Identification of phyllosilicates in the antarctic environment using aster satellite data: Case study from the mesa range, campbell and priestley glaciers, northern Victoria land
In Antarctica, spectral mapping of altered minerals is very challenging due to the remote-ness and inaccessibility of poorly exposed outcrops. This investigation evaluates the capability of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite remote sensing imagery for ma...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/10453/148668 |
id |
ftunivtsydney:oai:opus.lib.uts.edu.au:10453/148668 |
---|---|
record_format |
openpolar |
spelling |
ftunivtsydney:oai:opus.lib.uts.edu.au:10453/148668 2023-05-15T14:02:14+02:00 Identification of phyllosilicates in the antarctic environment using aster satellite data: Case study from the mesa range, campbell and priestley glaciers, northern Victoria land Pour, AB Sekandari, M Rahmani, O Crispini, L Läufer, A Park, Y Hong, JK Pradhan, B Hashim, M Hossain, MS Muslim, AM Mehranzamir, K 2021-05-05T01:10:58Z application/pdf http://hdl.handle.net/10453/148668 English eng MDPI Remote Sensing 10.3390/rs13010038 Remote Sensing, 2021, 13, (1), pp. 1-37 2315-4675 2072-4292 http://hdl.handle.net/10453/148668 info:eu-repo/semantics/openAccess 0203 Classical Physics 0406 Physical Geography and Environmental Geoscience 0909 Geomatic Engineering Journal Article 2021 ftunivtsydney 2022-03-13T13:19:52Z In Antarctica, spectral mapping of altered minerals is very challenging due to the remote-ness and inaccessibility of poorly exposed outcrops. This investigation evaluates the capability of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite remote sensing imagery for mapping and discrimination of phyllosilicate mineral groups in the Antarctic environment of northern Victoria Land. The Mixture-Tuned Matched-Filtering (MTMF) and Constrained Energy Minimization (CEM) algorithms were used to detect the sub-pixel abundance of Al-rich, Fe -rich, Fe -rich and Mg-rich phyllosilicates using the visible and near-infrared (VNIR), short-wave infrared (SWIR) and thermal-infrared (TIR) bands of ASTER. Results indicate that Al-rich phyllosilicates are strongly detected in the exposed outcrops of the Granite Harbour granitoids, Wilson Metamorphic Complex and the Beacon Supergroup. The presence of the smectite mineral group derived from the Jurassic basaltic rocks (Ferrar Dolerite and Kirkpatrick Basalts) by weathering and decomposition processes implicates Fe -rich and Fe -rich phyllosilicates. Biotite (Fe -rich phyllosilicate) is detected associated with the Granite Harbour granitoids, Wilson Metamorphic Complex and Melbourne Volcanics. Mg-rich phyllosilicates are mostly mapped in the scree, glacial drift, moraine and crevasse fields derived from weathering and decomposition of the Kirkpatrick Basalt and Ferrar Dolerite. Chlorite (Mg-rich phyllosilicate) was generally mapped in the exposures of Granite Harbour granodiorite and granite and partially identified in the Ferrar Dolerite, the Kirkpatrick Basalt, the Priestley Formation and Priestley Schist and the scree, glacial drift and moraine. Statistical results indicate that Al-rich phyllosilicates class pixels are strongly discriminated, while the pixels at-tributed to Fe -rich class, Fe -rich and Mg-rich phyllosilicates classes contain some spectral mixing due to their subtle spectral differences in the VNIR+SWIR bands of ASTER. Results derived from TIR bands of ASTER show that a high level of confusion is associated with mafic phyllosilicates pixels (Fe -rich, Fe -rich and Mg-rich classes), whereas felsic phyllosilicates (Al-rich class) pixels are well mapped. Ground truth with detailed geological data, petrographic study and X-ray diffraction (XRD) analysis verified the remote sensing results. Consequently, ASTER image-map of phyllosilicate minerals is generated for the Mesa Range, Campbell and Priestley Glaciers, northern Victoria Land of Antarctica. 3+ 2+ 3+ 2+ 2+ 3+ 2+ 3+ 2+ Article in Journal/Newspaper Antarc* Antarctic Antarctica Victoria Land University of Technology Sydney: OPUS - Open Publications of UTS Scholars Antarctic Granite Harbour ENVELOPE(162.733,162.733,-76.883,-76.883) Mesa Range ENVELOPE(162.917,162.917,-73.183,-73.183) Priestley ENVELOPE(161.883,161.883,-75.183,-75.183) The Antarctic Victoria Land |
institution |
Open Polar |
collection |
University of Technology Sydney: OPUS - Open Publications of UTS Scholars |
op_collection_id |
ftunivtsydney |
language |
English |
topic |
0203 Classical Physics 0406 Physical Geography and Environmental Geoscience 0909 Geomatic Engineering |
spellingShingle |
0203 Classical Physics 0406 Physical Geography and Environmental Geoscience 0909 Geomatic Engineering Pour, AB Sekandari, M Rahmani, O Crispini, L Läufer, A Park, Y Hong, JK Pradhan, B Hashim, M Hossain, MS Muslim, AM Mehranzamir, K Identification of phyllosilicates in the antarctic environment using aster satellite data: Case study from the mesa range, campbell and priestley glaciers, northern Victoria land |
topic_facet |
0203 Classical Physics 0406 Physical Geography and Environmental Geoscience 0909 Geomatic Engineering |
description |
In Antarctica, spectral mapping of altered minerals is very challenging due to the remote-ness and inaccessibility of poorly exposed outcrops. This investigation evaluates the capability of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite remote sensing imagery for mapping and discrimination of phyllosilicate mineral groups in the Antarctic environment of northern Victoria Land. The Mixture-Tuned Matched-Filtering (MTMF) and Constrained Energy Minimization (CEM) algorithms were used to detect the sub-pixel abundance of Al-rich, Fe -rich, Fe -rich and Mg-rich phyllosilicates using the visible and near-infrared (VNIR), short-wave infrared (SWIR) and thermal-infrared (TIR) bands of ASTER. Results indicate that Al-rich phyllosilicates are strongly detected in the exposed outcrops of the Granite Harbour granitoids, Wilson Metamorphic Complex and the Beacon Supergroup. The presence of the smectite mineral group derived from the Jurassic basaltic rocks (Ferrar Dolerite and Kirkpatrick Basalts) by weathering and decomposition processes implicates Fe -rich and Fe -rich phyllosilicates. Biotite (Fe -rich phyllosilicate) is detected associated with the Granite Harbour granitoids, Wilson Metamorphic Complex and Melbourne Volcanics. Mg-rich phyllosilicates are mostly mapped in the scree, glacial drift, moraine and crevasse fields derived from weathering and decomposition of the Kirkpatrick Basalt and Ferrar Dolerite. Chlorite (Mg-rich phyllosilicate) was generally mapped in the exposures of Granite Harbour granodiorite and granite and partially identified in the Ferrar Dolerite, the Kirkpatrick Basalt, the Priestley Formation and Priestley Schist and the scree, glacial drift and moraine. Statistical results indicate that Al-rich phyllosilicates class pixels are strongly discriminated, while the pixels at-tributed to Fe -rich class, Fe -rich and Mg-rich phyllosilicates classes contain some spectral mixing due to their subtle spectral differences in the VNIR+SWIR bands of ASTER. Results derived from TIR bands of ASTER show that a high level of confusion is associated with mafic phyllosilicates pixels (Fe -rich, Fe -rich and Mg-rich classes), whereas felsic phyllosilicates (Al-rich class) pixels are well mapped. Ground truth with detailed geological data, petrographic study and X-ray diffraction (XRD) analysis verified the remote sensing results. Consequently, ASTER image-map of phyllosilicate minerals is generated for the Mesa Range, Campbell and Priestley Glaciers, northern Victoria Land of Antarctica. 3+ 2+ 3+ 2+ 2+ 3+ 2+ 3+ 2+ |
format |
Article in Journal/Newspaper |
author |
Pour, AB Sekandari, M Rahmani, O Crispini, L Läufer, A Park, Y Hong, JK Pradhan, B Hashim, M Hossain, MS Muslim, AM Mehranzamir, K |
author_facet |
Pour, AB Sekandari, M Rahmani, O Crispini, L Läufer, A Park, Y Hong, JK Pradhan, B Hashim, M Hossain, MS Muslim, AM Mehranzamir, K |
author_sort |
Pour, AB |
title |
Identification of phyllosilicates in the antarctic environment using aster satellite data: Case study from the mesa range, campbell and priestley glaciers, northern Victoria land |
title_short |
Identification of phyllosilicates in the antarctic environment using aster satellite data: Case study from the mesa range, campbell and priestley glaciers, northern Victoria land |
title_full |
Identification of phyllosilicates in the antarctic environment using aster satellite data: Case study from the mesa range, campbell and priestley glaciers, northern Victoria land |
title_fullStr |
Identification of phyllosilicates in the antarctic environment using aster satellite data: Case study from the mesa range, campbell and priestley glaciers, northern Victoria land |
title_full_unstemmed |
Identification of phyllosilicates in the antarctic environment using aster satellite data: Case study from the mesa range, campbell and priestley glaciers, northern Victoria land |
title_sort |
identification of phyllosilicates in the antarctic environment using aster satellite data: case study from the mesa range, campbell and priestley glaciers, northern victoria land |
publisher |
MDPI |
publishDate |
2021 |
url |
http://hdl.handle.net/10453/148668 |
long_lat |
ENVELOPE(162.733,162.733,-76.883,-76.883) ENVELOPE(162.917,162.917,-73.183,-73.183) ENVELOPE(161.883,161.883,-75.183,-75.183) |
geographic |
Antarctic Granite Harbour Mesa Range Priestley The Antarctic Victoria Land |
geographic_facet |
Antarctic Granite Harbour Mesa Range Priestley The Antarctic Victoria Land |
genre |
Antarc* Antarctic Antarctica Victoria Land |
genre_facet |
Antarc* Antarctic Antarctica Victoria Land |
op_relation |
Remote Sensing 10.3390/rs13010038 Remote Sensing, 2021, 13, (1), pp. 1-37 2315-4675 2072-4292 http://hdl.handle.net/10453/148668 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766272389144903680 |