利用RS和林分因子估测帽儿山林场森林可燃物负荷量

Estimation of Forest Fuel Load in Maoershan Experimental Forest Farm in Shangzhi City by Remote Sensing and Stand Factors

以东北林业大学帽儿山实验林场为研究区域,以少量野外定位调查数据与其对应的遥感信息和GIS信息为基础,选用岭回归分析方法,对影响森林可燃物负荷量估测的遥感因子和GIS因子进行了筛选优化,找出了TM(4×3)/7、TM4/3、海拔等影响可燃物负荷量估测的主要因子,建立了以像元为单位的森林可燃物负荷量估测模型。该模型的预测偏差为23%,可用于实现区域性森林可燃物负荷量的定量估测。

Factors of remote sensing and GIS influencing the estimation of forest fuel load were optimized by Ridge estimation equation in terms of field investigation data and corresponding remote sensing information and GIS data by taking Maoershan Experimental Forest Farm of Northeast Forestry University as a research area. The main factors influencing the estimation of forest fuel load were found out such as TM （4×3）/7, TM4/3, and altitude. A model for estimating forest fuel load with the unit of pixel was established. The estimation deviation was 23%, indicating that the quantitative estimation of forest fuel load for regional forests could be achieved.