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.
There is a critical need for rapid, rigorous, reproducible and scalable forest inventory tools to support data-driven policies and management practices in response to challenges including deforestatio...
As part of a Catalan government project to improve the management of its marine environment, ICGC cooperated with Field to use airborne Lidar bathymetry (ALB) to survey the Catalan coastal zone. The r...
Thanks to rapid improvements in aerial laser scanning systems, they offer great potential in road surveying compared with traditional photogrammetry-based methods. Using the high-density 3D point clou...
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...
Offering laser scanning services is rarely as glamorous as corporate brochures imply. It can be tricky to fund equipment costs, manage client demands and develop a successful pricing policy. To stand ...
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...
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...
More than 70 members of the aerial mapping industry attended the fourth EAASI Partners Summit from 30 November to 2 December 2022 at Hotel Vila Pamphili in Rome. Over the course of three days, they pa...
‘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...
Read how SLAM technology was used to scan a former mine complex in Poland to ensure safety during a project to preserve the site's historical, educational and functional significance. Underground cul...
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...
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...
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...
When it comes to monitoring the condition of roads, UAV technology can overcome many of the downsides associated with traditional methods, which can be time-consuming, labour-intensive and sometimes s...
The monitoring of submerged deadwood and vegetation is gaining increased attention due to their socio-economic and ecological importance. Deadwood acts as an important underwater habitat but also pose...
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