Forest fires have caused huge losses to human life and property, so forest fire prediction and risk assessment becomes very urgent and necessary.
森林火灾给人类生命和财产造成了巨大的损失，因此对森林火灾的预测和风险评价显得十分迫切和重要。
Based on the review of internationally and domestically published papers on MODIS, research on how to process MODIS data and their application in forest fire danger prediction have been carried out.
本文在综述国内外相关研究的基础上，分别对MODIS数据的处理方法及其在林火预警中的应用方法进行了研究。
So, models describing the moisture content of forest fuels are an integral component of most fire behavior prediction systems.
所以建立数学模型是研究森林可燃物含水率变化规律的核心问题，也是最常用的方法。
So, models describing the moisture content of forest fuels are an integral component of most fire behavior prediction systems.
所以建立数学模型是研究森林可燃物含水率变化规律的核心问题，也是最常用的方法。
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