Publications

Han, Y; Wen, JG; You, DQ; Xiao, Q; Liu, GK; Tang, Y; Piao, S; Liu, QH (2025). Estimating Diurnal Variation of Snow-Free Land Surface Albedo Over Sloping Terrain From High-Resolution Satellite Data. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 63, 4404413.

Abstract
The diurnal variation of high spatial resolution albedo is crucial for understanding the energy budget over mountainous areas. Topography significantly affects the diurnal variation of albedo, making its accurate estimation challenging. In this study, we propose a novel algorithm for estimating the diurnal variation of albedo over sloping terrain using high-resolution satellite data. The diurnal variation of albedo is represented as the product of instantaneous albedo at the time of satellite overpass and a diurnal variation factor. Instantaneous albedo is derived from Landsat data and prior BRDF information from the Polarization and Directionality of the Earth's Reflectances (POLDER) database. The diurnal variation factor is calculated using a fine-scale digital elevation model (DEM) and prior BRDF information, capturing the shape of diurnal variation. Validation against in situ measurements demonstrates the algorithm's high accuracy (R-2 = 0.902 and root-mean-square error (RMSE) = 0.029). In addition, this study examines the differences in the diurnal variation patterns between horizontal/horizontal sloped albedo (HHSA) and inclined/inclined sloping surface albedo (IISA). The results reveal a notable difference between the two: diurnal variation of HHSA is more sensitive to topography, showing a J-shaped pattern, whereas that of IISA consistently follows a U-shaped pattern, better reflecting the sloping surface properties.

DOI:
10.1109/TGRS.2025.3536031

ISSN:
1558-0644