欢迎访问林业科学,今天是

林业科学 ›› 2007, Vol. 43 ›› Issue (06): 77-82.doi: 10.11707/j.1001-7488.20070614

• 论文及研究报告 • 上一篇    下一篇

遥感、地面三相抽样及其在森林资源年度监测面积估计中的应用

葛宏立1 周国模2 张国江2 杜群2 徐达2   

  1. 1.浙江林学院环境科技学院,临安311300;2.浙江省森林资源监测中心,杭州310020
  • 收稿日期:2006-05-19 修回日期:1900-01-01 出版日期:2007-06-25 发布日期:2007-06-25

RS-Land Three-Phase Sampling Technique and Its Application to Area Estimation in Annual Forest Inventory

Ge Hongli1,Zhou Guomo2,Zhang Guojiang2,Du Qun2,Xu Da2   

  1. 1. School of Environment Technology, Zhejiang Forestry College Lin'an 311300;2. Monitoring Center for Forest Resources in Zhejiang Province Hangzhou 310020
  • Received:2006-05-19 Revised:1900-01-01 Online:2007-06-25 Published:2007-06-25

摘要:

讨论如何利用遥感数据、不同时间调查的地面样地数据之间的关系,构造三相抽样估计方法,提高年度监测的面积估计精度。提出将遥感判读样地作为一相样本,全部地面样地的前期数据作为二相样本,年度监测地面样地作为三相样本,构成三相抽样框架的方法。三相样本是一、二相样本的子集,二相样本是一相样本的子集。用一、二相样本进行前期面积的二相抽样估计,再将结果用于二、三相样本的二相估计,完成年度监测面积的三相抽样估计。在第一个年度监测年,二相样本就是周期监测年调查的全部地面样地,从第二个年度监测年开始,二相样本的调查年份可以不在同一年。给出年度监测面积成数的三相抽样估计公式及相应的方差估计极限分布公式。用浙江省实际数据计算的结果表明:三相抽样精度明显比其他估计方法高。

关键词: 森林资源年度监测, 三相抽样, 遥感技术, 面积估计

Abstract:

To conduct annual forest inventories (AFI) is a changing trend in the forest monitoring systems in the world. Because ground plots measured each year in an AFI system are much less than in a traditional inventory system, it is essential to improve the estimation precision by using new techniques. The issue discussed in this paper was about how to improve the area estimation precision in an AFI year by configuring a three-phase sampling framework which takes good use of the relationship between remotely sensed imagery plot data, ground plot data measured in different time. The three-phase sampling approach proposed here takes the remotely sensed imagery plot data as the first-phase sample, the data of all plots in the population measured former as the second-phase sample, and the data of plots measured in the AFI year as the third-phase sample. The third-phase sample was a subset of the first and the second samples, and the second-phase sample was a subset of the first-phase sample. First, an area estimation was made using a two-phase sampling technique and the first and the second sample data. Then this estimation was used to another two-phase sampling which used the data of the second and the third samples. These two steps maked up the complete three-phase sampling technique. In the first AFI year, the second-phase sample was composed of the plot data measured in the last periodic inventory. From the second AFI year and on, the data of the second-phase sample could be from different years. The paper presents three-phase sampling estimation formula and variance and covariance formula. A study cased in Zhejiang Province, China, showed the fact that the three-phase sampling could produce the highest AFI area estimation precision.

Key words: annual forest inventory, three-phase sampling, remote sensing, area estimation