This article demonstrates the construction of earthquake and volcano damage indices using publicly available remote sensing sources and data on the physical characteristics of events. For earthquakes we use peak ground motion maps in conjunction with building type fragility curves to construct a local damage indicator. For volcanoes we employ volcanic ash data as a proxy for local damages. Both indices are then spatially aggregated by taking local economic exposure into account by assessing nightlight intensity derived from satellite images. We demonstrate the use of these indices with a case study of Indonesia, a country frequently exposed to earthquakes and volcanic eruptions. The results show that the indices capture the areas with the highest damage, and we provide overviews of the modeled aggregated damage for all provinces and districts in Indonesia for the time period 2004 to 2014. The indices were constructed using a combination of software programs—ArcGIS/Python, Matlab, and Stata. We also outline what potential freeware alternatives exist. Finally, for each index we highlight the assumptions and limitations that a potential practitioner needs to be aware of.

本文演示了使用公开可用的遥感源和有关事件物理特征的数据构造地震和火山破坏指数的方法。对于地震，我们将峰值地面运动图与建筑物类型的脆性曲线结合使用，以构建局部破坏指标。对于火山，我们采用火山灰数据作为局部破坏的代理。然后，通过评估从卫星图像得出的夜光强度，通过考虑当地的经济暴露程度，对两个指数进行空间汇总。我们通过印度尼西亚这个经常遭受地震和火山喷发的国家的案例研究证明了这些指数的使用。结果表明，这些指标涵盖了损坏程度最高的区域，我们提供了2004年至2014年期间印度尼西亚所有省和地区的模型化综合损失概述。这些指标是使用软件程序（ArcGIS / Python，Matlab和Stata）组合而成的。我们还将概述存在哪些潜在的免费软件替代品。最后，对于每个索引，我们都强调了潜在从业者需要意识到的假设和局限性。