Overview


Mapping, GIS & Surveying
Lions Bay, British Columbia, CanadaPosted: June 23rd, 2026Deadline: July 24th, 2026

Fit Score


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SUMMARY


The Village of Lions Bay requires a vendor to create a detailed, GIS-compatible inventory of its natural assets including assessment, mapping, risk analysis, and recommendations for climate action integration.

DESCRIPTION


A government authority in Lions Bay, British Columbia seeks a vendor to provide a comprehensive natural asset inventory service. The project entails developing a foundational and systematic spatial inventory of priority natural assets that can be managed alongside engineered infrastructure to support climate resilience, risk reduction, and long-term service delivery.

Key tasks include classifying and mapping natural assets such as forests, creeks, wetlands, shorelines, and other significant features while identifying the ecosystem services they provide, with an emphasis on climate resilience and hazard mitigation. The vendor will also perform a preliminary risk assessment of these assets regarding climate hazards like wildfires, flooding, slope failure, and sea level rise.

Additional responsibilities include providing actionable recommendations for integrating natural assets into the village’s asset management and climate action planning, building internal capacity among staff and council, and delivering outputs compatible with existing GIS systems and asset management tools. Assessing the condition and extent of priority assets is also required.

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Frequently asked questions

When is the submission deadline?
Submissions are due July 24, 2026.
Who is a good fit for this opportunity?
  • Expertise in natural asset inventory and classification
  • Experience with GIS and asset management system integration
  • Past performance on projects supporting climate resilience or local government initiatives
  • Team with environmental science and spatial analysis competencies
  • Familiarity with British Columbia’s environmental context

Analysis generated by Settle AI from the source RFP.

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