南京林业大学学报(自然科学版) ›› 2015, Vol. 39 ›› Issue (01): 104-108.doi: 10.3969/j.issn.1000-2006.2015.01.019

• 研究论文 • 上一篇    下一篇

基于TM影像的森林三维绿量的遥感测算

谢丽琼,张晓丽*,宋金秀   

  1. 北京林业大学林学院,北京 100083
  • 出版日期:2015-01-31 发布日期:2015-01-31
  • 基金资助:
    收稿日期:2013-12-13 修回日期:2014-06-20
    基金项目:省部共建森林培育与保护教育部重点实验室项目(2009GJSYS02); 教育部高等学校博士学科点专项科研基金项目(20100014110002)
    第一作者:谢丽琼,硕士生。*通信作者:张晓丽,教授。E-mail:zhang-xl@263.net。
    引文格式:谢丽琼,张晓丽,宋金秀. 基于TM影像的森林三维绿量的遥感测算[J]. 南京林业大学学报:自然科学版,2015,39(1):104-108.

Estimation for tridimensional green biomass based on TM remote sensing image

XIE Liqiong,ZHANG Xiaoli*,SONG Jinxiu   

  1. College of Forestry,Beijing Forestry University, Beijing 100083,China
  • Online:2015-01-31 Published:2015-01-31

摘要: 以北京市八达岭林场为研究区,TM影像为数据源,结合地面样地调查数据,利用多元线性回归分析法分树种建立了北京市八达岭林场三维绿量(TGB)的估测模型。对估测模型进行评价和精度验证,得到阔叶林、针叶林、混交林三维绿量模型的决定系数(R2)分别为0.858、0.756、0.759,测算精度为85.63%。基于模型估测八达岭林场的三维绿量,总量为1 498.635万m3; 与利用森林资源二类调查数据计算的地面实测三维绿量对比,测算精度为90.89%。

Abstract: Badaling Forest Farm of Beijing was taken as the research object, and the thematic mapper(TM)imagery was taken as a data source and ground plot survey data. Sub-species regression model of tridimensional green biomass(TGB)was established by using multivariate linear regression method,which based on forest vegetation classification of Badaling Forest Farm. Estimation model for the evaluation and accuracy validation, the coefficient of determination broadleaf forest, coniferous forest, mixed forest model of TGB were 0.858,0.756,0.759 and the overall accuracy of TGB in Badaling Forest Farm was 85.63%.Using model inversion TGB of Badaling Forest Farm, the total of TGB are 14 986 350 m3, and comparison of measured TGB by forest resource inventory data,the measurement accuracy is 90.89%.

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