From research and algorithm development to operational solutions

Nexa Geo supports operators, public agencies and researchers with operational Earth observation workflows – from raw satellite data to ready-to-use indicators and digital twins.

Scientific-grade algorithms & multi-mission QA/QC workflows AI-based reference data generation & validation toolchains Ground reference data design & Cal/Val support 3D reconstruction & digital-twin generation from EO data Advanced object extraction from EO data EO for natural hazard assessments

Nexa Geo builds on more than two decades of experience in photogrammetry, remote sensing, and geospatial AI.

We design processing chains that are scientifically robust and operationally reliable – ready to plug into your existing GIS, BIM or risk platforms.

Our expertise includes InSAR, DEM/DSM generation, 3D modelling from satellite imagery, validation of satellite sensors and participation in ESA projects.

We collaborate with infrastructure owners, regulators and research teams to co-design workflows that fit real-world constraints: data availability, budgets, regulations and existing tools. Our goal is decisions that are better informed, earlier and more transparent.

We contribute to ESA Earth Observation Calibration & Validation Ecosystem

Projects we have contributed to

Nexa Geo Image

Earthnet Data Assessment Project (EDAP+)

EDAP+ assesses the quality, suitability and interoperability of candidate missions for possible inclusion as ESA Earthnet Third Party Missions. It supports the Earthnet framework by engaging with institutional and commercial mission providers, reflecting the growing role of New Space. Through early data assessment and multi-mission studies, EDAP+ helps ensure coherent, interoperable, mission-grade EO data across current and future systems.

Team

Nexa Geo brings together expertise in photogrammetry, remote sensing and geospatial AI to develop scientifically robust and operationally reliable Earth observation workflows. Our work focuses on calibration and validation of multi-mission data, integration of AI-driven methods and delivery of engineering-grade outputs that support real-world decision making. We collaborate with institutional partners, industry stakeholders and research teams across Europe, contributing to ESA-related activities and advancing best practices in EO data quality and interoperability.