<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Flood risk management is founded on the regular assessment of damage potential. A significant parameter for assessing damage potential is the number of at-risk objects. However, data sets on exposure are often incomplete and/or lack time-references. Airborne remote sensing data, such as orthophotos, offers a regularly-updated, time-referenced depiction of land use. As such, remote sensing data compensates for incomplete data sources (such as digital cadastral maps). Orthophotos can even be used to analyze the temporal dynamics of flood damage potential, providing that time-referenced information is available for multiple time points. This paper describes a method for integrating orthophotos into flood risk analyses. In Austria, orthophotos are updated every three years, allowing their integration into cyclical flood risk assessments. The results of a case study presented in this paper demonstrate that orthophotos are most useful where other data sources, such as digital cadastral maps, are incomplete. In such situations, orthophotos lead to a significant increase in estimated damage potential. Orthophoto analysis allows damage potentials to be re-assessed at regular intervals, another major advantage over digital cadastral maps. Orthophoto analysis thus supports the evaluation of flood risk management options.</p></abstract>

Flood risk management is founded on the regular assessment of damage potential. A significant parameter for assessing damage potential is the number of at-risk objects. However, data sets on exposure are often incomplete and/or lack time-references. Airborne remote sensing data, such as orthophotos, offers a regularly-updated, time-referenced depiction of land use. As such, remote sensing data compensates for incomplete data sources (such as digital cadastral maps). Orthophotos can even be used to analyze the temporal dynamics of flood damage potential, providing that time-referenced information is available for multiple time points. This paper describes a method for integrating orthophotos into flood risk analyses. In Austria, orthophotos are updated every three years, allowing their integration into cyclical flood risk assessments. The results of a case study presented in this paper demonstrate that orthophotos are most useful where other data sources, such as digital cadastral maps, are incomplete. In such situations, orthophotos lead to a significant increase in estimated damage potential. Orthophoto analysis allows damage potentials to be re-assessed at regular intervals, another major advantage over digital cadastral maps. Orthophoto analysis thus supports the evaluation of flood risk management options.

Towards periodic and time-referenced flood risk assessment using airborne remote sensing

Journal of Hydrology and Hydromechanics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Flood risk management is founded on the regular assessment of damage potential. A significant parameter for assessing damage potential is the number of at-risk...

Towards periodic and time-referenced flood risk assessment using airborne remote sensing

Data publikacji: 21 paź 2016

Zakres stron: 438 - 447

Otrzymano: 01 gru 2015

Przyjęty: 25 maj 2016

DOI: https://doi.org/10.1515/johh-2016-0034

Słowa kluczowe
Flood risk management, Damage potential analysis, Object-based image analysis, Orthophoto analysis, Building detection

© 2016 Claire Brenner et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Towards periodic and time-referenced flood risk assessment using airborne remote sensing

Data publikacji: 21 paź 2016

Zakres stron: 438 - 447

Otrzymano: 01 gru 2015

Przyjęty: 25 maj 2016

DOI: https://doi.org/10.1515/johh-2016-0034

Słowa kluczoweFlood risk management, Damage potential analysis, Object-based image analysis, Orthophoto analysis, Building detection

© 2016 Claire Brenner et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Flood risk management, Damage potential analysis, Object-based image analysis, Orthophoto analysis, Building detection