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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ftmdpi:oai:mdpi.com:/2072-4292/13/4/799/ 2023-08-20T04:01:31+02:00 Landsat 8 OLI Broadband Albedo Validation in Antarctica and Greenland Giacomo Traversa Davide Fugazza Antonella Senese Massimo Frezzotti agris 2021-02-22 application/pdf https://doi.org/10.3390/rs13040799 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs13040799 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 4; Pages: 799 albedo remote sensing Landsat cryosphere polar regions Antarctica Greenland Text 2021 ftmdpi https://doi.org/10.3390/rs13040799 2023-08-01T01:07:19Z 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. Text Antarc* Antarctic Antarctica Greenland MDPI Open Access Publishing Antarctic The Antarctic Greenland Remote Sensing 13 4 799 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
albedo remote sensing Landsat cryosphere polar regions Antarctica Greenland |
spellingShingle |
albedo remote sensing Landsat cryosphere polar regions Antarctica Greenland 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 Greenland |
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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13040799 |
op_coverage |
agris |
geographic |
Antarctic The Antarctic Greenland |
geographic_facet |
Antarctic The Antarctic Greenland |
genre |
Antarc* Antarctic Antarctica Greenland |
genre_facet |
Antarc* Antarctic Antarctica Greenland |
op_source |
Remote Sensing; Volume 13; Issue 4; Pages: 799 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs13040799 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
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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1774724785263083520 |