Turning remote sensing data into information

Remote sensing data for your benefit

Discover our work

At BitsOfData we believe remote sensing data is a valuable source of information for a wide range of applications.

We go further, in stead of being content with a nice picture, we transform the acquired data into valuable information which can support you in infrastructure management, maintenance work and decison making processes.

The goal of BitsOfData is to use remote sensing data in order to create information that can be used to give an intelligent, founded answer to a business question, in other words the transformation of remote sensing data into information.


Rheticus® Displacement is an automatic cloud-based geoinformation service designed to deliver fresh and accurate satellite-based data and information for the monitoring of ground surface movements.

Monitoring is essential to assessing and predicting landslides or ground structural weaknesses, which could affect buildings or infrastructures.

To get accurate information over areas subject to subsidence is fundamental for organizations and professionals working in civil protection, master plan management and insurance.

BitsOfData, in collaboration with Imagem and Planetek Italia, provides access to the Rheticus platform for Belgium.


Project in the picture

An update of the inventory of the Right-of-Way around a pipeline was created for a totla distance of approximately 1600km of pipeline trace.

The inventory of the Right-Of-Way (RoW) is generated as a land cover classification with a specific legend. The classification is based on an object-based classification combining aerial images, a digital elevation model, and supporting topographic information.

The main source of information is the aerial infrared image, where the height information (derived from LiDAR data) is applied to separate high from low vegetation. The classification results in a detailed representation of structures and vegetation in the vicinity of the pipeline.


At BitsOfData, we focus on three different data domains / processing chains.