Inversion land surface temperature by using TM data

Jianmao Guo; Junyi Shi; Xiangyun Han; Tengfei Zheng; Qi Wang

doi:10.1117/12.930428

24 October 2012 Inversion land surface temperature by using TM data

Jianmao Guo, Junyi Shi, Xiangyun Han, Tengfei Zheng, Qi Wang

Proceedings Volume 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX; 85130D (2012) https://doi.org/10.1117/12.930428
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

The land surface temperature (LST) plays an important role in the process of interaction between surface and atmosphere. It is widely need in meteorology, geology, hydrology, ecological and many other fields. This article uses the ETM+ data of February 16th, 2002 and August 27th, 2002, using the single window algorithm to retrieve the LST in the southern area of Gansu province. First step is removing cloud for image. Secondly, classifies the type of surface by dividing into three types of water surface, snow surfaces (winter) and natural surface. Then, estimate the emissivity according to the classification in order to calculate surface temperature. Through the analysis of spatial distribution of land surface temperature in the study area, the result shows QinZhiHao's single window algorithm is consistent with the reality.

Citation Download Citation

Jianmao Guo, Junyi Shi, Xiangyun Han, Tengfei Zheng, and Qi Wang "Inversion land surface temperature by using TM data", Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130D (24 October 2012); https://doi.org/10.1117/12.930428

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