Initiative #101
Creating space-time continuous surface chlorophyll fields for northwest Atlantic using neural network methods
Listed in the registry Pilot Original language : English
About the initiative
Description of the initiative
Neural network methods are applied to fill the space-time gaps in satellite remote sensing data of surface chlorophyll for the Northwest Atlantic. The generated dataset will be validated and analyzed.
AI family
Bucket rationale Not translated
Génère de nouvelles surfaces de données à partir d’ensembles d’observations discontinues—intelligence générative.
Lifecycle
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Ideation
Stage status : Completed
June 1, 2025
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Assessment
Stage status : Completed
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Approved
Stage status : Completed
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Development
Stage status : Completed
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Pilot
Stage status : In progress
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
- Ideation
A similar need?
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Contacts
- Requester
- Smith, Melannie
- Sector contact
- Smith, Melannie
- Subject matter expert
- Winegardner, Amanda
- Smith, Melannie
Data and tools
- Sector
- Ecosystems and Oceans Science
- Region
- National Capital Region
- Submitted on
- June 1, 2025