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GIS Application for Damaged Buildings Assessment and Shelter Distribution Analysis After Earthquake and Tsunami in Palu 2018

机译:2018年帕鲁地震和海啸后受损建筑评估和庇护分布分析的GIS应用

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Data and disaster information is crucial to support disaster response, recovery, and relief process. Unfortunately,acquiring data during emergency situations is difficult. After a disaster occurred, information about the victim and theimpact of the disaster must be collected immediately for aid distribution purposes. Collecting shelter location data withnumber of victims and their needs must be completed swiftly as a disaster response action. Furthermore, collectinginformation of damaged buildings is also essential to determine the amount of compensation for destroyed houses.Geographic Information System combined with remote sensing is practical and reliable to help all of these tasks.WorldView-3 high resolution imagery with 0.5 m spatial resolution provided by Digital Globe is used to interpretdamaged building in Palu City study area. By comparing satellite imagery before and after disaster, damaged buildinginformation can be interpreted and extracted as a cartographic map. Cross validation with field data of damaged buildingdemonstrated that accuracy of the interpretation is approximately 80.49 %. The result of the damaged building comparedwith shelter distribution data using service area accessibility analysis and then used to analyze optimum coverage ofdisaster mitigation shelters.
机译:数据和灾难信息对于支持灾害响应,恢复和救济过程至关重要。很遗憾,在紧急情况下获取数据很困难。发生灾难后,有关受害者的信息和必须立即收集灾难的影响以获得援助分配目的。收集避难所位置数据受害者数量及其需求必须作为灾难响应行动迅速完成。此外,收集损坏建筑物的信息对于确定被摧毁的房屋的赔偿金额也是至关重要的。地理信息系统与遥感相结合实用可靠,以帮助所有这些任务。WorldView-3带有数字全球提供的0.5米空间分辨率的高分辨率图像用于解释帕卢市学习区受损大楼。通过比较灾难,损坏的建筑物前后的卫星图像信息可以解释和提取作为制图映射。用损坏建筑物现场数据交叉验证证明了解释的准确性约为80.49%。损坏的建筑物的结果相比使用服务区域可访问性分析的避难所分配数据,然后用于分析最佳覆盖范围灾害缓解避难所。

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