Course Outline
• Introduction to remote sensing: Satellite imagery and data sources for government use.
• Importing and visualizing raster data in QGIS for government applications.
• Image pre-processing: Band combinations, clipping, and reprojection for enhanced data analysis for government projects.
• Supervised and unsupervised image classification techniques for government mapping and land management.
• NDVI and other spectral indices for vegetation and land cover analysis in public sector workflows.
• Accuracy assessment and classification validation to ensure reliable data for government decision-making.
• Exporting results and integration with other GIS tools to support comprehensive government operations.
Requirements
- Completion of QGIS Beginner level or prior experience using QGIS (including basic functions, working with layers, and projections)
- Familiarity with the distinction between raster and vector data
- An interest or basic understanding of remote sensing concepts (such as satellite imagery and NDVI) is beneficial for government applications
Testimonials (1)
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
