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Funded Projects

GeoConnections Announcement of Opportunities for Fiscal Years 2025-2026 and 2026-2027

Natural Resources Canada is pleased to announce the release of our GeoConnections Program’s Announcement of Opportunities for fiscal years 2025-2026 and 2026-2027!

Please refer to the GeoConnections website for additional information surrounding funding eligibility, project requirements and the proposal template.

Contribution Projects Funded by GeoConnections

GeoConnections is an ongoing Program with the mandate and responsibility to lead the modernization of the Canadian Geospatial Data Infrastructure (CGDI). The CGDI is the collection of geospatial data, standards, policies, applications, and governance that facilitate its access, use, integration, and preservation.

2024-2025 Contributions


Agreement Title: Emergency Management Citizen Science GeoInsights

Recipient Legal Name: Manitoba Emergency Management Organization

City: Winnipeg

Recipient Province or Territory: Manitoba

Agreement Value in CAD: $250,000

Project Objective and Expected Results:

The objective of this project is to enhance preparedness and response across Manitoba by incorporating real time crowd-sourcing inputs from citizens across the province. This information will be integrated into a proof of concept within a geospatial format for visualization and prioritization for the Manitoba Emergency Management Organization and its emergency management partners to respond accordingly.


Agreement Title: A FAIR+ LiDAR application portal for spatial data visualization and analysis at scale

Recipient Legal Name: Tula Foundation

City: Victoria

Recipient Province or Territory: British Columbia

Agreement Value in CAD: $250,000

Project Objective and Expected Results:

The primary objective of this project is to develop and test a scalable Light Detection and Ranging (LiDAR) cloud optimized Application Programming Interface (API) that is web-based, adheres to FAIR+ (Findable, Accessible, Interoperable and Reuseable) principles and easily accessible by multiple user groups. The API will be designed to make LiDAR data discoverable and to provide a set of analysis tools and export format for GIS analysis. A key component of the cloud-based LiDAR software will be to interface with time series spatial data that shows elevation change through time.


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