多光谱指数在野火管理中的应用
Multispectral Indices for Wildfire Management
AI总结：
本文研究多光谱影像在野火管理中的应用，评估了多种指数提取环境特征，如植被、水体和人工结构，以提升野火监测与管理效果。
摘要：
野火频发和严重性增加要求更有效的监测和管理方法，传统地面技术难以适应快速变化的火情和环境条件。本文通过文献综述和两个实际案例研究，探讨多光谱航空和卫星影像在野火管理中的应用。评估了多种多光谱指数提取环境特征的能力，包括植被、水体和人工结构。结果表明，NVDI对植被、MNDWI对水体、MSR对人工结构在分割和特征提取中尤为有效。这些指数的应用提高了野火数据处理能力，支持改进的监测、风险评估和响应策略，展示了多光谱影像补充传统野火监测和管理方法的潜力。
英文摘要：
The increasing frequency and severity of wildfires necessitates advanced methods for effective surveillance and management, as traditional ground-based techniques often struggle to adapt to rapidly changing fire behavior and environmental conditions. This study investigates the use of multispectral aerial and satellite imagery for wildfire management through an assessment of current literature and two practical case studies. We evaluate several multispectral indices for their ability to extract environmental features critical for analyzing wildfire behavior, including vegetation, water bodies, and artificial structures. Our results highlight NVDI for vegetation, MNDWI for water features, and MSR for artificial structures as particularly effective for segmentation and feature extraction. The application of these indices enhances wildfire data processing and supports improved monitoring, risk assessment, and response strategies, demonstrating the potential of multispectral imagery to complement traditional wildfire monitoring and management approaches.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
