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) |