Opportunity ID: 349488
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | EPA-I-R3-CBP-23-11 |
Funding Opportunity Title: | Chesapeake Bay Program Office Fiscal Year 2023 Request for Applications for: Assessment and Methodology Development for Advanced Automated Techniques and Protocols to Map Chesapeake Bay Submerged Aquatic Vegetation from HighResolution Satellite Imagery |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | – |
Funding Instrument Type: | Cooperative Agreement |
Category of Funding Activity: | Environment Infrastructure Investment and Jobs Act (IIJA) |
Category Explanation: | – |
Expected Number of Awards: | 1 |
Assistance Listings: | 66.466 — Geographic Programs – Chesapeake Bay Program |
Cost Sharing or Matching Requirement: | Yes |
Version: | Synopsis 1 |
Posted Date: | Jul 21, 2023 |
Last Updated Date: | Jul 21, 2023 |
Original Closing Date for Applications: | Sep 06, 2023 |
Current Closing Date for Applications: | Sep 06, 2023 |
Archive Date: | Oct 06, 2023 |
Estimated Total Program Funding: | $440,000 |
Award Ceiling: | $440,000 |
Award Floor: | – |
Eligibility
Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
Additional Information on Eligibility: | See Section III of the funding opportunity for eligibility information. |
Additional Information
Agency Name: | Environmental Protection Agency |
Description: |
There are two overarching objectives of this RFA, which EPA is seeking project proposals to address. The first objective is to map the density and distribution of submerged aquatic vegetation (SAV) accurately, efficiently, and effectively throughout the mesohaline habitat in Chesapeake Bay and its tidal tributaries from high-resolution (approximately 4m per pixel resolution or less) satellite imagery using automated detection and classification methods, and, in doing so, develop and document a protocol that would inform Bay-wide SAV assessment efforts. The second objective is to develop and document a robust, repeatable method of generating vector-based polygons that: 1. represent SAV beds from the pixel-based SAV classifications developed under Objective 1 that are calibrated to results generated from hand-delineated SAV mapping of beds as estimated from the present SAV survey protocol; and 2. applies the polygon bed delineation method to SAV classification results from high resolution satellite imagery to produce SAV cover maps of Zannichellia palustris that are suitable for summarizing acreage and density throughout the mesohaline portion of Chesapeake Bay. |
Link to Additional Information: | – |
Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Emily Heller
Email:heller.emily@epa.gov |
Version History
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Related Documents
Packages
Agency Contact Information: | Emily Heller Email: heller.emily@epa.gov |
Who Can Apply: | Organization Applicants |
Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
---|---|---|---|---|---|---|
66.466 | PKG00282635 | Jul 21, 2023 | Sep 06, 2023 | View |