基于多源卫星遥感及地面观测数据的日雪深生成方法研究（英文）

编号 zgly0001584833

文献类型 期刊论文

文献题名 基于多源卫星遥感及地面观测数据的日雪深生成方法研究（英文）

作者 曹广真  侯鹏  郑照军  唐世浩 

作者单位 KeyLaboratoryofRadiometricCalibrationandValidationforEnvironmentalSatellites  ChinaMeteorologicalAdministration  SatelliteEnvironmentCenter  MinistryofEnvironmentalProtection 

母体文献 Journal of Geographical Sciences 

年卷期 2015年10期

年份 2015 

分类号 P412  P426.635 

关键词 datafusion  dailysnowdepth  multi-sourcesatelliteimages  passivemicrowaveremotesensing  IMS  insituobservations 

文摘内容 Snow depth(SD) is a key parameter for research into global climate changes and land surface processes. A method was developed to obtain daily SD images at a higher 4 km spatial resolution and higher precision with SD measurements from in situ observations and passive microwave remote sensing of Advanced Microwave Scanning Radiometer-EOS(AMSR-E) and snow cover measurements of the Interactive Multisensor Snow and Ice Mapping System(IMS). AMSR-E SD at 25 km spatial resolution was retrieved from AMSR-E products of snow density and snow water equivalent and then corrected using the SD from in situ observations and IMS snow cover. Corrected AMSR-E SD images were then resampled to act as virtual in situ observations to combine with the real in situ observations to interpolate at 4 km spatial resolution SD using the Cressman method. Finally, daily SD data generation for several regions of China demonstrated that the method is well suited to the generation of higher spatial resolution SD data in regions with a lower Digital Elevation Model(DEM) but not so well suited to regions at high altitude and with an undulating terrain, such as the Tibetan Plateau. Analysis of the longer time period SD data generation for January between 2003 and 2010 in northern Xinjiang also demonstrated the feasibility of the method.