二向反射分布函数（BRDF）和反照率（Albedo）描述了地表反射特性，是全球变化和能量平衡的关键参数。作为亚洲水塔的青藏高原，既对全球气候变化有重要影响，同时又对全球气候变化的响应也最为敏感，获取高质量的BRDF/反照率对其气候变化研究具有重要意义。青藏高原具有多云、多冰雪覆盖、地形起伏复杂等特点，致使目前的针对平坦植被覆盖地表的BRDF/反照率模型算法难以满足应用需求。项目拟以冰雪辐射传输模型为基础发展适宜冰雪反演的BRDF核驱动模型；通过等效坡面思想耦合地形因子校正地形影响；协同极轨和静止卫星（如FY、Terra\Auqa、NPP、H8等）发展基于多因子质量控制的反演算法，缩短BRDF合成周期并增强时空连续性；开展野外多尺度遥感试验和收集已有观测数据，评估模型并验证反演精度。为青藏高原地区的BRDF/反照率反演提供有效的高精度模型算法。

BRDF（Bi-directional reflectance distribution function）and albedo are key parameters to describe the land surface reflectance characteristics. As the Asian water tower, Tibetan Plateau impacts the global climate seriously, and meanwhile is affected by the global warming obviously. It’s important to provide BRDF/Albedo of high quality for the global change study for Tibetan Plateau. However, this area is facing the challenges from cloudy，snow-frequently-covered cases, and topographic effects, which make the current BRDF/Aledo models and algorithms developed for flat and vegetated area unfeasible for such complex terrain. Thus, this study is to develop a snow cover BRDF kernel model based on the snow radiative transfer model, to couple the sub-pixels’ topographic effects through equivalent slope theory, to design multi-factor-quality-controlled retrieval algorithm combing multi-sensory data like FY series, Terra\Aqua, NPP, H8 et al. to obtain higher-temporal-resolution BRDF/Albedo with good temporal-spatial continuity，and finally, to evaluate the BRDF model and validate the retrieval accuracy. It’s promising to propose a BRDF/Albedo model feasible for the complex land surface in Tibetan plateau.