摘要
以塔河林业局针叶林为研究对象,利用TM遥感影像和林分因子,采用岭估计的方法,建立可燃物载量预测岭回归方程。同时用总相对误差、平均相对误差、平均相对误差绝对值、预估精度4个指标对模型进行了评价,预测效果较好。
Regressive equations of fuel load are established by TM remote sensing image and stand factor in terms of ridge estimation taking the coniferous forests in Tahe Forestry Bureau in Heilongjiang Province as research target. Four indices, including total relative error, average relative error, average absolute value of relative error and prediction precision, are used to evaluate the established models. Result proves that the predictive effect is as good as expected,
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2007年第6期18-20,共3页
Journal of Northeast Forestry University
基金
国家自然科学基金项目(30471404)
黑龙江省重点基金项目(ZJD04-0102)