The application of terrestrial LiDAR for geohazard mapping, monitoring and modelling in the British Geological Survey

Jones, Lee; Hobbs, Peter. 2021 The application of terrestrial LiDAR for geohazard mapping, monitoring and modelling in the British Geological Survey. Remote Sensing, 13 (3), 395. https://doi.org/10.3390/rs13030395

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Official URL: http://dx.doi.org/10.3390/rs13030395

Abstract/Summary

Geomatics is the discipline of electronically gathering, storing, processing, and delivering spatially related digital information; it continues to be one of the fastest expanding global markets, driven by technology. The British Geological Survey (BGS) geomatics capabilities have been utilized in a variety of scientific studies such as the monitoring of actively growing volcanic lava domes and rapidly retreating glaciers; coastal erosion and platform evolution; inland and coastal landslide modelling; mapping of geological structures and fault boundaries; rock stability and subsidence feature analysis, and geo-conservation. In 2000, the BGS became the first organization outside the mining industry to use Terrestrial LiDAR Scanning (TLS) as a tool for measuring change; paired with a Global Navigation Satellite System (GNSS), BGS were able to measure, monitor, and model geomorphological features of landslides in the United Kingdom (UK) digitally. Many technologies are used by the BGS to monitor the earth, employed on satellites, airplanes, drones, and ground-based equipment, in both research and commercial settings to carry out mapping, monitoring, and modelling of earth surfaces and processes. Outside BGS, these technologies are used for close-range, high-accuracy applications such as bridge and dam monitoring, crime and accident scene analysis, forest canopy and biomass measurements and military applications.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.3390/rs13030395
ISSN:	2072-4292
Date made live:	03 Mar 2021 14:53 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/529817

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.3390/rs13030395

ISSN:

2072-4292

Date made live:

03 Mar 2021 14:53 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/529817