Advances in Hydrological Remote Sensing

Dear Colleagues,

With the advancement of remote sensing technology, the data for hydrological process simulation and monitoring has become more abundant and diverse. The new technology provides a solid foundation for the study of hydrological processes at different scales such as site, slope, and watershed. Current hydrological research focuses more on large-scale water cycle processes and the coupling relationship between the hydrosphere and other layers. On the other hand, multispectral, high-resolution remote sensing data, and online monitoring data constitute hydrological monitoring big data. These changes pose new challenges to data processing and water cycle research. It also provides new opportunities for the development of hydrological theory and research methods.

This Topic aims to integrate and present the most recent advances that address the challenges in the fields of identification of hydrological processes, hydrological big data analysis and hydrological process simulation. Topics of interest for the publication include, but are not limited to, the following:

• Identification of hydrological processes based on remote sensing
• Dynamic monitoring of water resources
• Remote sensing monitoring of water environment
• Hydrological big data analysis
• Hydrological Process Simulation Based on Big Data

Prof. Dr. Hailong Liu
Dr. Liangliang Jiang
Topic Editors