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• W1832391520 endingPage "10972" @default.
• W1832391520 startingPage "10951" @default.
• W1832391520 abstract "Land 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)." @default.
• W1832391520 created "2016-06-24" @default.
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• W1832391520 date "2015-08-24" @default.
• W1832391520 modified "2023-09-26" @default.
• W1832391520 title "A Method for Retrieving Daily Land Surface Albedo from Space at 30-m Resolution" @default.
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• W1832391520 doi "https://doi.org/10.3390/rs70810951" @default.
• W1832391520 hasPublicationYear "2015" @default.
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