Opportunity Information: Apply for G17AS00065
The Cooperative Ecosystem Studies Unit (CESU), Great Lakes Northern Forests funding opportunity (Opportunity Number G17AS00065) was issued by the U.S. Department of the Interior, U.S. Geological Survey (USGS), specifically through the Earth Resources Observation and Science (EROS) Center. It is a discretionary grant made through a cooperative agreement, meaning the project is expected to involve collaboration and substantial involvement between the USGS and the award recipient rather than being a hands-off, standard grant. The activity category is science and technology and other research and development, and it is listed under CFDA 15.808.
The purpose of the award is to support land cover research that improves how USGS evaluates and reports the quality of its land cover and land cover change products. The work centers on methods for accuracy assessment and area estimation, with a strong emphasis on the practical statistical problem of how to design sampling approaches and estimation strategies that produce reliable accuracy metrics and defensible area estimates. A key part of the scope is understanding how uncertainties in reference data (the "ground truth" or validation labels used to judge map correctness) influence conclusions about product validity. In other words, the project is not only about measuring whether products like NLCD and LCMAP are correct, but also about quantifying and accounting for the fact that the validation data themselves can contain errors or ambiguity, which can bias or weaken confidence in accuracy statements and change estimates.
The land cover products explicitly mentioned as targets for this research are the National Land Cover Database (NLCD) and the Land Change Monitoring, Assessment, and Projection (LCMAP) land change products. Both are major USGS datasets used widely by federal, state, tribal, academic, and private-sector users for environmental monitoring, land management, and policy-relevant analysis. This opportunity is therefore aimed at improving the statistical and methodological foundations that support how these datasets are validated, how change is quantified, and how uncertainty is communicated to end users.
Financially, the opportunity lists an award ceiling of $40,000 and anticipates making a single award. The posting was created on May 8, 2017, with an original closing date of May 22, 2017, indicating a short application window and a relatively focused, targeted project scale. Eligibility is described broadly as "Others," with additional eligibility clarification referenced in the full announcement text, which commonly indicates that only certain partner institutions (often CESU network members) or specific types of organizations may apply under the CESU mechanism.
In practical terms, a successful project under this announcement would be expected to contribute research results, analyses, or recommended approaches that help USGS strengthen (1) sampling designs for validation, (2) statistical estimators for map accuracy and land change area, and (3) methods for evaluating and propagating reference data uncertainty when assessing the validity of NLCD and LCMAP products. The overall intent is to produce more credible, transparent, and statistically defensible statements about land cover change products that many downstream decisions depend on.Apply for G17AS00065
- The Department of the Interior, Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808.
- This funding opportunity was created on May 08, 2017.
- Applicants must submit their applications by May 22, 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 $40,000.00 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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