Deep Drainage
Study groundwater recharge, nutrient or contaminant leaching, and the influence of land management practices on water retention and drainage across a larger area with affordable, easy to use instruments.
The deeper in the soil you monitor, the more complex the measurement process gets. And in many research projects, that complexity leads to hard tradeoffs:
Sacrificing resolution for affordability
Risking missed transport events because your system isn’t automated or continuous
Choosing between lab precision and field practicality
Without dependable deep-profile data, you risk flawed management decisions, compromised compliance, and lost opportunities to prevent groundwater contamination before it starts.
Monitoring solute movement shouldn’t require a patchwork of disconnected tools or a field crew on standby. We’ve built an integrated, end-to-end approach that works from day one and scales with your site, your team, and your timeline.
Here’s how to begin:
Define your contaminant transport goals: Are you tracking nitrate, salt, or pesticides? Are you monitoring infiltration or drainage?
Select a package built for your needs: We’ll guide you to the right sensor combination based on your soil profile and depth targets.
Install quickly and cleanly: With intuitive hardware, trench-ready designs, and remote logger sync, you quickly be up and running.
Access and share data anytime: ZENTRA Cloud lets you visualize EC spikes, correlate with rainfall events, and export reports instantly.

– Senior Adjunct Research Fellow Michael Forster, PhD | Griffith University, Queensland, Australia
Study groundwater recharge, nutrient or contaminant leaching, and the influence of land management practices on water retention and drainage across a larger area with affordable, easy to use instruments.
Plant growth, microbial activity, nutrient availability and transport, soil erosion, soil compaction, soil respiration, water infiltration and drainage are all dependent on soil moisture. Measure the amount of water, its availability, and predict where it will move with our water content and water potential sensors.
Track groundwater recharge, water flows through canals or channels, or solute concentration using all-in-one sensors. Combining these sensors with a remote data logger allows you monitor water quality and levels across a wide area without frequent site visits.
LABROS is an innovative collection of soil science laboratory instruments, each designed to work individually or as part of a larger, automated system. Conduct Automated Particle Size Analysis and measure Soil Moisture Release Curves, Saturated and Unsaturated Hydraulic Conductivity, Thermal Conductivity from a single sample.
Measure the movement and distribution of water in the soil to inform water management, predict soil behavior under a variety of moisture conditions, measure groundwater recharge, or optimize agricultural practices for efficient water usage. Field instruments like the SATURO set the standard for simple, accurate, and time-efficient data collection.

Customize your data collection and logging solution by combining multiple METER sensors with the ZL6 Data Logger and ZENTRA Cloud. ZENTRA stores your data in the cloud, allowing easy access to your data and near-real-time reports from all of your data loggers.
Avoid costly field visits by accessing your data from any web-connected device. Analyze it with ZENTRA Cloud’s built-in visualization tools, and easily share insights without tracking down log files on individual computers.
Streamline your laboratory analyses and reduce human error using the innovative LABROS soil science laboratory collection. Perform automated particle size analysis, generate soil moisture release curves, or measure thermal and hydraulic conductivity with METER laboratory instruments designed to produce accurate analyses in a fraction of the time of other methods.
Even better, LABROS instruments can be combined to perform all of these analyses from a single sample, saving time and reducing measurement errors due to variations in sample characteristics.


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