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在用一维Kalman滤波研究森林资源动态基础上,介绍了二维Kalman滤波的原理与方法,并以浙江省丽水市森林资源连续清查样地的地理坐标建立二维坐标系,以样地森林面积和森林蓄积为状态向量,应用二维Kalman滤波研究森林资源动态。结果表明:对森林蓄积动态及样地个数较多、面积较大的用材林和防护林的面积动态预测效果良好,而对于样地个数较少、变异系数较大的样地如特用林和未成林造林林地的面积动态预测误差较大,如要作准确预测,则需要加大这些样地的抽样个数。
On the basis of studying the dynamic of forest resources by one-dimensional Kalman filter, the principle and method of two-dimensional Kalman filtering are introduced. The two-dimensional coordinate system is established by the geographical coordinates of the continuous inventory of forest resources in Lishui City, Zhejiang Province. Based on the forest area And forest accumulation as state vector, applying two-dimensional Kalman filter to study forest resources dynamics. The results showed that the dynamic prediction of the dynamic change of forest volume and the number of sample plots and the area of larger timber and shelterbelts was good. For the plots of small number of plots and large coefficient of variation, The dynamic prediction error of the area of unforested forest is large, so if we need to make accurate prediction, we need to increase the sampling number of these plots.