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林业资源管理 ›› 2009›› Issue (6): 116-119.

• 科学技术 • 上一篇    下一篇

分层抽样下的森林资源清查数据年度更新探讨

周琪, 姚顺彬   

  1. 国家林业局华东林业调查规划设计院, 浙江 金华 321001
  • 收稿日期:2009-07-20 修回日期:2009-09-22 出版日期:2009-12-28 发布日期:2020-12-18
  • 作者简介:周琪(1958-),男,江苏无锡人,高工,长期从事森林资源监测和林业调查规划设计工作。

An Inquiry into Annual Updating of NFI Data under Stratified Sampling

ZHOU Qi, YAO Shunbin   

  1. East China Forest Inventory and Planning Institute, State Forestry Administration, Jinhua 321001, Zhejiang Province, China
  • Received:2009-07-20 Revised:2009-09-22 Online:2009-12-28 Published:2020-12-18

摘要: 根据江苏省森林资源清查的历史数据和宏观区域规划信息,对以省为单位的调查总体进行分层。然后,在资源动态变化较大的各层内随机抽取一定量的样地进行地面调查,而在资源变化相对稳定的层,直接引用前一年度的固定样地调查数据,进行分层抽样估计,从而以较小的成本实现森林资源清查数据年度更新。同时,利用江苏省2000—2005年的森林资源清查样地数据进行了验证,结果表明此方法可行。

关键词: 森林资源清查, 数据年度更新, 分层抽样, 面积估计, 蓄积估计, 抽样精度

Abstract: Using historical data of forest resources inventory and regional planning information of Jiangsu province, a provincial population is stratified. Then, field work was conducted in randomly selected sampling plots in the strata where annual changes are obvious, while in the stratum where changes are not obvious, data from the field inventory data in previous year are directly referenced and stratified sampling estimation is carried out. In this way, annual updating of NFI data is realized at lower costs. This paper also carries out an experimental research by using the 2000-2005 inventory data of Jiangsu province, and the results show that it is feasible.

Key words: NFI, annual data updating, stratified sampling, area estimation, volume estimation, sampling precision

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