Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the Niaqornarssuit complex in South West Greenland

This study investigates the usage of HyMAP airborne hyperspectral and Sentinel-2, ASTER and Landsat-8 OLI spaceborne multispectral data for detailed mapping of mineral resources in the Arctic. The EnMAP Geological Mapper (EnGeoMAP) and Iterative Spectral Mixture Analysis (ISMA) approaches are tested...

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Published in:European Journal of Remote Sensing
Main Authors: Sara Salehi, Christian Mielke, Christian Rogass
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis Group 2020
Subjects:
Online Access:https://doi.org/10.1080/22797254.2020.1760733
https://doaj.org/article/682dbef88c9744f4a8aadc03783004b2
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spelling ftdoajarticles:oai:doaj.org/article:682dbef88c9744f4a8aadc03783004b2 2023-05-15T14:50:26+02:00 Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the Niaqornarssuit complex in South West Greenland Sara Salehi Christian Mielke Christian Rogass 2020-01-01T00:00:00Z https://doi.org/10.1080/22797254.2020.1760733 https://doaj.org/article/682dbef88c9744f4a8aadc03783004b2 EN eng Taylor & Francis Group http://dx.doi.org/10.1080/22797254.2020.1760733 https://doaj.org/toc/2279-7254 2279-7254 doi:10.1080/22797254.2020.1760733 https://doaj.org/article/682dbef88c9744f4a8aadc03783004b2 European Journal of Remote Sensing, Vol 53, Iss 1, Pp 156-175 (2020) spectroscopy mineral mapping lichen unmixing ultramafic arctic non-invasive Oceanography GC1-1581 Geology QE1-996.5 article 2020 ftdoajarticles https://doi.org/10.1080/22797254.2020.1760733 2022-12-31T07:28:19Z This study investigates the usage of HyMAP airborne hyperspectral and Sentinel-2, ASTER and Landsat-8 OLI spaceborne multispectral data for detailed mapping of mineral resources in the Arctic. The EnMAP Geological Mapper (EnGeoMAP) and Iterative Spectral Mixture Analysis (ISMA) approaches are tested for mapping of mafic-ultramafic rocks in areas covered by abundant lichen. Using the Structural Similarity Index Measure (SSIM), the output classification results from airborne data are quantitatively compared to the available geological map and to the HyMAP reference data in case of using spaceborne dataset. Results demonstrate the capability of both airborne and spaceborne data to provide large-scale reconnaissance mapping of geologic materials over vast arctic regions where field access is limited. The distributions of three ultramafic units (dunite, peridotite, pyroxenite) and one mafic unit (gabbro) are mapped based on analyzing specific visible and near-infrared and short-wave-infrared spectral features. The extent of peridotite and dunite units mapped using both approaches is consistent with geological map, whereas pyroxenite abundance maps show different patterns in their distribution as compared to the geological map. The results suggest that EnGeoMAP method has a better performance than ISMA method for mapping the dunite unit, whilst ISMA performs better for mapping peridotite and pyroxenite rocks. Article in Journal/Newspaper Arctic Greenland Directory of Open Access Journals: DOAJ Articles Arctic Greenland Niaqornarssuit ENVELOPE(-52.000,-52.000,66.817,66.817) European Journal of Remote Sensing 53 1 156 175
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic spectroscopy
mineral mapping
lichen
unmixing
ultramafic
arctic
non-invasive
Oceanography
GC1-1581
Geology
QE1-996.5
spellingShingle spectroscopy
mineral mapping
lichen
unmixing
ultramafic
arctic
non-invasive
Oceanography
GC1-1581
Geology
QE1-996.5
Sara Salehi
Christian Mielke
Christian Rogass
Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the Niaqornarssuit complex in South West Greenland
topic_facet spectroscopy
mineral mapping
lichen
unmixing
ultramafic
arctic
non-invasive
Oceanography
GC1-1581
Geology
QE1-996.5
description This study investigates the usage of HyMAP airborne hyperspectral and Sentinel-2, ASTER and Landsat-8 OLI spaceborne multispectral data for detailed mapping of mineral resources in the Arctic. The EnMAP Geological Mapper (EnGeoMAP) and Iterative Spectral Mixture Analysis (ISMA) approaches are tested for mapping of mafic-ultramafic rocks in areas covered by abundant lichen. Using the Structural Similarity Index Measure (SSIM), the output classification results from airborne data are quantitatively compared to the available geological map and to the HyMAP reference data in case of using spaceborne dataset. Results demonstrate the capability of both airborne and spaceborne data to provide large-scale reconnaissance mapping of geologic materials over vast arctic regions where field access is limited. The distributions of three ultramafic units (dunite, peridotite, pyroxenite) and one mafic unit (gabbro) are mapped based on analyzing specific visible and near-infrared and short-wave-infrared spectral features. The extent of peridotite and dunite units mapped using both approaches is consistent with geological map, whereas pyroxenite abundance maps show different patterns in their distribution as compared to the geological map. The results suggest that EnGeoMAP method has a better performance than ISMA method for mapping the dunite unit, whilst ISMA performs better for mapping peridotite and pyroxenite rocks.
format Article in Journal/Newspaper
author Sara Salehi
Christian Mielke
Christian Rogass
author_facet Sara Salehi
Christian Mielke
Christian Rogass
author_sort Sara Salehi
title Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the Niaqornarssuit complex in South West Greenland
title_short Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the Niaqornarssuit complex in South West Greenland
title_full Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the Niaqornarssuit complex in South West Greenland
title_fullStr Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the Niaqornarssuit complex in South West Greenland
title_full_unstemmed Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the Niaqornarssuit complex in South West Greenland
title_sort mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in arctic regions with abundant lichen cover, a case study from the niaqornarssuit complex in south west greenland
publisher Taylor & Francis Group
publishDate 2020
url https://doi.org/10.1080/22797254.2020.1760733
https://doaj.org/article/682dbef88c9744f4a8aadc03783004b2
long_lat ENVELOPE(-52.000,-52.000,66.817,66.817)
geographic Arctic
Greenland
Niaqornarssuit
geographic_facet Arctic
Greenland
Niaqornarssuit
genre Arctic
Greenland
genre_facet Arctic
Greenland
op_source European Journal of Remote Sensing, Vol 53, Iss 1, Pp 156-175 (2020)
op_relation http://dx.doi.org/10.1080/22797254.2020.1760733
https://doaj.org/toc/2279-7254
2279-7254
doi:10.1080/22797254.2020.1760733
https://doaj.org/article/682dbef88c9744f4a8aadc03783004b2
op_doi https://doi.org/10.1080/22797254.2020.1760733
container_title European Journal of Remote Sensing
container_volume 53
container_issue 1
container_start_page 156
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