Integration of Observation and Simulation Methods for Watershed Water Cycle Processes

Submission Deadline: 30 June 2025 View: 80 Submit to Special Issue

Guest Editors

Prof. Dr. Fei Zhang

Email: zhangfei3s@163.com

Affiliation: College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China

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Research Interests: Remote sensing; water environment; landscape pattern; land use/land cover; modelling building; data reconstruction; image fusion

Dr. Xiaoping Wang

Email: wxp4911@163.com

Affiliation: College of Natural Resources and Environment, Northwest A&F University, Xianyang, 712199, China

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Research Interests: Terrestrial water-carbon cycle; environment monitoring and management

Dr. Chenfeng Wang

Email: chenfengwangbjfu@163.com

Affiliation: College of Soil & Water Conservation Science and Engineering (Institute of Soil and Water Conservation), Northwest A&F University, Xianyang, 712199, China

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Research Interests: Soil and water conservation; soil erosion; hydrological Modeling

Summary

Surface water is a critical resource that supports ecosystems, agriculture, industry, and human consumption. Monitoring its quality and quantity is vital for sustainable water management, particularly in the face of climate change, urbanization, and increasing water demand. Evapotranspiration (ET), the process of water movement from land to the atmosphere, is also a crucial variable influencing water balance and availability. Remote sensing technologies have revolutionized the way these parameters are observed and assessed by providing large-scale, consistent, and cost-effective monitoring capabilities. Integrating remote sensing techniques into water management strategies enhances decision-making processes and supports the development of predictive models for better resource utilization.

Aim and Scope

This Special Issue aims to explore recent advancements in remote sensing applications for monitoring surface water quality, quantity, and evapotranspiration. It seeks to highlight innovative methodologies, sensor technologies, and interdisciplinary approaches that improve our understanding and management of surface water systems. By showcasing state-of-the-art research and practical implementations, this issue aims to foster collaboration among scientists, policymakers, and practitioners to address global water challenges.

Suggested Themes

Advances in remote sensing techniques for surface water quality monitoring (e.g., turbidity, chlorophyll-a, and pollution tracking).

Estimation of surface water quantity through remote sensing, including water body extent and volume dynamics.

Remote sensing methods for evapotranspiration mapping at various spatial and temporal scales.

Applications of machine learning and data fusion in integrating multi-source remote sensing data for water management.

Case studies on the use of remote sensing for drought and flood assessment in water-scarce and flood-prone regions.

Validation and calibration of remote sensing data with in situ observations for enhanced accuracy.

The role of remote sensing in modeling hydrological cycles and supporting sustainable watershed management.

Challenges and opportunities in operationalizing remote sensing for real-time water quality and quantity monitoring.

This Special Issue will serve as a platform to disseminate cutting-edge research and promote innovative practices for monitoring and managing surface water systems globally.

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