A Machine Learning and Cross-Validation Approach for the Discrimination of Vegetation Physiognomic Types Using Satellite Based Multispectral and Multitemporal Data

Table 1

Vegetation physiognomy types used in the research.

Physiognomy types	Description
(1) Evergreen Coniferous Forest (ECF)	Forests dominated by conifer trees that retain leaves throughout the year
(2) Evergreen Broadleaf Forest (EBF)	Forests dominated by broadleaf trees that retain leaves throughout the year
(3) Deciduous Coniferous Forest (DCF)	Forests dominated by conifer trees that shed leaves seasonally
(4) Deciduous Broadleaf Forest (DBF)	Forests dominated by broadleaf trees that shed leaves seasonally
(5) Shrubs	Woody vegetation either evergreen or deciduous with less than 3 meters tall and more than 10% cover
(6) Herbs	Vegetation land covered by natural grasses or herbs with cover over 10%