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林业资源管理 ›› 2010›› Issue (1): 113-117.

• 科学技术 • 上一篇    下一篇

基于ALOS PALSAR数据的森林蓄积量估测技术研究

杨永恬1,2, 李增元1,2, 陈尔学1,2, 凌飞龙1,2   

  1. 1.中国林业科学研究院 资源信息研究所,北京 100091;
    2.国家林业局 林业遥感与信息技术重点开放性实验室,北京 100091
  • 收稿日期:2009-12-30 修回日期:2010-01-25 发布日期:2020-12-14
  • 作者简介:杨永恬(1979-),女,博士研究生,主要从事林业遥感应用研究。Email:forevert@sina.com.cn
  • 基金资助:
    中央级公益性科研院所基本科研业务费专项资金项目“森林结构参数遥感综合定量反演方法研究”

Forest Volume Estimation Method Based on ALOS PALSAR Data

YANG Yongtian1,2, LI Zengyuan1,2, CHEN Erxue1,2, LING Feilong1,2   

  1. 1. Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091;
    2. Laboratory for Forestry Remote Sensing and Information Techniques of State Forestry Administration, Beijing, 100091, China
  • Received:2009-12-30 Revised:2010-01-25 Published:2020-12-14

摘要: 以吉林省汪清林业局为研究区,基于ALOS PALSAR和森林资源二类清查固定样地数据,利用非线性回归方法建立了固定样地蓄积量与所对应的PALSAR像元后向散射系数之间的关系,结果表明,除杨树(Populus ussuriensis)等树种组外, PALSAR的HV后向散射系数与蓄积量呈良好的正相关关系,对多数树种而言,交叉极化方式(HV)后向散射系数与蓄积量的决定系数比同极化方式(HH)的略高。若以林场为单位统计,采用回归方法得到的估测结果与直接利用固定样地估测的结果相差很小。

关键词: ALOS PALSA, 后向散射系数, 森林蓄积量

Abstract: Based on the ALOS PALSAR data and forest management inventory fixed plot data, nonlinear regression method was used for analyzing the relationship between backscattering coefficient and plot forest volume (m3/hm2). The test site was located in Wangqing Forest Bureau of Jilin Province. Results showed that HV polarization backscattering coefficient has good positive correlation with forest volume except forest stand with Poplar (Populus ussuriensis) as the dominant tree species. For most forest stands no matter what kinds of dominant tree species, the coefficient of determination between HV polarization and forest volume is higher than that between HH polarization and forest volume. Results also showed the difference between the result estimated from SAR data using regression method and that estimated directly from plots data is small when the forest farm is taken as a basic statistic unit.

Key words: ALOS PALSAR, backscattering coefficient, forest volume

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