GM-24-02C: Northern Gulf of Mexico Monitoring for Protected Birds
ID: 355746Type: Posted
Overview

Buyer

Bureau of Ocean Energy Management (DOI-BOEM)

Award Range

$300K - $350K

Eligible Applicants

Others

Funding Category

Environment

Funding Instrument

Cooperative Agreement

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/355746
Timeline
    Description

    The Bureau of Ocean Energy Management (BOEM) is offering a cooperative agreement opportunity titled "GM-24-02C: Northern Gulf of Mexico Monitoring for Protected Birds," aimed at enhancing the detection and classification of protected species in high-resolution aerial imagery. This five-year initiative will leverage advanced technologies, including artificial intelligence and machine learning, to develop sophisticated algorithms for analyzing aerial imagery collected by the U.S. Fish and Wildlife Service (USFWS), as well as create a web-based visualization tool for real-time updates on survey data. The project is significant for responsible environmental monitoring in areas of offshore energy development, benefiting stakeholders such as government agencies and the public. Interested applicants, specifically the University of Florida as the single-source cooperative agreement partner, should note that the estimated funding ranges from $300,000 to $350,000, with applications due by September 2, 2024. For further inquiries, contact Dominique Bruce-Morton at dominique.bruce-morton@bsee.gov.

    Files
    Title
    Posted
    Min-SOW_GM-24-02c.pdf
    The Bureau of Ocean Energy Management (BOEM), in collaboration with the U.S. Fish and Wildlife Service (USFWS), is initiating a project titled "Northern Gulf of Mexico Monitoring for Protected Birds." This five-year initiative aims to enhance offshore energy development by improving the detection and classification of seabirds, marine mammals, and sea turtles through advanced technologies such as artificial intelligence and machine learning. Key objectives include developing sophisticated algorithms to analyze high-resolution aerial imagery and creating a web-based visualization tool that will provide real-time updates on surveys conducted in the Gulf of Mexico. This tool is designed to benefit various stakeholders, including government agencies and the public, by offering access to ongoing survey data, particularly in regions of active or planned energy development. The project underscores BOEM's commitment to responsible environmental monitoring while facilitating energy development in protected areas.
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