聚合VGI与GF-2影像的地震救援协助救灾信息获取研究

地震会给人类社会带来巨大损失，在地震发生后及时获得准确有效的地震救援协助救灾信息，为相关部门制定救援方案提供辅助信息，能够最大程度地减少人员伤亡及经济损失，对抢险救灾、应急指挥具有重大意义。地震发生后，为快速获取协助救灾信息，通过Python爬取九寨沟震后微博数据，分类并获取位置信息，聚合地震后自发地理信息（VGI）与遥感影像，进行服务区、最近设施点路径分析，并利用震前震后影像变化提取泥石流滑坡区域。结果表明：震后第一时间对有效数据进行聚合分析，能有效地获取设施点的服务区范围和最优可达路径，形成地理信息互补，在灾害应急等领域发挥出巨大的作用；通过聚合分析VGI与遥感影像数据获取地震协助救灾信息，在应急救援中具有一定可行性。

The Research on Assistance Information Acquisition for Earthquake Emergency Response by Aggregating VGI Data and GF-2 Images

The earthquake will bring huge losses to the human society. After the earthquake, accurate and effective earthquake rescue and relief information can be obtained timely to provide auxiliary information for relevant departments to formulate rescue plans, which can minimize casualties and economic losses, and is of great significance to rescue and emergency command. In order to obtain information to assist disaster relief quickly after the earthquake, weibo data in jiuzhaigou were crawled by Python, classification and location information were obtained, VGI data and remote sensing images were aggregated to do the analysis of service area and the closest facility point path, and the landslide area was extracted by using the image change. The results show that the aggregation analysis of effective data at the first time after the earthquake can effectively obtain the service area and the optimal accessible path of facility point, forming complementary geographic information and playing a great role in disaster emergency response. The research proves that the aggregation analysis of VGI and remote sensing image data to obtain earthquake relief information is feasible in emergency rescue.