Remote Sensing in QGIS: Essentials of Satellite Image Analys

About this course

Remote Sensing and Satellite Image Analysis for Beginners in QGISAre 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 assignmentCourse FocusThis 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 CourseInstead 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 projectWho This Course Is ForThis course is i