Project overview
Multi-temporal satellite imagery and spatial analysis were used to classify land cover, identify historical change, and develop evidence for future land-use prediction and more sustainable spatial planning.
The project challenge
Sahiwal required a consistent view of historical land-cover change and a defensible basis for exploring future spatial patterns across a rapidly changing urban landscape.
Technical approach
- Selected multi-temporal imagery and prepared consistent spatial extents and classification inputs.
- Developed land-use/land-cover classes and reviewed their spatial and thematic consistency across years.
- Calculated change transitions to identify where urbanisation and other land-cover conversions occurred.
- Prepared variables and a modelling framework for exploring plausible future land-use patterns.
- Mapped results in a form suitable for research interpretation and spatial-planning discussion.
Key deliverables
- Multi-year LULC maps
- Change-detection matrices and maps
- Future land-use prediction outputs
- GIS-ready datasets
- Technical presentation and interpretation
Decision value
- A comparable historical land-cover record
- Identification of dominant conversion patterns
- Evidence for discussing future urban growth
- A repeatable framework for updating the analysis
QUALITY & INTERPRETATION
Classification consistency, imagery comparability, class definition, validation evidence, and the uncertainty of future scenarios are treated explicitly.
