
Europe’s Green and Digital Transformations with 25 Years of VHR Satellite Archive Data
Planning Europe’s future without knowing its past is impossible. The European Green Deal, Horizon Europe, the EU Biodiversity Strategy for 2030 and other policies all demand one thing: evidence. Not just today’s data, but years of history that show how our cities, forests, and coastlines have changed.

AI Uses 15 cm Satellite Images to Cut Costs and Increase Scalability in Forest Management and Urban Forestry
Forest managers across Europe face an impossible task: monitor millions of hectares with shrinking budgets while meeting increasingly strict EU environmental targets. But with the rise of AI and satellite technology, they now have new solutions at their disposal – smarter, cheaper, and more scalable – to monitor forest health, automate tree inventories, and plan sustainable logging. In this article, we introduce one of these solutions: an AI forestry algorithm developed by Arboair using 15 cm satellite data from EUSI.

Using Satellite Imagery to Build Water Resilience Across Europe
Water across Europe is facing severe pressure. Climate change, urbanisation, agricultural demands and other sources of pollution are threatening water security and creating critical challenges that need to be addressed. We have to act quickly, build stronger systems and create sustainable water resilience practices – so that both natural ecosystems and human communities can thrive. Here is how satellite imagery from EUSI can help.
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Another year delivering 100% success rate to the European Commission’s CwRS Programme for European Space Imaging
Despite the challenges incurred from COVID-19 in 2020, European Space Imaging has once again finalised the collection of Very High Resolution (VHR) satellite imagery for the European Commission as part of their Controls with Remote Sensing (CwRS) programme. Acquiring a total of 361,991 square kilometres, this is the fourth year
Arrival Cities: Classifying Urban Poor Areas with Satellite Imagery
Hannes Taubenböck and his team at DLR are using Very High Resolution (VHR) satellite imagery, supplied by European Space Imaging, combined with auxiliary surveys to develop a base model classification system for the shape and structure of urban poor areas around the world. Slum, favela, tenement…whatever you call it, nearly
Automated Beach Litter Detection Using Satellite Imagery and Machine Learning
The Tama Group demonstrates how they use machine learning to detect trash along beaches from VHR satellite imagery and generate density maps to aid in cleanup efforts. Traditionally it has been a human user who analyzes satellite imagery for changes, but this process is slow and time-consuming. Whether detecting trash
AW3D Enhanced
The ability to analyse the elevation of terrain and surface features in high resolution is a crucial component of most geospatial applications. European Space Imaging has partnered with NTT Data to offer AW3D Enhanced elevation models. By leveraging the world’s highest resolution satellite imagery from the Maxar WorldView Constellation, AW3D
AW3D Standard
European Space Imaging has partnered with NTT Data to offer AW3D Standard – a global elevation model derived from millions of satellite images acquired by the Advanced Land Observing Satellite from JAXA. Featuring high geolocational accuracy without any Ground Control Points (GCP) and resolutions of 2.5 m or 5 m,