Table 1. Criteria of land use/cover types used in selecting the training data for creating the classification models.
All training data were collected using high resolution imagery in Google Earth.
Land use/cover types | Criteria |
---|---|
Forest | Areas of natural or semi natural tall woody vegetation cover (≥5 m) generally with more moderate canopy (≥80% or more cells in the training polygons are trees that means ≥80% forest canopy in a pixel). |
Shrub land | Natural or semi natural shrub vegetation generally with a more opened canopy and short woody vegetation (<5 m), where 80% or more cells in the training polygons were shrubs. |
Agriculture/Pasture | Areas cover with annual or biannual crops and/or fallow lands mixed with grasslands Often with clear signs of cultivation (i.e., presence of linear till rows). |
Plantation | Stand of trees or shrubs cultivated in rows for commercial purposes. This class includes eucalyptus, coffee, fruit trees palm and coconut trees. |
Urban/infrastructure | Area with human-made structures including Residential, commercial, industrial, transportation, roads, and mixed urban where more than 95% of cells in training polygons were infrastructure. |
Barren land | Areas of exposed soil and barren area with less than 20% vegetation cover |
Water | River, open water, lakes, ponds, reservoirs. |