SONG Ting, DUAN Zheng, LIU Junzhi, et al. Comparison of four algorithms to retrieve land surface temperature using Landsat 8 satellite[J]. Journal of Remote Sensing, 2015,19(3):451-464.
SONG Ting, DUAN Zheng, LIU Junzhi, et al. Comparison of four algorithms to retrieve land surface temperature using Landsat 8 satellite[J]. Journal of Remote Sensing, 2015,19(3):451-464. DOI: 10.11834/jrs.20154180.
Land Surface Temperature( LST) plays an important role in energy exchange between the land surface and the atmosphere. LST is a key variable in many applications
such as land surface modeling. Many satellite-based algorithms have been proposed to retrieve LST
such as Split-Window( SW)
dual-angle
and single-channel algorithms. In this study
four satellitebased LST retrieval algorithms
including two SW algorithms( Juan C. Jiménez-Muoz and Offer Rozenstein SW algorithms) and two mono-window algorithms( Juan C. Jiménez-Muoz and Qin Zhihao mono-window algorithms)
were compared with Landsat-8satellite data over the region around Wuxi City. The accuracy of the four algorithms was evaluated against the ground measurements from 16 floating stations over Lake Tai. The results showed that the performance of the two SW algorithms
which have an average error of 0. 7 K
was better than that of the SW algorithms
which have an average error of 1. 3—1. 4 K
when compared with ground measurements. The sensitivity analysis of these algorithms showed that the Juan C. Jiménez-Muoz SW algorithm was the least sensitive to key input parameters( emissivity and water vapor)
whereas the Offer Rozenstein SW algorithm and the Qin Zhihao mono-window algorithm showed high sensitivity to input parameters. The limitations of these four LST retrieving algorithms were also discussed.
关键词
陆地表面温度Landsat 8劈窗算法单窗算法热红外
Keywords
land surface temperatureLandsat 8split-window algorithmmono-window algorithmthermal infrared