Application of Remote Sensing Technology in Hydrological Research

Dear Colleagues,

This Special Issue aims to showcase recent advancements in the application of remote sensing technologies to hydrological research and water resource management. With the rapid development of satellite-based observations, multisource data fusion, and machine learning techniques, remote sensing has emerged as a critical tool for monitoring hydrological processes at various spatial and temporal scales. The integration of these technologies offers enhanced capabilities for tracking hydrological dynamics, improving the estimation of key variables, and providing valuable insights for water resource assessment and management. The Special Issue will focus on studies that improve our understanding of hydrological dynamics, enhance the estimation of key variables, and support water resource assessment and management. Contributions are encouraged on the integration of remote sensing observations with hydrological models, the retrieval of hydrological and ecohydrological variables, and the investigation of climate and human impacts on water-related processes.

Topics of interest include, but are not limited to, the following:

• Remote sensing of evapotranspiration, soil moisture, runoff, groundwater, and snow dynamics;
• Hydrological and ecohydrological modeling;
• Remote sensing of vegetation–water interactions;
• Water resource dynamics under climate change and human activities;
• Machine learning in hydrological remote sensing.

We look forward to receiving your contributions.

Dr. Haibo Wang
Guest Editor

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