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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Published in:Remote Sensing
Main Authors: Ádám Nádudvari, Anna Abramowicz, Rosanna Maniscalco, Marco Viccaro
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12162537
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spelling ftmdpi:oai:mdpi.com:/2072-4292/12/16/2537/ 2023-08-20T04:06:21+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 agris 2020-08-07 application/pdf https://doi.org/10.3390/rs12162537 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs12162537 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 16; Pages: 2537 lava flows spectral radiance Landsat series brightness temperatures Text 2020 ftmdpi https://doi.org/10.3390/rs12162537 2023-07-31T23:53:39Z 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. Text Eyjafjallajökull Iceland MDPI Open Access Publishing 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 MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic lava flows
spectral radiance
Landsat series
brightness temperatures
spellingShingle lava flows
spectral radiance
Landsat series
brightness temperatures
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
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 Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/rs12162537
op_coverage agris
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; Volume 12; Issue 16; Pages: 2537
op_relation Environmental Remote Sensing
https://dx.doi.org/10.3390/rs12162537
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs12162537
container_title Remote Sensing
container_volume 12
container_issue 16
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