Advancements in Remote Sensing Techniques for Wetland Hydrology and Ecosystem Monitoring

Dear Colleagues,

Wetlands are among the most dynamic and ecologically valuable ecosystems on Earth, yet they remain highly vulnerable to hydrological alteration, land use change, and climate extremes. In recent years, rapid advancements in remote sensing technologies have substantially improved our ability to observe wetland hydrology and ecosystem processes across previously unattainable spatial and temporal scales. High-resolution optical imagery, SAR data, LiDAR, hyperspectral sensors, and emerging multi-source data fusion techniques now enable the more accurate monitoring of inundation patterns, vegetation dynamics, hydroperiod variability, surface–groundwater interactions, and ecosystem health indicators.

This Special Issue aims to bring together innovative research that advances methodological, technical, and applied aspects of remote sensing in wetland hydrology and ecosystem monitoring. We welcome contributions that explore machine learning and deep learning approaches, time-series analysis, multi-sensor integration, data assimilation strategies, and uncertainty assessment frameworks. Studies focusing on climate change impacts, restoration monitoring, carbon dynamics, biodiversity assessment, and decision-support applications in sustainable wetland management are particularly encouraged. Through this collection, we seek to foster interdisciplinary dialogue and promote practical solutions for long-term wetland conservation and resilience.

Dr. Rana Waqar Aslam
Guest Editor

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