Opportunity Information: Apply for NWO CESU 17 25
The grant opportunity titled "ADAPTIVE MANAGEMENT VEGETATION MONITORING - MHAFB, Idaho" is a Department of Defense cooperative agreement focused on improving how vegetation is mapped and tracked on and around Mountain Home Air Force Base (MHAFB) in Idaho. The project supports the Natural Resources Program for areas that include the Small Arms Range (SAR) and the broader Mountain Home Range Complex (MHRC), and it is managed through the 366th CES/CEIE Environmental Office at MHAFB. At its core, the work is meant to supply the practical capacity to run vegetation monitoring in the field and through remote sensing, meaning the award is intended to cover personnel time as well as the equipment and materials needed to complete the monitoring reliably.
The main purpose is to help the installation build accurate, usable information on vegetation communities by relying on aerial and satellite imagery. This is framed as "adaptive management" vegetation monitoring, which generally means the monitoring results are intended to directly inform future land management decisions, track change over time, and help evaluate whether management actions are producing the desired ecological outcomes. In practical terms, the agreement is designed to support the program manager by producing vegetation community determinations with a defined level of accuracy, so that MHAFB can better understand what vegetation types occur where, how those patterns shift, and what that implies for natural resource stewardship on mission-relevant lands.
The scope is organized around two primary tasks. First, the project requires mapping vegetation types across MHAFB properties in Idaho, producing a vegetation classification map that can be used for planning and ongoing monitoring. Second, it includes a comparative analysis of image sources to determine how well different spatial resolutions perform for vegetation classification in this landscape. Specifically, the opportunity calls for comparing 7-meter RapidEye imagery with 30-meter LANDSAT-8 imagery to see which dataset (or combination of datasets) produces more effective vegetation type discrimination and classification accuracy. This comparison matters because higher-resolution imagery can capture finer habitat patterns but may come with higher costs and processing demands, while coarser imagery is often cheaper and widely available but may blur smaller or more heterogeneous vegetation patches.
Administratively, the opportunity is listed under Funding Opportunity Number "NWO CESU 17 25" and uses a cooperative agreement instrument, which typically indicates substantial involvement or coordination with the sponsoring agency during performance (for example, alignment on methods, data standards, deliverables, and reporting). The activity category is environment, the CFDA number is 12.632, and the awarding agency is the Department of Defense, Omaha District. The anticipated funding level is modest and targeted: an award ceiling of $72,091 with an expectation of a single award. The posting shows a creation date of July 21, 2017, with an original closing date of August 21, 2017, reflecting a defined application window and a one-recipient plan for completing the stated monitoring and imagery comparison work.
Eligibility is broadly indicated as "Others," with additional eligibility clarification referenced in the full notice. In effect, the opportunity is aimed at an entity capable of delivering applied ecological monitoring and geospatial/remote sensing analysis in a way that meets military installation natural resource management needs, producing defensible vegetation maps and a clear evaluation of whether 7m RapidEye or 30m LANDSAT-8 is better suited for classification tasks at MHAFB.Apply for NWO CESU 17 25
- The Department of Defense, Omaha District in the environment sector is offering a public funding opportunity titled "ADAPTIVE MANAGEMENT VEGETATION MONITORING - MHAFB, Idaho" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 12.632.
- This funding opportunity was created on Jul 21, 2017.
- Applicants must submit their applications by Aug 21, 2017. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $72,091.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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FAQs: ADAPTIVE MANAGEMENT VEGETATION MONITORING - MHAFB, Idaho
What is the title of this grant opportunity?
The opportunity is titled "ADAPTIVE MANAGEMENT VEGETATION MONITORING - MHAFB, Idaho."
What type of funding instrument is being used?
This opportunity is offered as a cooperative agreement, which typically involves substantial involvement or coordination with the sponsoring agency during the period of performance (for example, coordination on methods, data standards, deliverables, and reporting).
Which federal agency is offering the award?
The awarding agency is the Department of Defense, Omaha District.
What is the Funding Opportunity Number?
The Funding Opportunity Number is NWO CESU 17 25.
What is the CFDA number listed for this opportunity?
The CFDA number is 12.632.
What is the main purpose of the project?
The purpose is to improve how vegetation is mapped and tracked on and around Mountain Home Air Force Base (MHAFB) in Idaho by building accurate, usable information on vegetation communities using aerial and satellite imagery. The work is intended to strengthen adaptive management by producing monitoring results that can inform land management decisions, track change over time, and help evaluate whether management actions are achieving desired ecological outcomes.
What does "adaptive management" mean in the context of this project?
In this context, adaptive management vegetation monitoring means the monitoring is designed to directly support future management decisions. The vegetation mapping and tracking outputs are meant to help the installation understand what vegetation types occur where, how patterns shift over time, and what that implies for natural resource stewardship on mission-relevant lands.
What locations or areas does the project focus on?
The project supports the Natural Resources Program for areas including the Small Arms Range (SAR) and the broader Mountain Home Range Complex (MHRC), on and around MHAFB in Idaho.
Which office at MHAFB is managing the effort?
The project is managed through the 366th CES/CEIE Environmental Office at Mountain Home Air Force Base.
What work is the award intended to pay for?
The award is intended to provide practical capacity to run vegetation monitoring in the field and through remote sensing, including personnel time and the equipment and materials needed to complete monitoring reliably.
What are the primary tasks included in the scope of work?
The scope is organized around two primary tasks: (1) mapping vegetation types across MHAFB properties in Idaho and producing a vegetation classification map for planning and ongoing monitoring, and (2) performing a comparative analysis of imagery sources to determine how different spatial resolutions perform for vegetation classification in this landscape.
What is the required vegetation mapping deliverable?
A vegetation classification map covering MHAFB properties in Idaho, intended to support planning and ongoing monitoring.
Which imagery sources must be compared?
The opportunity specifically calls for comparing 7-meter RapidEye imagery with 30-meter LANDSAT-8 imagery to evaluate vegetation type discrimination and classification accuracy.
Why does the opportunity emphasize a comparison between 7m RapidEye and 30m LANDSAT-8?
The comparison is important because different spatial resolutions can change how well vegetation types can be distinguished. Higher-resolution imagery (like 7m) may capture finer habitat patterns but can involve higher costs and processing demands, while coarser imagery (like 30m) may be cheaper and widely available but can blur smaller or heterogeneous vegetation patches.
What kinds of outcomes is the project intended to support?
The project is intended to support defensible vegetation community determinations with a defined level of accuracy, improve the installation's ability to understand vegetation distribution and change, and strengthen natural resource stewardship decisions on lands that are relevant to mission activities.
How many awards are expected?
The posting indicates an expectation of a single award.
What is the maximum funding amount available?
The award ceiling is $72,091.
What is the activity category for this opportunity?
The activity category is environment.
When was the opportunity created and when did it close?
The posting shows a creation date of July 21, 2017, and an original closing date of August 21, 2017.
Who is eligible to apply based on the posting?
Eligibility is broadly listed as "Others," with additional eligibility clarification referenced in the full notice. Based on the description, the opportunity is aimed at an entity capable of applied ecological monitoring and geospatial/remote sensing analysis that meets military installation natural resource management needs.
What capabilities should an applicant be prepared to demonstrate?
Based on the stated purpose and tasks, applicants should be able to deliver field-capable vegetation monitoring support and remote sensing-based vegetation classification work, including producing vegetation community determinations with defined accuracy and completing an evaluation of RapidEye (7m) versus LANDSAT-8 (30m) performance for classification at MHAFB.
Does the opportunity specify how agency involvement will occur during performance?
The opportunity does not provide detailed procedures in the summary, but it notes the use of a cooperative agreement, which generally implies substantial involvement or coordination with the sponsoring agency (such as alignment on methods, data standards, deliverables, and reporting).
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