Hyperspectral analysis of lithologies in the Arctic in areas with abundant lichen cover
Lithological mapping using remote sensing depends, in part, on the identification of rock types by their spectral characteristics. Chemical and physical properties of minerals and rocks determine their diagnostic spectral features throughout the electromagnetic spectrum. Shifts in the position and c...
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ftjgeusbullet:oai:geusjournals.org:article/4341 2023-05-15T14:56:11+02:00 Hyperspectral analysis of lithologies in the Arctic in areas with abundant lichen cover Salehi, Sara 2018-08-15 application/pdf https://geusbulletin.org/index.php/geusb/article/view/4341 https://doi.org/10.34194/geusb.v41.4341 eng eng Geological Survey of Denmark and Greenland (GEUS) https://geusbulletin.org/index.php/geusb/article/view/4341/10086 https://geusbulletin.org/index.php/geusb/article/view/4341 doi:10.34194/geusb.v41.4341 GEUS Bulletin; Vol. 41 (2018): Review of Survey activities 2017; 51-55 2597-2154 2597-2162 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Rapid Communication. Peer-reviewed Article. 2018 ftjgeusbullet https://doi.org/10.34194/geusb.v41.4341 2022-03-15T17:22:06Z Lithological mapping using remote sensing depends, in part, on the identification of rock types by their spectral characteristics. Chemical and physical properties of minerals and rocks determine their diagnostic spectral features throughout the electromagnetic spectrum. Shifts in the position and changes in the shape and depth of these features can be explained by variations in chemical composition of minerals. Detection of such variations is vital for discriminating minerals with similar chemical composition. Compared with multispectral image data, airborne or spaceborne hyperspectral imagery offers higher spectral resolution, which makes it possible to estimate the mineral composition of the rocks under study without direct contact. Arctic environments provide challenging ground for geological mapping and mineral exploration. Inaccessibility commonly complicates ground surveys, and the presence of ice, vegetation and rock-encrusting lichens hinders remote sensing surveys. This study addresses the following objectives: 1. Modelling the impact of lichen on the spectra of the rock substrate; 2. Identification of a robust lichen index for the deconvolution of lichen and rock mixtures and 3. Multiscale hyperspectral analysis of lithologies in areas with abundant lichens. Article in Journal/Newspaper Arctic GEUS Bulletin (Geological Survey of Denmark and Greenland) Arctic Geological Survey of Denmark and Greenland Bulletin 51 55 |
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GEUS Bulletin (Geological Survey of Denmark and Greenland) |
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ftjgeusbullet |
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English |
description |
Lithological mapping using remote sensing depends, in part, on the identification of rock types by their spectral characteristics. Chemical and physical properties of minerals and rocks determine their diagnostic spectral features throughout the electromagnetic spectrum. Shifts in the position and changes in the shape and depth of these features can be explained by variations in chemical composition of minerals. Detection of such variations is vital for discriminating minerals with similar chemical composition. Compared with multispectral image data, airborne or spaceborne hyperspectral imagery offers higher spectral resolution, which makes it possible to estimate the mineral composition of the rocks under study without direct contact. Arctic environments provide challenging ground for geological mapping and mineral exploration. Inaccessibility commonly complicates ground surveys, and the presence of ice, vegetation and rock-encrusting lichens hinders remote sensing surveys. This study addresses the following objectives: 1. Modelling the impact of lichen on the spectra of the rock substrate; 2. Identification of a robust lichen index for the deconvolution of lichen and rock mixtures and 3. Multiscale hyperspectral analysis of lithologies in areas with abundant lichens. |
format |
Article in Journal/Newspaper |
author |
Salehi, Sara |
spellingShingle |
Salehi, Sara Hyperspectral analysis of lithologies in the Arctic in areas with abundant lichen cover |
author_facet |
Salehi, Sara |
author_sort |
Salehi, Sara |
title |
Hyperspectral analysis of lithologies in the Arctic in areas with abundant lichen cover |
title_short |
Hyperspectral analysis of lithologies in the Arctic in areas with abundant lichen cover |
title_full |
Hyperspectral analysis of lithologies in the Arctic in areas with abundant lichen cover |
title_fullStr |
Hyperspectral analysis of lithologies in the Arctic in areas with abundant lichen cover |
title_full_unstemmed |
Hyperspectral analysis of lithologies in the Arctic in areas with abundant lichen cover |
title_sort |
hyperspectral analysis of lithologies in the arctic in areas with abundant lichen cover |
publisher |
Geological Survey of Denmark and Greenland (GEUS) |
publishDate |
2018 |
url |
https://geusbulletin.org/index.php/geusb/article/view/4341 https://doi.org/10.34194/geusb.v41.4341 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
GEUS Bulletin; Vol. 41 (2018): Review of Survey activities 2017; 51-55 2597-2154 2597-2162 |
op_relation |
https://geusbulletin.org/index.php/geusb/article/view/4341/10086 https://geusbulletin.org/index.php/geusb/article/view/4341 doi:10.34194/geusb.v41.4341 |
op_doi |
https://doi.org/10.34194/geusb.v41.4341 |
container_title |
Geological Survey of Denmark and Greenland Bulletin |
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51 |
op_container_end_page |
55 |
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1766328214990356480 |