西北林学院学报2024，Vol.39Issue(4)：138-146,9.DOI:10.3969/j.issn.1001-7461.2024.04.17
基于混合效应模型的滇中地区云南松林地上生物量遥感模型研究
Remote Sensing Model of Aboveground Biomass of Pinus yunnanensis Forest in Central Yunnan Based on Mixed Effect Model
摘要
Abstract
To determine the saturation value of optical remote sensing estimation of the biomass in Pinus yunnanensis forest and improve the accuracy of biomass estimation,P.yunnanensis forest occurring in cen-tral Yunnan Province was taken as the research object.Based on the study of the saturation value of the op-tical remote sensing biomass of the P.yunnanensis forest,and the biomass spectral index regression mod-el,the mixed effect prediction model of the aboveground biomass of the P.yunnanensis forest was con-structed considering the regional effect,age group effect and nested two levels(region+age group),to eliminate the impact of the prediction error caused by the saturation phenomenon.The results showed that the biomass saturation values of NDVI,NLI and G spectral indexes were 216,151 and 205 t/hm2,respec-tively.The mixture model at each effect level was superior to the regression model in terms of fitting indi-cators and independence test.From the results of the"Jackknife resampling method"residual test,the mixed effect model reduced the estimated average residual of the regression model in both low biomass and high biomass segments.Comprehensive analysis shows that the mixed effect model eliminates the sensitivi-ty of saturation phenomenon to a certain extent,and can effectively improve the estimation accuracy of Yunnan pine stand biomass.关键词
混合效应模型/生物量遥感估测/数据饱和/滇中地区/云南松林Key words
mixed-effect/biomass estimation by remote sensing/data saturation/central Yunnan/Pinus yunnanensis forest分类
农业科技引用本文复制引用
卢腾飞,秦燕,徐婷婷,郎晓雪,袁启慧,孙玲琳,施凯泽..基于混合效应模型的滇中地区云南松林地上生物量遥感模型研究[J].西北林学院学报,2024,39(4):138-146,9.基金项目
云南省林业调查规划院青年联合项目(2022311023). （2022311023）
