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  • Presentation | H44F: Improving Agricultural Water and Soil Moisture Monitoring with Earth Observations and Machine Learning: Innovations in Data-Driven Approaches I Oral
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  • H44F-09: Unveiling thriving small-scale irrigation in Sub-Saharan Africa using geospatial foundation models
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  • Location Icon225-227
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Author(s):
Anna Boser, University of California Santa Barbara (First Author, Presenting Author)
Jackson Coldiron, University of California Santa Barbara
Karena Lai, University of California Santa Barbara
Jasper Luo, University of California Santa Barbara
Madhav Rao, University of California Santa Barbara
Kathy Baylis, University of California Santa Barbara
Kelly Caylor, University of California Santa Barbara


Small-scale irrigation helps farmers grow crops during the dry season and adapt to climate change, but it remains untracked because it happens on many small, scattered fields. In this study, we used satellite images and artificial intelligence to map where irrigation occurs in Zambia each year from 2016 to 2025. Our early results show that small-scale irrigation is widespread and that it has steadily increased over the past decade, providing new information to guide water management and support farmers.



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