杜拉尔林场白桦林可燃物载量反演

Inversion of Combustible Load in Betula platyphylla Forests of Dural Forest Farm

为了提高森林可燃物载量估测精度,以杜拉尔林场野外样地调查数据为基础,从Sentinel-2A数据获取(band2~band9)光谱特征及纹理特征,并计算植被指数结合郁闭度、龄组、坡度、坡向作为特征变量,应用森林的分类与回归方法建立估测模型对杜拉尔林场白桦林进行可燃物载量反演。结果表明:Sentinel-2A数据结合林分地形因子建立的估测模型拟合效果较好,能够准确反演杜拉尔林场白桦林可燃物载量,反演结果与实测值的R 2为0.8615、均方根误差(R MSE)为7.612。

In order to improve the accuracy of combustible load estimation in forests,this study utilizes field survey data from the Dural Forest Farm as a basis,extracting spectral and texture features from Sentinel-2A data(bands 2 to 9).Vegetation indices combined with canopy closure,age group,slope,and slope aspect are calculated as feature variables.A forest classification and regression method is then applied to establish an estimation model for the combustible load in Betula platyphylla forests of the Dural Forest Farm.The results showed that the estimation model established using Sentinel-2A data combined with forest topographic factors has a good fitting effect.It accurately estimates the combustible load in B.platyphylla forests of the Dural Forest Farm,with an R 2 value of 0.8615 and a root mean square error(R MSE)of 7.612 when compared to the measured values.