The construction and application of the AMSR-E global microwave emissivity database

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Lijuan, Shi^1,2,3 ; Yubao, Qiu^2,3 ; Jingjing, Niu^2,3 ; Wenbo, Wu^1

School of Geomatics, Liaoning Technical University, Fuxin, China^1

Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, China^2

Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China^3

关键词: Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E);    Brightness temperatures;    General circulation model;    Geophysical modeling;    Geophysical parameters;    Land surface temperature;    Microwave emissivity;    Temperature humidity;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012250/pdf
DOI  :  10.1088/1755-1315/17/1/012250

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Land surface microwave emissivity is an important parameter to describe the characteristics of terrestrial microwave radiation, and is the necessary input amount for inversion various geophysical parameters. We use brightness temperature of the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) and synchronous land surface temperature and atmospheric temperature-humidity profile data obtained from the MODIS which aboard on satellite AQUA the same as AMSR-E, to retrieved microwave emissivity under clear sky conditions. After quality control, evaluation and design, the global microwave emissivity database of AMSR-E under clear sky conditions is established. This database include 2002-2011 years, different regions, different surface coverage, dual-polarized, 6.9,10.65, 18.7, 23.8, 36.5 and 89GHz, ascending and descending orbit, spatial resolution 25km, global 0.05 degrees, instantaneous and half-month averaged emissivity data. The database can provide the underlying surface information for precipitation algorithm, water-vapor algorithm, and long-resolution mode model (General Circulation Model (GCM) etc.). It also provides underlying surface information for the satellite simulator, and provides basic prior knowledge of land surface radiation for future satellite sensors design. The emissivity database or the fast emissivity obtained can get ready for climate model, energy balance, data assimilation, geophysical model simulation, inversion and estimates of the physical parameters under the cloud cover conditions.