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Find similar grantsNASA Acres is sponsored by National Aeronautics and Space Administration (NASA) / University of Maryland (Lead Institution). NASA Acres is a consortium that bridges the gap from space-to-farm and education-to-impact in U. S.
agriculture by applying satellite data solutions to pressing challenges.
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Our Projects — NASA Acres NASA Acres brings the value of satellite data down-to-Earth for U.S. agriculture through activities targeting seven impact areas. Learn about these impact areas and their supporting projects below. Cultivate a productive and trusting relationship between NASA and U.S. farmers, ranchers, and others contributing to the U.S. agrifood system.
User-Friendly, Privacy-Protecting Systems Foster innovative, powerful, and user-friendly systems for accessing and analyzing satellite data while protecting farmer data privacy and autonomy. Advance the quality and production of satellite-based agriculture mapping through defining, setting standards for, improving methods for, and producing “Essential Agriculture Variables” (EAVs).
Increased Understanding of U.S. Ag Increase our knowledge about the state, change, and outlook for productivity, profitability, sustainability, and resilience in U.S. agriculture, including a better understanding of the interplay between land management activities and outcomes. Co-developed, User-driven Tools Co-develop & transition satellite-based tools that empower farm to policy decisions.
Develop capacity in the current and future workforce to use satellite data to support agriculture. Continuity in High-quality Satellite Data to Serve Agriculture Share the agriculture community information needs with the space agencies, commercial space companies, and others to guide next-generation satellites and innovation needs.
Colorado State University Michigan State University Mississippi State University North Carolina State University University of Illinois Urbana-Champaign Continued Development Towards Robust Monitoring of Cropland Carbon Budget Under Management Interventions in the US Heartland: Integrating Satellite Observations, Bottom-Up and Top-Down Modeling University of Illinois Urbana-Champagne Project Lead: Kaiyu Guan (UIUC) ARYA Operational Yield Forecasting Model at the National and County Level Project Leads: Sergii Skakun (UMD), Natacha Kalecinski (UMD) Remote Sensing and Agroecosystem Modeling to Support Resource-Efficient Nitrogen Management in the Midwest University of Illinois Urbana-Champagne Project Lead: Kaiyu Guan (UIUC) CONUS Crop Field Boundary Extraction Michigan State University Project Leads: David Roy (MSU), Lin Yan (MSU) Crop Yield and Condition Monitoring for U.S. Project Lead: Ritvik Sahajpal Investigating the Impact of Cover Cropping, No-Till, and New Hybrid Adoption on Crop Yields and Resilience Project Leads: David Lobell How EO Data can be a Key Enabler for Uncovering the Cost Component of Resource-Efficient Agriculture Transitions North Carolina State University Project Lead: Rod Rejesus (NCSU) Advancing Plant Pest and Disease Detection with Satellite EO Project Leads: Katie Gold (Cornell), Yu Jiang (Cornell) Critical Institutional Analysis of Digital Agriculture Innovation Project Lead: Steven Wolf (Cornell) Using Satellite EO to Strengthen Food Security for Hawaiians Project Lead: Hannah Kerner (ASU) Explore the Quick Depletion of Ground Water Table Over the Lower Mississippi Alluvial Plain Using Remote Sensing Evapotranspiration Project Leads: Yun Yang (MSU) , Martha Anderson (MSU) Improving EO Methods for Conservation Agriculture Practices & Evaluating How They Impact Soil Health North Carolina State University Project Leads: W.
D.
Hively (USGS), Alison Thieme (USDA-ARS), Christopher Reberg Horton (NCSU), Steven Mirsky (USDA-ARS) Exploring Satellite EO to Support Rangeland Health and Productivity Colorado State University Project Lead: Tony Vorster (CSU) Advancing Application of Enhanced Vegetation Index Data Products in the U.S. National Greenhouse Gas Inventory Colorado State University Project Lead: Stephen Ogle (CSU) Please note that this webpage is under construction and does not represent the full portfolio of NASA Acres projects.
NASA Acres Project Lead Institutions Colorado State University Mississippi State University Michigan State University University of Illinois Urbana Champaign North Carolina State University
According to the current listing, eligibility includes: Academic institutions, farmers, ranchers, agri-technology companies, and other agrifood system decision-makers collaborating on projects that utilize NASA Earth observations. Confirm the full requirements in the official notice before applying.
NASA Acres is funded by National Aeronautics and Space Administration (NASA) / University of Maryland (Lead Institution). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Hopkins expanded its Pivot and Bridge program from $12.5M to $60M annually, raised the per-award cap to $250K, and dropped the divisional match requirement. Maryland chipped in $8.5M. The structure tells you where private bridge-funding is heading.
Read articleNASA published an RFI on September 12, 2026 seeking states willing to host and sponsor the new United States Space Academy, with responses due October 26 at 6 p.m. EDT through SAM.gov. Only a governor or a governor's designee may submit, and only once per state. The timeline demands groundbreaking by 2027, 300 students in temporary facilities in 2028, and a permanent campus by 2031. Here is what that structure actually means for universities, economic development agencies, and contractors in the states that compete.
Read articleThe full ASPECT NOFO (DE-FOA-0003647) posted September 4, 2026, eleven days later than the Notice of Intent predicted. The real document splits $58 million across two topic areas with anticipated award counts of 0-7 and 0-3, a cost share that jumps from 20 percent to 50 percent mid-project, a mandatory five-page concept paper due October 9, and a university eligibility restriction that decides team structure before anyone writes a word.
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