Course Outline
• Overview of remote sensing: Satellite imagery and available data resources for government applications
• Loading and displaying raster data in QGIS
• Pre-processing procedures: Band compositing, clipping, and coordinate reprojection
• Implementation of supervised and unsupervised image classification techniques
• Application of NDVI and spectral indices to support vegetation and land cover analysis for government decision-making
• Conducting accuracy assessments and validating classification results
• Exporting analytical outputs and integrating findings with other GIS platforms for government use
Requirements
- Successful completion of the QGIS Beginner level curriculum or demonstrated proficiency in QGIS core capabilities, including layer management and coordinate reference system operations, suitable for government analysts.
- Working knowledge distinguishing between raster and vector data structures.
- Aptitude for remote sensing principles, such as satellite imagery interpretation and Normalized Difference Vegetation Index (NDVI) analysis, is advantageous.
Testimonials (1)
Learning that the QGIS and a tool that can used by other different professionals such land survey
