Google Earth Engine for Machine Learning & Change Detection

Become Expert in Spatial analysis & Remote Sensing for machine learning in land use / land cover in Google Earth Engine

Created by: Kate Alison
GIS & Data Science

Created by: Georg Müller
Data Science Experte

What Will I Learn?

• Students will gain access to and a thorough knowledge of the Google Earth Engine platform
• Implement machine learning algorithms on geospatial (satellite images) data in Earth Engine for LULC mapping
• Get introduced and advance JavaScript skills on Google Earth Engine platform
• Fully understand the main types of Machine Learning (supervised and unsupervised learning)
• Learn how to apply supervised and unsupervised Machine Learning algorithms in Google Earth Engine
• Learn how to obtain satellite data, apply image preprocessing, create training and validation data in Google Earth Engine
• Implement calculation of change detection (pre and post-event detection) based on spectral indices
• You'll have a copy of the codes used in the course for your reference

Requirements

• A working computer with internet connection
• An interest in working with geospatial data

Target audience

• Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field