Defence and Space

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Defence and Space

Application campus Bingladesh chittagong from Pléiades Neo

Pléiades Neo Applications Campus

Through Pléiades Neo Applications Campus, CNES and Airbus support third parties in their development of innovation projects based on Pléiades Neo data, to facilitate their set-up of cutting-edge geospatial services using Pléiades Neo

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The application campus

In 2024 and 2025, the CNES and Airbus have launched four calls for projects. Each call has invited proposals for space innovation projects using Pléiades Neo data, evaluated by a CNES – Airbus committee. The following selection criteria were assessed:

  • Commercial potential of the proposed application
  • Innovative nature of the proposed solution
  • Relevance of Pléiades Neo data for the proposed application
  • Involvement of the future service operator and end users

The Applications Campus offers a unique opportunity to de-risk your innovation projects and refine your business model, with access to Pléiades Neo data.

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Emmanuel FLORY

Responsible for solutions and future services, Airbus

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Pléiades Neo applications campus rules

Project support

Project already selected

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Project support

Selected projects receive a Pléiades Neo dataset, open-source tools and comprehensive human, technical and business support. The support phase includes guidance for the marketing of the service at the end of the innovation project.

Campus innovative solutions

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Disaitek

Detection and characterization of illegal dumping using Artificial Intelligence applied to Pléiades Neo images 

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Siradel

Creation of urban land use maps for resilience to global warming, from Pléiades Neo and Pléiades Neo HD15.

On-going selected projects

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Hydro Matters

Hydro-compatible DTM for assessing flood risk in poorly instrumented and high-stakes areas - the case of Burkina Faso

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Mitsio Motu

Assessment of assets with Pléiades Neo, such as the degradation status of roads and the no-deforestation eligibility of soybean fields in Togo.

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Murmuration

Augmented road intelligence:  With Pléiades Neo, define road conditions and identify potential safety risks or intervention needs on these infrastructures. 

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RhinoTerrain

Calculation of the solar potential of building roofs from Pléiades Neo data in a 3D Model, to facilitate the installation and performance of photovoltaic panels even in small municipalities.

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Rubicon exploration

Detection of natural hydrogen leaks on the Earth's surface for resource exploration, particularly outside of Europe, based on AI on Pléiades Neo.

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Goodforest

Precision forestry, combining AI and multi-source remote sensing including Pléiades Neo, for:

  • detection of dieback and tree felling
  • continuous monitoring, a near real- time and large-scale alert system.
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DGALN/AIGLE

Detection of misuse of natural plots with automatic AI detection of objects upon Pléiades Neo images: caravan, mobile home, cabins, swimming pools, boat wrecks.
 

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Netcarbon

Building carbon stock indicators from Pléiades Neo-derived land use maps aimed at financially valuing each ton of carbon stored in re-vegetation projects in urban areas, airports or areas with high levels of infrastructure.

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La TeleScop

Mapping the spatial distribution of invasive alien plant species with Pléiades Neo. Supporting field actions and temporal monitoring. Estimating the density of these populations

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OpenForêt

Early identification of tree decline with Pléiades Neo. Assessing tree responses to climate change: species, stands, and silvicultural practices. Identifying trees at risk near infrastructure such as power lines.

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