Use of Remote Sensing Technologies for Water Resources Management
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 554
Special Issue Editors
Interests: satellite hydrology; UAV remote sensing; predictive modeling; feature engineering; public health; water monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue titled “Use of Remote Sensing Technologies for Water Resources Management” incorporates a wide array of remote sensing technologies, including satellite, UAV, LiDAR, ground-based sensors, and radar imaging, to capture comprehensive data about water systems. The focus is on integrating traditional and non-traditional remote sensing tools for monitoring hydrological systems and water resources. In terms of methodology, this issue emphasizes the application of cutting-edge techniques such as machine learning and deep learning for data processing and analysis and the effective use of traditional analytics and statistical methods. This combined approach aims to support innovative decision making in water resource management, ensuring that advanced and conventional methodologies contribute to solving key water challenges. Applications will span diverse domains, including water quality assessment, flood and drought prediction, agricultural water use optimization, and urban water management. In addition, this Special Issue will highlight how remote sensing is addressing key public health challenges such as hazardous algal blooms (HABs) and waterborne disease monitoring. Remote sensing technologies are crucial in early detection and mitigation of harmful environmental conditions that impact public health, including monitoring pollution and managing waterborne pathogens. This issue aims to advance the resilience of water systems and public health infrastructure by fostering innovative methodologies.
Dr. Anuj Tiwari
Guest Editor
Dr. Anukesh Krishnan Kutty Ambika
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- satellite remote sensing
- unmanned aerial vehicle (UAV)
- LiDAR hydrology
- ground-based remote sensing
- geospatial intelligence
- hydrological modeling
- flood and drought prediction
- hazardous algal blooms (HABs)
- waterborne disease monitoring
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