Thermal infrared data of Sustainable Development Goals Satellite 1 (SDGSAT-1) with 30-m spatial resolution was one highest resolution data. The accurate recognition of cloud on SDGSAT-1 thermal infrared data is becoming vitally important for thermal infrared target detection in lager areas. In this paper, a new cloud detection method was proposed using SDGSAT-1 thermal infrared data. First, a new cloud index was devised based on SDGSAT-1 thermal infrared data and muti-features were extracted. Then, cloud samples and non-cloud samples were set up using SDGSAT-1 thermal infrared data and high-resolution satellite remote sensing data. Lastly, Support Vector Machine (SVM) was introduced to detect cloud mask. The results show that the new method can detect cloud mask on SDGSAT-1 thermal infrared data.
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