Phenology-guided deep learning for automated rice mapping using SAR time-series imagery
Accurate and timely rice mapping at regional scales is essential for global food security monitoring, agricultural policy development, and sustainable intensification efforts. Synthetic Aperture Radar (SAR) provides all-weather, day-and-night observation capabilities, making it particularly suitable...
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| Main Authors: | , , , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Taylor & Francis Group
2026-01-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2026.2620881 |
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