Optimizing the Radiative Transfer Model Using Deep Neural Networks for NISAR Soil Moisture Retrieval
Soil moisture retrievals based on rigorous physical backscattering models require a comprehensive description of the vegetation structure and biophysical parameters, including the density of the scatterers, height, and vegetation water content. Semiphysical models, such as the water cloud model, are...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10994807/ |
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