Our Projects

This project involved the meticulous processing of raw LiDAR data sourced from government agencies. Key steps included quality assurance for data completeness and resolution, noise filtering, and precise classification of ground and non-ground points. From this enhanced data, a high-resolution Digital Elevation Model (DEM) was generated, followed by rigorous accuracy validation against known control points and reference datasets.

Leveraging the generated Digital Elevation Model, this project focused on comprehensive slope analysis. Slope gradients were computed using advanced GIS algorithms, and then classified into distinct categories (e.g., moderate, steep, very steep) to identify areas of potential concern. This analysis formed the basis for producing detailed steep slope maps to high cartographic standards.

This project delivers an automated addressing data aggregation system for CSRD and its member municipalities to support NG-9-1-1 readiness. The solution centralizes multi-jurisdictional addressing and road updates into a standardized SSAP environment aligned with NENA requirements, enabling consistent intake, validation, and publishing across diverse municipal workflows. The end-to-end system was intentionally designed to accommodate CSRD’s existing software infrastructure to ensure long-term compatibility, streamlined maintenance, and minimal disruption to established GIS operations. The workflow supports multiple submission methods (web editing and structured file-based updates) and applies automated conformance, QA/QC checks, and change tracking to ensure completeness, schema compliance, and reliable, repeatable update cycles. A traditional versioning approach (DEFAULT / QA / municipality editor versions) provides controlled review and staged promotion of edits prior to release.

This project delivered an NG9-1-1 readiness framework for the District of North Saanich by standardizing and preparing core GIS layers—address points, road centerlines, and related emergency response attributes—into a NENA-aligned SSAP dataset. The work focused on creating a reliable, repeatable pathway from municipal source data to NG-9-1-1-ready deliverables through structured conformance rules, schema alignment, and quality validation. To further modernize day-to-day addressing workflows, a web application was developed to automate and streamline addressing data operations—supporting consistent updates, reducing manual processing, and improving operational visibility for staff. The overall solution was designed to integrate with the District’s existing GIS environment to ensure long-term compatibility, streamlined maintenance, and clear operational ownership. Automated QA/QC checks and reporting were incorporated to reduce review time and support ongoing updates as municipal addressing evolves.