Abstract：Being simple and effective, the split-window algorithm based on thermal infrared remote sensing is widely used to retrieve surface temperature. The method mainly uses thermal infrared bands in 10~13.3 μm(1 000~750 cm-1) range, neglecting bands in 8~9.09 μm (1 250~1 100 cm-1) range. This paper analyzes the process of deriving the formula of the split-window algorithm, summarizes the problems associated with the channel setting and makes numerical simulation analysis in the 10~13.3 μm (1 000~750 cm-1) and 8~9.09 μm (1 250~1 100 cm-1) ranges to solve the problems. The results show that split-window algorithm derived on the basis of this approach has similar performance in both 10~13.3 μm (1 000~750 cm-1) and 8~9.09 μm (1 250~1 100 cm-1) spectral ranges. Therefore, it can be concluded that the spectral range in 8~9.09 μm (1 250~1 100 cm-1) range can also be used to derive split-window algorithm for thermal remote sensing.
孟鹏, 胡勇, 巩彩兰, 栗琳. 用劈窗算法反演地表温度的通道问题讨论[J]. 国土资源遥感, 2012, 24(4): 16-20.
MENG Peng, HU Yong, GONG Cai-lan, LI Lin. Discussions on Using Channels of Split-window Algorithm to Retrieve Earth Surface Temperature. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 16-20.
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