To obtain the sensitive spectral bands for detection of information on 4 kinds of burning status, i.e. flaming, smoldering, smoke, and fire scar, with satellite data, analysis was conducted to identify suitable satellite spectral bands for detection of information on these 4 kinds of burning status by using hyper-spectrum images of Tiangong-01(TG-01) and employing a method combining statistics and spectral analysis. The results show that: in the hyper-spectral images of TG-01, the spectral bands differ obviously for detection of these 4 kinds of burning status; in all hyper-spectral short-wave infrared channels, the reflectance of flaming is higher than that of all other 3 kinds of burning status, and the reflectance of smoke is the lowest; the reflectance of smoke is higher than that of all other 3 kinds of burning status in the channels corresponding to hyper-spectral visible near-infrared and panchromatic sensors. For spectral band selection, more suitable spectral bands for flaming detection are 1 000.0～1 956.0 and 2 020.0～2 400.0 nm; the suitable spectral bands for identifying smoldering are 930.0～1 000.0 and 1 084.0～2 400.0 nm; the suitable spectral bands for smoke detection is in 400.0～920.0 nm; for fire scar detection, it is suitable to select bands with central wavelengths of 900.0～930.0 and 1 300.0～2 400.0 nm, and then to combine them to construct a detection model.