Building Vulnerability Assessment Using Hybrid Assessment Approaches: Object-Based Image Analysis and In-Situ Survey
Abstract
Building vulnerability is one of the most important parameters in the framework of tsunami disaster risk reduction. Such information on buildings is usually derived from field measurements based on selected parameters determining the level of vulnerability. However, relying only on such direct measurements requires resources beyond acceptable time and cost. Combining in-situ building survey and remote sensing technology is a challenging yet promising approach expected to overcome this problem. This research is presenting such a combination in a so called hybrid assessment method. Building vulnerability parameters were defined by structural engineers and the data collection was done through systematic stratified sampling in the region of interest. The remote sensing technique employed in this research is the Object-Based Image Analysis (OBIA). The OBIA algorithm was developed based on the results of the in-situ survey. Thus, this study successfully combines the result of field measurement techniques and the result of the OBIA approach. Transferability of the OBIA model has been successfully tested in other regions outside the sample area. The convincing results of this research indicate the high potential of the approach for a more efficient and reliable mapping of building vulnerability in wider areas. This research is part of the GITEWS (German-Indonesia Tsunami Early Warning System) project.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2009
- Bibcode:
- 2009AGUFMNH31B1119S
- Keywords:
-
- 0468 BIOGEOSCIENCES / Natural hazards;
- 0480 BIOGEOSCIENCES / Remote sensing