The Advanced Google Earth Engine two-day course is designed to build upon foundation knowledge to deliver high performing, well structured scripts that incorporate advanced features of Google Earth Engine. Attendees will learn how to leverage shared libraries, functions and UI components to deliver complex processes that perform significant analysis on enormous imagery and feature collections.

• Google Earth Engine Fundamentals or equivalent skills

• Calibration of Spectral Data
• Cloud Filtering – Simple, Intermediate & Advanced Techniques
• Sub-Pixel Analysis – Spectral Unmixing
• Neighbourhood Analysis - Morphological Operations
• Quantification and Analysis of Image Texture
• Image Segmentation
• Time-Series Modelling
• Cumulative Cost Analysis
• Thermal Data Pre-processing and Analysis
• Radar Data Pre-processing and Analysis
• Topographic Data Analysis

Geospatial Object-Based Image Analysis. 

• Covers the segmentation of a landscape into image objects and their subsequent classification. Classification is based upon a range of derived predictors including spectral measurements and statistical aggregates, object geometry, and object relations.

SAR Data processing for the detection of deforestation. 

• Covers the pre-processing and preparation of a temporal dataset of SAR data. Change detection is used to identify areas of significant spatial structural change indicative of deforestation.