Google Earth Engine tools for CCDC

This is the documentation for the toolbox to use the Continuous Change Detection and Classification (CCDC) algorithm on the Google Earth Engine.

CCDC is used to monitor changes in land cover, land use, or condition using dense time series of satellite imagery. As the name suggests, there are two primary components: change detection and classification. CCDC has primarily been applied using Landsat data, but these tools are designed to be data agnostic. This toolbox provides applications and a Javascript API for performing all necessary steps in using CCDC, which include:

• Visualizing pixel-based time series and CCDC model fits

• Performing change detection for entire study regions

• Viewing CCDC coefficient images

• Producing “synthetic” imagery

• Land cover classification

• Creating maps of land cover/use change

This documentation and the tools are a work in progress. For any questions contact us at: parevalo@bu.edu or bullocke@bu.edu.

Contents

Background

• Background

Documentation

Tutorials

• CCDC Results Visualization Tutorial (GUI)
  • Creating charts of time series and interacting with them
  • Loading CCDC results
  • Visualizing CCD coefficients and change information
• Land cover tutorial (GUI)
  • CCDC Classification Interface
  • 1. Classify time series segments
  • 2. Create Land Cover and Land Cover Change Maps
• Land cover tutorial (API)
  • Part 1: Submit Change Detection
  • Part 2: Prepare training data
  • Part 3: Classify time series segments
  • Part 4: Land Cover Mapping
• Obtaining coefficients, changes and synthetic images (API)
  • Access the API and load CCDC results
  • Obtain CCDC coefficients and synthetic images

API REFERENCE

• API REFERENCE
  • CCDC
  • Inputs
  • Classification
  • Dates
  • Change