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GIS and remote sensing research

Analysis of optical, radar and hyperspectral satellite imagery to map changes in land cover, the state of waters, and activity on land and at sea.

We process Sentinel-1, Sentinel-2, Landsat and high-resolution commercial imagery with our own engine: atmospheric correction, cloud masking, sub-pixel co-registration, two-date change detection, and cross-confirmation between optical and radar sensors. The output is maps, time series and per-pixel evidence that can be audited.

Our research is aimed at practical questions: when did a piece of land start being cleared, how large is it, does radar confirm it, and what is happening at sea nearby.

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How we work

From sensor to decision, in four steps anyone can check.

  1. 01

    Acquisition

    Data is taken straight from its source: official satellite catalogues, our own drone flights, AIS receivers and partner coastal radars. Every file is logged with its origin, time and version.

  2. 02

    Processing

    Our engine runs corrections, masking, alignment and detection automatically every day, and keeps the intermediate results so that each step can be repeated and inspected.

  3. 03

    Verification

    Findings are cross-checked: optical against radar, imagery against field data, automatic detection against an analyst's review. What does not pass is not reported as fact.

  4. 04

    Decision

    Results are delivered in forms that can be used at once: alerts with evidence, periodic reports, interactive maps, and APIs for the client's systems. The history is kept and never discarded.

Ready to see your area in a new way?

One conversation is enough to tell whether our data answers your question. No obligation follows.

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