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 |
---|---|
Main Authors: | , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2020
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs12162537 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/12/16/2537/ |
---|---|
record_format |
openpolar |
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 |
container_start_page |
2537 |
_version_ |
1774717370585055232 |