Paper
6 September 2017 Exposure and vulnerability assessment of buildings extracted from lidar derived datasets in Bucao River floodplains, Zambales, Philippines
Annie Melinda Paz-Alberto, Gloria N. Ramos, Jo Adrianne Espiritu, Kathrina M. Mapanao, Ranilo B. Lao
Author Affiliations +
Proceedings Volume 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017); 104440M (2017) https://doi.org/10.1117/12.2277387
Event: Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 2017, Paphos, Cyprus
Abstract
The Philippines has a geographic and geological setting that make it prone to various hazards including weather and climate-related. It is usually strongly affected by monsoon and typhoon occurrences that cause floods due to torrential rains that causes great risks in man’s life and properties, resulting in a significant national loss. Strategies for disaster prevention to protect human lives, properties and social infrastructure is therefore necessary. Different important parameters in disaster risk management such as earth observations, Light Detection and Ranging and Geographic Information System were integrated and utilized in this study. This study dealt with mapping and assessment of buildings that might possibly be exposed and vulnerable to flooding based on the simulated flood maps at different rainfall scenarios in Bucao River Basin. The assessment was done through GIS overlay analysis of the CLSU PHIL-LiDAR 1 Project outputs, the 3D building GIS database and flood hazard maps. Results of this study were series of maps with statistics at different rainfall scenarios. From 23,097 building features extracted, 10,118 buildings, 4,258 buildings and 7,433 buildings were the identified highest number of buildings exposed to flooding and a total of 2,427 buildings, 3,914 buildings and 7,204 buildings from the exposed were identified that had high vulnerabilities in terms of height at low, medium and high hazards of 100 year return period, respectively. Through these maps, it is easier to disseminate information that is more realistic to the residents about the hazardous areas and to help them act on warning and evacuating measures.
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Annie Melinda Paz-Alberto, Gloria N. Ramos, Jo Adrianne Espiritu, Kathrina M. Mapanao, and Ranilo B. Lao "Exposure and vulnerability assessment of buildings extracted from lidar derived datasets in Bucao River floodplains, Zambales, Philippines", Proc. SPIE 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 104440M (6 September 2017); https://doi.org/10.1117/12.2277387
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KEYWORDS
Buildings

Databases

Floods

Geographic information systems

LIDAR

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