FLAME 3 - Radiometric Thermal UAV Imagery for Wildfire Management
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FLAME 3 is the third dataset in the FLAME series of aerial UAV-collected side-by-side multi-spectral wildlands fire imagery (see FLAME 1 and FLAME 2). This set contains a single-burn subset of the larger FLAME 3 dataset focusing specifically on Computer Vision tasks such as fire detection and segmentation. Included are 622 image quartets labeled Fire and 116 image quartets labeled No Fire. The No Fire images are of the surrounding forestry of the prescribed burn plot. Each image quartet is composed of four images - a raw RGB image, a raw thermal image, a corrected FOV RGB image, and a thermal TIFF. Each of the four data types are detailed in the below Table 1. More information on data collection methods, data processing procedures, and data labeling can be found in https://arxiv.org/abs/2412.02831. This dataset also contains a NADIR Thermal Fire set, providing georeferenced overhead thermal imagery, captured by UAV every 3-5 seconds, focusing on monitoring fire progression and burn behaviors over time. This data, when processed, enables centimeter-grade measurements of fire spread and energy release over time. Pre, post, and during burn imagery are included, along with ground control point (GCP) data. This dataset is based on the research conducted in the paper: FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management. It provides detailed insights and analysis related to forest fire monitoring and modeling.If you use this dataset in your research or projects, please cite the original paper as follows: APA: Hopkins, B., ONeill, L., Marinaccio, M., Rowell, E., Parsons, R., Flanary, S., Nazim I, Seielstad C, Afghah, F. (2024). FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management. arXiv preprint arXiv:2412.02831.BibTeX: @misc{hopkins2024flame3datasetunleashing, title={FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management}, author={Bryce Hopkins and Leo ONeill and Michael Marinaccio and Eric Rowell and Russell Parsons and Sarah Flanary and Irtija Nazim and Carl Seielstad and Fatemeh Afghah}, year={2024}, eprint={2412.02831}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2412.02831}, }
FLAME 3是FLAME系列数据集的第三代产品，该系列由无人机（Unmanned Aerial Vehicle, UAV）采集的并排式多光谱野外野火影像组成（详见FLAME 1与FLAME 2）。本数据集包含大型FLAME 3数据集的单次燃烧子集，专门针对野火检测、分割等计算机视觉（Computer Vision）任务优化。其中包含622组标注为“有火”的影像四元组，以及116组标注为“无火”的影像四元组。“无火”影像拍摄自计划烧除地块周边的林区。每组影像四元组由四张影像构成：原始RGB影像、原始热成像影像、校正视场（Field of View, FOV）的RGB影像，以及热成像TIFF文件。四种数据类型的详细说明请参见下文表1。有关数据采集方法、数据处理流程与数据标注的更多信息，请参阅https://arxiv.org/abs/2412.02831。 本数据集还包含天顶热成像野火集（NADIR Thermal Fire set），该数据集由无人机以每3至5秒的频率采集地理参考的俯视热成像影像，旨在长期监测野火蔓延进程与燃烧行为。处理后的该数据集可实现野火蔓延与能量释放的厘米级精准测量。数据集涵盖燃烧前、燃烧中与燃烧后的影像，以及地面控制点（Ground Control Point, GCP）数据。 本数据集基于论文《FLAME 3数据集：释放辐射热成像无人机影像在野火管理中的强大潜力》（FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management）的研究成果，为森林野火监测与建模提供了详尽的研究视角与分析支撑。若您在研究或项目中使用本数据集，请按以下格式引用原论文： APA格式：Hopkins, B., ONeill, L., Marinaccio, M., Rowell, E., Parsons, R., Flanary, S., Nazim I, Seielstad C, Afghah, F. (2024). FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management. arXiv预印本arXiv:2412.02831。 BibTeX格式： @misc{hopkins2024flame3datasetunleashing, title={FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management}, author={Bryce Hopkins and Leo ONeill and Michael Marinaccio and Eric Rowell and Russell Parsons and Sarah Flanary and Irtija Nazim and Carl Seielstad and Fatemeh Afghah}, year={2024}, eprint={2412.02831}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2412.02831}, }
