Applications of Multi-Source Remote Sensing Technologies in Soil Moisture Monitoring

Dear Colleagues,

Soil moisture (SM) is a key parameter in hydrological, meteorological, and climatological modelling as it influences the exchange of water, carbon and heat flux between the atmosphere and the land surface. It also provides essential information for drought forecasting, flood prediction and crop management. Over the past decades, mutli-source remote sensing techniques have been developed to measure SM in a large scale. Multi-spectral remote sensing, applying active and passive microwave remote sensing techniques, can measure SM from the regional to the global scale with a high accuracy.

This Special Issue aims to showcase the latest progress in remote sensing-based soil moisture monitoring, addressing existing challenges and exploring future research directions. Contributions discussing the effectiveness, limitations, and potential of remote sensing technologies and models in soil moisture monitoring are especially encouraged.

Original research articles, review papers, and technical investigations are welcome, focusing on topics including but not limited to the following:

• Validation and evaluation of remote sensing based soil moisture products with in situ measurements;
• Application of remote sensing technologies for soil moisture monitoring in various land covers;
• Advancements in models and algorithms for soil moisture inversion using spacebore or airborne multispectral remote sensing, passive microwave remote sensing or SAR;
• Investigations the soil moisture changes in a large scale or for a long time;
• Advancements in models and algorithms for soil moisture inversion by fusing multi-source remote sensing data.

We encourage submissions that highlight interdisciplinary approaches, innovative methodologies, and their implications for practical applications in soil moisture monitoring.

Dr. Lingli Zhao
Dr. Hongtao Shi
Dr. Weidong Sun
Guest Editors

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