Soil Moisture: Remote Sensing Innovations and Applications
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land – Observation and Monitoring".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 18
Special Issue Editors
Interests: machine learning; image processing; pattern recognition; classification; neural networks and artificial intelligence; computer vision; image recognition
Special Issues, Collections and Topics in MDPI journals
Interests: soil moisture; precision agriculture; remote sensing; microwave; radiometer; UAV; GNSS-R
Special Issue Information
Dear Colleagues,
Accurate and timely soil moisture data are essential for sustainable water resource management, mitigating the impacts of droughts and floods, and optimizing precision agriculture practices. Recent advancements in remote sensing technologies, including satellite missions, UAV-based platforms, and ground-based sensor networks, have significantly enhanced our ability to monitor soil moisture dynamics at various spatial and temporal scales.
This Special Issue aims to explore cutting-edge innovations in remote sensing and their application in soil moisture monitoring and modeling. It seeks to bridge the gap between advanced sensing technologies, data processing methodologies, and practical applications in agriculture, hydrology, and environmental management. A particular focus will be the integration of multi-source remote sensing data, the application of machine learning and artificial intelligence techniques, and the development of innovative algorithms for improved soil moisture estimation and prediction.
We invite researchers to contribute original research articles, reviews, and case studies addressing (but not limited to) the following topics:
- Advances in satellite-based soil moisture estimation techniques;
- UAV and GNSS-R innovations for high-resolution soil moisture mapping;
- AI and machine learning applications for soil moisture monitoring and prediction;
- Multi-sensor data fusion for enhanced soil moisture accuracy;
- Soil moisture retrieval algorithms and their validation;
- Applications of soil moisture data in agriculture, hydrology, and climate studies;
- Challenges and opportunities in soil moisture modeling and forecasting.
Dr. Chiranjibi Shah
Dr. Md Mehedi Farhad
Dr. M M Nabi
Guest Editors
Manuscript Submission Information
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Keywords
- soil moisture retrieval
- precision agriculture
- multi-sensor integration
- AI in soil moisture
- hydrological modeling
- microwave remote sensing
- CYGNSS
- SMAP
- sentinel
- SAR (Synthetic Aperture Radar)
- spatiotemporal analysis
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