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This Government Contract opportunity from Government of Canada was posted on September 11, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Marine Mammal Morphometric & Image Analysis

Closed
International

Contract Overview

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This subcontract for the Government of Canada's Department of Fisheries and Oceans involves providing specialized photogrammetric analysis of aerial drone imagery. The selected provider will use specialized image analysis software to refine morphometric measurements and compare markings against St. Lawrence beluga catalogues for individual identification. Additionally, the scope includes analyzing data to determine sex and pregnancy status to deliver validated morphometric data and identification results. The project is categorized under NAICS code 541715 and is to be performed in Quebec. Interested parties must respond by September 28, 2026, for this specialized marine mammal image analysis initiative.

General Info

Photogrammetric analysis of drone imagery for St. Lawrence beluga identification in Quebec.

Documents

This scope was carved out of 30008273.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

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Analysis of the Beluga Fattening Cycle using photogrammetry

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyGovernment of Canada → Department of Fisheries and Oceans
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs specialized photogrammetric analysis on aerial drone imagery for prime contractors on Department of Fisheries and Oceans (DFO) projects. Refines morphometric measurements using specialized image analysis software, compares markings against St. Lawrence beluga catalogues for individual identification, and analyzes data to differentiate sex and pregnancy status. Delivers validated morphometric data and identification results.

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Miguel
Hillary
Keith Deutsch
Christine

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