A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields
As a major crop type in the global agroecosystem, paddy rice fields contribute to global greenhouse gas emissions. Surface albedo plays a vital role in estimating carbon emissions. However, it is difficult to find a broadband albedo estimation over paddy rice fields. The objective of this study was...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/20/5185 |
| _version_ | 1797470120980774912 |
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| author | Tao Sun Hongliang Fang Liding Chen Ranhao Sun |
| author_facet | Tao Sun Hongliang Fang Liding Chen Ranhao Sun |
| author_sort | Tao Sun |
| collection | DOAJ |
| description | As a major crop type in the global agroecosystem, paddy rice fields contribute to global greenhouse gas emissions. Surface albedo plays a vital role in estimating carbon emissions. However, it is difficult to find a broadband albedo estimation over paddy rice fields. The objective of this study was to derive an applicable method to improve albedo estimation over a paddy rice field. Field multiangle reflectance and surface albedo were collected throughout the growing season. A physically based model (AMBRALS) was utilized to reconstruct the directional reflectance into the spectral albedo. Multiple spectral albedos (at the wavelengths of 470, 550, 660, 850, 1243, 1640 and 2151 nm) were calculated, and new narrowband to broadband conversion coefficients were derived between the observed spectral albedo and broadband albedo. The conversion schemes showed high consistency with the field albedo observations in the shortwave (285–3000 nm), infrared (700–3000 nm), and visible (400–700 nm) bands. This method can help improve albedo estimation in partially submerged environments. |
| first_indexed | 2024-03-09T19:32:15Z |
| format | Article |
| id | doaj.art-f9c796ceca764ecea1098cfc3834f66c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T19:32:15Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f9c796ceca764ecea1098cfc3834f66c2023-11-24T02:20:47ZengMDPI AGRemote Sensing2072-42922022-10-011420518510.3390/rs14205185A Method to Estimate Clear-Sky Albedo of Paddy Rice FieldsTao Sun0Hongliang Fang1Liding Chen2Ranhao Sun3State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaAs a major crop type in the global agroecosystem, paddy rice fields contribute to global greenhouse gas emissions. Surface albedo plays a vital role in estimating carbon emissions. However, it is difficult to find a broadband albedo estimation over paddy rice fields. The objective of this study was to derive an applicable method to improve albedo estimation over a paddy rice field. Field multiangle reflectance and surface albedo were collected throughout the growing season. A physically based model (AMBRALS) was utilized to reconstruct the directional reflectance into the spectral albedo. Multiple spectral albedos (at the wavelengths of 470, 550, 660, 850, 1243, 1640 and 2151 nm) were calculated, and new narrowband to broadband conversion coefficients were derived between the observed spectral albedo and broadband albedo. The conversion schemes showed high consistency with the field albedo observations in the shortwave (285–3000 nm), infrared (700–3000 nm), and visible (400–700 nm) bands. This method can help improve albedo estimation in partially submerged environments.https://www.mdpi.com/2072-4292/14/20/5185surface albedopaddy riceagricultural ecosystemGHG |
| spellingShingle | Tao Sun Hongliang Fang Liding Chen Ranhao Sun A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields Remote Sensing surface albedo paddy rice agricultural ecosystem GHG |
| title | A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields |
| title_full | A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields |
| title_fullStr | A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields |
| title_full_unstemmed | A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields |
| title_short | A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields |
| title_sort | method to estimate clear sky albedo of paddy rice fields |
| topic | surface albedo paddy rice agricultural ecosystem GHG |
| url | https://www.mdpi.com/2072-4292/14/20/5185 |
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