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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2020
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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 |
op_container_end_page |
175 |
_version_ |
1766321467003240448 |