鍏抽敭璇�: 閬ユ劅澶ф暟鎹�, 鍦拌〃鍙嶇収鐜�, 鍦熷湴鍒╃敤绫诲瀷, 杩戠孩澶�, 鍙鍏�

Abstract: The change of surface albedo directly affects the radiation balance and surface heat budget锛宐ut it is limited by the lack of temporal and spatial discontinuity of remote sensing inversion data锛宼he analysis of surface albedo on large-scale areas still faces many uncertainties.Moreover锛宼he current researchesalways focus on short-wave albedo and few studies on surface albedo involving the visible and near-infrared bands.Select surface albedo data of 2000~2015 remote sensing inversion and land use data for 2000 and 2015锛宼he classical statistical method was used to analyze the characteristics of surface albedo of different land use types and their inter-annual variation trend.Provide a scientific basis for understanding the albedo characteristics of land use types锛宼he physical processes of the relevant spectral splitting variables of energy modules in cognitive regional climates or land surface models.The results show that different land use types have different surface albedo characteristics锛宎nd the difference in surface albedo of the same land use type even exceeds the difference between different types of land use types锛宨ndicating the spatial heterogeneity of the surface albedo sexuality.Most land use types meet the surface albedo of short-wave total radiation and spectral radiation锛� near-infrared>short-wave>visible锛宨ndicating that the upper limit of short-wave surface albedo depends more on the surface albedo in the near-infrared.During the period锛宼he albedo of each land use type showed different trends in the three bands锛宐ut the annual inter-annual rate of surface albedo of most land use types was relatively small and remained basically stable.

Key words: Remote sensing big data, Albedo, Land use types, Near-infrared, Visible light