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An accurate estimation of a casualty rate is critical in response toearthquake disasters, and could allow an increase in the survival rate.Building damage is considered to be a major cause of earthquake casualties indeveloping countries. High-resolution satellite imagery (HRSI) can be used todetect the building damage in a period of a short time. This makes itpossible to use a model to estimate earthquake casualties immediately afterthe occurrence of an earthquake. With respect to the capability of HRSI, thisstudy built a new model for estimating the casualty rate in an earthquakedisaster based on remote sensing and a geographical information system. Threegroups of earthquake data, the 2003 Bam earthquake, the 2008 Wenchuanearthquake, and the 2010 Yushu earthquake, were used to evaluate this model.The results indicated that our new model significantly improved the accuracyin predicting the casualty rate. The parameters used in the model varybetween developed and developing countries. This study could provide valuableinformation for a more efficient rescue operation in response to earthquakes

Application and prospect of a high-resolution remote sensing and geo-information system in estimating earthquake casualties