science_technology_and_other_research_and_development · DOI-USGS1
Cooperative Agreement for affiliated Partner with the Chesapeake Watershed Cooperative Ecosystem Studies Unit
Geological Survey · G26AS00149
Award Range
$1 – $29.994K
Total Program Funding
$29.994K
Expected Awards
1
Deadline
July 24, 2026
GRANTQUICK SUMMARYPlain-English Overview
USGS is offering a tiny cooperative agreement ($30K) to a Chesapeake Watershed Cooperative Ecosystem Studies Unit (CESU) partner for GeoAI research — specifically automated landform mapping, expanding a Landform Reference Ontology using knowledge graphs, and improving the accuracy of geographic names using lidar data. This is hyper-specialized academic research with a single $30K award.
Who Should Apply
ONLY institutions that are already participating partners in the Chesapeake Watershed CESU. Must have expertise in GeoAI, lidar analysis, knowledge graphs, and/or geomorphology.
Who Should NOT Apply
Anyone not in the Chesapeake Watershed CESU partnership, organizations without GIS/remote sensing expertise, non-research entities, or institutions outside the CESU network.
Key Requirements (Plain English)
- •Must be a participating partner of the Chesapeake Watershed CESU
- •Must have expertise in GeoAI and lidar-derived datasets
- •Must work on landform mapping and Geographic Names Information System accuracy
- •Single award of ~$30K
- •No cost-sharing required
💡 GrantQuick Tip
At $30K and restricted to existing CESU partners, this is essentially a directed award to a specific research group USGS already has in mind. If you're a CESU partner with active GeoAI research and a pre-existing relationship with the USGS National Geospatial Program, reach out to the program officer before applying. Everyone else should skip this entirely.
Competitiveness: Not truly competitive — restricted to existing CESU partners (~10-15 institutions). Likely directed to a specific group.
What This Grant Funds
The U.S. Geological Survey (USGS) is offering a funding opportunity to a Cooperative Ecosystem Studies Unit (CESU) partner for research focused on advancing GeoAI-enabled automated landform mapping, expansion of the Landform Reference Ontology using knowledge graphs, and improving Geographic Names Information System (GNIS) summit feature positional accuracy using lidar-derived elevation datasets.
Attachments
ATTACHMENT A - Biographical-sketch-common-form-doi-omb-3145-0279 3..pdf
ATTACHMENT_A_-_Biographical-sketch-common-form-doi-omb-3145-0279_3..pdf
ATTACHMENT C - Project Abstract Summary Requirement..docx
ATTACHMENT_C_-_Project_Abstract_Summary_Requirement..docx
ATTACHMENT D - Geospatial Data Instructions..docx
ATTACHMENT_D_-_Geospatial_Data_Instructions..docx
C. Program announcement G26AS00149.docx
C._Program_announcement_G26AS00149.docx
ATTACHMENT B - Common-form current-and-pending-support-doi-omb-3145-0279 3..pdf
ATTACHMENT_B_-_Common-form_current-and-pending-support-doi-omb-3145-0279_3..pdf
Who Can Apply
Eligible Applicant Types
Funding Details
- Minimum Award
- $1
- Maximum Award
- $29.994K
- Total Program Funding
- $29.994K
- Expected Number of Awards
- 1
- Cost Sharing Required?
- No
- Funding Instrument
- cooperative_agreement
Key Dates
Electronically submitted applications must be submitted no later than 11:59 PM, ET, on the listed application due date
Agency Contact
RACHEL MILLER rachel_miller@ios.doi.gov
rachel_miller@ios.doi.govReady to apply?
View the full NOFO and submit your application on Grants.gov