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MEGA · Data & cosmos

From space, a better perspective on the place where we live.

We explore orbits, process Copernicus observations and build tools to understand the territory. FlowMind, Orbital Nexus and Relieva look at the same world from different angles.

NOTEDATALAYER ON THE MAP
Schematic · not to orbital scale
  1. 01

    The satellite observes

    The sensor records a certain type of signal, over an area and at a known time.

  2. 02

    Data becomes accessible

    The products are distributed through Copernicus Data Space Ecosystem.

  3. 03

    FlowMind puts them in context

    We choose the area and period, process the layer and compare it with other sources.

  4. 04

    The team interprets

    The visualisation supports the analysis. An important conclusion requires verification and context from the field.

Copernicus · the European Earth observation programme

Different sensors. Different questions.

We have integrations that access and process Copernicus data. Choose a mission to see what it observes and how we use the information in FlowMind.

Sentinel-2·Optic multispectral

More than a photograph.

The optical sensor observes light reflected from the surface in several spectral bands. In FlowMind we combine them for natural colour images, vegetation indices and water exploration.

The bands have different resolutions: 10, 20 or 60 m. Clouds and shadows can hide the ground. We choose suitable observations and periods.

About the mission · Copernicus
Sentinel-2·1/3Natural colours· schematic view
Educational illustration. The real layers carry a source and a date.

We use data from the European Copernicus programme; the satellites are operated within it. Observations are not a continuous video stream and do not provide the same resolution for each layer. The animations on this page explain the mechanism, without representing real measurements.

Sentinel-2 natural colour observation for the Dănceni area: agricultural plots and bodies of water
Contains modified Copernicus Sentinel data (2026), processed through FlowMind. Requested interval: 15–31 August 2026.

A real observation

The Dănceni area, seen by Sentinel-2.

This is a processed image from Copernicus data. You can distinguish agricultural plots and water, but a single image does not explain why an area changed.

For analysis, we select comparable periods, check cloud cover and combine the image with the appropriate indicators. The displayed interval is the period requested from the source, not a claim that all elements come from the same day.

Understand the FlowMind flow

Three connected directions

From orbit to street.

Orbital Nexus · exploration

Where satellites pass.

An application for exploring orbits and passes across the sky. Positions are calculated from public orbital elements. You can understand trajectories and perspectives without confusing them with direct telemetry.

Open the explorer

FlowMind · analysis

What sensors observe.

Optical, radar, thermal and atmospheric layers. We select the data according to the question, keep the source and explain the limits. A map becomes an analysis tool when we know what it represents.

Discover FlowMind

Relieva · research

What the place looks like, in 3D.

Relief models and city representations. We research how field observations and satellite clues can help update an urban model.

See the Relieva direction

Three projects that look up

From orbit, to gravity, to the slope of a street.

Orbital Nexus calculates where objects in orbit are right now and shows them from where you stand. Humanoid Sim runs the same fall on Earth, on the Moon, and on Mars — the rest is physics, and the trajectory fingerprint is checked between runs. Relieva takes a public elevation model and pulls out of it the slope a delivery actually climbs. Three different objects, the same habit: a public measurement about somewhere else, made to answer a question from here.

Information around a map also matters.

Cronberry explores sources and textual context. The bridge with FlowMind follows the link between a topic, a place and the information relevant to the team.

What would you like to understand about a territory?

We start from your question and check whether the available data has the required resolution, coverage and frequency.

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