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Table 1 Values (in %) of relative standard errors obtained from the four strategies adopted in estimating remote sensing-based forest cover for the three artificial populations P1, P2 and P3 and each combination of n and m. Values in brackets represent the approximate expectations of the standard error estimators adopted with OPSS

From: Sampling strategies for estimating forest cover from remote sensing-based two-stage inventories

Population nxm N m SRSWOR  +  HT OPSS  +  HT SRSWOR  +  D OPSS  +  D
P1 100 4 25 25.0 22.1 (23.2) 14.2 10.3 (10.3)
\( \overline{Y}=0.62 \) 10 10 18.2 14.4 (15.3) 12.9 7.8 (8.1)
R 2 = 0.80 25 4 14.2 9.2 (10.8) 11.7 6.6 (7.3)
400 16 25 12.3 9.8 (11.5) 7.1 4.7 (5.3)
20 20 11.1 8.9 (10.7) 6.5 4.8 (5.7)
25 16 10.0 8.0 (9.9) 5.9 4.7 (5.7)
2000 40 50 7.1 5.2 (7.0) 3.4 2.2 (3.2)
50 40 6.3 4.4 (6.6) 3.2 2.4 (3.5)
100 20 4.5 2.9 (5.0) 2.8 1.9 (3.5)
P2 100 4 25 28.7 25.9 (27.1) 13.4 8.7 (8.7)
\( \overline{Y}=0.59 \) 10 10 20.4 16.7 (17.7) 12.8 7.1 (7.4)
R 2 = 0.92 25 4 15.4 10.2 (12.2) 11.8 6.4 (7.0)
400 16 25 14.2 11.4 (13.5) 11.8 4.2 (4.7)
20 20 12.7 10.3 (12.4) 6.2 4.5 (5.3)
25 16 11.4 9.1 (11.4) 5.7 4.5 (5.5)
2000 40 50 8.3 5.8 (8.2) 3.0 1.9 (2.7)
50 40 7.3 5.1 (7.6) 2.8 2.2 (3.3)
100 20 5.2 3.4 (5.7) 2.7 1.8 (3.4)
P3 100 4 25 33.0 30.1 (31.6) 11.8 5.2 (5.1)
\( \overline{Y}=0.57 \) 10 10 22.9 19.1 (20.2) 12.2 5.3 (5.6)
R 2 = 0.99 25 4 16.7 11.0 (13.4) 11.6 5.3 (5.8)
400 16 25 16.3 13.2 (15.6) 5.9 2.6 (3.0)
20 20 14.6 11.9 (14.3) 5.6 3.5 (4.3)
25 16 13.1 10.4 (13.0) 5.2 3.8 (4.8)
2000 40 50 9.6 6.5 (9.5) 2.3 1.1 (1.6)
50 40 8.5 5.8 (8.6) 2.3 1.6 (2.7)
100 20 5.9 3.8 (6.3) 2.5 1.5 (3.1)