森林工程2018，Vol.34Issue(2)：30-34,5.
基于遥感数据与森林详查估算林龄的空间分布
Estimates Stand Age Distribution Based on Forest Survey and Remote Sensing data
摘要
Abstract
Using ZY-3 image 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 was 85.1%, 91.2% and 80.3%, respectively). The type of forest was extracted by supervised classification of ZY-3 image 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 at 30~70 years, and the average age of forest is 51 years. 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.关键词
林龄/树高/森林详查/机载雷达/统计模型/监督分类Key words
Stand age/tree height/forest survey data/airborne radar/statistical model/supervised classification分类
农业科技引用本文复制引用
李凡,李明泽,史泽林,姜宏宇,安金鹏..基于遥感数据与森林详查估算林龄的空间分布[J].森林工程,2018,34(2):30-34,5.基金项目
黑龙江省大学生创新项目(201610225114) （201610225114）
