摘要
选取三景北京市2013年TM遥感影像作为数据源,结合地面样地调查,采用多元回归估计的方法,建立三维绿量与遥感灰度值、GIS信息之间的反演模型,对北京市大尺度的森林三维绿量进行估测。结果表明,模型的精度分别达到83.16%、82.48%,R为0.85、0.88,预估模型精度满足要求,可用于北京市绿化三维绿量的估测和生态环境效应的估算、分析与评价。
Three scene TM remote sensing images of Beijing in 2013 were selected as datum sources, combined with the ground survey in sampling plots, multiple regression estimation method was adopted to establish the estimating models of tridimensional green biomass (TGB) between the grey values of remote sensing and GIS information. Values of TGB in Beijing were estimated in large scale. The results showed that the precisions of the two models for coniferous and broad-leaved trees were 82.42%, 81.37%, R values were 0.83, 0.86, indicating that the precisions of the models established could meet the requirements, and could be used for TGB estimation and the analysis and evaluation of ecological environment effects in Beijing.
出处
《西北林学院学报》
CSCD
北大核心
2015年第1期240-244,共5页
Journal of Northwest Forestry University
基金
北京市自然科学重点基金(4041002)
关键词
三维绿量
3S技术
遥感
逐步回归
tridimensional green biomass
3S technology
remote sensing
stepwise regression