Soil Moisture Monitoring: Measurement and Simulation
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 2549
Special Issue Editors
Interests: the synthetic aperture radar image processing; the application of unmanned aerial vehicle; quantitative estimation of land surface variables from satellite remote sensing and on integration of multiple data sources with numerical models
Special Issues, Collections and Topics in MDPI journals
Interests: public health research based on spatial information technology
Special Issues, Collections and Topics in MDPI journals
Interests: vegetation remote sensing; ecological environment monitoring; climate change
Special Issue Information
Dear Colleagues,
Soil moisture is a key parameter when it comes to understanding the processes related to the water cycle on continental surfaces (infiltration, evapotranspiration, runoff, etc.). It plays a major role in the management of irrigation and the monitoring of extreme events (floods, drought, etc.).
Soil moisture monitoring has advanced in recent years, creating opportunities to transform scientific understanding of soil moisture and related processes. Over the past several decades, great progress has been made in soil moisture monitoring. These include emerging in situ and proximal sensing techniques, dedicated soil moisture remote sensing missions, as well as soil moisture monitoring networks. In addition, the assimilation of soil moisture data for meteorological or hydrologic forecasting also shows promise.
Here, we invite you to publish works that present the use of any method (satellite and aerial RS, UAV, field robot, sensors, and simulation) for assessment of soil moisture. Works devoted to the broadly understood modelling and mapping of soil moisture are also welcome.
The topics of the Special Issue include, but are not limited to, the following:
- Review on soil moisture monitoring;
- Introduction to field, aircraft experiments, or satellite missions for soil moisture;
- Development, calibration, or validation of the theoretical or semi-empirical models used for soil moisture monitoring;
- Development, improvement, or comparison soil moisture monitoring algorithms;
- Evaluation or comparison of soil moisture mapping in situ measurements, model simulations, or other mathematical approaches;
- Application of soil moisture in data assimilation, agriculture, ecology, hydrology, climate change, and other fields;
- Temporal approach to soil moisture monitoring;
- New soil moisture monitoring technology methods, such as machine and deep learning.
Dr. Minfeng Xing
Dr. Min Xu
Dr. Xiliang Ni
Dr. Yuanyuan Yang
Guest Editors
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Keywords
- soil moisture
- time series analysis
- data assimilation
- remote sensing
- retrieval algorithms
- eco-hydrological applications
- soil moisture production
- product validation and error analysis
- soil mapping
- machine and deep learning
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