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3,139 students
Remote Sensing in QGIS: Essentials of Satellite Image Analys
Become proficient in applied Remote Sensing in QGIS & spatial analysis and core concepts in QGIS
Created byKatie Alison
Last updated 11/2025
English
What you'll learn
- Acquire a thorough understanding of satellite remote sensing principles
- Learn how to apply satellite remote sensing principles in practice
- Learn the most popular open-source GIS and Remote Sensing software tools (QGIS) and Semi-automated classification (SCP) plugin
- Create your first GIS maps for your reports/presentations in QGIS
- Learn how to obtain satellite data, apply Remote Sensing image preprocessing, create training and validation data in QGIS
- Learn abouit open source Remote Sensing software tools and data portals
- Apply Land use and Land Cover (LULC) Mapping and Change Detection in QGIS
- Learn how to plan and practise to implement your first geospatial project based on Remote Sensing data
- You'll have a copy of the practicals step-by-step manuals used in the course for your reference to use for your Remote Sensing analysis in QGIS
- You'll also have plenty of handy hints and tips during this course for QGIS and Remote Sensing analysis
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Course content
9 sections • 45 lectures • 5h 11m total length
Requirements
- A working computer
- The course will be demonstrated using a QGIS version of Windows PC. Mac and Linux users will have to adapt the instructions to their operating systems.
Description
Remote Sensing and Satellite Image Analysis for Beginners in QGIS
Are you ready to work with satellite imagery but not sure how to start? Many Remote Sensing resources are theoretical, difficult to follow, or lack practical examples. This course provides a clear, step-by-step introduction to applied Remote Sensing using QGIS, combining essential theory with real project workflows.
Course Highlights
• Practical Remote Sensing analysis in QGIS
• Clear and concise theoretical explanations
• Real-world project implementation
• QGIS open-source software for Remote Sensing
• Image preprocessing and spectral index calculation
• Land use and land cover classification using Machine Learning
• Change detection and GIS mapping
• Independent project-based assignment
Course Focus
This 4-hour introductory course gives you the foundational skills needed to work with satellite data in QGIS. You will learn how to preprocess imagery, compute spectral indices, run land use and land cover (LULC) classification, detect changes, and create clear GIS maps. By the end, you will understand both the concepts and the full workflow for applied Remote Sensing.
Why Choose This Course
Instead of focusing only on theory, this course shows you exactly how to perform Remote Sensing analyses in QGIS. You will gain confidence working with satellite imagery and learn practical methods that you can apply immediately in your own projects, research, or professional tasks.
What You Will Learn
• Basics of Remote Sensing
• Installing and using QGIS for image analysis
• Image preprocessing and spectral index calculation
• LULC classification using Machine Learning
• Change detection with satellite imagery
• Creating GIS maps from Remote Sensing results
• Completing an independent Remote Sensing project
Who This Course Is For
This course is ideal for geographers, environmental scientists, programmers, social scientists, geologists, and anyone who wants to apply geospatial analysis and satellite Remote Sensing using QGIS. No prior Remote Sensing experience is required.
Included in the Course
You will receive downloadable materials, scripts, datasets, and clear instructions for all practical exercises. Enroll today and begin your journey into practical Remote Sensing with QGIS.
Who this course is for:
- Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field