P., Ragas, A. M. & Smith, A. Mapping river floodplain ecotopes by segmentation of spectral (CASI) and structural (LiDAR) remote sensing data, River Research and Application, 25 (7), pp. 795-813, 2009;

  20. Kurczyński, Z. Aerial and satellite imagery of Earth. Publishing House of the Warsaw University of Technology, Warsaw, 2006;

  21. Mandlburger, G., Hauer, C., Höfle, B., Habersack, H. & Pfeifer, N. Optimisation of LiDAR derived terrain models for river flow modelling, Hydrology and Earth System Sciences, vol. 5, pp. 3605-3638, 2008;

  22. Official Journal of the European Union. Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks, L 288/27, 2007

  23. Straadsma, M. & Huthoff, F. Uncertainty in 2D hydrodynamic models from errors in roughness parametrization based on aerial images, Physics and Chemistry of the Earth, 36, pp. 324-334, 2011;

  24. Straatsma, M. & Baptist, M. Floodplain roughness parametrization using airborne laser scanning and spectral remote sensing. Remote Sensing and Environment, 112, pp. 1062-1080, 2008.

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Number of times cited according to Crossref: 1

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