Model-Based Monitoring of Soil Moisture Dynamics in Agriculture
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Soils".
Deadline for manuscript submissions: closed (25 April 2024) | Viewed by 182
Special Issue Editor
Interests: numerical models; remote sensing; GIS techniques; ecology; application of LiDAR
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Soil moisture plays a key role in almost every growth stage of agricultural plants, including germination, sprouting, seeding, vegetating, budding, flowering, and ripening. In-suit soil moisture sensors can continuously measure soil moisture at various depths with very high accuracy. However, the costs associated with in-suit soil moisture monitoring including installation, operation, and maintenance in agricultural fields are high, and spatial coverage is usually limited. Tremendous progress has been made in the airborne and spaceborne remote sensing of soil moisture, which is effective, efficient, and less expensive. However, at the current stage of development, it is very difficult to continuously monitor soil moisture from air or space, and remote sensing techniques are only effective in measuring soil moisture in the top thin soil layer (2–5 cm). Numerical simulation is an important approach for monitoring and understating soil moisture dynamics in agricultural fields, and it allows all limitations associated with in-suit, airborne, or spaceborne soil moisture monitoring to be overcome. Therefore, to report the progress made in the model-based monitoring of soil moisture dynamics in agriculture, this Special Issue solicits papers on the latest scientific findings and advances in numerical simulations of soil moisture in agriculture fields at different scales (e.g., point, plot, field, catchment, and watershed) and in the different growth stages of agricultural plants.
Prof. Dr. Feifei Pan
Guest Editor
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Keywords
- soils
- soil moisture
- sensors
- numerical simulation
- remote sensing
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