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机构地区:[1]北京大学遥感与地理信息系统研究所,北京100871
出 处:《高技术通讯》2014年第9期915-921,共7页Chinese High Technology Letters
基 金:国家支撑计划重点项目(2012BAH27B02;2012BAH27B03);新疆兵团(2014AB021)资助项目
摘 要:利用分层积雪微波辐射模型(MEMLS)和积雪先验知识建立了新疆地区冬季雪深与特定微波频率通道亮温差(BTD)之间的查找表,并针对不同的地形以及坡向因素对积雪参数进行了修正以提高MEMLS输出精度。然后利用先进微波扫描辐计2(AMSR2)被动微波遥感数据反演了2013年1月和2014年1月整个新疆地区的每日积雪深度信息,并使用气象台站的观测数据以及实地测量数据进行精度验证。结果表明,该模型对雪深的估算精度要优于常用的Chang模型,可较好地用于反演新疆地区的积雪深度信息。Based on a microwave emission model of layered snowpacks (MEMLS) a lookup table approach was created between the winter snow depth and and a priori knowledge of snowpacks, the brightness temperature difference (BTD) of two specialized microwave frequency channels in Xinjiang area. Topographic and slope modifications were then applied to the snow parameters such as particle size, snow density and temperature, to improve the MEMLS. The method was then used to derive the daily snow depth in January of the years of 2013 and 2014 in Xinjiang area from the advanced microwave scanning radiometer (AMSR) 2 data. After that the observatory data from the weather station and in-situ measurements of snow parameters in the same time period were utilized to validate the modeled snow depth data. The result shows that the estimation of the snow depth using the proposed approach is better than that using the well known Chang algorithm, thus the proposed approach is applicable for the snow depth inversion in Xinjiang region.
关 键 词:分层积雪微波辐射模型(MEMLS) 先进微波扫描辐射计(AMSR) 雪深 查找表 亮温差(BTD)
分 类 号:P407[天文地球—大气科学及气象学]
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