Microwave Remote Sensing for Quantitative Parameters Retrieval: Methods and Applications

Dear Colleagues,

For the remote sensing monitoring of the Earth’s surface and subsurface, microwave remote sensing, including active (SAR, Ground Penetrating Radar, Scatterometers, etc.) and passive (Radiometers) have shown a high potential to provide valuable information at various spatial and temporal scales. In recent years, the availability of open, global microwave data has gained increasing importance in Earth observation because of its ability to operate at all days. The suitability of microwave data for monitoring the main land parameters has been demonstrated using spaceborne, airborne, ground-based and underground sensors.

Microwave signals at different frequencies and polarizations have revealed a good sensitivity to the main land parameters of the hydrological cycle and the energy survey, such as the soil moisture, snow parameters, surface stratification , etc. This Special Issue aims to present the state-of-the-art research in microwave remote sensing for the retrieval of quantitative parameters, e.g. soil moisture, vegetation water content, snow depth and snow water equivalent at both local and global scales. Contributions are invited from across the spectrum of microwave remote sensing for the retrieval of quantitative parameters, including but not limited to new sensors, new processing techniques, retrieval approaches, field experiments and observations. For this Special Issue, we welcome the submission of manuscripts addressing all aspects that merge the use of microwave remote sensing data with physical radiative transfer models, statistical models, and Artificial Intelligence (AI) in the retrieval of quantitative parameters.

Prof. Dr. Xiaofeng Li
Prof. Dr. Lingjia Gu
Dr. Liyun Dai
Prof. Dr. Decheng Hong
Guest Editors

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