High resolution albedo estimation with Chinese GF-1 WFV data

Abstract

Land surface albedo (LSA) is an important parameter charactering the land surface energy balance. The prevailing LSA products have supplied a well understanding of the global weather change but for regional use, it is difficult to capture the patch-size change induced by human activities. In this paper, we estimate the high resolution LSA from GF-1 WFV data based on a direct estimation algorithm. Results compared with field observation indicate that the estimation accuracy is high with the coefficient of determination of 0.705 and Bias of 0.008. When compared with Landsat LSA data, a high consistency is performed, the coefficients of determination for black and white sky albedo are 0.943 and 0.941 respectively.