文章摘要
孙雪莲,舒清态,欧光龙,张 博,胥 辉.基于随机森林回归的不同龄组思茅松 人工林生物量遥感估测[J].广东农业科学,2015,42(15):148-153
查看全文    HTML 基于随机森林回归的不同龄组思茅松 人工林生物量遥感估测
Remote sensing estimation of biomass of Simao pine artificialforest at different ages based on random forest regression
  
DOI:
中文关键词: 思茅松  生物量  随机森林回归
英文关键词: Pinus kesiya var. langbianensis  biomass  random forest regression
基金项目:国家林业局林业公益性行业科研专项 (201404309);国家自然科学基金(31460194)
作者单位
孙雪莲,舒清态,欧光龙,张 博,胥 辉 西南林业大学林学院云南 昆明 650224 
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中文摘要:
      以云南省景谷县思茅松人工林为研究对象,以景谷县实测思茅松单木生物量数据建立其单木生物 量模型,计算得出90 个景谷县思茅松实测样地林分单位面积生物量,采用2005 年景谷县TM 遥感影像提取 9 个植被指数作为备选自变量,基于随机森林回归建立总体样本及各龄组样本思茅松单位面积生物量估测模 型。以像元为单位,利用估测模型,并采用2005 年森林资源二类调查小班数据估算景谷县思茅松人工林的生 物量。结果表明:各模型的决定系数(R2)> 0.89,均方根误差(RMSE)< 7.00,预估精度(P)> 87.00%;研 究区思茅松人工林单位面积生物量为59.0889 t/hm2,其中幼龄林为38.5170 t/hm2,中龄林为53.6626 t/hm2,近 熟林为94.8018 t/hm2。
英文摘要:
      Taking the Simao pine(Pinus kesiya var. langbianensis)plantations in Jinggu county as the research object,this paper constructed the biomass model of single tree and calculated the biomass of Simao pine`s per unit of 90 sample plots of Jinggu county. Nine indexes of vegetation were selected as the alternative variables using TM remote sensing image of Jinggu country in 2005. The estimation model of Simao pine`s per unit biomass of the overall sample and the sample of different ages was established based on random forest regression. The biomass of Simao pine`s per unit artificial forest was predicted in study area by taking the pixel as unit in 2005. The results were as follows:R2 > 0.900, RMSE < 7.00,prediction accuracy( P)> 87.00%. The biomass of per unit artificial forest was 59.0889 t/hm2,the biomass of young forest was 38.5170 t/hm2,the biomass of half-mature forest was 53.6626 t/hm2,the biomass of near mature forest was 94.8018 t/hm2 .
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