The subject of the invention is a method for detecting and classifying events of a scene by means of a single-pupil imaging system equipped with a VisNIR detector in the 0.6 μm-1.1 μm band and with an SWIR detector, which comprises steps of acquiring synchronized VisNIR and SWIR successive 2D images, of displaying the VisNIR images, and of processing these images, which consists in: comparing the SWIR images so as to determine, for each pixel, the variation in illumination from one SWIR image to another and the peak value of these SWIR illuminations, if this variation in SWIR illumination is greater than a threshold, then an event associated with said pixel is detected and: its date, its temporal shape and its duration are determined, in the VisNIR images, the coordinates are determined of the corresponding pixel for which: the variation in the illumination from one VisNIR image to another and the peak value of these VisNIR illuminations are calculated, and these variations in SWIR and VisNIR illumination and their peak values are compared so as to estimate a temperature of the event, the distance of the corresponding point of the scene is estimated so as to calculate the intensity of the event on the basis of the SWIR and VisNIR illuminations and on the basis of this distance, the total energy of the event is estimated on the basis of its temporal shape and of its intensity, the event is classified as a function of its duration, its temperature, its intensity and its energy, the previous steps are repeated for another pixel of the SWIR images.