通过野外点火试验测定了各可燃物类型的初始引燃含水率。
Based on the field ignition experiment, the initial ignition moisture of different fuel type was obtained.
以各可燃物类型的初始引燃含水率为基准，将各可燃物类型的火险等级划分为五级。
Five fire danger ratings of fuel types were classified on the basis of initial ignition moisture.
在对森林可燃物类型划分的研究进行回顾的基础上，提出了考虑树种信息的分类方法。
Based on review of the status of the study on forest fuel type classification, a classification method considering tree types was put forward.
通过对不同可燃物类型死体和活体可燃物含水率的测定，得出森林可燃物含水率变化规律。
According to the measurement of dead and dynamic fuel moistures of different fuel type, the changing patterns of fuel moistures were obtained.
森林可燃物类型的空间分布是林火蔓延、灭火可视化建模与仿真中需要考虑的重要因素之一。
Forest fuel type's spatial distribution is one of the key factors to be considered during forest fire spread and fire-fighting visualization modeling and simulation.
最后，利用矢量格式的遥感分类结果对原森林小班图层进行更新，获得新的可燃物类型图层，作为林火可视化模型的输入图层。
Finally, the vector format data of remote sensing classification result was used to update the original forest stand layer in order to get the available inputs of fire visualization modeling.
根据野外观测资料及气象站观测的气象因子，利用多元统计方法，建立了各可燃物类型地表可燃物含水率与其相关的气象因子之间的回归模型。
According to the measurement of dead fuel moistures and meterological factors in field, by the means of multi-factors statistics, the models of dead fuel moisture were developed.
根据野外观测资料及气象站观测的气象因子，利用多元统计方法，建立了各可燃物类型地表可燃物含水率与其相关的气象因子之间的回归模型。
According to the measurement of dead fuel moistures and meterological factors in field, by the means of multi-factors statistics, the models of dead fuel moisture were developed.
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