Grants / Environmental Protection Agency / Environmental Protection Agency

EPA-I-R3-CBP-23-11: 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

Closed Closed September 6, 2023 Opportunity EPA-I-R3-CBP-23-11 ☆ Save

This grant is closed. Who won this program's grants before is below, and similar open grants are at the end of the page. It is in our archive of Environmental Protection Agency notices from 2023.

• Award ceiling$440,000
• Total funding$440,000
• Expected awards1
• Cost sharingRequired
• Funding typeCooperative Agreement

Key dates

Who can apply

This opportunity was open to the applicants described in the notice.

• Others (see text field entitled "Additional Information on Eligibility" for clarification)

See Section III of the funding opportunity for eligibility information.

Is this a realistic fit?

• Past Geographic Programs - Chesapeake Bay Program General, Technical Assistance, and Small Watershed Grants awards averaged $5.0 million; this notice allows up to $440,000 per award.
• Most of the program's money (73% over five years) went to nonprofits.
• The notice requires cost sharing or matching funds, so you must contribute part of the project cost.

What the grant funds

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.

Category: Environment, Infrastructure Investment and Jobs Act (IIJA).

Applying now

This notice no longer takes applications. Agencies often post the same opportunity again under a new number, so check the program's notices on Grants.gov and the similar open grants below.

The notice on Grants.gov keeps its full text and attachments, which is useful for planning a resubmission.