Remote Sensing and GIS in Water Resource Management
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water and Climate Change".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 38
Special Issue Editors
Interests: remote sensing; hydrology; climate change; water resources management; hydrological modelling; machine learning
Interests: hydrology; remote sensing; climate change; hydrological modelling; hydrological extremes; forecasting; flood risk; human impacts; water resources management
Special Issue Information
Dear Colleagues,
Nearly 80% of the world's population faces severe water security threats due to climate change, population growth, rapid urbanization, and socioeconomic development. The recent increase in hydro-climatic extremes such as droughts and floods has intensified the spatiotemporal mismatch between water supply and demand. This mismatch jeopardizes the stability and resilience of social-ecological systems, necessitating innovative tools for sustainable management. This Special Issue aims to showcase cutting-edge research and practical applications of Remote Sensing (RS) and Geographic Information Systems (GISs) as transformative tools in addressing the critical issues related to water resource management. We invite contributions that explore satellite-based monitoring and GIS-driven spatial analysis of surface water dynamics, groundwater changes, snow and glacier melt contributions to river flows, land cover changes, and model improvements, particularly using multisource remote sensing techniques such as satellite gravimetry (e.g., GRACE) and satellite altimetry (e.g., SWOT). Studies on flood and drought risks, integrated watershed management, and climate adaptation strategies are highly encouraged. Additionally, submissions that integrate RS and GIS data with hydrological frameworks or policy initiatives to support sustainable water management and stakeholder engagement are of particular interest. We also welcome research leveraging advanced techniques, such as machine learning, cloud-based geospatial platforms, open-source tools, and hybrid models combining physical and data-driven methods, to enhance the accuracy, scalability, and accessibility of water resource analysis. By fostering interdisciplinary collaboration, this Special Issue seeks to provide a platform for researchers, hydrologists, and policymakers to share innovative methodologies, case studies, and practical tools that advance resilient and equitable water management strategies, addressing the complex challenges facing global water systems.
Dr. Xueying Li
Dr. Amar Deep Tiwari
Dr. Liu Liu
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- geographic information systems
- water resource management
- hydrological monitoring and modeling
- climate change adaptation
- flood risk
- drought assessment
- machine learning
- hybrid models
- geospatial analytics
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