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林业资源管理 ›› 2018›› Issue (3): 71-74.doi: 10.13466/j.cnki.lyzygl.2018.03.013

• 科学研究 • 上一篇    下一篇

基于3S技术的林地面积抽样方法比较——以龙泉市为例

华一枝1,2(), 龚鑫烨1,2, 黄星旻1,2, 温小荣1,2(), 林国忠1,2   

  1. 1.南京林业大学 南方现代林业协同创新中心,南京 210037
    2.南京林业大学 林学院,南京 210037
  • 收稿日期:2018-03-07 修回日期:2018-04-23 出版日期:2018-06-28 发布日期:2020-09-20
  • 通讯作者: 温小荣
  • 作者简介:华一枝(1993-),女,江苏常州人,在读硕士,主要研究方向为3S技术与森林资源动态监测。Email:245390335@qq.com
  • 基金资助:
    国家重点研发计划(2016YFC0502704);江苏省林业三新工程项目(LYSX[2015]19);南京林业大学科技创新基金项目(CX2011-24);江苏高校优势学科建设工程自助项目(PAPD)

Comparison of Different Sampling Methods of Forest Land Area Based on 3S Technology—A Case Study of Longquan City

HUA Yizhi1,2(), GONG Xinye1,2, HUANG Xingmin1,2, WEN Xiaorong1,2(), LIN Guozhong1,2   

  1. 1. Co-Innovation for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,China
    2. Forestry College of Nanjing Forestry University,Nanjing 210037,China
  • Received:2018-03-07 Revised:2018-04-23 Online:2018-06-28 Published:2020-09-20
  • Contact: WEN Xiaorong

摘要:

以浙江省龙泉市林地面积为例,确定0.5km×0.5km,1km×1km,1.5km×1.5km,2km×2km等4种抽样框大小,在可靠性95%和抽样精度85%的水平上进行简单随机抽样、分层抽样和空间分层抽样。结果表明:1km×1km抽样框的总体变异性指数最小,抽样所需样本数量最少;以1km×1km抽样框进行随机抽样、分层抽样、空间分层抽样,空间分层抽样的抽样精度最高。最终确定1km×1km的空间分层抽样为最优方案,这是一种抽样成本低、抽样精度高、相对误差小的抽样方法,可为县级森林资源调查提供方法参考。

关键词: 林地面积, 抽样调查技术, 空间抽样, 空间自相关性, 龙泉市

Abstract:

This article takes forest land area in Longquan City of Zhejiang Province as an example,and sets 0.5km×0.5km,1km×1km,1.5km×1.5km and 2km×2km as four kinds of sample frame.With the reliability of 95% and the sampling precision of 85%,simple random sampling,stratified sampling and spatial stratified sampling are conducted.The overall variability index of 1km×1km sampling frame was the smallest,and the sampling plots required was the least.The plots with 1km×1km sampling frame were randomly sampled,stratified sampled,spatial sampling stratified,and spatial sampling stratified has the highest sampling precision.Finally,the spatial resolution of 1km×1km is determined as the optimal solution.The results show that the spatial sampling is a method with low sampling cost,high precision and small relative error in the sampling of forest area.The results provide references for the future forest resources survey at the county level.

Key words: forest area, sampling technique, spatial sampling, Spatial autocorrelation, Longquan City

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