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基于遥感数据与森林详查估算林龄的空间分布 被引量:8

Estimates Stand Age Distribution Based on Forest Survey and Remote Sensing data
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摘要 利用资源三号卫星影像数据,机载雷达数据和森林详查数据对帽儿山中林施业区林龄的空间分布进行估算研究。通过森林详查数据构建针叶混交林、阔叶混交林、针阔混交林的树高与林龄的一元线性模型(模型精度分别为:85.1%、91.2%、80.3%);通过资源三号卫星影像数据应用监督分类提取森林类型(总分类精度为:97.15%,Kappa系数为:0.91);通过机载雷达数据提取平均树高(提取精度为:80.46%)。将平均树高按照三种林型进行划分,并带入相应的模型中进行运算,得到林龄估算值,划分成龄组。从中林施业区范围来看,森林的林龄主要在30~70a,平均林龄为51a,龄组主要为中龄林,近熟林,成熟林。从整体上来看林龄结构偏年轻。 Using ZY-3image data,airborne laser scanning data(ALS)and forest survey data,the spatial distribution of forest age of Zhonglin area in Mao’er Mountain was estimated.A linear model of tree height and age of coniferous mixed forest,broad-leaved mixed forest and coniferous-broad-leaved mixed forest was constructed based on detailed forest survey data(model accuracy was85.1%,91.2%and80.3%,respectively).The type of forest was extracted by supervised classification of ZY-3image data(total classification accuracy:97.15%,Kappa coefficient:0.91).The average tree height was extracted from airborne laser scanning data(extraction accuracy:80.46%).The average height of the tree was divided into three forest types,the calculation was carried out in the corresponding model,the estimated value of the forest age was obtained,and the age group was divided.Within the study area,the stand age of the forest is mainly at30~70years,and the average age of forest is51years.The age group mainly consists of middle-aged,near-mature and mature forests.As a whole,age structure of forests in Mao’er Mountain is young.
作者 李凡 李明泽 史泽林 姜宏宇 安金鹏 Li Fan;Li Mingze;Shi Zelin;Jiang Hongyu;An Jinpeng(College of Forestry, Northeast Forestry University, Harbin 150040)
出处 《森林工程》 2018年第2期30-34,共5页 Forest Engineering
基金 黑龙江省大学生创新项目(201610225114)
关键词 林龄 树高 森林详查 机载雷达 统计模型 监督分类 Stand age tree height forest survey data airborne radar statistical model supervised classification
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