Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland
Hyperspectral imaging is a most promising innovative technology for non-invasive material mapping and is starting to be adapted in a wide range of applications, including geosciences, ag-riculture, and food quality control. Novel processing workflows have revolutionized the way we can correct, inter...
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Online Access: | https://rodare.hzdr.de/record/1643 https://doi.org/10.14278/rodare.1643 |
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fthzdrdresdenrod:oai:rodare.hzdr.de:1643 2024-09-15T18:09:14+00:00 Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland Lorenz, Sandra Thiele, Samuel Thomas Kirsch, Moritz Unger, Gabriel Zimmermann, Robert Guarnieri, Pierpaolo Baker, Nigel Vest Sørensen, Erik Rosa, Diogo Gloaguen, Richard 2022-05-24 https://rodare.hzdr.de/record/1643 https://doi.org/10.14278/rodare.1643 eng eng url:https://www.hzdr.de/publications/Publ-34711 url:https://www.hzdr.de/publications/Publ-34996 doi:10.14278/rodare.1642 url:https://rodare.hzdr.de/communities/rodare https://rodare.hzdr.de/record/1643 doi:10.14278/rodare.1643 oai:rodare.hzdr.de:1643 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode open-source dataset hyperspectral data spectral imaging 3D hyperclouds photogrammetry mineral mapping Black Angel Maarmorilik minimum wavelength mapping interactive workflow info:eu-repo/semantics/other dataset 2022 fthzdrdresdenrod https://doi.org/10.14278/rodare.164310.14278/rodare.1642 2024-08-06T03:00:21Z Hyperspectral imaging is a most promising innovative technology for non-invasive material mapping and is starting to be adapted in a wide range of applications, including geosciences, ag-riculture, and food quality control. Novel processing workflows have revolutionized the way we can correct, interpret, and integrate hyperspectral data in the past decade. The reprojection of planar hyperspectral scans to real 3D point cloud representations (“hyperclouds”) has opened up new possibilities for the mapping of large and topographically complex targets. So far, only a few tools have been developed to process and visualize this kind of data. In this contribution we pre-sent an open-source hypercloud dataset capturing complex but spectacularly well exposed geolo-gy from the Black Angel Mountain in Maarmorilik, West Greenland, alongside a detailed and interactive tutorial documenting the workflow that was used to create it. Dataset Greenland Rodare - Rossendorf Data Repository |
institution |
Open Polar |
collection |
Rodare - Rossendorf Data Repository |
op_collection_id |
fthzdrdresdenrod |
language |
English |
topic |
open-source dataset hyperspectral data spectral imaging 3D hyperclouds photogrammetry mineral mapping Black Angel Maarmorilik minimum wavelength mapping interactive workflow |
spellingShingle |
open-source dataset hyperspectral data spectral imaging 3D hyperclouds photogrammetry mineral mapping Black Angel Maarmorilik minimum wavelength mapping interactive workflow Lorenz, Sandra Thiele, Samuel Thomas Kirsch, Moritz Unger, Gabriel Zimmermann, Robert Guarnieri, Pierpaolo Baker, Nigel Vest Sørensen, Erik Rosa, Diogo Gloaguen, Richard Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland |
topic_facet |
open-source dataset hyperspectral data spectral imaging 3D hyperclouds photogrammetry mineral mapping Black Angel Maarmorilik minimum wavelength mapping interactive workflow |
description |
Hyperspectral imaging is a most promising innovative technology for non-invasive material mapping and is starting to be adapted in a wide range of applications, including geosciences, ag-riculture, and food quality control. Novel processing workflows have revolutionized the way we can correct, interpret, and integrate hyperspectral data in the past decade. The reprojection of planar hyperspectral scans to real 3D point cloud representations (“hyperclouds”) has opened up new possibilities for the mapping of large and topographically complex targets. So far, only a few tools have been developed to process and visualize this kind of data. In this contribution we pre-sent an open-source hypercloud dataset capturing complex but spectacularly well exposed geolo-gy from the Black Angel Mountain in Maarmorilik, West Greenland, alongside a detailed and interactive tutorial documenting the workflow that was used to create it. |
format |
Dataset |
author |
Lorenz, Sandra Thiele, Samuel Thomas Kirsch, Moritz Unger, Gabriel Zimmermann, Robert Guarnieri, Pierpaolo Baker, Nigel Vest Sørensen, Erik Rosa, Diogo Gloaguen, Richard |
author_facet |
Lorenz, Sandra Thiele, Samuel Thomas Kirsch, Moritz Unger, Gabriel Zimmermann, Robert Guarnieri, Pierpaolo Baker, Nigel Vest Sørensen, Erik Rosa, Diogo Gloaguen, Richard |
author_sort |
Lorenz, Sandra |
title |
Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland |
title_short |
Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland |
title_full |
Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland |
title_fullStr |
Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland |
title_full_unstemmed |
Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland |
title_sort |
three-dimensional, km-scale hyperspectral data of a well-exposed zn-pb mineral exploration target at black angel mountain, greenland |
publishDate |
2022 |
url |
https://rodare.hzdr.de/record/1643 https://doi.org/10.14278/rodare.1643 |
genre |
Greenland |
genre_facet |
Greenland |
op_relation |
url:https://www.hzdr.de/publications/Publ-34711 url:https://www.hzdr.de/publications/Publ-34996 doi:10.14278/rodare.1642 url:https://rodare.hzdr.de/communities/rodare https://rodare.hzdr.de/record/1643 doi:10.14278/rodare.1643 oai:rodare.hzdr.de:1643 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.14278/rodare.164310.14278/rodare.1642 |
_version_ |
1810446669363281920 |