Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach
The episode discusses a paper that uses knowledge-guided deep learning to estimate field-scale soil moisture from Sentinel-1 radar data. This hybrid AI approach combines machine learning with physical models to improve accuracy over traditional methods. The technique was tested in Australia, showing improved reliability for water management and farming.