Speakers Bio & Abstract

Sarah Jane D. Samalburo Chief Science Research Specialist - Data Processing Component
Department of Science and Technology/UP DREAM-Phil LiDAR 1 Program

Engr. Samalburo graduated from the University of the Philippines with a Bachelor?s Degree in Geodetic Engineering in 2012. On the same year, she joined the Nationwide Disaster Risk and Exposure Assessment for Mitigation (DREAM-LiDAR) Program where she currently works as the Chief Researcher for the Data Processing Component. When Typhoon Haiyan hit the Philippines, she?s been involved in hazard mapping and other rehabilitation activities of the government.Abstract
The Utilization of Very High Resolution (VHR) Satellite Imageries and LiDAR Derived Datasets for Rapid Damage Assessment: Response and Rehabilitation for Typhoon Haiyan, Philippines' Experience
This paper discusses the methods used by the National LiDAR Program in cooperation with the Satellite ? based Monitoring and Assessment of Rehabilitation in Typhoon Effected Regions (SMARTER) Visayas Project, both launched by the Philippine government?s Department of Science and Technology (DOST). The projects answered the call for rapid damage assessment for the super typhoon Haiyan (Yolanda) affected regions without the need for ground data collection. Using very high resolution (VHR) satellite imagery with a half ? meter (0.5m) resolution and LiDAR-derived datasets from the DREAM Program, the group aimed to assess post typhoon conditions such as washouts, devastated coasts and infrastructure damages of the 171 municipalities and cities across 14 provinces. Suitable imagery were preprocessed, pansharpened and georeferenced to up-to-date LiDAR digital elevation models (DEMs) to ensure positional reliability. Pre and post typhoon images of each municipality were compared visually; damaged infrastructures were manually digitized in a GIS environment, assessed and the data stored in GIS databases. Image mosaicking from different sensors and orthophotos covering the same areas solved the cloud cover issues prevalent in the Philippine setting. Since the satellite images covered large areas, remotely sensed information on damaged areas were quickly generated. GIS analysis showed that the total infrastructure damages accounted to more than 290,000 buildings which translated to calculated gross typhoon damages of 21%. Statistics and VHR images for all regions were compiled and used for generating thematic maps, charts and tables. All information derived was used as basis for policies and rehabilitation efforts for the Yolanda Typhoon corridor.