基于ART模型的MODIS积雪反照率反演研究  

Retrieval Snow Albedo Using MODIS based on the ART Model

作　　者：潘海珠[1,2] 王建[1] 李弘毅[1] 

机构地区：[1]中国科学院寒区旱区环境与工程研究所,甘肃兰州730000 [2]中国科学院大学,北京100049

出　　处：《遥感技术与应用》2015年第6期1059-1065,共7页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(41201339);中国科学院西部行动计划项目(KZCX2-XB3-15)资助

摘　　要：积雪反照率是研究局地或全球的能量收支平衡和气候变化中的重要参数,遥感反演为积雪反照率的获取提供了便利的手段。积雪反照率大小主要取决于积雪的自身物理属性(雪粒径、形状和污染物等因子)以及天气状况,遥感反演反照率大多基于双向反射模型(BRDF),积雪BRDF模型常使用积雪辐射传输模型获得。采用考虑了雪粒径、粒子形状以及污染物影响的渐进辐射传输理论(ART)模型,建立了MODIS积雪反照率反演算法,得到了MODIS 8d合成积雪反照率产品。将此算法应用于具有均一积雪地表的格陵兰岛地区,并使用GC-Net实测数据进行了验证,反演的总均方根误差(RMSE)为0.018,相关系数(r)为0.83,结果表明考虑了积雪特性的ART模型能够较好地反演积雪反照率,而且反演需要的参数较少。Snow albedo is an important parameter in the study of local or global energy balance and climate change.The snow physical properties such as particle size shape and the impurities are the key reason that affects the snow albedo.The snow bidirectional reflectance distribution function（BRDF）is the premise in the remote sensing retrieve snow parameters.In this paper,the radiative transfer theory（ART）considers the snow particle size,particle shape and the effect of the impurities which was used to retrieve the snow surface albedo.Base on the ART model,a new MODIS snow albedo retrieval algorithm is developed.Then using the new algorithm to get the MODIS 8-day snow albedo data.Taking the Greenland as a study area,the MODIS surface reflectance data（MOD09）and MODIS snow cover data（MOD10L2G）were acquired.Then the GC-Net in-situ measurements data were used to analyze the evaluation of the retrieval snow albedo.Compared with the snow albedo in-situ data,the root mean square error（RMSE）and correlation coefficient for the new MODIS snow albedo over the Greenland is 0.018 and 0.83.The result shows that the MODIS snow albedo based on the ART model works well and needs less parameter.

关 键 词：渐进辐射传输(ART) MODIS 积雪反照率 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]