Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations
Glacier albedo determines the net shortwave radiation absorbed at the glacier surface and plays a crucial role in glacier energy and mass balance. Remote sensing techniques are efficient means to retrieve glacier surface albedo over large and inaccessible areas and to study its variability. However,...
| Main Authors: | , , , , , , , , , |
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| פורמט: | Article |
| שפה: | English |
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MDPI AG
2021-04-01
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| סדרה: | Remote Sensing |
| נושאים: | |
| גישה מקוונת: | https://www.mdpi.com/2072-4292/13/9/1714 |
| _version_ | 1827693859334782976 |
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| author | Shaoting Ren Evan S. Miles Li Jia Massimo Menenti Marin Kneib Pascal Buri Michael J. McCarthy Thomas E. Shaw Wei Yang Francesca Pellicciotti |
| author_facet | Shaoting Ren Evan S. Miles Li Jia Massimo Menenti Marin Kneib Pascal Buri Michael J. McCarthy Thomas E. Shaw Wei Yang Francesca Pellicciotti |
| author_sort | Shaoting Ren |
| collection | DOAJ |
| description | Glacier albedo determines the net shortwave radiation absorbed at the glacier surface and plays a crucial role in glacier energy and mass balance. Remote sensing techniques are efficient means to retrieve glacier surface albedo over large and inaccessible areas and to study its variability. However, corrections of anisotropic reflectance of glacier surface have been established for specific shortwave bands only, such as Landsat 5 Thematic Mapper (L5/TM) band 2 and band 4, which is a major limitation of current retrievals of glacier broadband albedo. In this study, we calibrated and evaluated four anisotropy correction models for glacier snow and ice, applicable to visible, near-infrared and shortwave-infrared wavelengths using airborne datasets of Bidirectional Reflectance Distribution Function (BRDF). We then tested the ability of the best-performing anisotropy correction model, referred to from here on as the ‘updated model’, to retrieve albedo from L5/TM, Landsat 8 Operational Land Imager (L8/OLI) and Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, and evaluated these results with field measurements collected on eight glaciers around the world. Our results show that the updated model: (1) can accurately estimate anisotropic factors of reflectance for snow and ice surfaces; (2) generally performs better than prior approaches for L8/OLI albedo retrieval but is not appropriate for L5/TM; (3) generally retrieves MODIS albedo better than the MODIS standard albedo product (MCD43A3) in both absolute values and glacier albedo temporal evolution, i.e., exhibiting both fewer gaps and better agreement with field observations. As the updated model enables anisotropy correction of a maximum of 10 multispectral bands and is implemented in Google Earth Engine (GEE), it is promising for observing and analyzing glacier albedo at large spatial scales. |
| first_indexed | 2024-03-10T11:52:19Z |
| format | Article |
| id | doaj.art-a4f85ae2e86248f6b18e5b0d51c2d4bd |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T11:52:19Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-a4f85ae2e86248f6b18e5b0d51c2d4bd2023-11-21T17:38:16ZengMDPI AGRemote Sensing2072-42922021-04-01139171410.3390/rs13091714Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite ObservationsShaoting Ren0Evan S. Miles1Li Jia2Massimo Menenti3Marin Kneib4Pascal Buri5Michael J. McCarthy6Thomas E. Shaw7Wei Yang8Francesca Pellicciotti9State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, SwitzerlandState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, SwitzerlandSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, SwitzerlandSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, SwitzerlandSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, SwitzerlandInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, SwitzerlandGlacier albedo determines the net shortwave radiation absorbed at the glacier surface and plays a crucial role in glacier energy and mass balance. Remote sensing techniques are efficient means to retrieve glacier surface albedo over large and inaccessible areas and to study its variability. However, corrections of anisotropic reflectance of glacier surface have been established for specific shortwave bands only, such as Landsat 5 Thematic Mapper (L5/TM) band 2 and band 4, which is a major limitation of current retrievals of glacier broadband albedo. In this study, we calibrated and evaluated four anisotropy correction models for glacier snow and ice, applicable to visible, near-infrared and shortwave-infrared wavelengths using airborne datasets of Bidirectional Reflectance Distribution Function (BRDF). We then tested the ability of the best-performing anisotropy correction model, referred to from here on as the ‘updated model’, to retrieve albedo from L5/TM, Landsat 8 Operational Land Imager (L8/OLI) and Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, and evaluated these results with field measurements collected on eight glaciers around the world. Our results show that the updated model: (1) can accurately estimate anisotropic factors of reflectance for snow and ice surfaces; (2) generally performs better than prior approaches for L8/OLI albedo retrieval but is not appropriate for L5/TM; (3) generally retrieves MODIS albedo better than the MODIS standard albedo product (MCD43A3) in both absolute values and glacier albedo temporal evolution, i.e., exhibiting both fewer gaps and better agreement with field observations. As the updated model enables anisotropy correction of a maximum of 10 multispectral bands and is implemented in Google Earth Engine (GEE), it is promising for observing and analyzing glacier albedo at large spatial scales.https://www.mdpi.com/2072-4292/13/9/1714glacier surface albedoanisotropy correctionalbedo retrievalremote sensing |
| spellingShingle | Shaoting Ren Evan S. Miles Li Jia Massimo Menenti Marin Kneib Pascal Buri Michael J. McCarthy Thomas E. Shaw Wei Yang Francesca Pellicciotti Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations Remote Sensing glacier surface albedo anisotropy correction albedo retrieval remote sensing |
| title | Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations |
| title_full | Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations |
| title_fullStr | Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations |
| title_full_unstemmed | Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations |
| title_short | Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations |
| title_sort | anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations |
| topic | glacier surface albedo anisotropy correction albedo retrieval remote sensing |
| url | https://www.mdpi.com/2072-4292/13/9/1714 |
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