Publication Details

Category Text Publication
Reference Category Journals
DOI 10.3390/rs14215320
Licence creative commons licence
Title (Primary) Evaluation of the Landsat-8 albedo product across the circumpolar domain
Author Erb, A.M.; Li, Z.; Sun, Q.; Paynter, I.; Wang, Z.; Schaaf, C.
Source Titel Remote Sensing
Year 2022
Department RS
Volume 14
Issue 21
Page From art. 5320
Language englisch
Topic T5 Future Landscapes
Keywords albedo; Landsat; Arctic; boreal; circumpolar
Abstract Land surface albedo plays an extremely important role in the surface energy budget, by determining the proportion of incoming solar radiation, which is available to drive photosynthesis and surface heating, and that which is reflected directly back to space. In northern high latitude regions, the albedo of snow-covered vegetation and open, leafless forest canopies in winter, is quite high, while the albedo of boreal evergreen conifers can either be quite low (even with extensive snow lying under the canopy) or rather bright depending on the structure and density of the canopy. Here, we present the further development and evaluation of a 30 m Landsat albedo product, including an operational blue-sky albedo product, for application in the circumpolar domain. The surface reflectances from the Landsat satellite constellation are coupled with surface anisotropy information (Bidirectional Reflectance Distribution Function, BRDF) from the MODerate-resolution Imaging Spectroradiometer (MODIS). The product is extensively validated across diverse land cover and conditions and performs well with root mean squared error of 0.0395 and negligible bias when compared to coincident tower-based albedo measurements. The development of this Landsat albedo products allows for better capture of ephemeral, heterogeneous and dynamic surface conditions at the landscape scale across the circumpolar domain.
Persistent UFZ Identifier
Erb, A.M., Li, Z., Sun, Q., Paynter, I., Wang, Z., Schaaf, C. (2022):
Evaluation of the Landsat-8 albedo product across the circumpolar domain
Remote Sens. 14 (21), art. 5320