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...
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MDPI AG
2020
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Online Access: | https://doi.org/10.3390/rs12162537 https://doaj.org/article/8d8c040cb3f94833aa5430a3415140b0 |
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ftdoajarticles:oai:doaj.org/article:8d8c040cb3f94833aa5430a3415140b0 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) Ádám Nádudvari Anna Abramowicz Rosanna Maniscalco Marco Viccaro 2020-08-01T00:00:00Z https://doi.org/10.3390/rs12162537 https://doaj.org/article/8d8c040cb3f94833aa5430a3415140b0 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/16/2537 https://doaj.org/toc/2072-4292 doi:10.3390/rs12162537 2072-4292 https://doaj.org/article/8d8c040cb3f94833aa5430a3415140b0 Remote Sensing, Vol 12, Iss 2537, p 2537 (2020) lava flows spectral radiance Landsat series brightness temperatures Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12162537 2022-12-31T16:12:54Z 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 Directory of Open Access Journals: DOAJ Articles Holuhraun ENVELOPE(-16.831,-16.831,64.852,64.852) Etna ENVELOPE(-19.191,-19.191,63.706,63.706) Remote Sensing 12 16 2537 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
lava flows spectral radiance Landsat series brightness temperatures Science Q |
spellingShingle |
lava flows spectral radiance Landsat series brightness temperatures Science Q Ádám Nádudvari Anna Abramowicz Rosanna Maniscalco Marco Viccaro 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 Science Q |
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 |
Ádám Nádudvari Anna Abramowicz Rosanna Maniscalco Marco Viccaro |
author_facet |
Ádám Nádudvari Anna Abramowicz Rosanna Maniscalco Marco Viccaro |
author_sort |
Ádám Nádudvari |
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 AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12162537 https://doaj.org/article/8d8c040cb3f94833aa5430a3415140b0 |
long_lat |
ENVELOPE(-16.831,-16.831,64.852,64.852) ENVELOPE(-19.191,-19.191,63.706,63.706) |
geographic |
Holuhraun Etna |
geographic_facet |
Holuhraun Etna |
genre |
Eyjafjallajökull Iceland |
genre_facet |
Eyjafjallajökull Iceland |
op_source |
Remote Sensing, Vol 12, Iss 2537, p 2537 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/16/2537 https://doaj.org/toc/2072-4292 doi:10.3390/rs12162537 2072-4292 https://doaj.org/article/8d8c040cb3f94833aa5430a3415140b0 |
op_doi |
https://doi.org/10.3390/rs12162537 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
16 |
container_start_page |
2537 |
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1766405436851879936 |