Sentinel-1 and ALOS data for lineament extraction: a comparative study

GREENPEG is a H2020 project developing exploration toolsets for critical materials in pegmatites. Lineament mapping is a powerful tool to identify geological structures at different scales, which is commonly applied in mineral exploration. To extract lineament information, different types of data ca...

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Published in:Earth Resources and Environmental Remote Sensing/GIS Applications XIII
Main Authors: Cardoso-Fernandes, J, Ana Teodoro, Lima, A, Menuge, J, Bronner, M, Steiner, R
Other Authors: Faculdade de Ciências
Format: Book
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10216/145658
https://doi.org/10.1117/12.2636117
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spelling ftunivporto:oai:repositorio-aberto.up.pt:10216/145658 2023-06-18T03:43:23+02:00 Sentinel-1 and ALOS data for lineament extraction: a comparative study Cardoso-Fernandes, J Ana Teodoro Lima, A Menuge, J Bronner, M Steiner, R Faculdade de Ciências 2022 application/pdf https://hdl.handle.net/10216/145658 https://doi.org/10.1117/12.2636117 eng eng EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS XIII https://hdl.handle.net/10216/145658 doi:10.1117/12.2636117 P-00X-CN3 info:eu-repo/semantics/restrictedAccess info:eu-repo/semantics/book 2022 ftunivporto https://doi.org/10.1117/12.2636117 2023-06-06T21:15:43Z GREENPEG is a H2020 project developing exploration toolsets for critical materials in pegmatites. Lineament mapping is a powerful tool to identify geological structures at different scales, which is commonly applied in mineral exploration. To extract lineament information, different types of data can be employed, namely: (i) optical remote sensing data, (ii) radar remote sensing data, and (iii) digital elevation models (DEM5). All these data have been used by GREENPEG, where image processing of Sentinel-1 and ALOS (DEM) datasets were evaluated to identify regional-scale tectonic structures, such as faults, that may have controlled pegmatite melt emplacement. Automated geomatics methods to extract lineament information and perform lineament mapping were employed and the mean direction of the extracted lineaments was evaluated through rose diagrams. In general, the results of the radar image processing were affected by noise in the coastal areas and by the topography of the region. ALOS data presented some advantages, due to less influence from topography and human structures (saving time in the visual inspection of the results). Moreover, even though higher thresholds for the minimum length to consider as a lineament were applied to Sentinel-1 images, ALOS-derived lineaments were longer. The main trend of the extracted lineaments is in agreement between the two datasets, although specific trends are clearer in the ALOS-derived lineaments because the shaded reliefs produced already filtered the azimuth of lineaments to be extracted according to light incidence angle. For all three project demonstration sites (Leinster, Ireland; Wolfsberg, Austria; and Tysfjord, Norway) it was possible to identify lineaments that may relate to structures that controlled pegmatite emplacement. This study demonstrates the usefulness of different satellite data in structural mapping and mineral exploration. Book Tysfjord Repositório Aberto da Universidade do Porto Norway Tysfjord ENVELOPE(16.374,16.374,68.097,68.097) Earth Resources and Environmental Remote Sensing/GIS Applications XIII 38
institution Open Polar
collection Repositório Aberto da Universidade do Porto
op_collection_id ftunivporto
language English
description GREENPEG is a H2020 project developing exploration toolsets for critical materials in pegmatites. Lineament mapping is a powerful tool to identify geological structures at different scales, which is commonly applied in mineral exploration. To extract lineament information, different types of data can be employed, namely: (i) optical remote sensing data, (ii) radar remote sensing data, and (iii) digital elevation models (DEM5). All these data have been used by GREENPEG, where image processing of Sentinel-1 and ALOS (DEM) datasets were evaluated to identify regional-scale tectonic structures, such as faults, that may have controlled pegmatite melt emplacement. Automated geomatics methods to extract lineament information and perform lineament mapping were employed and the mean direction of the extracted lineaments was evaluated through rose diagrams. In general, the results of the radar image processing were affected by noise in the coastal areas and by the topography of the region. ALOS data presented some advantages, due to less influence from topography and human structures (saving time in the visual inspection of the results). Moreover, even though higher thresholds for the minimum length to consider as a lineament were applied to Sentinel-1 images, ALOS-derived lineaments were longer. The main trend of the extracted lineaments is in agreement between the two datasets, although specific trends are clearer in the ALOS-derived lineaments because the shaded reliefs produced already filtered the azimuth of lineaments to be extracted according to light incidence angle. For all three project demonstration sites (Leinster, Ireland; Wolfsberg, Austria; and Tysfjord, Norway) it was possible to identify lineaments that may relate to structures that controlled pegmatite emplacement. This study demonstrates the usefulness of different satellite data in structural mapping and mineral exploration.
author2 Faculdade de Ciências
format Book
author Cardoso-Fernandes, J
Ana Teodoro
Lima, A
Menuge, J
Bronner, M
Steiner, R
spellingShingle Cardoso-Fernandes, J
Ana Teodoro
Lima, A
Menuge, J
Bronner, M
Steiner, R
Sentinel-1 and ALOS data for lineament extraction: a comparative study
author_facet Cardoso-Fernandes, J
Ana Teodoro
Lima, A
Menuge, J
Bronner, M
Steiner, R
author_sort Cardoso-Fernandes, J
title Sentinel-1 and ALOS data for lineament extraction: a comparative study
title_short Sentinel-1 and ALOS data for lineament extraction: a comparative study
title_full Sentinel-1 and ALOS data for lineament extraction: a comparative study
title_fullStr Sentinel-1 and ALOS data for lineament extraction: a comparative study
title_full_unstemmed Sentinel-1 and ALOS data for lineament extraction: a comparative study
title_sort sentinel-1 and alos data for lineament extraction: a comparative study
publishDate 2022
url https://hdl.handle.net/10216/145658
https://doi.org/10.1117/12.2636117
long_lat ENVELOPE(16.374,16.374,68.097,68.097)
geographic Norway
Tysfjord
geographic_facet Norway
Tysfjord
genre Tysfjord
genre_facet Tysfjord
op_relation EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS XIII
https://hdl.handle.net/10216/145658
doi:10.1117/12.2636117
P-00X-CN3
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op_doi https://doi.org/10.1117/12.2636117
container_title Earth Resources and Environmental Remote Sensing/GIS Applications XIII
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