Opportunity Information: Apply for P15AS00361
Apply for P15AS00361
- The National Park Service in the natural resources sector is offering a public funding opportunity titled "Landscape mapping of giant sequoia drought stress" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.944 Natural Resource Stewardship.
- This funding opportunity was created on Aug 31, 2015 and posted on Aug 31, 2015.
- Applicants must submit their applications by Sep 15, 2015 Notice of Intent to Award This Funding Announcement is not a request for applications. This NOI is to provide public notice of the National Park Services intention to fund the following project activities without full and open competition.. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $126,960.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $126,940.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education.
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Opportunity Summary:
The National Park Service grant opportunity titled "Landscape mapping of giant sequoia drought stress" (Funding Opportunity Number P15AS00361) supports a cooperative, science focused effort to understand how drought is affecting mature giant sequoias and the surrounding mixed conifer forest at a landscape scale. The central idea is to use advanced airborne remote sensing, specifically high resolution hyperspectral imagery and LiDAR, to detect and map drought related stress in forest canopies. By turning these detailed measurements into mapped indicators of moisture stress, the project aims to give park managers and scientists a clearer picture of where drought impacts are most severe, how confident they can be in those findings, and what methodological improvements or expansions should come next.
Phase 1, which is the portion initially funded under this agreement, focuses on collecting and analyzing remote sensing data acquired during drought conditions over selected giant sequoia groves and adjacent forest areas identified in the work plan. Hyperspectral data are intended to capture subtle changes in canopy reflectance that relate to vegetation water content and canopy greenness, while LiDAR provides three dimensional structural information about the forest, such as canopy height and density. Together, these datasets are used to generate high resolution moisture stress indices that can be mapped across the study area for both mature sequoias and neighboring tree species. A key requirement is not just producing maps, but evaluating what those mapped "anomalies" mean biologically by comparing the remote sensing signals to available ground based observations of drought stress in the canopy.
Another major Phase 1 objective is interpretation and confidence assessment. The project is expected to examine how well the remotely sensed indicators line up with field observations and to explain the likely type and extent of drought impacts implied by the imagery derived products. This includes clarifying uncertainty: where the indices are strong and consistent, where they may be ambiguous, and what limitations arise from the data, timing, canopy complexity, or the availability of ground truth. The final Phase 1 task is forward looking, assessing the prospects for continued or improved mapping of grove level moisture stress vulnerability, essentially laying out what is feasible next and what changes would most improve accuracy, usefulness, or scalability for management.
The announcement is a Notice of Intent to Award, meaning it was not an open request for applications and was issued to publicly document NPS intent to fund the work without full and open competition. The funding mechanism is a cooperative agreement in the Natural Resources activity area (CFDA 15.944, Natural Resource Stewardship). It anticipated a single award with an estimated total funding amount of about $126,960 (award ceiling listed near $126,940) and no cost sharing or matching requirement. Eligible applicants were limited to qualified 501(c)(3) nonprofit organizations other than institutions of higher education, with collaboration explicitly involving investigators from the Carnegie Institution of Washington alongside NPS staff and other partners. The posting date was August 31, 2015, with a closing date of September 15, 2015, and an archive date of September 29, 2015. For access issues or administrative questions, the listed NPS agreements officer contact was Kristina Bliss (KristinaBliss@nps.gov, 805-370-2321).
Frequently Asked Questions (FAQs)
What is the title of this grant opportunity?
The opportunity is titled "Landscape mapping of giant sequoia drought stress."
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is P15AS00361.
Which agency is offering this opportunity?
The opportunity is offered by the National Park Service (NPS).
What is the purpose of the project?
The project supports a cooperative, science-focused effort to understand how drought is affecting mature giant sequoias and the surrounding mixed conifer forest at a landscape scale. The central idea is to use advanced airborne remote sensing to detect and map drought-related stress in forest canopies and translate those measurements into mapped indicators that help managers understand where impacts are most severe and how confident they can be in the results.
What technologies or data sources are central to the project?
The project relies on advanced airborne remote sensing, specifically high-resolution hyperspectral imagery and LiDAR.
How will hyperspectral imagery be used in Phase 1?
Hyperspectral data are intended to capture subtle changes in canopy reflectance related to vegetation water content and canopy greenness during drought conditions over selected giant sequoia groves and adjacent forest areas identified in the work plan.
How will LiDAR be used in Phase 1?
LiDAR is used to provide three-dimensional structural information about the forest, such as canopy height and density, which complements the hyperspectral measurements.
What are the main goals of Phase 1 (the initially funded portion)?
Phase 1 focuses on collecting and analyzing remote sensing data acquired during drought conditions over selected giant sequoia groves and adjacent forest areas. The work is intended to generate high-resolution moisture stress indices that can be mapped across the study area for mature sequoias and neighboring tree species.
What kinds of outputs are expected from Phase 1?
Expected outputs include mapped, high-resolution moisture stress indices derived from hyperspectral and LiDAR data. The phase also emphasizes interpretation and confidence assessment, including explaining how the imagery-derived products relate to biological drought impacts and what uncertainty or limitations apply.
Is the project only about producing maps?
No. A key requirement is evaluating what mapped "anomalies" mean biologically by comparing remote sensing signals to available ground-based observations of drought stress in the canopy.
How will the project validate or interpret remote sensing indicators?
The project is expected to compare remotely sensed indicators to available ground-based observations of drought stress in the canopy, examine how well the indicators align with field observations, and interpret the likely type and extent of drought impacts implied by the imagery-derived products.
What does "interpretation and confidence assessment" mean in this announcement?
It means the project should clarify how reliable the mapped moisture stress indicators are, including where indices are strong and consistent, where they are ambiguous, and what limitations may arise due to factors like data constraints, timing, canopy complexity, or the availability of ground truth.
What limitations or uncertainties does Phase 1 need to address?
The announcement calls for clarifying uncertainty and limitations arising from the data, timing, canopy complexity, and the availability of ground-truth observations, including identifying where results are consistent versus ambiguous.
Does Phase 1 include planning for future work?
Yes. The final Phase 1 task is forward-looking and assesses prospects for continued or improved mapping of grove-level moisture stress vulnerability, including what is feasible next and what changes would most improve accuracy, usefulness, or scalability for management.
What is the funding mechanism?
The funding mechanism is a cooperative agreement.
What activity area is this award associated with?
It is in the Natural Resources activity area.
What CFDA program is referenced?
The announcement references CFDA 15.944, Natural Resource Stewardship.
Is this an open, competitive funding opportunity?
No. The announcement is a Notice of Intent to Award, issued to publicly document NPS intent to fund the work without full and open competition rather than soliciting applications.
How many awards were anticipated?
A single award was anticipated.
What is the estimated total funding amount?
The estimated total funding amount is about $126,960. The award ceiling is listed near $126,940.
Is there a cost sharing or matching requirement?
No. The announcement states there is no cost sharing or matching requirement.
Who was eligible to apply?
Eligible applicants were limited to qualified 501(c)(3) nonprofit organizations other than institutions of higher education.
Does the opportunity specify any collaboration requirements or partners?
Yes. Collaboration explicitly involves investigators from the Carnegie Institution of Washington alongside NPS staff and other partners.
What is the posting date for this notice?
The posting date is August 31, 2015.
What was the closing date?
The closing date was September 15, 2015.
When was the notice archived?
The archive date was September 29, 2015.
Who is the listed NPS contact for access issues or administrative questions?
The listed NPS agreements officer contact is Kristina Bliss.
How can Kristina Bliss be reached?
Email: KristinaBliss@nps.gov. Phone: 805-370-2321.
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