Analysis and Proof of Bias and Efficiency of Different Sampling Methods for Forest Area Estimation

doi:10.13466/j.cnki.lyzygl.2016.04.010

Abstract

Abstract: Continuous Forest Inventory (CFI) is the main method to get the China's forest area,which is conducted in a systematic sampling manner.In this paper,bias and efficiency of these three plot forest measurement methods will be proved by theoretical analysis.The result shows that:1.CV is unbiased,and it has the highest efficiency;2.PLB is also unbiased,but the efficiency is lower than CV;3.DLB is biased,however the population proportion of forest is almost 0 or 1,the result is nearly unbiased;4.CV method,which is unbiased and has high efficiency,should be chosen for remote sensing large-plot inventory.

Key words: continuous forest inventory, forest area estimation, sampling, unbiased, efficiency

CLC Number:

S757.2

GE Hongli, MENG Yuanyuan. Analysis and Proof of Bias and Efficiency of Different Sampling Methods for Forest Area Estimation[J]. FOREST RESOURCES WANAGEMENT, 2016, 0(4): 47-52.

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Analysis and Proof of Bias and Efficiency of Different Sampling Methods for Forest Area Estimation

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