Soil Sensors

Soil hydrology studies the movement, storage, and availability of water in the soil. This includes processes such as infiltration, percolation, capillary rise, soil evaporation, evapotranspiration, and groundwater recharge. Understanding these processes is crucial for evaluating the water balance of ecosystems, assessing water availability for plants, managing water resources sustainably, and understanding the impacts of climate change on terrestrial systems.
 

Typical parameters include soil moisture, soil water potential, precipitation, seepage water, groundwater level, soil temperature, and meteorological variables. Additional measurements often include evapotranspiration, hydraulic conductivity, and solute transport to comprehensively characterise the soil water balance.

Many hydrological processes vary seasonally and are influenced by changing climate conditions. Long-term datasets enable the analysis of trends, extreme events, and changing precipitation patterns, providing the basis for reliable hydrological models and sustainable water management strategies.
 

Only by combining parameters from the soil, water, vegetation, and atmosphere is it possible to take a holistic view of the interactions among these components. This creates a reliable data foundation for applications in areas such as research, agriculture, forestry, water management, and the sustainable management of ecosystems.
 

Sensors used in scientific research must provide stable and reproducible measurements over extended periods. High accuracy, low signal drift, robust construction, calibration capability, and seamless integration into automated data acquisition systems are essential requirements.
 

Digital sensor networks enable the continuous acquisition and automated integration of large amounts of data from numerous distributed measurement points. IoT technologies extend these systems with wireless, energy-efficient data transmission and the flexible integration of decentralized sensors. This enables extensive monitoring networks to be operated efficiently and environmental changes to be detected and evaluated in a timely manner.