地表温度是多种地表过程模型的输入参数,遥感反演地表温度是估算区域及全球尺度上地表辐射平衡和能量收支的关键手段。对遥感地表温度开展真实性检验有利于客观评价其精度和稳定性,对遥感地表温度的反演及应用都具有重要意义。简单回顾了通过遥感手段反演地表温度的基本原理和常用方法。回顾并分析了基于实测地表温度的检验方法、基于辐亮度的检验方法、交叉比较以及时间序列分析4种典型地表温度真实性检验方法的优缺点。在此基础上,重点总结了地表温度直接检验方法中地面观测数据获取方法、检验对象,分析了直接检验中的不确定来源。最后,对地表温度真实性检验中存在的问题进行了讨论。
Land Surface Temperature (LST) is an important input parameter for many land surface models. Retrieving LST from remote sensing is the main approach for modelling the radiance balance and energy budget at both regional and global scales. Validation of remotely sensed LST is helpful to evaluate its accuracy and stability. Furthermore, it is meaningful for the retrieval and application of remotely sensed LST. Here, first, theories and methods of LST retrieval were reviewed. Second, four validation methods, including the Temperature-based (T- based) , Radiance-based (R-based) , cross comparison and Time-series analysis, were reviewed and compared. An in-depth examination was conducted for the T-based method from the aspects including the approaches for acquiring the ground truth value, the target LST products, the uncertainty sources. Finally, some important issues in LST validation were discussed.