SARMoistX: temporal forecasting of vegetation moisture using SAR imagery
Accurate vegetation moisture estimation is essential for wildfire prediction, climate modeling, and ecosystem monitoring. However, traditional ground-based methods lack scalability and fail to provide continuous spatial coverage, presenting a critical research gap in large-scale vegetation monitorin...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/22797254.2025.2486446 |
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