In an Expert Focus article for WaterBriefing, Alastair MacLeod, CEO of IoT specialists Ground Control, takes a detailed look at how satellite IoT is being used in enhancing remote water system monitoring.

Alastair MacLeod: There is a noticeable shift in how monitoring data is being treated across the water sector. It is no longer something that sits quietly in the background of operations, collected for compliance and reviewed periodically. It is being examined more closely, and more often, by a wider set of stakeholders. Regulators are asking more of it, the public is seeing more of it, and when incidents occur, it is often the first place scrutiny turns.

In England, the Environment Act has formalised requirements around storm overflow monitoring, alongside a broader push for transparency that has kept the issue firmly in the public eye. At the same time, enforcement has hardened. Serious breaches can now attract substantial penalties, and the practical threshold for intervention has lowered.

In the United States, a similar dynamic plays out through NPDES reporting, where the accuracy and completeness of discharge monitoring reports can quickly become a compliance issue in their own right. Taken together, these pressures are changing what is expected of monitoring systems. It is no longer enough to demonstrate that monitoring is in place. The expectation now is that the data is continuous, time-aligned and can be defended after the fact. In practice, that is placing far more weight on the reliability of the data pathway itself, particularly how information is transmitted from remote sites.

Where systems begin to fall short

That shift is beginning to expose some of the weaker assumptions in how monitoring systems are designed, particularly in relation to connectivity. In many cases, the issue is not measurement, but how reliably that data can be transmitted from remote sites. A large number of monitoring points, by their nature, sit in locations where communications infrastructure is limited. River sites, reservoirs and discharge locations are often well outside reliable cellular coverage, and even where coverage appears available, it is rarely consistent. Performance can degrade during periods of high demand, adverse weather or power disruption, which tend to coincide with the very conditions under which monitoring data becomes most important.

In day-to-day operations, these limitations are often managed pragmatically. Data may be buffered locally and transmitted later, or gaps may be filled through interpolation and manual reconciliation. Over time, these approaches become embedded in operational practice and are rarely questioned. The difficulty arises when the data is subject to external scrutiny. If a gap appears at the same time as an incident, or if timestamps cannot be traced cleanly from the point of measurement through to reporting, confidence in the dataset begins to erode.

At that stage, the discussion moves beyond individual readings and towards the reliability of the system as a whole. For operators, that is starting to translate into a design question rather than an operational workaround.

This is where connectivity architecture, including the role of satellite, starts to matter.

The role of satellite in removing uncertainty

Satellite IoT has a practical role here. Rather than being viewed as a specialist or last-resort technology, it can be understood as a way of removing a specific and well-defined source of uncertainty. Satellite networks make it possible to transmit data from locations where terrestrial connectivity cannot be relied upon, without introducing dependency on local infrastructure.

For most water monitoring applications, the requirement is not for high bandwidth, but for the dependable delivery of relatively small, time-sensitive messages such as alerts, threshold breaches and system status updates. In that context, satellite connectivity provides assurance that these critical events are communicated when they occur, rather than when a network becomes available again.

In practice, the most resilient monitoring systems tend to use satellite and terrestrial connectivity in combination, rather than treating them as alternatives. Satellite links can be used to guarantee the transmission of critical signals from remote or vulnerable points in the network, while cellular connectivity can support higher-frequency communication where coverage is sufficient. The result is not simply improved coverage, but a reduction in single points of failure within the data pathway.

Designing for traceability in real conditions

This becomes clearer when considering how such systems operate in real conditions. In a remote reservoir scenario, for example, pump activation may depend on upstream water level measurements. If that upstream signal is dependent on intermittent cellular coverage, there is an inherent risk that the trigger will be delayed or missed altogether. Introducing a satellite link for that measurement changes the reliability of the system in a fundamental way. The trigger can be transmitted as soon as the threshold condition is met, while downstream components can continue to use cellular connectivity to confirm status and provide additional context where available.

What emerges is a sequence of events that can be followed and verified, from measurement through to action and confirmation, with each step time-stamped and independently recorded. That ability to reconstruct what happened, and when, is becoming increasingly important.

A similar approach is increasingly evident in river monitoring, where there has been a gradual move away from monolithic logging systems towards more distributed architectures. In these setups, core parameters such as level, velocity and water quality indicators are captured and logged at the edge, with thresholds configured to identify abnormal conditions. When those thresholds are exceeded, alerts are transmitted immediately, while routine data is retained and made available for reporting. This reduces the need for complex integration between separate logging and communications systems and helps ensure that the resulting dataset is consistent from the outset.

From data collection to data defensibility

What sits behind both examples is a broader shift in emphasis, from data collection to data defensibility. Regulators are not only interested in whether monitoring has taken place, but in whether the resulting record is complete, coherent and traceable. That places greater importance on the integrity of the data pathway, including the preservation of timestamps from capture through to reporting, the ability to account for transmissions, and the visibility of any changes made to system configuration.

Where these elements are in place, the need for manual reconciliation is reduced, and the data can be used with greater confidence both operationally and in formal reporting. It also becomes easier to integrate monitoring data into wider systems. Structured, time-aligned data can move more readily into regulatory submission platforms, GIS environments and asset management systems without the need for extensive reprocessing. This supports a closer alignment between field measurements and institutional records, which is becoming increasingly important as reporting expectations continue to evolve.

Raising the bar for confidence

Monitoring in the water sector is moving into a different phase. It is no longer defined solely by the ability to measure environmental conditions, but by the ability to demonstrate that those measurements are reliable and complete. Satellite connectivity does not replace terrestrial networks, and it is not required in every application, but in remote or infrastructure-poor environments it addresses a point of weakness that is becoming harder to ignore.

As scrutiny increases, the systems that perform best will be those that can not only generate data but defend it when it is questioned.