Remote sensing 5: From Data to Dashboard in Capelle aan den IJssel
x
You might also be interested in
Remote Sensing
Remote sensing 5: From Data to Dashboard in Capelle aan den IJssel
Before we can visualize anything in a digital twin, we first need to understand what we’re actually looking at. Without that foundation, visualizations are nothing more than pretty pictures. In part four of the series, Harald takes a step back to the beginning: observation itself. Not just via satellites or drones, but also with our own eyes. Remote sensing with observation—knowing who is looking, why, and with what instrument. Only then can you combine data into information that is accurate, meaningful, and usable.
Digital Twin
Remote Sensing
From drone data to actionable 3D insights
Fast and reliable information makes all the difference when it counts. Yet in practice, drone data often remains scattered across individual images, separate software steps, and fragmented workflows. IMAGEM and Skyline are changing that. Through an equal partnership, we combine data collection, 3D processing, centralized data management, and visualization into a single integrated workflow.
Digital Twin
A digital twin for all
Policy-making is a complex process due to fragmented data and time-consuming procedures. Digital twins a solution, but require specialized knowledge and technical expertise. IMAGEM technology, expertise, and a practical approach, making digital twins accessible and immediately usable for municipalities.
Digital Twin
From Games to the Globe: How 3D Engines Are Conquering the World
3D technology is now being used for real-world applications: from smart cities to air traffic control. But how can an engine that was once designed to bring virtual worlds to life suddenly become crucial for large-scale geospatial projects? In this article, we explore the striking differences between geo-engines and game engines. Because when it comes to accuracy, scale, and reliability, a geo-engine like Luciad turns out to operate Luciad a completely different league.
Remote Sensing
Remote sensing 4: First Observe, Then Visualize in Ezinge
Before we can visualize anything in a digital twin, we first need to understand what we’re actually looking at. Without that foundation, visualizations are nothing more than pretty pictures. In part four of the series, Harald takes a step back to the beginning: observation itself. Not just via satellites or drones, but also with our own eyes. Remote sensing with observation—knowing who is looking, why, and with what instrument. Only then can you combine data into information that is accurate, meaningful, and usable.