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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

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