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FOREST RESOURCES WANAGEMENT ›› 2018›› Issue (3): 71-74.doi: 10.13466/j.cnki.lyzygl.2018.03.013

• Scientific Research • Previous Articles     Next Articles

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 E-mail:245390335@qq.com;njw9872@163.com

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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