A Method for Retrieving Daily Land Surface Albedo from Space at 30-m Resolution
AbstractLand surface albedo data with high spatio-temporal resolution are increasingly important for scientific studies addressing spatially and/or temporally small-scale phenomena, such as urban heat islands and urban land surface energy balance. Our previous study derived albedo data with 2–4-day and 30-m temporal and spatial resolution that have better spatio-temporal resolution than existing albedo data, but do not completely satisfy the requirements for monitoring high-frequency land surface changes at the small scale. Downscaling technology provides a chance to further improve the albedo data spatio-temporal resolution and accuracy. This paper introduces a method that combines downscaling technology for land surface reflectance with an empirical method of deriving land surface albedo. Firstly, downscaling daily MODIS land surface reflectance data (MOD09GA) from 500 m to 30 m on the basis of HJ-1A/B BRDF data with 2–4-day and 30-m temporal and spatial resolution is performed: this is the key step in the improved method. Subsequently, the daily 30-m land surface albedo data are derived by an empirical method combining prior knowledge of the MODIS BRDF product and the downscaled daily 30-m reflectance. Validation of albedo data obtained using the proposed method shows that the new method has both improved spatio-temporal resolution and good accuracy (a total absolute accuracy of 0.022 and a total root mean squared error at six sites of 0.028). View Full-Text
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Gao, B.; Gong, H.; Wang, T. A Method for Retrieving Daily Land Surface Albedo from Space at 30-m Resolution. Remote Sens. 2015, 7, 10951-10972.
Gao B, Gong H, Wang T. A Method for Retrieving Daily Land Surface Albedo from Space at 30-m Resolution. Remote Sensing. 2015; 7(8):10951-10972.Chicago/Turabian Style
Gao, Bo; Gong, Huili; Wang, Tianxing. 2015. "A Method for Retrieving Daily Land Surface Albedo from Space at 30-m Resolution." Remote Sens. 7, no. 8: 10951-10972.