Remote Sensing Analysis

Imagery on its own rarely settles a question. Classification, change detection and index analysis do. We build multi-date land use and land cover classifications with accuracy assessment reported, decadal built-up growth series that show the direction and rate of expansion, and thermal series that locate heat island hotspots.

Analysis runs on Google Earth Engine and open-source Python stacks, so the workflow is reproducible and can be re-run when new imagery arrives rather than rebuilt from scratch.

What you receive

• Supervised land use and land cover classification with class definitions
• Accuracy assessment: confusion matrix, producer and user accuracy, kappa
• Change detection matrices between date pairs, with area statistics
• Built-up extent time series with sprawl and direction metrics
• Land surface temperature and vegetation index rasters
• Chart pack and technical note ready for a report or a paper

Specification

Typical applications

• Master plan existing land use
• Urban growth projection
• Heat island and climate action planning
• Encroachment and change monitoring
• Academic and peer-reviewed research