植被冠层可燃物含水率评估方法研究进展
Research Progress in the Evaluation of Fuel Moisture Content in Vegetation Canopy
韩冰洁 1叶江霞1
作者信息
- 1. 西南林业大学林学院,昆明 650224
- 折叠
摘要
近年来林火频发造成人力物力损失严重,林火预报和防控研究备受关注.植被冠层含水率是森林可燃物的重要参数,也是林火预报的关键因子,对林火发生及火行为测报预警具有重要意义.针对目前植被冠层含水率评估方法众多及数据多样,文中在收集、整理国内外植被冠层含水率评估方法特别是遥感反演评估方法的基础上,总结各方法的发展现状,梳理其存在的问题,并对多源遥感数据融合、人工智能算法、GIS分析方法等在精细植被冠层含水率时空反演中的应用前景进行展望,以期为增强植被冠层含水率评估效能、拓展遥感反演可燃物含水率应用深度、提高林火预报精度等提供借鉴和参考.
Abstract
In recent years,the frequent occurrence of forest fires has caused serious human and material loss,and the research on forest fire forecasting and prevention/control has attracted increasing attention.The moisture content of vegetation canopy is an important parameter of forest fuel and a key factor to forest fire forecasting,which has important significance for the prediction and early-warning of forest fire occurrence and fire behaviors.In view of the fact that there are many methods and diverse data for evaluating vegetation canopy's moisture content at present,this paper classifies the methods at home and abroad,especially the method of remote sensing inversion,summarizes their development state and existing problems,and discusses the prospects in the application of multi-source remote sensing data fusion,artificial intelligence algorithms,GIS analysis methods to the spatiotemporal inversion of fine vegetation canopy moisture content,in order to provide references for enhancing the evaluation efficiency of vegetation canopy moisture content,expanding the application of remote sensing inversion of fuel moisture content,and improving the accuracy of forest fire forecasting.
关键词
可燃物含水率/林火预报/植被冠层/遥感/评估方法Key words
fuel moisture content/forest fire forecasting/vegetation canopy/remote sensing/assessment method引用本文复制引用
基金项目
国家自然基金委(32360392)
国家林业和草原局(2023133128)
云南省教育厅"林学一流学科建设项目"(05000/523003)
出版年
2024
国家科技期刊平台
NSTL
万方数据