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ClosedOpportunity G23AS00044

Cooperative Agreement for CESU-affiliated Partner with Great Plains Cooperative Ecosystem Studies Unit

Geological Survey · Department of the Interior

At a glance

Cooperative Agreement for CESU-affiliated Partner with Great Plains Cooperative Ecosystem Studies Unit is a closed federal cooperative agreement opportunity from the Geological Survey (Department of the Interior). The application deadline was February 6, 2023. Individual awards are listed as up to $275K. Applicant types listed as eligible include others (see notice). Cost sharing is not required. It is funded under Assistance Listing 15.808 (U.S. Geological Survey Research and Data Collection).

Summary assembled from the official notice's fields. The official notice governs.

Key facts

Posted
Jan 4, 2023
Close date
Feb 6, 2023
Award floor
Not specified
Award ceiling
$275,000
Est. total funding
Not specified
Expected awards
Not specified
Cost sharing
Not required
Funding instrument
Cooperative Agreement
Opportunity category
Discretionary

Who can apply

  • Others (see notice)

Additional information on eligibility (from the notice)

This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESU’s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Great Plains Cooperative Ecosystem Studies Unit (CESU) Program.

Based on the published notice. Review the official notice for complete eligibility requirements.

What it funds

Official synopsis as published by the agency, formatted for readability.

The USGS Water Mission Area (WMA) Next Generation Water Observing System (NGWOS) is offering a funding opportunity to a CESU partner for research and development in the field of camera-based water monitoring technology. The application of camera-based monitoring methods that integrate image analysis and artificial intelligence techniques is of interest to NGWOS. A fundamental component to developing machine learning models to transform still camera images into water data, such as stage and discharge, is a compilation of fully labeled training images. However, there is a lack of community resources and consistency in (1) image capture protocols, (2) metadata standards, (3) data storage and delivery, and (4) image processing and machine learning workflows used to generate training datasets. Therefore, a functional, standard image processing workflow would be beneficial to the WMA and the water monitoring community.

Assistance Listing

What is an ALN?

Reported obligations under ALN 15.808

Historical data · not a prediction
FY24$125M
FY25$54.7M
FY26$60M est.
Source: SAM.gov Assistance Listing 15.808. Program-wide totals, not awards from this specific opportunity.

Agency contact (as published)

Geological Survey
fgraves@usgs.gov
703-648-7376

Quick answers

Who is eligible to apply for this opportunity?

The official notice lists these applicant types as eligible: Others (see notice). Additional restrictions may apply; review the full notice.

How much funding is available through this opportunity?

Per the notice, individual awards are listed as up to $275k.

How do I apply for this opportunity?

Applications are submitted through the official source, not through GrantsJunction. Open the official notice on Grants.gov (opportunity G23AS00044), and review the full announcement and application package. Organizations applying through Grants.gov generally need an active SAM.gov registration and a Grants.gov account, which can take several weeks to set up.

Matched on shared Assistance Listings, agency, categories and eligible applicant types.