Remote sensing is all about gathering information on the earth using techniques that are ‘at a distance’ rather than touching the earth. Generally speaking remote sensing produces either point cloud data or imagery. The data is further processed using [geographical information systems] as part of [cartography].

Often Remote Sensing is differentiated by the type of platform or sensor used. Platforms can range from satellites through aircraft and drones to cars and ships. From a sensor perspective, Remote Sensing is a broad field that encompasses techniques such as [photogrammetry] and [lidar] but also [echosounding]. Often a form of ground truthing is required to transform the Remotely Sensed data into comprehensible products.

Uncovering the competitive advantages of aerial surveying

Uncovering the competitive advantages of aerial surveying

What are the primary technical differences between crewed and uncrewed aerial vehicles and satellites when it comes to capturing images of Earth? Where do they overlap, and where do they diverge? By c...

AI-powered climate resilience

AI-powered climate resilience

The use of AI in monitoring and modelling climate conditions is bringing about a revolution, especially in the field of geospatial data collection and mapping. With the help of AI-powered digitization...

Use of AI to detect rooftop solar potential

Use of AI to detect rooftop solar potential

Global climate change and, in some areas, the lack of a cheap and reliable energy supply are contributing to the expansion of photovoltaics, both regionally and worldwide. In addition to ground-mounte...

UAV Remote Sensing for Smart Agriculture

UAV Remote Sensing for Smart Agriculture

‘Smart agriculture’, i.e. the efficient use of Earth's resources to feed the world, requires accurate and advanced data acquisition, modelling and management. UAVs can play a critical role in this...

Lidar deep learning for ancient Maya archaeology

Lidar deep learning for ancient Maya archaeology

While it is possible to capture ancient Maya sites hidden beneath jungle canopy in remote locations using airborne Lidar, identifying them is still a time-consuming process. Typically, 3D point clouds...

Reconstructing 3D buildings using deep learning

Reconstructing 3D buildings using deep learning

How can artificial intelligence and deep learning lead to a robust process for 3D city modelling? And what are some of the challenges? Automated classification and object detection in Lidar and imager...

Representing 3D point cloud data

Representing 3D point cloud data

Read this guide to the main 3D data representation methods to understand the key differences and choose the best method for your specific applications. The 3D data jungle in today’s computerized eco...