Opportunity Information: Apply for G23AS00266
This opportunity is a discretionary federal funding announcement from the U.S. Geological Survey (USGS), specifically the Earth Resources Observation and Science (EROS) Center, to support research that strengthens how USGS evaluates and quantifies land cover and land cover change products. The award is offered as a cooperative agreement, which generally means USGS expects to be actively involved during the project rather than simply providing funds and receiving a final report. The work is positioned as science and technology research and development under CFDA 15.808, and it is being issued through the Cooperative Ecosystem Studies Unit (CESU) network, which is designed to connect federal agencies with partner institutions for research, technical assistance, and education.
The core purpose is to improve land cover research by advancing the methods used for accuracy assessment and area estimation. In practice, that means developing, testing, and implementing modern sampling designs and statistical approaches that can more reliably measure how accurate land cover maps are and how much land area is actually in each mapped class. A major emphasis is on understanding and handling uncertainty in reference data, since accuracy assessments depend heavily on the quality and consistency of the "ground truth" or reference information used to evaluate mapped products. The research is meant to help USGS better characterize the validity and reliability of major national land cover datasets, including the National Land Cover Database (NLCD) and the Land Change Monitoring, Assessment, and Projection (LCMAP) annual products, both of which are widely used for science, management, and policy decisions.
The project focus is methodological and analytical rather than purely data production. It points toward state-of-the-art strategies, which may include improved probability sampling schemes, optimized allocation of samples across land cover strata, advanced estimators for class area and change area, and statistically defensible ways to propagate and report uncertainty when reference labels are imperfect or inconsistent. Because land cover change products are used to detect trends over time, the statistical treatment of error, bias, and uncertainty can have a major influence on conclusions about change rates and patterns. This opportunity is therefore aimed at improving the credibility, interpretability, and comparability of USGS land cover change assessments, especially when results are used at large geographic scales or across multiple years.
Eligibility is limited to partners in the Great Lakes Northern Forests Cooperative Ecosystem Studies Unit. In other words, an applicant must already be an official participating member of that specific CESU to apply. The funding opportunity number is G23AS00266, and the original application closing date listed is March 15, 2023. The award ceiling is $135,000, indicating the maximum amount USGS expects to provide under this announcement, and the posting was created on February 15, 2023.Apply for G23AS00266
- The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Agreement for CESU-affiliated Partner with Great Lakes Northern Forests Cooperative Ecosystem Studies Unit" 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 2023-02-15.
- Applicants must submit their applications by 2023-03-15. (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 $135,000.00 in funding.
- Eligible applicants include: Others.
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Frequently Asked Questions (FAQs)
What is this funding opportunity?
This is a discretionary federal funding opportunity from the U.S. Geological Survey (USGS), specifically the Earth Resources Observation and Science (EROS) Center. It supports research intended to strengthen how USGS evaluates and quantifies land cover and land cover change products.
What is the funding opportunity number?
The funding opportunity number is G23AS00266.
Which USGS office is sponsoring this work?
The opportunity is issued by USGS EROS (Earth Resources Observation and Science) Center.
What type of award is being offered?
The award is offered as a cooperative agreement. That generally indicates USGS expects to be actively involved during the project, rather than only providing funding and receiving a final deliverable at the end.
What is the main purpose of the project?
The main purpose is to improve land cover research by advancing methods for accuracy assessment and area estimation. The project is aimed at producing more reliable ways to measure (1) how accurate land cover maps are and (2) how much land area is actually in each mapped class (including change classes for land cover change products).
Is the focus on building new land cover maps or on research methods?
The focus is methodological and analytical rather than purely data production. The emphasis is on developing, testing, and implementing improved sampling designs and statistical approaches for evaluation and quantification of land cover and land cover change products.
What kinds of methods are mentioned as being relevant to this work?
The announcement points toward state-of-the-art strategies that may include improved probability sampling schemes, optimized allocation of samples across land cover strata, advanced estimators for class area and change area, and statistically defensible approaches to propagate and report uncertainty.
Why is uncertainty in reference data an important part of this opportunity?
Accuracy assessments rely on reference information (often thought of as "ground truth") used to evaluate mapped land cover products. A major emphasis here is understanding and handling uncertainty in that reference data, since imperfect or inconsistent reference labels can directly affect estimated map accuracy and area estimates.
Which land cover datasets are specifically mentioned?
The opportunity specifically mentions improving how USGS characterizes the validity and reliability of major national land cover datasets, including the National Land Cover Database (NLCD) and the Land Change Monitoring, Assessment, and Projection (LCMAP) annual products.
What is the connection to land cover change over time?
Because land cover change products are used to detect trends across multiple years, the statistical treatment of error, bias, and uncertainty can strongly influence conclusions about change rates and patterns. This opportunity is intended to improve the credibility, interpretability, and comparability of land cover change assessments across large areas and time periods.
What program classification is associated with this opportunity?
The work is positioned as science and technology research and development under CFDA 15.808.
How is this opportunity being issued (what network or mechanism is used)?
This opportunity is being issued through the Cooperative Ecosystem Studies Unit (CESU) network, which is intended to connect federal agencies with partner institutions for research, technical assistance, and education.
Who is eligible to apply?
Eligibility is limited to partners in the Great Lakes Northern Forests Cooperative Ecosystem Studies Unit. Applicants must already be official participating members of that specific CESU in order to apply.
What is the maximum funding amount available?
The award ceiling is $135,000, which indicates the maximum amount USGS expects to provide under this announcement.
When was the opportunity posted?
The posting was created on February 15, 2023.
What is the application closing date?
The original application closing date listed is March 15, 2023.
What practical outcomes is USGS trying to improve with this research?
The stated intent is to improve the credibility, interpretability, and comparability of USGS land cover and land cover change evaluations, especially when results are used for science, management, and policy decisions at large geographic scales or across multiple years.
Does USGS expect to be involved during the project?
Yes. Because the award is a cooperative agreement, the opportunity notes that USGS generally expects to be actively involved during the project rather than functioning only as a funder.
What does "accuracy assessment and area estimation" mean in the context of this opportunity?
In this context, accuracy assessment refers to statistically measuring how well mapped land cover classes match reference information. Area estimation refers to statistically estimating the true area of each land cover class (and potentially change areas), taking into account sampling design and error/uncertainty so the estimates are more defensible.
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