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  • Presentation | GC32D: Remote Sensing for Sustainable Agriculture II Oral
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  • GC32D-07: Integrating Remotely-Sensed Agricultural Management into Scalable GHG Modeling Workflows
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Author(s):
Sarah Kanee, Boston University (First Author, Presenting Author)
Charlotte Malmborg, Boston University
Katherine Rein, Boston University
Xinyuan Ji, Boston University
Matthew Kim, Boston University
Nooriya Baxamusa, Cornell University
Chris Black, Pools and Fluxes LLC
David LeBauer, The LeBauer Approach
Michael Dietze, Boston University


Farming practices like planting, irrigation, fertilization, and tillage affect soil carbon storage and greenhouse gas emissions. To better understand these impacts, we are building a system that uses satellite imagery, crop management guidelines, and water balance data to track agricultural activities across California croplands at the field level. These outputs are designed to feed into a biogeochemical model that simulates how carbon and nitrogen move through agricultural systems over time, supporting both annual GHG inventories and scenario-based projections.



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