Implementation steps and correlative calculation

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Sampling survey to the total area of the forest of Heshun county in Shanxi province in year 2000

 

Implementation steps:

 
  1. Calculate the optimal sample size n according to the known precision requirement;
  2. Randomly extract n sample pixels from 2,697,460 pixels with computer pseudo-random number;
  3. Calculate the mean of sampling pixels, then multiply 2,697,460, the result is estimated total area (unit m2 ) , and estimate the sampling precision.
 

Calculate:

Estimate the average forest area of each pixel firstly, then the mean multiply the total pixel size, the result is the total forest area of the county.
  1. The absolute error of the average forest area of each pixel (sample unit) is

  2. The total sample size is 101 in fact
    The sampling size after extending 10% is 112
  3. Estimate the total forest area according to the mean of 112 sampling pixels:

 

Sample variance:
Sampling precision:
Note: The s tandard deviation of the forest area in pixel ; Confidence level ; All the image pixel size N in the re search areas; Sample value ; Sample mean.

     
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