Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data
The land surface albedo (LSA) represents the ability of the land surface to reflect solar radiation. It is one of the driving factors in the energy balance of land surface radiation and in land–air interactions. In this paper, we estimated the land surface albedo based on GF-1 WFV satellite data tha...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/13/10/1651 |
| _version_ | 1827651773975756800 |
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| author | Zhe Wang Hongmin Zhou Wu Ma Wenrui Fan Jindi Wang |
| author_facet | Zhe Wang Hongmin Zhou Wu Ma Wenrui Fan Jindi Wang |
| author_sort | Zhe Wang |
| collection | DOAJ |
| description | The land surface albedo (LSA) represents the ability of the land surface to reflect solar radiation. It is one of the driving factors in the energy balance of land surface radiation and in land–air interactions. In this paper, we estimated the land surface albedo based on GF-1 WFV satellite data that have a high spatial and temporal resolution and cross-validated the albedo estimation results. The albedo estimations and validations were performed in the Ganzhou District, Zhangye City, China, and the Sindh Province, Pakistan. We used the direct estimation method which used a radiative transfer simulation to establish the relationship between the narrow band top of the atmosphere bidirectional reflectance and the land broadband albedo to estimate the albedo data. The results were validated with ground data, Landsat data, MODIS products, and GLASS products. The results show that the method can produce highly accurate albedo estimation results on different land cover types (RMSE: 0.026, R<sup>2</sup>: 0.835) and has a good consistency with the existing albedo products. This study makes a significant contribution to improving the utilization of GF data and contributes to the understanding of land–air interactions. |
| first_indexed | 2024-03-09T20:44:17Z |
| format | Article |
| id | doaj.art-f8099bbd0a9b4fa89a3bf9f228741cd6 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T20:44:17Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-f8099bbd0a9b4fa89a3bf9f228741cd62023-11-23T22:51:36ZengMDPI AGAtmosphere2073-44332022-10-011310165110.3390/atmos13101651Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV DataZhe Wang0Hongmin Zhou1Wu Ma2Wenrui Fan3Jindi Wang4State Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, BNU, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, BNU, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, BNU, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, BNU, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, BNU, Beijing 100875, ChinaThe land surface albedo (LSA) represents the ability of the land surface to reflect solar radiation. It is one of the driving factors in the energy balance of land surface radiation and in land–air interactions. In this paper, we estimated the land surface albedo based on GF-1 WFV satellite data that have a high spatial and temporal resolution and cross-validated the albedo estimation results. The albedo estimations and validations were performed in the Ganzhou District, Zhangye City, China, and the Sindh Province, Pakistan. We used the direct estimation method which used a radiative transfer simulation to establish the relationship between the narrow band top of the atmosphere bidirectional reflectance and the land broadband albedo to estimate the albedo data. The results were validated with ground data, Landsat data, MODIS products, and GLASS products. The results show that the method can produce highly accurate albedo estimation results on different land cover types (RMSE: 0.026, R<sup>2</sup>: 0.835) and has a good consistency with the existing albedo products. This study makes a significant contribution to improving the utilization of GF data and contributes to the understanding of land–air interactions.https://www.mdpi.com/2073-4433/13/10/1651GF-1land surface albedocross validation |
| spellingShingle | Zhe Wang Hongmin Zhou Wu Ma Wenrui Fan Jindi Wang Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data Atmosphere GF-1 land surface albedo cross validation |
| title | Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data |
| title_full | Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data |
| title_fullStr | Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data |
| title_full_unstemmed | Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data |
| title_short | Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data |
| title_sort | land surface albedo estimation and cross validation based on gf 1 wfv data |
| topic | GF-1 land surface albedo cross validation |
| url | https://www.mdpi.com/2073-4433/13/10/1651 |
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