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Course Outline
• Introduction to remote sensing: Satellite imagery and data sources
• Importing and visualizing raster data in QGIS
• Image pre-processing: Band combinations, clipping, and reprojection
• Supervised and unsupervised image classification
• NDVI and other spectral indices for vegetation and land cover analysis
• Accuracy assessment and classification validation
• Exporting results and integration with other GIS tools
Requirements
- Completion of the QGIS Beginner course or previous experience using QGIS (including basic functions, working with layers, and projections)
- Familiarity with the distinction between raster and vector data
- Interest or a foundational understanding of remote sensing concepts (such as satellite images and NDVI) is beneficial
7 Hours
Testimonials (1)
Doing Exercise