POST-EARTHQUAKE BUILDING AND INFRASTRUCTURE DAMAGE MAPPING USING VERY HIGH RESOLUTION SATELLITE IMAGERY

Multi-temporal very high resolution satellite imagery offers the ability to monitor multi-temporal land use and land cover changes at unprecedented scales and areas. Such capabilities are particularly suited for acquiring detailed information of land cover changes in the immediate aftermath of a disaster event. The Image Information Mining virtual Laboratory experiment focused on the use of such imagery to map the effects of the 2009 L'Aquila earthquake. This paper describes semi-automatic change detection workflows to map earthquake damage. Such workflows include essential steps to improve the quality of change detection such as radiometric normalization and image co-registration. In addition, this article describes the various pre-processing steps that are used to improve consistency between images. This paper also discusses the ability to export results into formats more suitable for stakeholders such as geospatial analysts.