Development of urban building inventory using high-resolution satellite images for urban earthquake disaster risk analysis | |
| Author | Serker, N. H. M. Kamrujjaman |
| Call Number | AIT Thesis no.ST-04-10 |
| Subject(s) | Remote-sensing images Earthquake hazard analysis Buildings--Earthquake effects |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. ST-04-10 |
| Abstract | Bangkok, the capital of the Kingdom of Thailand, is one of the mega cities in Asia and a regional hub. The city has a very high economic growth and is going through changes as new buildings and other structures are built. Bangkok city is not free of seismic and others disaster risk because of high population density and construction of concrete structures considering a little or no seismic loading. It is imperative to update the building and infrastructure inventory to evaluate seismic risk and to establish proper management plans for disaster reduction. Therefore, high-resolution satellite images are used to develop an inventory for buildings and infrastructures located in an urban area considering their spectral and spatial characteristics as well as shape properties. Satellite images from Landsat? ETM+ and QuickBird satellites are used in this study. An object oriented image analysis technique is used in this study. A segmentation and classification approach of QuickBird image for developing urban building and infrastructure inventory has been proposed. An overall accuracy of 85% is obtained using Quick.Bird multispectral image, however, overall accuracy of about 87% is achieved using Landsat? ETM+ image. Buildings were separated from other buildup features and building types based on roofing materials were determined. QuickBird image was used for detail classification of urban features because of its high spatial resolution. Existing building inventory is updated with the results obtained from image analysis. Seismic risk due to a scenario earthquake is evaluated using the HAZUS methodology and inventory data obtained from image analysis in combination with the existing database. The building damage distribution map is developed for the scenario earthquake in the study area. |
| Year | 2004 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ST-04-10 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Structural Engineering (STE) /Former Name = Structural Engineering and Construction (ST) |
| Chairperson(s) | Pennung Warnitchai;Dutta, Dushmanta; |
| Examination Committee(s) | Tripathi, Nitin Kumar ;Phisan Santitamnont; |
| Scholarship Donor(s) | Asian Development Bank ;Japan; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2004 |