Progress in Retrieving Land Surface Temperature for the Cloud-Covered Pixels from Thermal Infrared Remote Sensing Data
ZHOU Yi1, QIN Zhi-hao1, 2*, BAO Gang1, 3
1. International Institute for Earth System Science, Nanjing University, Nanjing 210093, China 2. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China 3. Inner Mongolian Key Laboratory of Remote Sensing and Geographic Information System, Inner Mongolia Normal University, Huhhot 010022, China
Abstract：Land surface temperature (LST), which reflects surface properties, is one of the key parameters in the physics of land surface processes from local through global scales. LST is very required in time and space for a wide variety of scientific studies and thermal infrared (TIR) remote sensing applications. Satellite TIR channels are very available for LST retrieval but only in clear skies. However, when the surface is obscured by clouds, the actual retrieved LST for the corresponding pixel is, or is contaminated by, the cloud top temperature. Lacking understanding of the complex relationships between clouds and LST, the estimation of LST for cloud-covered pixels poses a big problem and challenge for thermal remote sensing scientists. In the present paper, a review of algorithms and approaches related to LST retrieval for cloud-covered pixels from TIR data is presented, and the characteristics of each method are also discussed. Directions for future research to improve the accuracy of satellite-derived LST for cloud-covered pixels are then suggested.
Key words：Cloud cover;Land surface temperature (LST);TIR;Remote sensing retrieval
周 义1，覃志豪1, 2*，包 刚1, 3 . 热红外遥感图像中云覆盖像元地表温度估算研究进展 [J]. 光谱学与光谱分析, 2014, 34(02): 364-369.
ZHOU Yi1, QIN Zhi-hao1, 2*, BAO Gang1, 3 . Progress in Retrieving Land Surface Temperature for the Cloud-Covered Pixels from Thermal Infrared Remote Sensing Data . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(02): 364-369.
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