FLAME 2: Fire detection and modeLing: Aerial Multi-spectral imagE dataset
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Drone based wildfire detection and modeling methods enable high-precision, real-time fire monitoring that is not provided by traditional remote fire monitoring systems, such as satellite imaging. Precise, real-time information enables rapid, effective wildfire intervention and management strategies. Drone systems’ ease of deployment, omnidirectional maneuverability, and robust sensing capabilities make them effective tools for early wildfire detection and evaluation, particularly so in environments that are inconvenient for humans and/or terrestrial vehicles. Development of emerging drone-based fire monitoring systems has been inhibited by a lack of well-annotated, high quality aerial wildfire datasets, largely as a result of UAV flight regulations for prescribed burns and wildfires. The included dataset provides a collection of side-by-side infrared and visible spectrum video pairs taken by drones during an open canopy prescribed fire in Northern Arizona in 2021. The frames have been classified by two independent classifiers with two binary classifications. The Fire label is applied when the classifiers visually observe indications of fire in either RGB or IR frame for each frame pair. The Smoke label is applied when the classifiers visually estimate that at least 50% of the RGB frame is filled with smoke. To provide additional context to the main dataset’s aerial imagery, the provided supplementary dataset includes weather information, the prescribed burn plan, a geo-referenced RGB point cloud of the preburn area, an RGB orthomosaic of the preburn area, and links to further information.
基于无人机的野火检测与建模方法，可实现传统远程火情监测系统（如卫星成像）无法提供的高精度、实时火情监测。精准实时的火情信息可支撑快速高效的野火干预与管理策略制定。无人机系统具备部署便捷、全向机动能力强、感知性能优异等优势，使其成为早期野火探测与评估的高效工具，尤其适用于人类及地面车辆难以抵达的场景。当前新兴的无人机火情监测系统发展受阻，主要原因在于缺乏高质量且标注完善的航拍野火数据集，这在很大程度上源于针对受控燃烧（prescribed burns）与野火的无人机（UAV）飞行管制规定。本数据集收录了2021年在亚利桑那州北部开展的开阔林冠受控燃烧实验中，无人机采集的红外与可见光光谱配对视频数据。所有帧对均由两名独立分类器完成双二分类标注：当分类器在任一红-绿-蓝（RGB）或红外（infrared）帧中目视观测到火情迹象时，即为该帧对赋予Fire（火情）标签；当分类器目视评估RGB帧中至少50%的区域被烟雾覆盖时，则为该帧对赋予Smoke（烟雾）标签。为辅助主数据集航拍影像的场景解读，配套补充数据集包含气象信息、受控燃烧方案、预燃烧区域的地理参考RGB点云、预燃烧区域的RGB正射影像镶嵌图，以及更多相关信息的链接。
