Exposure Data Development for the Global Earthquake Model: Inventory Data Capture Tools (IDCT)
J. Bevington , R. Eguchi, C. Huyck ImageCat Inc., Ashtead, UK. 2 Long Beach, CA, USA H. Crowley GEM Foundation, Pavia, Italy F. Dell'Acqua, G. Iannelli University of Pavia, Italy C. Jordan British Geological Survey, Keyworth, UK. J. Morley University of Nottingham, UK M. Wieland, S. Parolai, M. Pittore GFZ German Research Centre for Geosciences, Potsdam, Germany K. Porter SPA Risk LLC, Denver, CO, USA. K. Saito Cambridge Architectural Research, UK P. Sarabandi Stanford University, Stanford, CA, USA A. Wright OpenGeo, New York City, NY, USA M. Wyss World Agency of Planetary Monitoring & Earthquake Risk Reduction (WAPMERR), Geneva, Switzerland
The Global Earthquake Model represents a open initiative to develop software and tools for assessment of global seismic risk. This paper describes an open-source software suite and protocols for populating a Global Exposure Database of structural information being developed by GEM’s Inventory Data Capture Tools (IDCT) risk global component. Several data collection methods are used: remote sensing, direct field observations, and statisticallyinferred mapping schemes. Data are collected on pre-earthquake inventory, as well as post-event damage: rudimentary building information from optical satellite or aerial sensors, including the building footprints and height. Field-based observations collected on digital and paper tools by survey teams allow expert users to generate detailed structural information, including structural type, year built, and occupancy. Mapping schemes allow the generation of exposure information for user-defined areas of homogenous urban land use, using sampled field observations. These methods converge to feed GEM's Global Exposure Database and the Earthquake Consequences Database.