Remote Sensing Innovations for Water Resources Assessment

Dear Colleagues,

Effective management of global water resources demands accurate, timely, and scalable monitoring solutions. This Special Issue focuses on the pivotal role of cutting-edge remote sensing technologies in revolutionizing water resource assessment. We seek to compile innovative research that leverages novel sensors (multispectral, hyperspectral, thermal, SAR, LiDAR, and GRACE), advanced platforms (next-generation satellite constellations and UAVs), and pioneering data-processing techniques (machine learning, data fusion, and cloud computing) to address critical hydrological challenges.

The scope encompasses all compartments of the water cycle, including but not limited to the following: surface water dynamics and storage; soil moisture; groundwater recharge and depletion; snow hydrology and glacial melt; water quality and biogeochemical parameters; and evapotranspiration estimation. Contributions that bridge the gap between observational science and practical application are encouraged, such as the integration of remote sensing data with hydrological, land surface, or climate models to improve forecasting, support sustainable management, and inform policy. This Special Issue aims to highlight methodological breakthroughs and their application in enhancing resilience and security for water resources under climate change and anthropogenic pressure.

Prof. Dr. Felipe Omar Tapia Silva
Dr. Guobin Fu
Guest Editors

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