VITO: MAPEO, Remote Sensing Data to Create Your Digital Twin


Data driven resource and asset management, and situational awareness applications force governmental organizations and companies to arrange their own remote sensing capacity. This enables them to generate the necessary core data at the right time, the right spatial resolution and with the most suitable sensor for the applications at hand.

In building this capacity, organizations need a modular platform which allows them to streamline data acquisition campaigns, image processing and online hosting of both the raw data and derived information products. Discover more about MAPEO, a platform tailored to the operational scenarios of the customer to guarantee that the complexity of their use-cases is addressed adequately.

  • A story by Jan Biesemans


Meeting with policy officers responsible for operational resource management in various domains, I often hear the same feedback, similar struggles and corresponding requests. Where they used to work with advice, reports and estimations, they now want to base their decisions on data and facts. And the requests can be diverse. From drone-based corridor mapping to enforce environmental policies over establishing a continuously updated spatial database of doorbell counts via mobile mapping to monitor migration patterns in a city.

A decade ago, the city council made decisions based on expert reports, sampling and impressions. Nowadays, everything is required to be data and fact based, we need to provide the numbers behind the reports and impressions”.

Reynvoet Hilde, Director of Housing at the City of Ghent

Local management of resources (land, water, infrastructure, materials, and energy) and situations (change, security, mobility, social patterns) is expected to be data driven, since we now have the technological capacity to continuously monitor, measure and handle massive amounts of data. This is currently being framed as “digital twin” technology. It is a natural consequence of the emergence of cloud computing, web services, sensor networks and social networks from around 2005 onwards. We clearly entered an era of digital transformation where remote sensing as intelligence source has become more relevant than ever before!

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Author: EARSC

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