ABOUT EVENT

Workshop Description

This workshop focuses on the use of Google Earth Engine (GEE), a cloud-based platform for planetary-scale satellite remote sensing and geospatial analysis. Participants will learn how to use GEE to search for and select satellite imagery, perform data pre-processing, and conduct land cover analysis using machine learning (ML) techniques. During the workshop, attendees can expect to log in to a GEE account and gain a basic understanding of concepts including pre-processing satellite remote data, machine learning algorithm-parameter tuning, machine learning-model training and accuracy assessment, model prediction, Land Cover Land Use (LCLU) and prepare a map in QGIS/ArcGIS using LCLU data.

Prerequisites

• Have an account on Google Earth Engine: https://code.earthengine.google.com/
• Have a modern web browser
• Be able to connect to the workshop on Zoom
• Basic understanding of Remote Sensing Instructor recommended links: https://code.earthengine.google.com/

Learning Objectives

This workshop aims to provide a general introduction on how to access the Google Cloud Computing platform and a basic understanding of how to filter and select remote sensing data based on cloud cover (%), by date, and satellite. Attendees will learn data preprocessing and have a basic understanding of the different types of machine learning (ML) parameter tuning, model training, prediction, accuracy assessment, and learn how to generate a Land Cover Land Use (LCLU) product.

Tools Used

• Google Earth Engine
• Modern web browser