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Bhutan HFLD Training
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Day 1 · Earth Engine foundations
ART-TREES HFLD requirements
Introduction to Earth Engine
The Code Editor and data catalog
JavaScript basics
Image collections, filters and reducers
Custom functions and map()
Day 1 recap quiz
Day 2 · Composites
Remote sensing fundamentals
Spectral indices
Mosaics and composites
Sentinel-2 MRV composite
Landsat MRV composite
Importing and exporting data
Day 2 recap quiz
Day 3 · Classification
Random Forest
Calculating covariates
Forest primitives with machine learning
Change detection and loss strata
Day 3 recap quiz
Day 4 · Land cover & embeddings
RLCMS overview and terms
Collecting training data
Assemblage with decision rules
Satellite embeddings
Classification and similarity with embeddings
Collect Earth Online
Day 4 recap quiz
Day 5 · Accuracy & area
Designing a stratified sample
Determining sample size
Stratified sampling in Earth Engine
Accuracy assessment and area estimation
Reporting and documentation
Day 5 recap quiz
Capstone project
Labs
Lab: Sample size calculator
Lab: Accuracy and area estimator
Lab: Spectral index explorer
Lab: Decision tree playground
Lab: Assemblage rule builder
Lab: Embedding similarity
How-to guides
How-to guides
Debug Earth Engine errors
Explanation
Explanation
TREES 2.0 → 3.0 for HFLD
Reference
Script library
Asset catalogue
Glossary
Cheat sheet & reading
About
About and credits
GitHub
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Lab: Decision tree playground
Build a decision tree split by split, then see a forest of trees vote.
