Projects & case studies
A representative sample of GIS, remote sensing, environmental data and Python automation work. Details are illustrative of the type of work we do — get in touch to discuss project-specific results.
Multi-Temporal Land Cover Change Detection
Landsat & Sentinel-2 classification pipeline quantifying land cover change over a 15-year period, automated with Python and Google Earth Engine.
Automated Environmental Compliance Dashboard
Python-driven dashboard pulling field monitoring data into a live compliance tracking system with automated exception flags.
Flood Susceptibility Mapping
Multi-criteria GIS model combining DEM, rainfall and land-use layers to map flood-prone zones for infrastructure planning.
Vegetation Health Monitoring Pipeline
Scheduled NDVI/EVI time-series pipeline processing satellite imagery to flag vegetation stress across monitored sites.
Spatial Data Infrastructure for Environmental Reporting
PostGIS-backed spatial database and QA/QC workflow standardizing environmental datasets across multiple field teams.
EIA Baseline Spatial Assessment
Spatial baseline assessment covering land use, hydrology and sensitive receptors to support an Environmental Impact Assessment submission.