The goal of the present work is to establish a framework for firebrand morphology characterization. Central to this framework is the development of a simple firebrand shape classification model using multi-dimensional particle shape descriptors. This classification model is built upon a series of synthetically generated 3D particles whose shapes and sizes are chosen to be representative of actual firebrands typically encountered during vegetative and structural fuel burns. Principal Component Analysis (PCA) is applied to the synthetic dataset and used to structure the classification model. The model is then verified using 3D digital representations of real-world particles (firebrands collected during tree burns and unburned bark pieces from oak trees). The classification model, which will allow meaningful comparisons of firebrand morphological features by shape class, is expected to be gradually refined as more datasets are made available throughout the Wildland–Urban Interface (WUI) fire research community.

目前工作的目标是建立火种形态表征的框架。该框架的核心是使用多维颗粒形状描述符开发一个简单的煽动者形状分类模型。该分类模型建立在一系列合成生成的 3D 颗粒的基础上，这些颗粒的形状和尺寸被选择为代表植物和结构燃料燃烧期间通常遇到的实际火源。主成分分析 (PCA) 应用于合成数据集并用于构建分类模型。然后使用现实世界颗粒的 3D 数字表示（在树木燃烧期间收集的火把和橡树上未燃烧的树皮碎片）对该模型进行验证。随着野地-城市界面（WUI）火灾研究社区提供更多数据集，分类模型将允许按形状类别对火种形态特征进行有意义的比较，预计将逐步完善。