Inversion Method Study on Short Wave Infrared Remote Sensing Data High Temperature Surface Feature Temperature

The short wave infrared remote sensing data element DN value is synthesis reflectance of surface features reflex and the emission energy that the emission energy can be ignored generally in terms of the normal temperature surface features, but emission energy of the high temperature surface feature is close or higher than its reflex energy value, based on this, using the short wave infrared remote sensing data through the reflex-emission energy separation can realize radiation temperature inversion of the high temperature surface features. This article mainly uses the Landsat/ETM+7 wave band data, adopts the background element index of reflectance estimation method to carry on the reflectance emission energy separation, and based on black body radiation law inverses surface coal bed spontaneous combustion (coal fire) temperature. The findings indicate that the method of the short wave infrared remote sensing data inversion high temperature unusual information is completely feasible, its applicable scope is surface features bigger than 450 K, and simultaneously this method has the high space orientation precision.