摘要
利用高光谱探测反演地物特征是一种全新光谱探测技术。分析了近年来森林可燃物含水量的光谱探测研究进展,探讨了可燃物水分参数的关键指标等效水厚度(EWT)和可燃物含水率(FMC),以及基于高光谱探测的实验分析方法,并讨论了可燃物水分参数指标计算的估算模型。以期为森林可燃物含水特征研究提供更加便捷有效的技术方法和理论依据,从而促进全球气候变暖背景下林火预测预报与森林可燃物火险等级划分工作的进一步发展。
Using hyperspectral detection to retrieve ground features is a new spectral detection technology.The paper analyzed the research progress of spectral detection of forest fuel water content in recent years,discussed the key indexes of combustible water parameters:equivalent water thickness(EWT)and fuel moisture content(FMC),the experimental analysis method based on hyperspectral detection,and discussed the estimation model of fuel water parameter index.It is expected to provide more convenient and effective technical methods and theoretical basis for the research on the water content characteristics of forest combustibles,so as to promote the further development of forest fire prediction and fire risk classification of forest combustibles under the background of global warming.
作者
张水锋
张思玉
彭徐剑
Zhang Shui-Feng(Nanjing Forest Police College,Nanjing,Jaingsu 210023)
出处
《农业灾害研究》
2023年第2期154-156,共3页
Journal of Agricultural Catastrophology
基金
北亚热带不同类型林分冠层可燃物含水量的高光谱特征研究(LGZD201906)
森林火灾灾害链链发机制及阻断机理研究(31872705)。
关键词
高光谱
森林可燃物
含水率
Hyperspectral
Forest fuel
Water content
