
Download qgis from qgis.org, choose the 64-bit windows installer, and follow the standard installation steps to launch the QGIS desktop version for geospatial analysis.
Learn to create a multilayer layer stack from Landsat 8 bands in QGIS. Then visualize true color and false color composites to highlight vegetation and deforestation.
Create a map from change detection results in QGIS by configuring a print layout, adding a map, legend, scale bar, title, and north arrow; export as image and save project.
QGIS and Core Remote Sensing: Land Use/Land Cover Mapping Course
Are you ready to create Land Use and Land Cover (LULC) maps but unsure how to begin? Do traditional GIS or Remote Sensing resources feel too theoretical and lack clear, practical steps? This course provides a complete introduction to applied LULC mapping and change detection using QGIS, one of the leading open-source GIS tools.
Designed for beginners and intermediate users, this 4.5-hour course covers both the theoretical concepts and the hands-on practical workflows required for successful geospatial analysis. You will learn how to work with modern satellite data, run classification algorithms, produce change maps, and perform accuracy assessments using the latest QGIS version.
Course Highlights
• Practical LULC mapping and change detection using QGIS
• Updated workflows aligned with the newest QGIS version
• Clear theoretical foundation in Remote Sensing and GIS
• Satellite data acquisition and preprocessing
• Machine learning classification techniques
• Spectral indices, accuracy assessment, and workflow validation
• Creating change maps for reports and research
• Hands-on exercises and downloadable datasets
Course Focus
This course teaches the full workflow for LULC mapping and change detection—starting from data preparation, through analysis, to generating final maps. By course completion, you will understand the core principles of Remote Sensing, GIS classification, and QGIS-based analysis, and you will be able to produce professional maps for academic, research, and applied geospatial projects.
What You Will Learn
• Installation and configuration of QGIS for Remote Sensing tasks
• Understanding the QGIS interface, tools, and relevant plug-ins
• Classifying satellite imagery using machine learning classifiers
• Collecting training and validation samples for accuracy assessment
• Performing LULC change detection using the Semi-Automatic Classification Plug-in
• Designing and exporting change detection maps for reports and presentations
Who Should Enroll
This course is ideal for:
• Geographers
• GIS and Remote Sensing professionals
• Environmental scientists and ecologists
• Programmers and social scientists working with geospatial data
• Geologists and land management specialists
• Anyone who needs to produce LULC maps for academic or applied projects
Whether you are new to LULC mapping or want to strengthen your applied QGIS and Remote Sensing skills, this course provides a clear pathway to practical geospatial competence.
Included in the Course
• Downloadable practical datasets
• Step-by-step instructions for each exercise
• Project files, workflows, and supplemental resources
Enroll today and take the first step toward mastering LULC mapping and change detection in QGIS.