Remote Sensing Technologies in Hydrology and Water Resource Analysis
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 10 December 2025 | Viewed by 38
Special Issue Editors
Interests: remote sensing; hydrology; water resources
Interests: hydrology; remote sensing; ecohydrology; water resources; hyperspectral
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing technologies are transforming the way we observe and analyze hydrological systems, providing detailed insights into river morphology, sediment transport, water quality, and discharge dynamics at multiple spatial and temporal scales. The aim of this Special Issue is to bring together cutting-edge research that integrates remote sensing, hydrological modeling, and geomorphological analysis to support sustainable water resource management.
Contributions focusing on the use of satellite imagery, UAV-based multispectral and hyperspectral sensors, LiDAR, and structure-from-motion (SfM) photogrammetry to map and monitor river corridors are welcome. Special emphasis is placed on the characterization of planform evolution, fluvial dynamics, and sediment transport using Earth observation data, including the application of object-based image analysis (OBIA) and artificial intelligence for feature extraction.
This Special Issue also encourages the integration of hydroacoustic methods, such as acoustic Doppler current profilers (ADCPs), with remote sensing approaches to improve quantification of suspended sediment concentrations and sediment fluxes in rivers. In addition, we welcome studies that incorporate remotely sensed data into hydrological and river flow modeling frameworks to improve flow estimation, flood forecasting, and water resource assessment at the basin scale.
By promoting interdisciplinary contributions, this Special Issue aims to advance the use of remote sensing technologies in hydrology, river science, and environmental monitoring.
Dr. Santiago Yepez
Dr. Jordi Cristóbal Rosselló
Guest Editors
Manuscript Submission Information
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Keywords
- fluvial geomorphology
- sediment transport
- hydroacoustic methods (ADCP)
- streamflow and discharge modeling
- UAV multispectral and hyperspectral imagery
- object-based image analysis (OBIA)
- river planform change
- artificial intelligence in remote sensing
- water quality monitoring
- hydrological modeling
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