This lab tutorial will map countrywide forest cover using training data derived from the Global Ecosystem Dynamics Investigation GEDI's Level 2A (100 relative height (RH) metrics). We will also use Sentinel-1, Sentinel-2, and elevation data as predictor variables in the random forest (RF) model. We will use the Zimbabwe Forestry Commission's definition of forest and woodlands. The Forestry Commission defines natural moist forest as land with moist evergreen and deciduous species with a canopy cover above 80% and a tree height of more than 15 m. Woodland includes open to dense areas with a canopy cover of between 20% and 80% and tree height between 5 m and 15 m.

Link to course and scripts:
[ Ссылка ]

Subscribe to my Youtube channel

Subscribe to our courses:
[ Ссылка ]

Buy my book at:
[ Ссылка ]

свернуть