High-Resolution Soil Moisture Products for Hydrology, Agriculture, and Hazard Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 213
Special Issue Editors
Interests: remote sensing monitoring and modelling of vegetation; climate change impacts and adaptation analysis
Interests: machine learning and deep learning; soil moisture monitoring; hazard impact on agriculture; multi-source data integration; environmental data applications in agriculture
Special Issue Information
Dear Colleagues,
Soil moisture is an essential component of the Earth's hydrological and energy cycles, profoundly affecting processes such as infiltration, runoff, evapotranspiration, and plant growth. High-resolution soil moisture data are essential for capturing spatial and temporal variability at scales relevant to hydrology, agriculture, and hazard management. Recent advancements in remote sensing technologies, data assimilation techniques, and computational modeling have facilitated the development of high-resolution soil moisture products. These innovations enhance our ability to monitor and predict hydrological phenomena, optimize agricultural practices, and manage natural hazards like floods, droughts, and landslides.
The aim of this Special Issue is to showcase cutting-edge research on the development and application of high-resolution soil moisture products. This includes the use of multi-sensor data, machine learning techniques, and integrated approaches that improve the accuracy and spatial detail of soil moisture products for various applications, such as hydrology, precision agriculture, and hazard assessment. This Special Issue encourages submissions that align with the journal’s scope of advancing remote sensing technologies and applications across multiple fields.
- Advances in high-resolution soil moisture retrieval techniques from remote sensing data;
- Data fusion methods combining satellite, airborne, and in situ observations;
- The validation and calibration of soil moisture products using ground measurements;
- The integration of high-resolution soil moisture data into hydrological and agricultural models;
- Applications in drought and flood monitoring, early warning systems, and hazard risk assessment;
- Conceptual and review articles that discuss challenges and future directions in high-resolution soil moisture monitoring.
Dr. Yuchuan Luo
Dr. Juan Cao
Dr. Peng Zhu
Guest Editors
Jichong Han
Guest Editor Assistant
Name: Jichong Han
Affiliation: Joint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, School of National Safety and Emergency Management, Beijing Normal University, Beijing, China
Address: [email protected]
Interests: remote sensing; soil moisture remote sensing; hazard impact on agriculture; earth system and climate science; land cover
Manuscript Submission Information
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Keywords
- high-resolution soil moisture
- remote sensing
- data assimilation
- soil moisture retrieval
- hydrological modeling
- agricultural productivity
- hazard risk assessment
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