Title
Analysis of the Beluga Fattening Cycle using photogrammetry
Reference number
cb-529-29122275
Solicitation number
30008283
Publication date
2026-09-11
Tender closing date
2026-09-28T13:00:00
Expected contract start date
2026-10-01
Expected contract end date
2029-03-31
Unspsc description
*Fishery data collection or distribution
Notice type
Request for Proposal
Procurement method
Competitive - Traditional
Selection criteria
Highest Combined Rating of Technical Merit and Price
Trade agreements
*Canada-European Union Comprehensive Economic and Trade Agreement (CETA)
*Canada-Ukraine Free Trade Agreement (CUFTA)
*Canada-Chile Free Trade Agreement (CCFTA)
*Canadian Free Trade Agreement (CFTA)
*Canada-Korea Free Trade Agreement (CKFTA)
*Canada-Honduras Free Trade Agreement
*North American Free Trade Agreement (NAFTA)
*World Trade Organization Agreement on Government Procurement (WTO GPA)
*Canada-Peru Free Trade Agreement (CPFTA)
*Canada-Colombia Free Trade Agreement
*Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP)
*Canada-Panama Free Trade Agreement
*Canada-UK Trade Continuity Agreement (Canada-UK TCA)
Regions of opportunity
*Quebec (except NCR)
Regions of delivery
*Quebec (except NCR)
Contracting entity name
Department of Fisheries and Oceans (DFO)
Contracting entity address line
301 promenade Bishop Drive
Contracting entity address city
Fredericton
Contracting entity address province
NB
Contracting entity address postal code
E3C 2M6
Contracting entity address country
Canada
Contact info name
T••• B••••
Contact info email
t••••••••@•••••••.••.ca
Contact info address line
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Contact info city
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Contact info postalcode
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Contact info country
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Attachment
https://canadabuys.canada.ca/sites/default/files/webform/tender_notice/106514/30008273---rfp_en_final_0.pdf
Tender description
Fisheries and Oceans Canada (DFO) requires scientific expertise to assess the importance of spring in the annual fattening cycle of the endangered St. Lawrence Estuary beluga population. The work involves analyzing aerial drone imagery and morphometric data collected in 2024 and 2025 to evaluate seasonal changes in body condition among male, female, and pregnant belugas.
The contractor will conduct advanced photogrammetric and morphometric analyses using image analysis software to refine sex identification, identify pregnant females, and assess changes in physical condition across age and sex classes. The work also includes the preparation and publication of two scientific articles that meet the standards of internationally recognized peer-reviewed scientific journals.