中文摘要：

雪粒径是影响雪面能量收支和表征积雪状态的重要参数,利用遥感手段定量反演雪粒径信息对雪水当量估算、流域水资源管理和局地气候变化研究等具有重要意义.针对新疆玛纳斯河流域山区积雪表层粒径地遥感反演,以渐近式辐射传输模型为基础建立雪粒径反演模型,利用HJ-1卫星多光谱数据得到玛纳斯河流域山区冬季积雪期和春季融雪期的雪粒径反演结果,并利用地面实测数据对反演结果进行验证,最后分析雪粒径随海拔的分布特征.结果表明：建立的雪粒径反演模型能够较好地描述雪粒径与卫星遥感信号间的定量关系;雪粒形状对反演结果影响较大,当选择适当的雪粒形状时,雪面粒径反演值与实测值较为吻合;海拔对雪面粒径的分布影响较大.

英文摘要：

Snow grain size is a key parameter to control the snow surface energy balance and represent the state of snow.The quantitative retrieval of surface snow grain size using remote sensing techniques is significant to many researches on the estimation of snow water equivalent,basin water resources management and local climate change.In this study i）a snow grain size retrieval model was developed based on Asymptotic Radiative Transfer（ART）modelfor the mountainous areas in Manasi River Basin,Xinjiang Province;ii）the snow grain size in both winter snow accumulating and spring snow melting periods was obtained using the multi-spectral observations from the environment and disaster monitoring and forecasting satellite（HJ-1）;iii）the retrieval results were validated using the ground sampling data;and iv）the grain size distribution in altitude was analyzed.The results indicate that the developed model could accurately describe the relationship between snow grain size and remote sensing data,the snow grain shape has a considerable impact on the retrieval accuracy that retrieved snow grain size has a good agreement with ground measurements only when proper snow grain shape was considered in the model,and the distribution of snow grain size is dependent significantly on altitude.