The Estimation of Lava Flow Temperatures Using Landsat Night-Time Images: Case Studies from Eruptions of Mt. Etna and Stromboli (Sicily, Italy), Kīlauea (Hawaii Island), and Eyjafjallajökull and Holuhraun (Iceland)
Using satellite-based remote sensing to investigate volcanic eruptions is a common approach for preliminary research, chiefly because a great amount of freely available data can be effectively accessed. Here, Landsat 4-5TM, 7ETM+, and 8OLI night-time satellite images are used to estimate lava flow te...
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Language: | Polish |
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Online Access: | https://hdl.handle.net/20.500.12128/15886 https://doi.org/10.3390/rs12162537 |
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ftunivsilesia:oai:rebus.us.edu.pl:20.500.12128/15886 2023-05-15T16:09:34+02:00 The Estimation of Lava Flow Temperatures Using Landsat Night-Time Images: Case Studies from Eruptions of Mt. Etna and Stromboli (Sicily, Italy), Kīlauea (Hawaii Island), and Eyjafjallajökull and Holuhraun (Iceland) Nádudvari, Ádám Abramowicz, Anna Maniscalco, Rosanna Viccaro, Marco 2020 https://hdl.handle.net/20.500.12128/15886 https://doi.org/10.3390/rs12162537 pl pol Remote Sensing Remote Sensing, Vol. 12, iss. 16 (2020), art. no. 2537 2072-4292 http://hdl.handle.net/20.500.12128/15886 doi:10.3390/rs12162537 Uznanie autorstwa 3.0 Polska http://creativecommons.org/licenses/by/3.0/pl/ CC-BY lava flows spectral radiance Landsat series brightness temperatures info:eu-repo/semantics/article 2020 ftunivsilesia https://doi.org/20.500.12128/15886 https://doi.org/10.3390/rs12162537 2022-12-31T20:14:03Z Using satellite-based remote sensing to investigate volcanic eruptions is a common approach for preliminary research, chiefly because a great amount of freely available data can be effectively accessed. Here, Landsat 4-5TM, 7ETM+, and 8OLI night-time satellite images are used to estimate lava flow temperatures and radiation heat fluxes from selected volcanic eruptions worldwide. After retrieving the spectral radiance, the pixel values were transformed into temperatures using the calculated calibration constants. Results showed that the TIR and SWIR bands were saturated and unable to detect temperatures over the active lava flows. However, temperatures were effectively detected over the active lava flows in the range ~500–1060 ◦C applying the NIR-, red-, green- or blue-band. Application of the panchromatic band with 15 m resolution also revealed details of lava flow morphology. The calculated radiant heat flux for the lava flows accords with increasing cooling either with slope or with distance from the vent. Article in Journal/Newspaper Eyjafjallajökull Iceland The Repository of the University of Silesia (RE-BUŚ) Etna ENVELOPE(-19.191,-19.191,63.706,63.706) Holuhraun ENVELOPE(-16.831,-16.831,64.852,64.852) Remote Sensing 12 16 2537 |
institution |
Open Polar |
collection |
The Repository of the University of Silesia (RE-BUŚ) |
op_collection_id |
ftunivsilesia |
language |
Polish |
topic |
lava flows spectral radiance Landsat series brightness temperatures |
spellingShingle |
lava flows spectral radiance Landsat series brightness temperatures Nádudvari, Ádám Abramowicz, Anna Maniscalco, Rosanna Viccaro, Marco The Estimation of Lava Flow Temperatures Using Landsat Night-Time Images: Case Studies from Eruptions of Mt. Etna and Stromboli (Sicily, Italy), Kīlauea (Hawaii Island), and Eyjafjallajökull and Holuhraun (Iceland) |
topic_facet |
lava flows spectral radiance Landsat series brightness temperatures |
description |
Using satellite-based remote sensing to investigate volcanic eruptions is a common approach for preliminary research, chiefly because a great amount of freely available data can be effectively accessed. Here, Landsat 4-5TM, 7ETM+, and 8OLI night-time satellite images are used to estimate lava flow temperatures and radiation heat fluxes from selected volcanic eruptions worldwide. After retrieving the spectral radiance, the pixel values were transformed into temperatures using the calculated calibration constants. Results showed that the TIR and SWIR bands were saturated and unable to detect temperatures over the active lava flows. However, temperatures were effectively detected over the active lava flows in the range ~500–1060 ◦C applying the NIR-, red-, green- or blue-band. Application of the panchromatic band with 15 m resolution also revealed details of lava flow morphology. The calculated radiant heat flux for the lava flows accords with increasing cooling either with slope or with distance from the vent. |
format |
Article in Journal/Newspaper |
author |
Nádudvari, Ádám Abramowicz, Anna Maniscalco, Rosanna Viccaro, Marco |
author_facet |
Nádudvari, Ádám Abramowicz, Anna Maniscalco, Rosanna Viccaro, Marco |
author_sort |
Nádudvari, Ádám |
title |
The Estimation of Lava Flow Temperatures Using Landsat Night-Time Images: Case Studies from Eruptions of Mt. Etna and Stromboli (Sicily, Italy), Kīlauea (Hawaii Island), and Eyjafjallajökull and Holuhraun (Iceland) |
title_short |
The Estimation of Lava Flow Temperatures Using Landsat Night-Time Images: Case Studies from Eruptions of Mt. Etna and Stromboli (Sicily, Italy), Kīlauea (Hawaii Island), and Eyjafjallajökull and Holuhraun (Iceland) |
title_full |
The Estimation of Lava Flow Temperatures Using Landsat Night-Time Images: Case Studies from Eruptions of Mt. Etna and Stromboli (Sicily, Italy), Kīlauea (Hawaii Island), and Eyjafjallajökull and Holuhraun (Iceland) |
title_fullStr |
The Estimation of Lava Flow Temperatures Using Landsat Night-Time Images: Case Studies from Eruptions of Mt. Etna and Stromboli (Sicily, Italy), Kīlauea (Hawaii Island), and Eyjafjallajökull and Holuhraun (Iceland) |
title_full_unstemmed |
The Estimation of Lava Flow Temperatures Using Landsat Night-Time Images: Case Studies from Eruptions of Mt. Etna and Stromboli (Sicily, Italy), Kīlauea (Hawaii Island), and Eyjafjallajökull and Holuhraun (Iceland) |
title_sort |
estimation of lava flow temperatures using landsat night-time images: case studies from eruptions of mt. etna and stromboli (sicily, italy), kīlauea (hawaii island), and eyjafjallajökull and holuhraun (iceland) |
publishDate |
2020 |
url |
https://hdl.handle.net/20.500.12128/15886 https://doi.org/10.3390/rs12162537 |
long_lat |
ENVELOPE(-19.191,-19.191,63.706,63.706) ENVELOPE(-16.831,-16.831,64.852,64.852) |
geographic |
Etna Holuhraun |
geographic_facet |
Etna Holuhraun |
genre |
Eyjafjallajökull Iceland |
genre_facet |
Eyjafjallajökull Iceland |
op_relation |
Remote Sensing Remote Sensing, Vol. 12, iss. 16 (2020), art. no. 2537 2072-4292 http://hdl.handle.net/20.500.12128/15886 doi:10.3390/rs12162537 |
op_rights |
Uznanie autorstwa 3.0 Polska http://creativecommons.org/licenses/by/3.0/pl/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/20.500.12128/15886 https://doi.org/10.3390/rs12162537 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
16 |
container_start_page |
2537 |
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1766405435239170048 |