A framework that employs geostatistical methods to combine multiple sources of building damage data into one estimate.
Assistant Professor
Jan 01, 2018
From remote sensing to crowdsourcing, an overwhelming amount of building damage data is produced after disasters. While this amount of data signifies impressive technological progress, it does not necessarily mean that all building damage data is usable for post-earthquake decision-making. This research applies geostatistical methods to integrate multiple sources of data to produce rapid estimates of building damage, primarily to support regional decision making.