一种基于ASTER数据的陆面温度反演方法

陆面温度是地表物体热红外辐射的综合定量形式,是地表热量平衡的结果。陆面温度作为一个重要的基本参数已广泛用于相关模型的计算及生态环境等领域的研究。ASTER数据具有较高的空间分辨率与光谱分辨率,可提供比陆地卫星、NOAA/AVHRR等常见卫星数据更丰富的地表信息,有助于提高陆面温度的反演精度。根据温度/比辐射率分离(TES)的思想,基于ASTER热红外数据的特性,获取了一种反演陆面温度的方法,并以长白山为例进行了试验。结果表明,所用的方法仅依赖ASTER遥感数据便可快速获取地面温度的空间分布特征,对自然地表可取得比较理想的结果,具有较好的应用前景。

An Algorithm for Land Surface Temperature Retrieval Based on ASTER Data

Land surface temperature which is a result to thermal balance is a general quantitative form of thermal radiance for land surface objects.It is an important parameter which is widely used to interrelated mode compute and environment researches.ASTER data can provide more land surface information and has higher spatial resolution and spectral resolution than Landsat TM and NOAA/AVHRR data,which can promote the precision of land surface temperature retrieval.The paper constructed an algorithm for land surface temperature retrieval based on the characters of ASTER data from some temperature / emissivity separation(TES) algorithms and tested in Changbai Mountain.According to calculation and analysis,the conclusion is that the algorithm displayed in paper can obtain land surface temperature quickly only rely on ASTER data,and can get reasonable results for natural land surface.It will also have a perspective future.