Closed · W9126G-21-2-SOI-4440 · CFDA 12.005 · Other

Predictive 3-Dimensional Model Using Avian Radar at Ellsworth Air Force Base, South Dakota

Federal grant opportunity posted by Fort Worth District, cataloged on Grants.gov.

$206K-$750K
Award range
Closed
Status
August 2, 2021
Close date
-
Expected awards

The verdict

Predictive 3-Dimensional Model Using Avian Radar at Ellsworth Air Force Base, South Dakota is a closed other listing from Fort Worth District that offered $206,000 -- $750,000. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 179 other opportunities from Fort Worth District.

$206K-$750K
award range
Closed
application status
12.005
CFDA program
179
other opportunities from Fort Worth District

Archived opportunity record

Predictive 3-Dimensional Model Using Avian Ra… is closed (last close August 2, 2021). Check the agency catalog for replacement NOFOs. Fort Worth District still indexes 179 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

Closed August 2, 2021

Posted Jul 3 Closes Aug 2

Instrument

Cooperative Agreement

Description

Project Title: Natural Resources Support – Predictive 3-Dimensional Model UsingAvian Radar at Ellsworth Air Force Base, South DakotaResponses to this Request for Statements of Interest will be used to identify potentialinvestigators for a project to be funded by the US Air Force which provides professional andtechnical support for Ellsworth Air Force Base (EAFB) in order to facilitate successfulimplementation of the 16 USC 670c-1 Sikes Act. Approximately $206,000 is expected to beavailable to support this project during the base period. There may be up to two additionaloption awards based on availability of funding.Background:The primary objective of the project is to use avian radar data collected on EAFB to develop amodel identifying BASH risk within the primary flight patterns and clear zones. The secondaryobjective is to quantify and evaluate the local habitat’s attractiveness to bird use and behavior.Note: Must be a non-federal partner in one of the CESU Units, referenced above, to be qualifiedfor considered.Brief Description of Anticipated Work:In order to perform this work successfully, the cooperator must have capabilities to support onsite goals and objectives at EAFB.The primary objective of the project is to use avian radar data collected on EAFB to develop amodel identifying BASH risk within the primary flight patterns and clear zones. The secondaryobjective is to quantify and evaluate the local habitat’s attractiveness to bird use and behavior.Specific objectives include:. Provide a visual representation of varying risk. Evaluate risk of areas adjacent to the primary flight paths. Assess and display time of day and seasonal risk variability. Identify wildlife high and low use areas as detected by radar. Build a discriminatory model to program EAFB Bird Detection Radar(BDR) software to display birds at the lowest possible taxonomic classificationNote: At this time we are only requesting that you demonstrate available qualifications andskills for performing similar or same type of work. You will be evaluated for request for aproposal based on skills, qualifications and certifications demonstrated in your SOI.Preference will be given to statements of interest that demonstrate experience withproducing models using bird detecting radar systems; a subset of that experience shallinclude knowledge and experience with developing software displays for analysis andvisualization of data collected from bird detecting radar systems, including experiencewith developing landscape scale wildlife models and design and analysis of long-termwildlife monitoring and experience with analyses of avian space use and 3-dimensionalmodeling, in the state of South Dakota.Period of Performance. The base period of performance is anticipated to be 18 months with 6months administrative Period of performance from date of award. The agreement will containone base year and up to two, one-year option year periods subject to the availability of funds.Note: A full study proposal and proposed budget are NOT requested at this time.Please send responses or direct questions to:Sandy JustmanGrants SpecialistUSACE Ft. Worth DistrictSandra.Justman@usace.army.milOffice: (817) 886-1073Kali EvansProject ManagerUSACE Omaha DistrictKali.L.Evans@usace.army.milOffice: (402) 768-1048Timeline for Review of Statements of Interest: The RSOI is required to be posted for at least30 days prior to the Government making a decision and requesting full proposals. Responsesdue by 5:00 P.M., Central Time, on 2 AUG 2021.

Catch-all / unrestricted eligibility mark · W9126G-21-2-SOI-4440

Grants.gov marks Predictive 3-Dimensional Model Using Avian Ra… with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity code maps to Science and Technology / R&D (ST). 54 other Fort Worth District listings share this eligibility-code string (30% of 180).

Code 99
Unrestricted / see official listing

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

Sandra K Justman Grantor Phone 8178861073

What to do next

Predictive 3-Dimensional Model Using Avian Ra… is closed; use the parent program and agency catalog for the next funding cycle.

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Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants