期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2007
卷号：XXXVI-7/C50
出版社：Copernicus Publications
摘要：The Antarctic climate and its temporal variations are not well known because of the sparc ity of meteorological stations. Observations by remote sensing are the only way to bypass this issue and to provide detailed information on the spatial and temporal variability of the Antarctic climate. Our research deals with estimating climatic variables from microwave radiometer observations (SMMR, SSM/I and AMSR-E) as this type of sensors presents strong advantages including: quasi- independence to atmospheric conditions and illumination, availability for nearly 3 decades and strong sensitivity to the variables of interest in climatology, e.g. snow temperature. Estimating snow surface temperature and/or temperature profile from microwave brightness temperature requires knowing snow emissivity and microwave penetration length within the snow with a high accuracy. Empirical approaches consisting in combining brightness temperatures at various frequencies and polariz ations have been inefficient to provide the required accuracy. To tackle this problem, we adopt a complex approach based on physical forward modeling followed by inversion (or data assimilation). This paper presents the forward modeling and the predicted spectral signature (emissivity and penetration length) over Antarctica
