ARSET – Transforming Earth Observation (EO) Data into Building Infrastructure Data Sets for Disaster Risk Modeling

Climate change is not only changing the location, frequency, and severity of environmental extremes and hazards, but also the baseline spatial and temporal patterns that have served as the basis for land use planning, the design of infrastructure, and the development of construction standards and practices. To anticipate the emerging impacts on communities, we must improve understanding of exposed assets, including the built infrastructure and its characteristics such as structure type, use, occupance, compliance with engineering standards, and replacement cost.

GIS databases track exposure on a wide variety of scales, formats, and levels of detail, yet aggregating these data for risk assessment typically results in skewed datasets that present a view of risk that is limited to known assets. In this short course, we will cover the basics of natural hazard risk modeling and exposure development with a focus on fusing data from multiple datasets expressly for the purposes of risk assessment.  We will also present examples applying the techniques to applications related to flood risk assessment, climate adaptation, and earthquake modeling.

This will be three, 2-hour sessions on October 3, 5, and 10. Click here to learn more.