Post-disaster recovery assessment using remote sensing image analysis and agent-based modeling

Abstract

Brown et al. (2011) developed a model to assess the damage and early recovery using remote sensing data and ground survey tools after the 2008 Wenchuan earthquake in China. The recovery step of their study includes buildings, accessibility (Figure 1.6), power, and water livelihoods assessments. In this study, only the Normalized Differential Vegetation Index (NDVI) computation was implemented automatically, and other information such as building change detection, accessibility assessments, etc. were done manually.Chapter 8 -Synthesis: synthesizes the results of the individual chapters. It provides the main findings, contributions of this research, reflects on the work, and discuss the usability of the proposed approaches from a stakeholder perspective. The future outlook for improving each of the proposed research lines and methods in this research is also reported.