W81EWF-23-SOI-0022: “Overland Assessment of Physical Environments for Mobility in Complex Ecological Landscapes”
Closed
This grant is closed. A newer notice from the same program is open now: ERDC Broad Agency Announcement (W912HZ26S0001). Status: Closes January 1, 2027 (55 days left). It is in our archive of Dept. of the Army -- Corps of Engineers notices from 2023.
Dept. of the Army -- Corps of Engineers offered grants of up to $200,000 to the applicants described in the notice. It expected to make one award worth $200,000 in total. Applications closed on August 4, 2023.
From the official notice on Grants.gov, last changed June 13, 2023. Checked November 7, 2026.
- Award ceiling$200,000
- Total funding$200,000
- Expected awards1
- Cost sharingNot required
- Funding typeCooperative Agreement
Key dates
| Posted | June 13, 2023 |
|---|---|
| Deadline | August 4, 2023 |
| Archived by Grants.gov | December 29, 2023 |
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)
This opportunity is restricted to non-federal partners of only the Chesapeake Cooperative Ecosystems Studies Unit (CESU).
Is this a realistic fit?
- Past Basic, Applied, and Advanced Research in Science and Engineering awards averaged $1.1 million; this notice allows up to $200,000 per award.
- Most of the program's money (69% over five years) went to colleges and universities.
- No cost sharing or match is required.
What the grant funds
A. Short Description of Funding Opportunity ERDC seeks applications for: Overland landscape data collection and accuracy for assessments of synthetically created datasets. Artificial intelligence (AI), machine learning (ML), and Deep Learning (DL) can help rapidly create geospatial products and aid in understanding and predict the physical and biotic connectivity and formation of landscapes. These techniques are being applied to various components of data production that are influencing the planning and execution of Government programs in addition to publicly created and provided data sets. Techniques and understanding the uses and limitations of their use is paramount in planning multi-domain operations and systems. We lack the ability to traditionally scientifically ground truth these algorithms as this may not be physically or technically feasible, especially in contested environments, but intense data collection and selection to train these models will help increase the accuracy of the resulting products. The work we are seeking shall involve creating detailed vegetation, landform, and structure scientific models. Awardee will conduct and perform research assessments of physical and biotic environments support of mobility in assured position, navigation, timing (APNT) activities and tests in forested and mixed topographic relief areas. Awardee will compare and contrast different datasets provided and produce accuracy assessments of these datasets to inform widely used land cover products and derivatives is essential. Results should also inform the wider scientific literature in this area. Resulting products will help inform and shape the USGS National Land Cover Database and the Virginia Land Cover Database. B. Program Description/Objective: Awardee will compare and contrast provided synthetic datasets with field data to produce a comprehensive accuracy assessment for landcover derived data. Awardee will complete a detailed field collection data in several land cover areas of the upper coastal plain/lower piedmont area of Fort AP Hill, Virginia. Some examples of data needed are surface soils, vegetation, landforms, cover percentages, stem estimates and counts, canopy size, barriers that could affect mobility, edge habitats, and anthropogenic features. The work would involve a minimum mapping unit of approximately 0.5m accuracy or better to help drive accuracy assessments during AI/ML/DL comparisons.
Who has won Basic, Applied, and Advanced Research in Science and Engineering grants before
From fiscal 2021 to 2025, Basic, Applied, and Advanced Research in Science and Engineering (12.630) awarded $1.3 billion across 1,101 grant awards, an average of $1.1 million per award.
| Recipient | State | Awards | Amount |
|---|---|---|---|
| Battelle Memorial Institute | Ohio | 1 | $82.6 million |
| Msi Stem Research & Development Consortium | District of Columbia | 1 | $78.2 million |
| University of California San Diego | California | 4 | $53.1 million |
| Sikorsky Aircraft Corporation | Connecticut | 4 | $38.1 million |
| The Trustees of the University of Pennsylvania | Pennsylvania | 3 | $35.0 million |
Applying now
This notice no longer takes applications. Apply under the newer notice, W912HZ26S0001, which is open now.
The notice on Grants.gov keeps its full text and attachments, which is useful for planning a resubmission.
Questions people ask
Is W81EWF-23-SOI-0022 still open?
No. It closed on August 4, 2023. A newer notice is open: W912HZ26S0001, closes January 1, 2027 (55 days left).
Who can apply for “Overland Assessment of Physical Environments for Mobility in Complex Ecological Landscapes”?
Dept. of the Army -- Corps of Engineers accepted applications from the applicants described in the notice. The notice adds further conditions, so read its eligibility section.
What is the deadline for “Overland Assessment of Physical Environments for Mobility in Complex Ecological Landscapes”?
Closed August 4, 2023. Applications are no longer accepted; the program's newer notices are on this page when there are any.
How much funding is available?
Awards of up to $200,000 each. About $200,000 in total for one award.
Who has won Basic, Applied, and Advanced Research in Science and Engineering grants before?
The largest recipients over five fiscal years were Battelle Memorial Institute, Msi Stem Research & Development Consortium, University of California San Diego. The program made 1,101 awards worth $1.3 billion in that time.