Using LOOP 3D modelling to unlock the knowledge held in BGS maps

Kearsey, Tim. 2022 Using LOOP 3D modelling to unlock the knowledge held in BGS maps. [Lecture] In: Geological Society of America Annual Meeting 2022, Denver, USA, 9-12 Oct 2022. (Unpublished)

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Geological 2D bedrock maps are ideally supposed to be the intersection of a 3D geological conceptual model with topography. However, often when you try to build 3D models from geological maps you find that this is not always the case. Sometimes geometries that might seemingly work on a 2D map face, do not actually project into 3D in the way the geologist imagined. This is especially true for older maps which may have been constructed before modern geological understandings like plate tectonics or sequence stratigraphy. Most geological maps are reviewed by other geologists who may have their own differing backgrounds and biases and therefore is no automatic way of assessing the geometrical accuracy of a map. The British Geological Survey (BGS) produces geological mapping at a range of scales. Our highest resolution national mapping is our 1:50,000 digital map dataset. This was compiled from BGS’s New Series 1:50 000 and 1:63 360-scale (one-inch to one-mile) paper maps with updated nomenclature, including a few 1:100 000-scale maps of Orkney and the Hebrides. As such it still uses a few maps that were surveyed before 1918 (Figure 1). Up until recently we did not have a way of assessing the geometrical accuracy of a map and determining if they need resurveying. The development of open-source implicit modelling platforms, specifically designed to work with geological map data by the LOOP project, means there is now a tool that we can use to understand the 3D geometrical accuracy of the geological map. Here in we discuss the results of the trials where we have used Map2Loop and Loop Structural to help us understand and improve our geological mapping.

Item Type: Publication - Conference Item (Lecture)
Programmes: BGS Programmes > National Geoscience Framework
NORA Subject Terms: Earth Sciences
Data and Information
Date made live: 09 Nov 2023 16:21 +0 (UTC)

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