QGIS (Intermediate Level) Remote Sensing and Image Classification with QGIS

• Completion of QGIS Beginner level or prior experience using QGIS (basic functions, working with layers, projections)
• Familiarity with raster vs vector data
• Interest or basic understanding of remote sensing concepts (e.g. satellite images, NDVI) is helpful

This instructor-led, live training (online ) intermediate level on QGIS aimed to teach participants on how to work with satellite imagery and perform image classification using QGIS.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

 •            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