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A scattering model-informed deep transfer learning framework for surface soil moisture retrieval
DOI:10.1016/j.rse.2026.115571.png)
Abstract
En 中文
• Transferred scattering-model priors to Sentinel-1 for 10-m soil moisture retrieval • Hybridized model transfer with fine-tuning for interpretability and generalization • Corrected vegetation effects via deep learning without in situ vegetation parameters • Achieved accurate retrieval in vegetated areas without surface roughness parameters
Keywords:
Soil moisture retrieval
Theoretical model
Scattering mechanism
Deep learning
Feature transfer
Parameter fine-tuning
Journal
IF:
11.4
Papers:
1.1W
Citations:
9.4W

