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Demonstrating UAV-acquired real-time thermal data over fires

机译:演示无人机获取的火场实时热数据

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摘要

Project FiRE (First Response Experiment), a disaster management technology demonstration, was performed in 2001. The experiment demonstrated the use of a thermal multispectral scanning imager, integrated on an unmanned aerial vehicle (UAV), a satellite uplink/downlink image data telemetry system, and near-real-time geo-rectification of the resultant imagery for data distribution via the Internet to disaster managers. The FiRE demonstration provided geo-corrected image data over a controlled burn toa fire management community in near-real-time by means of the melding of new technologies. The use of the UAV demonstrated remotely piloted flight (thereby reducing the potential for loss of human life during hazardous missions), and the ability to "linger and stare" over the fire for extended periods of time (beyond the capabilities of human-pilot endurance). Improvements in a high-temperature calibrated thermal imaging scanner allowed "remote" operations from a UAV and provided real-time accurate fire information collection over a controlled burn. Improved bit-rate capacity telemetry capabilities increased the amount, structure, and information content of the image data relayed to the ground. The integration of precision navigation instrumentation allowed improved accuracies in geo-rectification of the resultant imagery, easing data ingestion and overlay in a CIS framework. We present a discussion of the feasibility of utilizing new platforms, improved sensor configurations, improved telemetry, andnew geo-correction software to facilitate wildfire management and mitigation strategies.
机译:2001年进行了灾难管理技术演示项目FIRE(首次响应实验)。该实验演示了集成在无人飞行器(UAV)上的热多谱扫描成像仪的使用,这是卫星上行/下行图像数据遥测系统,以及对最终图像的近实时地理校正,以通过Internet将数据分发给灾难管理人员。 FiRE演示通过融合新技术,在近乎实时的受控烧伤区域向消防管理社区提供了经过地理校正的图像数据。无人机的使用证明了遥控飞行(从而减少了危险任务期间人员丧生的可能性),以及在火上“徘徊并凝视”了较长时间的能力(超越了人类飞行员的承受能力) )。高温校准的热成像扫描仪的改进允许从无人机进行“远程”操作,并在控制的烧伤情况下提供实时准确的火灾信息收集。改进的比特率容量遥测功能增加了中继到地面的图像数据的数量,结构和信息内容。精密导航仪器的集成提高了所得图像的地理校正的准确性,简化了数据提取和在CIS框架中的覆盖。我们将讨论利用新平台,改进的传感器配置,改进的遥测技术以及新的地理校正软件来促进野火管理和缓解策略的可行性。

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