SilvaCarbon E-learning: Continuous Degradation Detection (CODED) of Forest in Tropical Countries

24 January 2021

This e-learning course will introduce you to the idea of continuous degradation detection, or CODED, and how it can be used to monitor and forecast forest health.

By taking this course you will learn about:

  1. The challenges of forest degradation monitoring
  2. The methodology and purpose of CODED algorithm
  3. Spectral un-mixing and the Normalized Difference Fraction Index (NDFI)
  4. How degradation and natural disturbances are distinguished from deforestation


  • Remote sensing specialist in countries reporting to REDD+
  • Officials working on understanding the role of forest degradation on carbon emission
  • Students of remote sensing in forestry applications
  • Individuals interested in estimation of land cover change using earth observation
    Resources, and coding languages before starting this E-learning
    - Earth Engine Overview
    - Earth Engine 101 – JavaScript, Images, Collections, Map and Reduce

Duration: Approximately 2 hours.

Necessary Knowledge

  • Basic understanding of the use of the Google Earth Engine platform
  • E-Learning tutorial on area and accuracy estimation (read more about this course here). You can take this class after or before 
  • Review an important tutorial on CODED. Using this tutorial, you will have access to background documentation, codes, and examples

System Requirements
The online version of this course runs on the latest version of Chrome and Safari. There is no downloadable version of the course currently.

About SilvaCarbon
A US technical cooperation program to enhance countries’ capacity to monitor, measure, and report on carbon in their forests and other lands. SilvaCarbon supports tropical forested countries to: Build national forest monitoring systems, improve natural resource management using Forest monitoring data, and strengthen international collaboration.