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：2008
卷号：XXXVII Part B6b
页码：113-118
出版社：Copernicus Publications
摘要：Surface emissivity is a measure of inherent efficiency of land surface. It is applied to convert heat energy into radiant energy. In this study, an unmixing pixel based algorithm was proposed to compute pixel effective emissivity for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data within Beijing, China. In this paper, vegetation, together with water and 3 kinds of manmade materials surface distribution is estimated through a part constrained linear spectral model after PPI (Purity Pixel Indices) calculated. Sample emissivities presented in this research were extracted from Jet propulsion laboratory (JPL) spectral database. Root Mean Square Error (RSME) results of the whole study area is 0.1012, 0.0952, 0.2178, 0.0941and 0.0951 for ASTER 5 TIR (8.125~11.65μm) bands, respectively. This study suggests that this model is useful for the estimation of land surface emissivity, and it can be used as a rather simple alternative to complex algorithms
