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  • Presentation | H43I: Earth System Science and Applications Based on a Decade of NASA Soil Moisture Active Passive (SMAP) Satellite Mission Science Data Products I Poster
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  • [ONLINE] H43I-VR8085: Deep Learning-Based Radio Frequency Interference Detection for SMAP Radiometry Using Semi-Synthetic Time-Frequency Representations
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Author(s):
Ahmed Manavi Alam, North Carolina State University (First Author, Presenting Author)
Mehmet Kurum, University of Georgia
Ali Gurbuz, North Carolina State University

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