Table 1 Predicted areas of hydromorphic soils for the study area analyzed by federal states and land use classifications according to Souza et al. (2020)8.
From: Remote sensing imagery detects hydromorphic soils hidden under agriculture system
Study area | TA (km2) | Area (km2) | ||
|---|---|---|---|---|
NH | H | H (%) | ||
735,953,8 | 629,605,7 | 106,348,2 | 14.5 | |
States | PA (%) | Area (km2) | ||
|---|---|---|---|---|
NH | H | H (%) | ||
Federal district | 89.4 | 3074.2 | 2077.5 | 40.3 |
Goiás | 57.9 | 162,072.2 | 35,116.5 | 17.8 |
Minas Gerais | 22.8 | 112,925.2 | 20,646.0 | 15.5 |
Mato Grosso do Sul | 44.8 | 137,812.8 | 22,293.0 | 13.9 |
Mato Grosso | 5.8 | 37,488.6 | 14,617.5 | 28.1 |
Paraná | 19.9 | 37,065.8 | 2646.1 | 6.7 |
São Paulo | 59.7 | 139,166.9 | 8951.4 | 6.0 |
Land use | TA (km2) | Area (km2) | ||
|---|---|---|---|---|
NH | H | H (%) | ||
Sugar cane | 86,872.4 | 84,209.1 | 2663.3 | 3.1 |
Soybean | 113,553.9 | 97,037.2 | 16,516.7 | 14.5 |
Forest Plantation | 19,771.9 | 17,728.0 | 2043.8 | 10.3 |
Pasture | 267,460.2 | 227,509.8 | 39,950.3 | 14.9 |
Temporary Crop | 11,439.8 | 10,015.0 | 1424.8 | 12.5 |
Perennial Corp | 5345.4 | 4926.1 | 419.3 | 7.8 |
