[Purpose]Soil moisture has profound impacts on crop growth,ecosystem balance,and water resource stability.Accurate monitoring of soil moisture spatial distribution and temporal variations is crucial for agricultural production and environmental protection.The development of remote sensing technology provides technical support for soil moisture inversion.Radar remote sensing,with its ability to work day and night and penetrate cloud cover and vegetation,plays an irreplaceable role in obtaining key information about land surface and soil in soil moisture inversion.[Method]This study systematically explored the research progress of radar remote sensing in soil moisture inversion.It introduced the development history and characteristics of theoretical models,empirical models,and semi-empirical models for inversion.It discussed the application of artificial intelligence and polarimetric decomposition methods in soil moisture inversion,and the principles and applications of optical and radar remote sensing synergies in soil moisture inversion,focusing on the synergistic inversion method combining optical models and water-cloud models.[Result]The article identified issues with radar soil moisture inversion,including the high cost of obtaining radar remote sensing images and validation data,difficulties in modeling inversion under crop cover,and challenges in integrating optical and radar data.[Conclusion]In the future,high-quality radar datasets should be established,fixed-point observation instruments should be developed,semi-empirical inversion models should be promoted,and artificial intelligence technology should be introduced into multisource data fusion,in order to promote the improvement of accuracy and efficiency in radar remote sensing soil moisture inversion.
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