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: Giacomo Traversa, Davide Fugazza, Antonella Senese, Massimo Frezzotti
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Q
Online Access:https://doi.org/10.3390/rs13040799
https://doaj.org/article/386567b45b3c4d54b4fb92256b43a14b
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spelling ftdoajarticles:oai:doaj.org/article:386567b45b3c4d54b4fb92256b43a14b 2024-01-14T10:01:57+01:00 Landsat 8 OLI Broadband Albedo Validation in Antarctica and Greenland Giacomo Traversa Davide Fugazza Antonella Senese Massimo Frezzotti 2021-02-01T00:00:00Z https://doi.org/10.3390/rs13040799 https://doaj.org/article/386567b45b3c4d54b4fb92256b43a14b EN eng MDPI AG https://www.mdpi.com/2072-4292/13/4/799 https://doaj.org/toc/2072-4292 doi:10.3390/rs13040799 2072-4292 https://doaj.org/article/386567b45b3c4d54b4fb92256b43a14b Remote Sensing, Vol 13, Iss 4, p 799 (2021) albedo remote sensing Landsat cryosphere polar regions Antarctica Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13040799 2023-12-17T01:45:23Z 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 Directory of Open Access Journals: DOAJ Articles Antarctic Greenland The Antarctic Remote Sensing 13 4 799
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic albedo
remote sensing
Landsat
cryosphere
polar regions
Antarctica
Science
Q
spellingShingle albedo
remote sensing
Landsat
cryosphere
polar regions
Antarctica
Science
Q
Giacomo Traversa
Davide Fugazza
Antonella Senese
Massimo Frezzotti
Landsat 8 OLI Broadband Albedo Validation in Antarctica and Greenland
topic_facet albedo
remote sensing
Landsat
cryosphere
polar regions
Antarctica
Science
Q
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.
format Article in Journal/Newspaper
author Giacomo Traversa
Davide Fugazza
Antonella Senese
Massimo Frezzotti
author_facet Giacomo Traversa
Davide Fugazza
Antonella Senese
Massimo Frezzotti
author_sort Giacomo Traversa
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
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/rs13040799
https://doaj.org/article/386567b45b3c4d54b4fb92256b43a14b
geographic Antarctic
Greenland
The Antarctic
geographic_facet Antarctic
Greenland
The Antarctic
genre Antarc*
Antarctic
Antarctica
Greenland
genre_facet Antarc*
Antarctic
Antarctica
Greenland
op_source Remote Sensing, Vol 13, Iss 4, p 799 (2021)
op_relation https://www.mdpi.com/2072-4292/13/4/799
https://doaj.org/toc/2072-4292
doi:10.3390/rs13040799
2072-4292
https://doaj.org/article/386567b45b3c4d54b4fb92256b43a14b
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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