- GC52D-01: NASA Acres and the Essential Agriculture Variables: Contributions and Collaborations toward a Globally-Consistent, Site-Relevant Agricultural Knowledge System
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NOLA CC
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Alyssa Whitcraft, University of Maryland College Park (First Author, Presenting Author)
Michael Humber, University of Maryland College Park
Kaiyu Guan, University of Illinois Urbana-Champaign
Ritvik Sahajpal, University of Maryland College Park
Guanyuan Shuai, University of Maryland College Park
Natacha Kalecinski, University of Maryland
Alison Thieme, University of Maryland
W. Hively, U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center
Lin Yan, Michigan State University
David Roy, Michigan State University
Allison Bredder, University of Maryland College Park
Sven Gilliams, GEOGLAM Secretariat
NASA Acres is NASA’s consortium designed to bridge the gap from space-to-farm and education-to-impact in U.S. agriculture. Launched in 2023, NASA Acres is led by the University of Maryland in close partnership with NASA’s Agriculture Program, 12 lead organizations, and >40 collaborating, multisectoral, multidisciplinary partners nationwide.NASA Acres is built upon a dual foundation: organizationally, upon co-creation and implementation of projects between satellite data practitioners and agricultural producers and agrifood system actors; and, scientifically, upon the Essential Agriculture Variables (EAVs). EAVs were launched in 2019 in the context of GEOGLAM as consensus-based characterizations (definitions, typologies, and requirements) for key building blocks that describe state, change, and forecast in agriculture. On their own or in combination with one another and/or other contextual information, EAVs provide the foundation for an agricultural knowledge system that transcends scales and borders.
Our Consortium partners are contributing to updated characterizations for the EAVs that are currently being drafted by >45 international partners across the GEOGLAM Community of Practice. This talk will demonstrate select NASA Acres EAVs (yield, cover crop, field boundaries), and identify opportunities to contribute.
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