Landsat 8 oli broadband albedo validation in antarctica and greenland

The albedo is a fundamental component of the processes that govern the energy budget, and particularly important in the context of climate change. However, a satellite-based high-resolution (30 m) albedo product which can be used in the polar regions up to 82.5◦ latitude during the summer seasons is...

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Published in:Remote Sensing
Main Authors: Traversa G., Fugazza D., Senese A., Frezzotti M.
Other Authors: Traversa, G., Fugazza, D., Senese, A., Frezzotti, M.
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/11590/390912
https://doi.org/10.3390/rs13040799
https://www.mdpi.com/2072-4292/13/4/799
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record_format openpolar
spelling ftunivroma3iris:oai:iris.uniroma3.it:11590/390912 2024-01-14T10:00:51+01:00 Landsat 8 oli broadband albedo validation in antarctica and greenland Traversa G. Fugazza D. Senese A. Frezzotti M. Traversa, G. Fugazza, D. Senese, A. Frezzotti, M. 2021 http://hdl.handle.net/11590/390912 https://doi.org/10.3390/rs13040799 https://www.mdpi.com/2072-4292/13/4/799 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000624429300001 volume:13 issue:4 firstpage:1 lastpage:19 numberofpages:19 journal:REMOTE SENSING http://hdl.handle.net/11590/390912 doi:10.3390/rs13040799 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85102059604 https://www.mdpi.com/2072-4292/13/4/799 info:eu-repo/semantics/openAccess Albedo Antarctica Cryosphere Greenland Landsat Polar region Remote sensing info:eu-repo/semantics/article 2021 ftunivroma3iris https://doi.org/10.3390/rs13040799 2023-12-20T17:54:13Z The albedo is a fundamental component of the processes that govern the energy budget, and particularly important in the context of climate change. However, a satellite-based high-resolution (30 m) albedo product which can be used in the polar regions up to 82.5◦ latitude during the summer seasons is lacking. To cover this gap, in this study we calculate satellite-based broadband albedo from Landsat 8 OLI and validate it against broadband albedo measurements from in situ stations located on the Antarctic and Greenland icesheets. The model to derive the albedo from raw satellite data includes an atmospheric and topographic correction and conversion from narrow-band to broadband albedo, and at each step different options were taken into account, in order to provide the best combination of corrections. Results, after being cleaned from anomalous data, show a good agreement with in situ albedo measurements, with a mean absolute error between in situ and satellite albedo of 0.021, a root mean square error of 0.026, a standard deviation of 0.015, a correlation coefficient of 0.995 (p < 0.01) and a bias estimate of −0.005. Considering the structure of the model, it could be applied to data from previous sensors of the Landsat family and help construct a record to analyze albedo variations in the polar regions. Article in Journal/Newspaper Antarc* Antarctic Antarctica Greenland Anagrafe della Ricerca d'Ateneo (Universitá degli studi Roma Tre) Antarctic Greenland The Antarctic Remote Sensing 13 4 799
institution Open Polar
collection Anagrafe della Ricerca d'Ateneo (Universitá degli studi Roma Tre)
op_collection_id ftunivroma3iris
language English
topic Albedo
Antarctica
Cryosphere
Greenland
Landsat
Polar region
Remote sensing
spellingShingle Albedo
Antarctica
Cryosphere
Greenland
Landsat
Polar region
Remote sensing
Traversa G.
Fugazza D.
Senese A.
Frezzotti M.
Landsat 8 oli broadband albedo validation in antarctica and greenland
topic_facet Albedo
Antarctica
Cryosphere
Greenland
Landsat
Polar region
Remote sensing
description The albedo is a fundamental component of the processes that govern the energy budget, and particularly important in the context of climate change. However, a satellite-based high-resolution (30 m) albedo product which can be used in the polar regions up to 82.5◦ latitude during the summer seasons is lacking. To cover this gap, in this study we calculate satellite-based broadband albedo from Landsat 8 OLI and validate it against broadband albedo measurements from in situ stations located on the Antarctic and Greenland icesheets. The model to derive the albedo from raw satellite data includes an atmospheric and topographic correction and conversion from narrow-band to broadband albedo, and at each step different options were taken into account, in order to provide the best combination of corrections. Results, after being cleaned from anomalous data, show a good agreement with in situ albedo measurements, with a mean absolute error between in situ and satellite albedo of 0.021, a root mean square error of 0.026, a standard deviation of 0.015, a correlation coefficient of 0.995 (p < 0.01) and a bias estimate of −0.005. Considering the structure of the model, it could be applied to data from previous sensors of the Landsat family and help construct a record to analyze albedo variations in the polar regions.
author2 Traversa, G.
Fugazza, D.
Senese, A.
Frezzotti, M.
format Article in Journal/Newspaper
author Traversa G.
Fugazza D.
Senese A.
Frezzotti M.
author_facet Traversa G.
Fugazza D.
Senese A.
Frezzotti M.
author_sort Traversa G.
title Landsat 8 oli broadband albedo validation in antarctica and greenland
title_short Landsat 8 oli broadband albedo validation in antarctica and greenland
title_full Landsat 8 oli broadband albedo validation in antarctica and greenland
title_fullStr Landsat 8 oli broadband albedo validation in antarctica and greenland
title_full_unstemmed Landsat 8 oli broadband albedo validation in antarctica and greenland
title_sort landsat 8 oli broadband albedo validation in antarctica and greenland
publishDate 2021
url http://hdl.handle.net/11590/390912
https://doi.org/10.3390/rs13040799
https://www.mdpi.com/2072-4292/13/4/799
geographic Antarctic
Greenland
The Antarctic
geographic_facet Antarctic
Greenland
The Antarctic
genre Antarc*
Antarctic
Antarctica
Greenland
genre_facet Antarc*
Antarctic
Antarctica
Greenland
op_relation info:eu-repo/semantics/altIdentifier/wos/WOS:000624429300001
volume:13
issue:4
firstpage:1
lastpage:19
numberofpages:19
journal:REMOTE SENSING
http://hdl.handle.net/11590/390912
doi:10.3390/rs13040799
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85102059604
https://www.mdpi.com/2072-4292/13/4/799
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3390/rs13040799
container_title Remote Sensing
container_volume 13
container_issue 4
container_start_page 799
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