Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data
The advent of large digital datasets from unmanned aerial vehicle (UAV) and satellite platforms now challenges our ability to extract information across multiple scales in a timely manner, often meaning that the full value of the data is not realised. Here we adapt a least-cost-path solver and speci...
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ftcopernicus:oai:publications.copernicus.org:se60748 2023-05-15T17:34:32+02:00 Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data Thiele, Samuel T. Grose, Lachlan Samsu, Anindita Micklethwaite, Steven Vollgger, Stefan A. Cruden, Alexander R. 2018-09-27 application/pdf https://doi.org/10.5194/se-8-1241-2017 https://se.copernicus.org/articles/8/1241/2017/ eng eng doi:10.5194/se-8-1241-2017 https://se.copernicus.org/articles/8/1241/2017/ eISSN: 1869-9529 Text 2018 ftcopernicus https://doi.org/10.5194/se-8-1241-2017 2020-07-20T16:23:29Z The advent of large digital datasets from unmanned aerial vehicle (UAV) and satellite platforms now challenges our ability to extract information across multiple scales in a timely manner, often meaning that the full value of the data is not realised. Here we adapt a least-cost-path solver and specially tailored cost functions to rapidly interpolate structural features between manually defined control points in point cloud and raster datasets. We implement the method in the geographic information system QGIS and the point cloud and mesh processing software CloudCompare. Using these implementations, the method can be applied to a variety of three-dimensional (3-D) and two-dimensional (2-D) datasets, including high-resolution aerial imagery, digital outcrop models, digital elevation models (DEMs) and geophysical grids. We demonstrate the algorithm with four diverse applications in which we extract (1) joint and contact patterns in high-resolution orthophotographs, (2) fracture patterns in a dense 3-D point cloud, (3) earthquake surface ruptures of the Greendale Fault associated with the M w 7.1 Darfield earthquake (New Zealand) from high-resolution light detection and ranging (lidar) data, and (4) oceanic fracture zones from bathymetric data of the North Atlantic. The approach improves the consistency of the interpretation process while retaining expert guidance and achieves significant improvements (35–65 %) in digitisation time compared to traditional methods. Furthermore, it opens up new possibilities for data synthesis and can quantify the agreement between datasets and an interpretation. Text North Atlantic Copernicus Publications: E-Journals New Zealand Solid Earth 8 6 1241 1253 |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
The advent of large digital datasets from unmanned aerial vehicle (UAV) and satellite platforms now challenges our ability to extract information across multiple scales in a timely manner, often meaning that the full value of the data is not realised. Here we adapt a least-cost-path solver and specially tailored cost functions to rapidly interpolate structural features between manually defined control points in point cloud and raster datasets. We implement the method in the geographic information system QGIS and the point cloud and mesh processing software CloudCompare. Using these implementations, the method can be applied to a variety of three-dimensional (3-D) and two-dimensional (2-D) datasets, including high-resolution aerial imagery, digital outcrop models, digital elevation models (DEMs) and geophysical grids. We demonstrate the algorithm with four diverse applications in which we extract (1) joint and contact patterns in high-resolution orthophotographs, (2) fracture patterns in a dense 3-D point cloud, (3) earthquake surface ruptures of the Greendale Fault associated with the M w 7.1 Darfield earthquake (New Zealand) from high-resolution light detection and ranging (lidar) data, and (4) oceanic fracture zones from bathymetric data of the North Atlantic. The approach improves the consistency of the interpretation process while retaining expert guidance and achieves significant improvements (35–65 %) in digitisation time compared to traditional methods. Furthermore, it opens up new possibilities for data synthesis and can quantify the agreement between datasets and an interpretation. |
format |
Text |
author |
Thiele, Samuel T. Grose, Lachlan Samsu, Anindita Micklethwaite, Steven Vollgger, Stefan A. Cruden, Alexander R. |
spellingShingle |
Thiele, Samuel T. Grose, Lachlan Samsu, Anindita Micklethwaite, Steven Vollgger, Stefan A. Cruden, Alexander R. Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data |
author_facet |
Thiele, Samuel T. Grose, Lachlan Samsu, Anindita Micklethwaite, Steven Vollgger, Stefan A. Cruden, Alexander R. |
author_sort |
Thiele, Samuel T. |
title |
Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data |
title_short |
Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data |
title_full |
Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data |
title_fullStr |
Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data |
title_full_unstemmed |
Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data |
title_sort |
rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data |
publishDate |
2018 |
url |
https://doi.org/10.5194/se-8-1241-2017 https://se.copernicus.org/articles/8/1241/2017/ |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
eISSN: 1869-9529 |
op_relation |
doi:10.5194/se-8-1241-2017 https://se.copernicus.org/articles/8/1241/2017/ |
op_doi |
https://doi.org/10.5194/se-8-1241-2017 |
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Solid Earth |
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