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Abstract: Domain‑Adversarial Learning Improves Soybean Root Biomass Estimation Across Contrasting Climate Regimes Using Multi‑Temporal SkySat Imagery (AGU25)

Domain‑Adversarial Learning Improves Soybean Root Biomass Estimation Across Contrasting Climate Regimes Using Multi‑Temporal SkySat Imagery

Alifu Haireti1, Vasit Sagan1, Abuduwanli Maiwulanjiang2, Supria Sarkar2, Heng Ye3, Dhandapani Raju3 and Henry Nguyen3, (1)Saint Louis University, Remote Sensing Laboratory, Department of Earth, Environmental and Geospatial Science, St. Louis, United States, (2)Saint Louis University, Department of Earth and Atmospheric Sciences, Saint Louis, United States, (3)University of Missouri, Division of Plant Science and Technology, Columbia, United States
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