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 t...
Published in: | Remote Sensing |
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Online Access: | http://hdl.handle.net/2122/14485 https://doi.org/10.3390/rs12162537 |
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ftingv:oai:www.earth-prints.org:2122/14485 2023-05-15T16:09:35+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 Faculty of Natural Sciences, University of Silesia, 60 B ̨edzi ́nska Street, 41-200 Sosnowiec, Pola Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Universitàdi Catania Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia 2020 http://hdl.handle.net/2122/14485 https://doi.org/10.3390/rs12162537 en eng MDPI Remote Sensing /12(2020) 2072-4292 http://hdl.handle.net/2122/14485 doi:10.3390/rs12162537 open article 2020 ftingv https://doi.org/10.3390/rs12162537 2022-07-29T06:08:25Z 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. Published 2537 5IT. Osservazioni satellitari JCR Journal Article in Journal/Newspaper Eyjafjallajökull Iceland Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) 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 |
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Open Polar |
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Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) |
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ftingv |
language |
English |
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. Published 2537 5IT. Osservazioni satellitari JCR Journal |
author2 |
Faculty of Natural Sciences, University of Silesia, 60 B ̨edzi ́nska Street, 41-200 Sosnowiec, Pola Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Universitàdi Catania Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia |
format |
Article in Journal/Newspaper |
author |
Nádudvari, Ádám Abramowicz, Anna Maniscalco, Rosanna Viccaro, Marco |
spellingShingle |
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) |
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) |
publisher |
MDPI |
publishDate |
2020 |
url |
http://hdl.handle.net/2122/14485 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 /12(2020) 2072-4292 http://hdl.handle.net/2122/14485 doi:10.3390/rs12162537 |
op_rights |
open |
op_doi |
https://doi.org/10.3390/rs12162537 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
16 |
container_start_page |
2537 |
_version_ |
1766405441621852160 |