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Table 2 Data sources and sampling designs for REDD monitoring

From: Implications of sampling design and sample size for national carbon accounting systems

Data sources

Sampling design

Estimation procedures for means and variances of the mean (from [15])

Field plots

Simple random sampling

y ¯ = i = 1 n y i n ; v( y ¯ )= i = 1 n ( y i y ¯ ) 2 n ( n 1 )

 

Systematic sampling

 

Field plots & full coverage remote sensing imagery

Stratified sampling

Example: field plots and Spot satellite imagery

y ¯ st = h = 1 L A h A i = 1 n h y hi n h

v ( y ¯ st ) = h = 1 L ( A h A ) 2 s h 2 n h ;

 

Regression estimators

Example: field plots and TerraSarX (radar)

y ¯ lr = y ¯ + b( X ¯ x ¯ )

v ( y ¯ lr ) i = 1 n [ ( y i y ¯ ) b ( x i x ¯ ) ] 2 n(n 2)

Field plots & partial coverage remote sensing imagery

2-phase sampling for stratification (double sampling for stratification)

Example: field plots & aerial photography

y ̄ ds = h = 1 L n h n’ y ̄ h = h = 1 L w h y ̄ h

v ( y ¯ ds ) = N - 1 N h = 1 L ( n h - 1 n  - 1 - n L - 1 N - 1 ) W h - s h 2 n + N - n N(n - 1 ) h = 1 L W h y ¯ h - y ¯ ds

where

s h 2 = 1 n h h = 1 L ( y h i - y ¯ h ) 2

 

2-phase sampling with regression estimators

Example: field plots & LiDAR

y ¯ lr = y ¯ + b( x ¯ ' x ¯ )

v ( y ¯ l r ) = s y . x 2 [ 1 n + ( x ¯ ' x ¯ ) 2 ( x ¯ ' x ¯ ) 2 ] + s y 2 s y . x 2 n ' s y 2 N

with s y . x 2 = 1 n 2 [ i = 1 n ( y i y ¯ ) 2 b 2 i = 1 n ( x i x ¯ ) 2 ]

  1. Where:
  2. yi = observation on field plot i; xi = observation in phase-1 sampling unit i; n = sample size, nh = sample size in stratum h; b = regression coefficient; N = population size; wh = weight of stratum h = Ah/A;
  3. A = inventory area; Ah = area in stratum h, h = 1, ..., L; sh2 = variance of y in stratum h;