The Remote Sensing Applications in QGIS course, will teach you how to install/setup QGIS and associated plugins. You will learn how to interpret and analyze remotely sensed satellite imagery. I will walk you through each stage using step-by-step lectures and imagery. This course uses datasets based on real-life GIS projects using Open-Source Quantum GIS software. You will gain an understanding what a Geographic Information System is and how Remote Sensing analysis can be leveraged to help solve real world issues.

• How to download, Install, and configure QGIS, and the plugins required for remote sensing analysis using Microsoft Windows 11/10.
• How to initiate a new GIS project using the datasets provided.
• How to enhance and analyze Sentinel 2 imagery of the abandoned Aldermac Mine site, located in the region of Abitibi–Témiscamingue, Quebec.
• How to use supervised classification machine learning algorithms to detect vegetation changes at the Athabasca oilsands, located around Fort McMurray, Alberta, Canada, using Sentinel 2 and Digital Surface Model imagery.
• How to create a Layout and publish their maps to print and digital formats (e.g. Image, Geo-PDF).
• How to conduct a terrain analysis of Mt. St. Helens and display it as a high-resolution 3D scene.
• How to analyze LiDAR data to create a 2, 4, 6, 8 and 10m Sea Level Rise Map of Victoria, British Columbia, Canada.

Who is the target audience?

Students with 1 year or more experience using GIS and related software.

How much prior geospatial experience should students have?

Students should have 1 year or more experience using GIS and related software