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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-03: A Contrastive Self-supervised Learning Model for Soil Moisture Retrieval from P-band PolSAR
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  • Location Icon225-227
    NOLA CC
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Author(s):
Sam Khallaghi, Clark University (First Author, Presenting Author)
Anke Fluhrer, German Aerospace Center DLR Oberpfaffenhofen
Thomas Jagdhuber, Microwaves and Radar Institute, German Aerospace Center (DLR)
Hamed Alemohammad, Clark University

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