以四川芦山M_s 7.0级地震后中国科学院遥感与数字地球研究所的有人机航拍为基础,辅以低空无人机平台进行联合观测,建立了空基多平台联合灾情观测模式下的灾情增强识别系统。介绍了空基多平台航测系统的组成及联合灾情观测的技术流程,使用有人机遥感平台与固定翼无人机遥感平台对重灾区芦山县进行航空联合观测。对震后有人机与无人机遥感影像进行综合对比,分析了地震中房屋典型受损的细节、滑坡体空间变化及重要电力线的破坏情况。结果表明,采用空基多平台的灾情监测模式,可显著增强对灾情的识别能力。

Based on the Manned Aerial Vehicles (MAV) airborne remote sensing images of Sichuan Lushan M_s 7.0 earthquake acquired by the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), an enhanced disaster identification system was developed with Multiple Airborne Sensors Monitoring System(MASMS) supported with low-altitude unmanned aerial vehicles (UAV) sensors. The component of the MASMS and the technical process of the disaster monitoring were introduced. The MAV remote sensing and fixed-wing UAV were applied to joint monitor the disasters in Lushan County, which was badly suffered from Lushan M_s 7.0 earthquake. Taking the remote sensing images acquired by MAV and UAV into consideration synthetically, the details of typical building damage, the distribution of landslides and the destruction of power lines were analyzed comprehensively. The results showed that the MASMS can investigate the disaster situations of major electricity facilities, and meanwhile enhance the ability of disaster identification.