遥感估算热惯量研究的回顾与展望

热惯量是影响地表温度变化的一个重要因子，随着热红外数据反演地表温度算法的不断完善，遥感技术已 成为估算热惯量的主要手段。本文回顾了近些年来遥感估算热惯量研究的进展，对其中3 种主要方法即地表温度 日较差法、日出日落温差法及模型反演法进行了评述，重点讨论了地表温度日较差估算热惯量方法，并提出从加强 机理研究、尺度转换及采用多时相多光谱数据等方面进一步完善遥感估算热惯量方法、提高其估算精度的设想。

Estimation of Thermal Iner tia from Remotely Sensed Data: Cur r ent Status and Futur e Per spective

Thermal inertia is one of the important factors affecting surface temperature change and can be used in several disciplines for such purposes as discrimination of geologic materials, soil moisture determination, identification of crop stress in moisture deficient areas et al. With the advancement of the algorithms to retrieve land surface temperature from thermal infrared data, accurately to estimate thermal inertia from satellite data. This paper reviews the main algorithms and approaches estimate the thermal inertia from thermal satellite data, including method of day/night temperature difference, method of temperature difference between sunset and sunrise and method using the model inversion. Among these methods, the method of day/night temperature difference is analyzed in more detail. On the basis of the comprehensive analysis and review of the advantages and disadvantages of each method, this paper put forward some research directions in the future to improve the accuracy of thermal inertia estimated from space, including mechanism research, scale proplem and use of multi-temporal and multi-spectral data.