We utilize the operational MODIS BRDF products to create spatially and
temporally complete bases. Although a nine-year record of global BRDFs
from NASA's Terra and Aqua satellites now exists, its inclusion in
regional and global models has been limited by the extensive data-gaps
caused by persistent clouds and ephemeral snow cover. This research
focuses on bridging the gaps in the MODIS BRDF products, which is
achieved by applying rigorous temporal interpolation techniques based on
vegetation development curves. Comparison of the resulting MODIS BRDF
products with the direct BRDF retrievals from the POLDER-3 sensor shows
a very good linear relationship between these two remotely sensed
products. This resulting consistent, high-quality, long-term reflectance
anisotropy databases will benefit the regional and global modeling and
monitoring communities.