What can’t AI say about the world around us?

AI and remote sensing are giving us an extraordinary new ability to observe the planet.

Satellites can show where forests have disappeared, landscapes have dried, coastlines have changed, vessels are moving, and human activity is occurring. Sensors can measure environmental conditions continuously. AI can process enormous amounts of imagery and other information and identify changes that would be impossible for people to track manually.

This is incredibly valuable. The opportunity isn't to replace people with these tools. It is to use them together.

Technology can help us observe more, more often, and across much larger areas. But people bring something different. They can notice what a system wasn't looking for. They can investigate something unexpected, understand local context, talk to the people affected, recognize nuance, and respond. They bring lived experience, relationships, empathy, and accountability to situations where those things matter.

They can also be the most practical way to collect information. Some things are too small, too local, too fleeting, or changing too quickly for remote sensing to be the right tool. Sometimes a person on the ground can answer the question immediately, at a fraction of the cost of building a technical system around it.

Think about a salmon in a river. An eel elver on the coast. Squid laying eggs. Sharks mating. A whale giving birth. A bird feeding. A tick on a dog. A needle in a schoolyard. A dead bird. An entangled seal. An unexploded ordnance washed up on a beach.

These are all observations that can matter enormously, but may never appear in the datasets we are increasingly able to collect from space, sensors, or automated systems.

Human observations are not just another source of information. They can ground-truth what our increasingly powerful AI and remote-sensing systems are telling us. They also provide the nuance needed to understand what a change means, why it matters, and what should happen next.

The measurements tell us what changed. People can help us understand what that change meant.

We don't need to choose between the two.

We need both views of the world.

Connect the observations

Imagine bringing all of those observations together.

Photos. Stories. Species observations. Behaviours. Catch. Effort. Field notes. Community knowledge. And the observations collected by people working across different projects and organizations.

Then combine them with the other ways we can observe the world: temperature and other sensors, AIS and vessel data, environmental DNA, BRUVs, acoustic monitoring, remote sensing, existing datasets, and more.

The value isn't simply in having more data. It is in being able to connect the right observations to answer the question you actually need to answer.

A satellite detection could tell a field team where to look. A field observation could confirm what the satellite detected. A temperature sensor could help explain a change in species distribution. Catch data could show what a change in the ecosystem meant for a fishery. Community observations could reveal impacts that wouldn't appear in either dataset.

The right combination depends on the question, the place, the timescale, and the resources available. Sometimes you need extensive monitoring. Sometimes a few well-placed observations are enough. Sometimes the most valuable thing you already have is information sitting in a spreadsheet, report, photo archive, or another team's database.

eOceans connects these observations in one system.

Bring in observations from people, projects, organizations, sensors, remote sensing, and existing datasets. Keep the context around them. Validate and organize the information, analyze it together, map it, and turn it into results and reports that can keep updating as new observations arrive.

That means the observations you are already paying for can become more useful. You can see where information is missing, avoid unnecessary duplication, target fieldwork where it will add the most value, ground-truth automated observations, demonstrate whether management or investment is producing the intended results, and build a stronger evidence base over time.

AI can help us observe more of the world. People help us understand what we observe. eOceans connects the evidence.

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