Turn satellite observations into useful business evidence

Understand how imagery, AI detections and supporting records contribute to a business decision—and how to review their limits.

Turn satellite observations into useful business evidence

A useful property finding should be easy to explain. Your team should be able to identify the site, inspect the evidence, understand the interpretation and decide what to check next.

That requires a clear chain from image to decision. AI detection can identify relevant physical features and changes. Supporting records add context. A reviewer decides what the combined information justifies and where uncertainty remains.

Start with the source image

Keep the image source and capture date with the finding. Check whether the relevant part of the site is visible and whether the level of detail supports the feature being described. The date a report was generated is not the date the image was captured.

Visibility can vary across a scene. Planet's documentation notes that a scene-level cloud filter may still leave individual frames with too much cloud. Inspect the actual area of interest before treating a result as usable.

Treat a detection as something to inspect

A detection identifies a possible feature in the image. Review its boundary and label against the underlying picture. Check whether it includes adjacent land, misses part of the feature or groups several things together.

For an illustrative example, a shape identified beside a building might appear relevant to an outdoor service. Before adding the property to a shortlist, a reviewer needs to establish what the shape represents and whether it belongs to the intended site. A visible outline alone does not settle either question.

Keep observations separate from interpretation

Write the observation first: an area appears cleared, a structure appears in a later image, or the visible layout differs between dates. Then record possible explanations and the information needed to distinguish them.

Avoid jumping from a physical feature to a business conclusion. An apparently quiet lot does not establish that the occupier is struggling. A visible roof does not establish its remaining life. Those conclusions require different evidence.

Add records with their own dates and limits

Property, business and other relevant records can help explain a finding. They also have their own coverage, update schedules and definitions. Keep those details alongside the information used.

When sources disagree, retain the disagreement. A company website and a property record may refer to different organisations for legitimate reasons. The useful next step is to identify the relationship, not quietly choose whichever source supports the preferred conclusion.

Record what the decision depends on

A practical evidence note contains:

This gives another person a way to check the reasoning. It also makes the record easier to update when a clearer image or better source becomes available.

Connect the evidence to a useful next step

At GeoSpectre, we combine AI detection in satellite imagery with relevant information to help businesses discover opportunities and assess where to act. Good evidence makes that transition understandable.

A finding might justify further research, a conversation or a targeted visit. Record that decision at the level the evidence supports. A stronger conclusion can follow when the remaining questions have been answered.

Explore how GeoSpectre supports the research process, or discuss a business question in a demo.

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Key takeaways