Identifying Spatial and Temporal Characteristics of Land Surface Albedo Using GF-1 WFV Data
Land surface albedo (LSA) is an important parameter that affects surface–air interactions and controls the surface radiation energy budget. The spatial and temporal variation characteristics of LSA reflect land surface changes and further influence the local climate. Ganzhou District, which belongs...
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| Format: | Article |
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MDPI AG
2021-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/20/4070 |
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| author | Zhe Wang Hongmin Zhou Huawei Wan Qian Wang Wenrui Fan Wu Ma Jindi Wang |
| author_facet | Zhe Wang Hongmin Zhou Huawei Wan Qian Wang Wenrui Fan Wu Ma Jindi Wang |
| author_sort | Zhe Wang |
| collection | DOAJ |
| description | Land surface albedo (LSA) is an important parameter that affects surface–air interactions and controls the surface radiation energy budget. The spatial and temporal variation characteristics of LSA reflect land surface changes and further influence the local climate. Ganzhou District, which belongs to the middle of the Hexi Corridor, is a typical irrigated agricultural and desert area in Northwest China. The study of the interaction of LSA and the land surface is of great significance for understanding the land surface energy budget and for ground measurements. In this study, high spatial and temporal resolution GF-1 wide field view (WFV) data were used to explore the spatial and temporal variation characteristics of LSA in Ganzhou District. First, the surface albedo of Ganzhou District was estimated by the GF-1 WFV. Then, the estimated results were verified by the surface measured data, and the temporal and spatial variation characteristics of surface albedo from 2014 to 2018 were analyzed. The interaction between albedo and precipitation or temperature was analyzed based on precipitation and temperature data. The results show that the estimation of surface albedo based on GF-1 WFV data was of high accuracy, which can meet the accuracy requirements of spatial and temporal variation characteristic analysis of albedo. There are obvious geographic differences in the spatial distribution of surface albedo in Ganzhou, with the overall distribution characteristics being high in the north and low in the middle. The interannual variation in annual average surface albedo in Ganzhou shows a trend of slow fluctuations and gradual increases. The variation in annual albedo is characterized by “double peaks and a single valley”, with the peaks occurring from December to February at the end and beginning of the year, and the valley occurring from June to August. Surface albedo was negatively correlated with precipitation and temperature in most areas of Ganzhou. |
| first_indexed | 2024-03-10T06:14:30Z |
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| id | doaj.art-9faaee2f2573405b91bb71ce0d504d46 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T06:14:30Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9faaee2f2573405b91bb71ce0d504d462023-11-22T19:53:42ZengMDPI AGRemote Sensing2072-42922021-10-011320407010.3390/rs13204070Identifying Spatial and Temporal Characteristics of Land Surface Albedo Using GF-1 WFV DataZhe Wang0Hongmin Zhou1Huawei Wan2Qian Wang3Wenrui Fan4Wu Ma5Jindi Wang6School of Surveying & Land Information Engineering, Henan Polytechnic University, Henan 454000, ChinaState Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, BNU, Beijing 100875, ChinaSatellite Environment Center, Ministry of Environmental Protection, Beijing 100094, 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, ChinaLand surface albedo (LSA) is an important parameter that affects surface–air interactions and controls the surface radiation energy budget. The spatial and temporal variation characteristics of LSA reflect land surface changes and further influence the local climate. Ganzhou District, which belongs to the middle of the Hexi Corridor, is a typical irrigated agricultural and desert area in Northwest China. The study of the interaction of LSA and the land surface is of great significance for understanding the land surface energy budget and for ground measurements. In this study, high spatial and temporal resolution GF-1 wide field view (WFV) data were used to explore the spatial and temporal variation characteristics of LSA in Ganzhou District. First, the surface albedo of Ganzhou District was estimated by the GF-1 WFV. Then, the estimated results were verified by the surface measured data, and the temporal and spatial variation characteristics of surface albedo from 2014 to 2018 were analyzed. The interaction between albedo and precipitation or temperature was analyzed based on precipitation and temperature data. The results show that the estimation of surface albedo based on GF-1 WFV data was of high accuracy, which can meet the accuracy requirements of spatial and temporal variation characteristic analysis of albedo. There are obvious geographic differences in the spatial distribution of surface albedo in Ganzhou, with the overall distribution characteristics being high in the north and low in the middle. The interannual variation in annual average surface albedo in Ganzhou shows a trend of slow fluctuations and gradual increases. The variation in annual albedo is characterized by “double peaks and a single valley”, with the peaks occurring from December to February at the end and beginning of the year, and the valley occurring from June to August. Surface albedo was negatively correlated with precipitation and temperature in most areas of Ganzhou.https://www.mdpi.com/2072-4292/13/20/4070spatial and temporal variationsurface albedoGF-1 WFVprecipitationtemperatureurban land study |
| spellingShingle | Zhe Wang Hongmin Zhou Huawei Wan Qian Wang Wenrui Fan Wu Ma Jindi Wang Identifying Spatial and Temporal Characteristics of Land Surface Albedo Using GF-1 WFV Data Remote Sensing spatial and temporal variation surface albedo GF-1 WFV precipitation temperature urban land study |
| title | Identifying Spatial and Temporal Characteristics of Land Surface Albedo Using GF-1 WFV Data |
| title_full | Identifying Spatial and Temporal Characteristics of Land Surface Albedo Using GF-1 WFV Data |
| title_fullStr | Identifying Spatial and Temporal Characteristics of Land Surface Albedo Using GF-1 WFV Data |
| title_full_unstemmed | Identifying Spatial and Temporal Characteristics of Land Surface Albedo Using GF-1 WFV Data |
| title_short | Identifying Spatial and Temporal Characteristics of Land Surface Albedo Using GF-1 WFV Data |
| title_sort | identifying spatial and temporal characteristics of land surface albedo using gf 1 wfv data |
| topic | spatial and temporal variation surface albedo GF-1 WFV precipitation temperature urban land study |
| url | https://www.mdpi.com/2072-4292/13/20/4070 |
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