地表比辐射率是热红外遥感获取地表温度必不可少的参数。目前。实验室或野外实际测量的都是8~14um热红外波段范围内的地表比辐射率,这与Landsat 5 TM热红外波段10.4~12.5um范围内的地表比辐射率还存在着一定的差异。本文将着重探讨TM热红外范围内地表比辐射率的估算方法,然后根据估算出的地表比辐射率,利用覃志豪等提出的单窗算法,对北京城八区进行地表温度反演。结果表明。该方法能获得较为合理的地表温度反演结果。
Land surface emissivity (LSE) is an absolutely necessary parameter for land surface temperature (LST) retrieval from thermal remote sensing data. At present, laboratory or field spectral measurements can only give broadband (8-14um) integrated emissivities which are different from the effective emissivity of TM thermal band (10.4-12.5um). The objective of this study was to examine the estimation of land surface emissivity equivalent to that required for LST retrieval from TM thermal band data. Using mono-window algorithm, we also present an example of LST retrieval in the paper to show the spatial variation of LST in Beijing, the capital of China. The result shows that the method can yield a reasonable estimation of LST of that area.