Welcome to deforest’s documentation!

The DEnse FOREst Time Series (DEFOREST) tool is a method for detecting changes in forest cover in a time series of Sentinel-2 data.

The processing chain does the following:

  • Takes Sentinel-2 data (L1C/L2A) as input.
  • Trains a model to robustly identify forest/nonforest across any phenological state.
  • Classifies each image to a probability of forest cover.
  • Combines these images under a Bayesian framework to identify forest cover change.
  • Outputs maps of forest cover change, and ‘early warnings’ of change in recent imagery.