【摘要】 劈窗算法是目前由热红外遥感数据获取陆面温度的主要方法。在介绍劈窗算法的一般表现形式的基础上,我们推导出适合于MODIS影像数据的劈窗算法。大气透过率和地表比辐射率是求解地表温度的两个关键参数。由于MODIS图像分辨率较低,MODIS像元主要由水面、植被和裸土3种地物类型构成,故可依据这3种地物的构成比例确定地表比辐射率。从遥感影像上反演大气的水汽含量,再根据大气水汽含量与大气透过率的关系计算出大气透过率。最后将文中推导的劈窗算法用于江苏省地表温度的反演。反演出来的地表温度图显示出明显的地表温度空间差异、城市热岛效应和不同的地物类型。更多还原

【Abstract】 Split-window algorithm is the main method to retrieve the LST by thermal infrared data. In this paper, we deduce a new Split-window algorithm which can be used to retrieve LST by using MODIS data on the basis of the common form of split window algorithm. Land surface emissivity and atmospheric transmittance are the two key parameters which are used to retrieve LST. As MODIS image has the lower resolution and vegetation, soil and water are the main three ingredients for MODIS image, we can estimate the land surface emissivity according to the ratio of three ingredients. We can estimate the atmospheric transmittance on the basis of the relationship between atmospheric transmittance and water content. At last we use this new Split-window algorithm to retrieve LST in JiangSu, and the graph of LST indicate the space difference, urban heat islaud effect and different ground object types.更多还原