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Forest and Grassland Resources Research >

2019 , Vol. 0 >Issue 4: 52 - 58

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2019.04.008

Analyses on the Impact of Cluster Sampling on Forest Resource Macro-monitoring in Tibet

  • Yuanjun XING ,
  • Dunzhun PUBU ,
  • Peng LUO ,
  • Dengping XU
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  • 1. Central South Forest Inventory and Planning Institute of National Forestry and Grassland Administration,Changsha 410014,China
    2. Forest Inventory and Planning Institute of Tibet Autonomous Region,Lhasa,Tibet 850000,China
    3. Research Institute of Forest Resource Information and Techniques,CAF,Beijing 100091
    4. Planning and Design Institute of Forest Products Industry,NFGA,Beijing 100010,China

Received date: 2019-06-17

  Revised date: 2019-07-25

  Online published: 2020-10-20

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Abstract

Forest resource monitoring is a basic work of forestry,which is an important part of national investigation.The field observation method to monitor macro-forest resource is time-consuming,labor-intensive and costly.Remote sensing technology provides a practical solution to accurately monitor macro-forest resource.However,sample design,sample size and remote sensing interpretation accuracy have attracted wide publicity in macro-forest resource monitoring.In this paper,cluster sampling and remote sensing visual interpretation methods were applied to estimate forest coverage rate of Tibet.At the same time,the impact of size variation in cluster sampling was analyzed using forest resources macro monitoring in Tibet 2015.The results showed that the sampling accuracy reached the highest 94.49% when the number of sample sizes of each sample plot increased to 25.There was no significant difference between estimated result and actual forest coverage,and the coefficient of variation was stable.Therefore,the cluster sampling method was a feasible and efficient method,and the workload was significantly lower than that of visual interpretation method.

Key words： forest resource monitoring; remote sensing interpretation; large plot; cluster sampling; Tibet

Cite this article

Yuanjun XING , Dunzhun PUBU , Peng LUO , Dengping XU . Analyses on the Impact of Cluster Sampling on Forest Resource Macro-monitoring in Tibet[J]. Forest and Grassland Resources Research, 2019 , 0(4) : 52 -58 . DOI: 10.13466/j.cnki.lyzygl.2019.04.008

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