SATPC0035886 Tab 07 SOW_Redacted.pdf
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- Solicitation number
- 80NSSC24877506Q
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This document is a Statement of Work (SOW) for the development and evaluation of a Geospatial Foundation Model (GeoFM) to support Land Use, Change Attribution, and Biomass Prediction applications. The SOW outlines requirements for the contractor to provide research and science expertise to support the development of the GeoFM, including developing approaches and designs for downstream use cases, utilizing non-remote sensing data, assisting with model architecture enhancements, creating labeled training data, developing benchmarks, and supporting fine-tuning approaches. The contractor is also required to provide outreach and communication support, such as organizing workshops and tutorials, disseminating research findings, and assisting with publicizing the GeoFM as an open-source collaboration.
The related federal contract opportunity is a sole source procurement by NASA's Shared Services Center to have OREGON STATE UNIVERSITY develop and test the HLS GeoFM for Land Use, Change Attribution, and Biomass Prediction. The period of performance is from August 1, 2024 through January 31, 2026. Interested organizations may submit their capabilities and qualifications by 8:00 a.m. Central Standard Time on 8/19/2024, but the government has sole discretion in determining whether to conduct the procurement on a competitive basis.
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| File | Type | Posted |
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| SATPC0035886 Tab 07 RDSS_Redacted.pdf |
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Statement of Work for
Harmonized Landsat Sentinel-2 (HLS) AI Geospatial Foundation Model (GeoFM) for Land Use, Change Attribution, and Biomass Prediction
Background and Objective:
Artificial intelligence (AI) model development is playing an important role in advancing our understanding of science. Foundation models (FM), in particular, provide flexibility for developers to pretrain a single model and then customize it for specific downstream tasks.
The NASA Inter-agency Implementation and Advanced Concepts Team (IMPACT) at the Marshall Space Flight Center (MSFC) is developing a foundation model for geospatial science applications and is seeking support in designing, building and evaluating the model to advance and explore a wide range of tasks within the field of geospatial science (i.e., Land Use, Change Attribution, and Biomass Prediction).
Requirements: The contractor shall:
Provide research and science expertise to support the development of a GeoFM for Land Use, Change Attribution, and Biomass Prediction applications to provide semantic contextual meaning.
a. Develop approach and design for novel downstream science use cases relevant to specific
Land Use, Change Attribution, and Biomass Prediction, etc.
b. Utilize non-remote sensing data and information as needed to help identify specific land use types.
c. Utilize other non-HLS remote sensing data, e.g., lidar, as needed to help resolve optical and radar saturation issues.
d. Assist the AI team within IMPACT to develop enhancements to the model’s architecture.
e. Create and provide access to labeled, science training data for each downstream use case.
f. Create or provide documentation for new or existing benchmarks to evaluate the performance of the FM.
g. Support the development of fine-tuning approaches for the downstream use cases.
h. Assist the AI team within IMPACT to validate and evaluate the performance of the
GeoFM on downstream use cases.
Provide outreach and communication support aimed at educating and training the science community on the capabilities of the AI FM.
a. Organize and host workshops, tutorials, and/or hackathons with the science community.
b. Train scientists and developers on the capabilities of the AI FM related to the developed downstream use cases.
c. Assist the IMPACT team with disseminating research findings through technical reports, conference presentations, and journal publications.
d. Assist with publicizing the AI FM results to the scientific community as an open-source science collaboration.
Development Cycle: The contractor shall:
Follow the FM development iteration cycles shown below.
Deliverables: The contractor shall deliver:
a. Access to labeled, science training data for each downstream use case.
b. Documentation for new or existing benchmarks to evaluate the performance of the FM.
c. Training & tutorial materials to be used during workshops and/or hackathons with the science community.
d. Research findings as technical reports, conference presentations, and journal publications.
Place of Performance:
Facilities at
Period of Performance:
August 1, 2024 through January 31, 2026.
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