EXPLORATION OF IOCG MINERALIZATIONS USING INTEGRATION OF SPACE-BORNE REMOTE SENSING DATA WITH AIRBORNE GEOPHYSICAL DATA
Nowadays, remote sensing technologies are playing a significant role in mineral potential mapping. To optimize the exploration approach along with a cost-effective way, narrow down the target areas for a more detailed study for mineral exploration using suitable data selection and accurate data proc...
Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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2020
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Online Access: | https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-9-2020 https://doaj.org/article/9e10c403560e4f41b25b93466aa86e08 |
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ftdoajarticles:oai:doaj.org/article:9e10c403560e4f41b25b93466aa86e08 2023-05-15T15:11:06+02:00 EXPLORATION OF IOCG MINERALIZATIONS USING INTEGRATION OF SPACE-BORNE REMOTE SENSING DATA WITH AIRBORNE GEOPHYSICAL DATA M. Abdolmaleki T. M. Rasmussen M. K. Pal 2020-08-01T00:00:00Z https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-9-2020 https://doaj.org/article/9e10c403560e4f41b25b93466aa86e08 EN eng Copernicus Publications https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/9/2020/isprs-archives-XLIII-B3-2020-9-2020.pdf https://doaj.org/toc/1682-1750 https://doaj.org/toc/2194-9034 doi:10.5194/isprs-archives-XLIII-B3-2020-9-2020 1682-1750 2194-9034 https://doaj.org/article/9e10c403560e4f41b25b93466aa86e08 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 9-16 (2020) Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 article 2020 ftdoajarticles https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-9-2020 2022-12-31T01:25:08Z Nowadays, remote sensing technologies are playing a significant role in mineral potential mapping. To optimize the exploration approach along with a cost-effective way, narrow down the target areas for a more detailed study for mineral exploration using suitable data selection and accurate data processing approaches are crucial. To establish optimum procedures by integrating space-borne remote sensing data with other earth sciences data (e.g., airborne magnetic and electromagnetic) for exploration of Iron Oxide Copper Gold (IOCG) mineralization is the objective of this study. Further, the project focus is to test the effectiveness of Copernicus Sentinel-2 data in mineral potential mapping from the high Arctic region. Thus, Inglefield Land from northwest Greenland has been chosen as a study area to evaluate the developed approach. The altered minerals, including irons and clays, were mapped utilizing Sentinel-2 data through band ratio and principal component analysis (PCA) methods. Lineaments of the study area were extracted from Sentinel-2 data using directional filters. Self-Organizing Maps (SOM) and Support Vector Machines (SVM) were used for classification and analysing the available data. Further, various thematic maps (e.g., geological, geophysical, geochemical) were prepared from the study area. Finally, a mineral prospectively map was generated by integrating the above mentioned information using the Fuzzy Analytic Hierarchy Process (FAHP). The prepared potential map for IOCG mineralization using the above approach of Inglefield Land shows a good agreement with the previous geological field studies. Article in Journal/Newspaper Arctic Greenland Inglefield land Directory of Open Access Journals: DOAJ Articles Arctic Greenland Inglefield Land ENVELOPE(-69.987,-69.987,78.637,78.637) The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 9 16 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 |
spellingShingle |
Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 M. Abdolmaleki T. M. Rasmussen M. K. Pal EXPLORATION OF IOCG MINERALIZATIONS USING INTEGRATION OF SPACE-BORNE REMOTE SENSING DATA WITH AIRBORNE GEOPHYSICAL DATA |
topic_facet |
Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 |
description |
Nowadays, remote sensing technologies are playing a significant role in mineral potential mapping. To optimize the exploration approach along with a cost-effective way, narrow down the target areas for a more detailed study for mineral exploration using suitable data selection and accurate data processing approaches are crucial. To establish optimum procedures by integrating space-borne remote sensing data with other earth sciences data (e.g., airborne magnetic and electromagnetic) for exploration of Iron Oxide Copper Gold (IOCG) mineralization is the objective of this study. Further, the project focus is to test the effectiveness of Copernicus Sentinel-2 data in mineral potential mapping from the high Arctic region. Thus, Inglefield Land from northwest Greenland has been chosen as a study area to evaluate the developed approach. The altered minerals, including irons and clays, were mapped utilizing Sentinel-2 data through band ratio and principal component analysis (PCA) methods. Lineaments of the study area were extracted from Sentinel-2 data using directional filters. Self-Organizing Maps (SOM) and Support Vector Machines (SVM) were used for classification and analysing the available data. Further, various thematic maps (e.g., geological, geophysical, geochemical) were prepared from the study area. Finally, a mineral prospectively map was generated by integrating the above mentioned information using the Fuzzy Analytic Hierarchy Process (FAHP). The prepared potential map for IOCG mineralization using the above approach of Inglefield Land shows a good agreement with the previous geological field studies. |
format |
Article in Journal/Newspaper |
author |
M. Abdolmaleki T. M. Rasmussen M. K. Pal |
author_facet |
M. Abdolmaleki T. M. Rasmussen M. K. Pal |
author_sort |
M. Abdolmaleki |
title |
EXPLORATION OF IOCG MINERALIZATIONS USING INTEGRATION OF SPACE-BORNE REMOTE SENSING DATA WITH AIRBORNE GEOPHYSICAL DATA |
title_short |
EXPLORATION OF IOCG MINERALIZATIONS USING INTEGRATION OF SPACE-BORNE REMOTE SENSING DATA WITH AIRBORNE GEOPHYSICAL DATA |
title_full |
EXPLORATION OF IOCG MINERALIZATIONS USING INTEGRATION OF SPACE-BORNE REMOTE SENSING DATA WITH AIRBORNE GEOPHYSICAL DATA |
title_fullStr |
EXPLORATION OF IOCG MINERALIZATIONS USING INTEGRATION OF SPACE-BORNE REMOTE SENSING DATA WITH AIRBORNE GEOPHYSICAL DATA |
title_full_unstemmed |
EXPLORATION OF IOCG MINERALIZATIONS USING INTEGRATION OF SPACE-BORNE REMOTE SENSING DATA WITH AIRBORNE GEOPHYSICAL DATA |
title_sort |
exploration of iocg mineralizations using integration of space-borne remote sensing data with airborne geophysical data |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-9-2020 https://doaj.org/article/9e10c403560e4f41b25b93466aa86e08 |
long_lat |
ENVELOPE(-69.987,-69.987,78.637,78.637) |
geographic |
Arctic Greenland Inglefield Land |
geographic_facet |
Arctic Greenland Inglefield Land |
genre |
Arctic Greenland Inglefield land |
genre_facet |
Arctic Greenland Inglefield land |
op_source |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 9-16 (2020) |
op_relation |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/9/2020/isprs-archives-XLIII-B3-2020-9-2020.pdf https://doaj.org/toc/1682-1750 https://doaj.org/toc/2194-9034 doi:10.5194/isprs-archives-XLIII-B3-2020-9-2020 1682-1750 2194-9034 https://doaj.org/article/9e10c403560e4f41b25b93466aa86e08 |
op_doi |
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-9-2020 |
container_title |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
XLIII-B3-2020 |
container_start_page |
9 |
op_container_end_page |
16 |
_version_ |
1766342008200232960 |