Modelling, Monitoring and Assessment of Soil Hydrology and Ecological Processes
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Soil and Water".
Deadline for manuscript submissions: 20 January 2026 | Viewed by 114
Special Issue Editors
Interests: ecological remote sensing; ecological restoration; spatial analysis and modeling; hydrologi-cal process ; water and soil conservation
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the simulation, monitoring, and assessment research of soil hydrology and ecological processes. Automated monitoring, multi-element remote sensing, interpretation by new synthetic aperture radar satellites, big data analysis, machine learning, and other emerging technologies are used to measure and calculate the key variables of soil hydrology to improve the accuracy of soil moisture monitoring. Through comprehensive methods, such as multi-source data fusion, physical processes simulation, and deep learning, the soil hydrology processes at different spatiotemporal scales are studied, and the mechanism connections among different scales are explored. In addition, the influence of soil moisture changes on the terrestrial hydrological ecosystem are clarified and the coupling mechanism of "soil–vegetation–hydrology" are analyzed. The connections between soil hydrology, ecological processes, and human activities are analyzed, and the influence of ecological processes on climate and land use changes, etc. are revealed. This Special Issue aims to establish a research paradigm for the simulation, monitoring, and assessment of hydrology-ecological processes, providing scientific basis and decision support for improving the quality of ecosystems and ensuring the sustainable utilization of water resources.
The content of this Special Issue includes, but is not limited to, soil moisture monitoring technology, inversion methods and products by satellite remote sensing and unmanned aerial vehicle, multi-source data fusion and assimilation technology of soil moisture, application of machine learning in the study of soil hydrology processes, simulation of land surface hydrology processes, the influence mechanism of soil moisture changes on ecosystems, simulation, prediction, and evaluation of hydrology ecological processes under different climate scenarios, etc.
Dr. Lei Han
Dr. Ming Zhao
Guest Editors
Manuscript Submission Information
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Keywords
- multi-source remote sensing
- spatial analysis and modeling
- soil moisture
- vegetation ecology
- multiple scale
- climate change
- land use
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