Earth Observation & Sensor Validation
Establish whether sensor data and derived products meet your geometric and reference data requirements.
Cal/Val · Reference data · DEM/DSM assessment
Explore sensor validationEarth. Data. Vision.
Advanced Remote Sensing & Geospatial Engineering
We turn satellite, aerial and ground-based data into reliable measurements, 3D models and custom analysis tools.
Based in GermanyRemote sensing. Analysis. Software. Research.
Our solutions
Specialist expertise.
Practical project outputs.
From an independent data assessment to a custom processing workflow, we shape the work around your technical question.
Ground Deformation & Natural Hazards
Investigate ground movement and terrain change for infrastructure, mining and engineering assessments.
InSAR time series · Landslides · Rockfall
Explore deformation analysis3D Mapping & Digital Twins
Build and validate spatial models from imagery and LiDAR for design, comparison and digital twin projects.
Photogrammetry · Point clouds · Data integration
Explore 3D mappingGeospatial AI & Custom R&D
We develop geospatial AI (GeoAI) methods for image analysis, reference data generation and project-specific processing workflows.
Image analysis · Reference data · Custom pipelines
Explore GeoAI & custom R&DSelected work
EO quality, validation
and applied research.
Selected contributions to Earth observation calibration, validation and geospatial AI research.
Mission data assessment
Earthnet Data Assessment Project (EDAP+)
Assessment of candidate Earthnet Third Party Mission data, supporting an understanding of data quality, suitability and interoperability.
EDAP+ optical mission activities
Calibration & validation
ESA Cal/Val Park
A calibration and validation activity supporting assessment of Earth observation data, including data from New Space missions.
Read the ESA project overview
Reference data & methods
CEOS Cal/Val Portal & GCPIX
Shared Cal/Val methods and reference resources. The GCP Intercomparison eXercise (GCPIX) addresses the assessment and harmonisation of ground control point data.
Explore the GCPIX activitySelected R&D
GenCP
Generative AI for geospatial reference data
Research prototypeNexa Geo contributes to GenCP, an ESA-supported research study exploring generative AI for producing synthetic reference image chips from vector maps.
The proof-of-concept work investigates their use in satellite image georeferencing and geometric calibration and validation.
Project names and logos identify the activities described here.
About Nexa Geo
Research depth.
Engineering focus.
Nexa Geo GmbH is a Germany-based company specialising in remote sensing, geospatial engineering, analysis and custom software development.
Our expertise connects photogrammetry, Earth observation data quality, InSAR, 3D modelling and geospatial AI. Calibration and validation are an important part of this work, alongside image analysis and project-specific research.
We work from the question you need to answer: which data are suitable, which methods can support the decision, and how the outputs should fit your existing tools. Scope, reference data, assumptions and limitations are addressed as part of the technical work.
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your project.
Share your project objective, area of interest, expected outputs and any schedule. We can discuss the data, methods and scope your project needs.
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