陆面温度是地气交换过程的一个重要参数,在生态环境研究中应用很广。传统方法只能进行点上的观测和计算,遥感的出现则使得计算区域陆面温度成为可能。ASTER遥感数据具有较高的空间分辨率和光谱分辨率,能够提供比NOAA/AVHRR和Landsat等遥感数据更丰富的陆面信息,有助于提高反演陆面温度的精度。本文以新疆自治区阿瓦提县典型研究区域为例,根据ASTER遥感数据的特点,基于温度/比辐射率分离算法的思想,运用ADE(AlphaDerivedEmissivity)、比值法和MMD(Maximum-MinimumDiffer-ence)三个模块计算陆面温度,并简要分析了模型的主要误差来源。分析结果表明本文所采用的算法是可行的,ASTER遥感数据用于反演陆面温度可以取得比较理想的结果,具有良好的应用前景。

Being used widely in eco-environment study, Land Surface Temperature (LST) is an important parameter for land-air exchange process. Traditional observations and calculations are based on a point, while remote sensing makes it possible to calculate the region LST. At present, most of LST retrieval algorithms are found on Split-Window method with thermal infrared remote sensing data, such as NOAA/AVHRR, MODIS, Landsat TM, and so on. ASTER(Advanced Spaceborne Thermal Emission and Reflection Radiometer) is a comparatively new source of remote sensing data and it is launched in 1999. ASTER has higher spatial and spectral resolution,and provides more detailed information than NOAA/AVHRR, Landsat TM, etc, which helps to improve the precision of LST retrieval. Taking an ASTER remote sensing data of the typical study region at Awati, Xinjiang Province as the data source,based on the methodology of Temperature/Emissivity Separation algorithm, LST is retrieved by using three modules of ADE (Alpha Derived Emissivity), Ratio Method and MMD (Maximum-Minimum Difference). And then, the main error sources of this model are briefly analyzed, which are from theory hypothesis of model, atmosphere effect, emissivity and characteristics of the sensor systems. According to the calculation and analysis, the conclusion is that the advanced Temperature/Emissivity Separation algorithm is effective, and using ASTER data to retrieve LST can obtain more precise results and will have a perspective future.