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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/4/799 |
| _version_ | 1797395695756378112 |
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| author | Giacomo Traversa Davide Fugazza Antonella Senese Massimo Frezzotti |
| author_facet | Giacomo Traversa Davide Fugazza Antonella Senese Massimo Frezzotti |
| author_sort | Giacomo Traversa |
| collection | DOAJ |
| 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 (<i>p</i> < 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. |
| first_indexed | 2024-03-09T00:39:13Z |
| format | Article |
| id | doaj.art-386567b45b3c4d54b4fb92256b43a14b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T00:39:13Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-386567b45b3c4d54b4fb92256b43a14b2023-12-11T17:56:01ZengMDPI AGRemote Sensing2072-42922021-02-0113479910.3390/rs13040799Landsat 8 OLI Broadband Albedo Validation in Antarctica and GreenlandGiacomo Traversa0Davide Fugazza1Antonella Senese2Massimo Frezzotti3Department of Physical Sciences, Earth and Environment (DSFTA), Università Degli Studi Di Siena, 53100 Siena, ItalyDepartment of Environmental Science and Policy (ESP), Università Degli Studi Di Milano, 20133 Milan, ItalyDepartment of Environmental Science and Policy (ESP), Università Degli Studi Di Milano, 20133 Milan, ItalyDepartment of Science, Università Degli Studi Roma Tre, 00146 Rome, ItalyThe 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 (<i>p</i> < 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.https://www.mdpi.com/2072-4292/13/4/799albedoremote sensingLandsatcryospherepolar regionsAntarctica |
| spellingShingle | Giacomo Traversa Davide Fugazza Antonella Senese Massimo Frezzotti Landsat 8 OLI Broadband Albedo Validation in Antarctica and Greenland Remote Sensing albedo remote sensing Landsat cryosphere polar regions Antarctica |
| title | 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_short | Landsat 8 OLI Broadband Albedo Validation in Antarctica and Greenland |
| title_sort | landsat 8 oli broadband albedo validation in antarctica and greenland |
| topic | albedo remote sensing Landsat cryosphere polar regions Antarctica |
| url | https://www.mdpi.com/2072-4292/13/4/799 |
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