Global Land Surface Microwave Emissivity Dataset from AMSR-E (2002.6~2011.10)

Earth surface microwave emissivity, representing the capacity of the earth's surface emitting microwave radiation outwards, is one of the key physical quantities of microwave radiometric characteristics for earth surface. Satellite-borne passive microwave emissivity shows an overall and macroscopic expression of the surface microwave radiation on a large scale. It is important basic data for empirical parameterization acquisition in the geophysical parameters quantitative inversion from passive microwave observations, and also an approach of understanding the land surface microwave radiation on a large scale. Considering the synchronous observation characteristic of the Advanced Microwave Scanning Radiometer (AMSR-E) and Moderate Resolution Imaging Spectroradiometer (MODIS) mounted on the AQUA satellite, taking surface temperature and atmospheric water vapor data from MODIS as input data, this data set produced multi-channel microwave instantaneous emissivity through the emissivity estimation model during the operating cycle (June 2002 - October 2011) of AMSR-E sensor under the global clear-sky condition. The results obtained from inter-comparison, statistical analysis and the validation analysis from the frequency dependence and the correlation under different land covers indicate that, the dynamic range of instantaneous emissivity is larger, data precision satisfies the application requirement with an accuracy of 0.02, and the spatial and temporal variation, frequency dependence and correlation are in consistence with the understanding of natural physical geography process. The dataset, which includes daily, five-day, ten-day, semi-monthly and monthly global land surface products within the AMSR-E full life span, may be used in the inversion of satellite borne passive microwave remote sensing simulation, land surface model, land surface temperature, snow parameters, precipitation, water vapor and perceptible water content etc. Note: The data process algorithm and assessment should be referenced through paper : "Qiu Yubao, Guo Huadong, Shi Lijuan, etal. Global Land Surface Emissivity Dataset based on AMSR-E Observations[J]. Remote Sensing Technology and Application, 2016, 31(4):811-821.", the data may also be cited through the "http://westdc.westgis.ac.cn/data/eb91b563-dfff-4060-ac5a-1088a993ebb9".