Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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 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
7 Hours
Testimonials (1)
Learning that the QGIS and a tool that can used by other different professionals such land survey
