Remote Sensing of Inland Waters and Their Catchments (2nd Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 108
Special Issue Editors
Interests: digital image process; remote sensing; GIS
Interests: remote sensing; machine vision; Landsat time series; land cover
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; satellite remote sensing; GIS; machine learning; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Inland waters and their catchments are vital components of the global hydrological cycle and ecological equilibrium. They provide essential resources such as drinking water, agricultural irrigation, and fisheries, while also playing a critical role in climate regulation and biodiversity preservation. However, the combined pressures of climate change and increasing human activities have intensified challenges for these aquatic ecosystems, leading to issues such as water quality degradation, instability in hydrological regimes, and a decline in ecological functions.
The rapid advancement of remote sensing and artificial intelligence (AI) technologies has opened new avenues for research on inland waters and their catchments. On the one hand, high-resolution, multi-sensor satellite data (e.g., optical, radar, and thermal infrared) have significantly expanded the scope and coverage of monitoring, enabling more comprehensive spatiotemporal tracking of water quality, hydrological dynamics, and ecological conditions. On the other hand, the rise of AI, especially deep learning techniques, has greatly enhanced data processing and analytical efficiency, offering more automated methods for extracting key water parameters, detecting water body changes, and so on. Furthermore, integrating remote sensing with hydrological and ecological models provides a comprehensive understanding of watershed processes and robust scientific support for integrated watershed management and sustainable development.
This Special Issue aims to explore the latest advancements and applications of remote sensing technology in inland water and watershed studies, with a particular focus on the following areas: applications of novel remote sensing data in water environment monitoring; innovations in water quality parameter retrieval using advanced algorithms such as machine learning, multisource data fusion, and assimilation techniques; remote sensing-based hydrological and ecological process modeling at the watershed scale; and remote sensing-supported water resource management and decision-making. Through this Special Issue, we seek to foster academic exchange and promote application of remote sensing technology in water environment research.
We look forward to receiving your contributions.
Dr. Cheng Su
Dr. Hankui Zhang
Prof. Dr. Rafia Mumtaz
Guest Editors
Manuscript Submission Information
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Keywords
- inland waters
- catchments
- multispectral/hyperspectral sensors
- data fusion
- water body monitoring
- water quality
- flood disasters
- AI algorithms
- ecological balance
- sustainable development
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Related Special Issue
- Remote Sensing of Inland Waters and Their Catchments in Remote Sensing (22 articles)
