近/超实时应用中遥感火点数据的周界划分方法比较

Fire Pub Date : 2024-07-01 DOI:10.3390/fire7070226
Hanif Bhuian, H. Dastour, Mohammad Razu Ahmed, Q. Hassan
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引用次数: 0

摘要

森林火灾对生态系统、生物多样性和人类财产造成广泛破坏,给应急响应和资源管理带来重大挑战。准确及时地划定森林火灾周界对于减轻这些影响至关重要。本研究评估了使用近实时(NRT)遥感数据划定森林火灾周界的方法。具体而言,使用 VIIRS 和 MODIS 数据集评估了各种算法(缓冲、凹、凸和组合方法)的性能。结果发现,增加凹面 α 值可提高与参考区域的匹配率,但同时也会增加委托误差 (CE),表明估计过高。结果表明,组合方法通常能获得更高的匹配率,但同时也会获得更高的 CE。这些发现凸显了提高周界精度与高估风险之间的权衡。所获得的见解对于优化传感器数据对齐技术,从而加强火灾管理中的快速反应、资源分配和疏散规划具有重要意义。这项研究首次将多种算法与 NRT 或超实时(URT)主动火灾数据进行了单独和协同处理,为今后旨在提高林火周边评估准确性和及时性的研究奠定了重要基础。这种进步对于有效的灾害管理和减灾战略至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Perimeter Delineation Methods for Remote Sensing Fire Spot Data in Near/Ultra-Real-Time Applications
Forest fires cause extensive damage to ecosystems, biodiversity, and human property, posing significant challenges for emergency response and resource management. The accurate and timely delineation of forest fire perimeters is crucial for mitigating these impacts. In this study, methods for delineating forest fire perimeters using near-real-time (NRT) remote sensing data are evaluated. Specifically, the performance of various algorithms—buffer, concave, convex, and combination methods—using VIIRS and MODIS datasets is assessed. It was found that increasing concave α values improves the matching percentage with reference areas but also increases the commission error (CE), indicating overestimation. The results demonstrate that combination methods generally achieve higher matching percentages, but also higher CEs. These findings highlight the trade-off between improved perimeter accuracy and the risk of overestimation. The insights gained are significant for optimizing sensor data alignment techniques, thereby enhancing rapid response, resource allocation, and evacuation planning in fire management. This research is the first to employ multiple algorithms in both individual and synergistic approaches with NRT or ultra-real-time (URT) active fire data, providing a critical foundation for future studies aimed at improving the accuracy and timeliness of forest fire perimeter assessments. Such advancements are essential for effective disaster management and mitigation strategies.
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