The Multi-Angular and Multi-Band model for BRDF and albedo retrieval

Land surface albedo is critical in earth radiation budget and global climate monitoring. At present, models and algorithms for land-surface albedo retrieval from diverse satellites have been well developed. However, limited sampling angles from mono-sensor and coarse temporal resolution restrict the further promotion and application of albedo. Multi-sensor observations offer more information of land surface anisotropy and result in multi-angular, multi-spectral, high temporal resolution measurements. Modeling BRDF and albedo with multi-sensor data presents a unique opportunity to improve the temporal resolution and recover the consistency of surface albedo. This paper proposes a novel Multi-Angular and Multi-Band inversion model for BRDF and albedo retrieval with multiple sensors. The preliminary result based on MODIS and AVHRR band reflectance indicates that the model could obtain higher temporal resolution albedo with the same or even higher accuracy when compared with MCD43B3 albedo product.