A method for automatic detection of antenna site conditions, ASC, at an antenna site, AS, of an antenna the method comprising the steps of: providing signal source observations, SSO, derived from signals received by the antenna from at least one signal source, SS, and transforming the signal source observations, SSO, into images fed to a trained image-processing artificial intelligence, AI, model which calculates antenna site conditions, ASC, at an antenna site, AS, of the respective antenna, characterised in that: each of the at least one signal source, SS, comprises a satellite signal source transmitting satellite signals received by the antenna to derive satellite signal source observations, SSSO, of the antenna with respect to the satellite signal source, each satellite signal source observation, SSSO, comprises an azimuth angle of the satellite signal source in relation to the antenna, an elevation angle of the satellite signal source in relation to the antenna, and a signal strength of the satellite signal received by the antenna from the satellite signal source, the satellite signal source observations, SSSO, are transformed (201, 202, 203) into a two-dimensional, 2D, grey-scale image fed to the trained image-processing artificial intelligence, AI, model, wherein the pixels of said grey-scale image have pixel intensities based on the signal strength of the received satellite signals, wherein transforming the satellite signal source observations, SSSO, into a two-dimensional, 2D, grey-scale image comprises: the azimuth angle of the satellite signal source in relation to the antenna and the elevation angle of the satellite signal source in relation to the antenna forming three-dimensional, 3D, horizontal coordinates of the satellite signal source are transformed into corresponding two-dimensional, 2D, Cartesian coordinates of the satellite signal source, the two-dimensional, 2D, Cartesian coordinates are transformed into a two-dimensional array of image pixels having pixel intensity values computed from the signal strength of the signal received from the satellite signal source at the respective Cartesian coordinates and normalized to provide the two-dimensional, 2D, grey-scale image fed to the trained image-processing artificial intelligence, AI, model; wherein the trained image-processing artificial intelligence, AI, model calculates an obstruction vector, V, comprising a predetermined number of probability values, p, each indicating a probability that an obstruction of the antenna exists in an associated antenna sector around the antenna site, AS, of the respective antenna. providing signal source observations, SSO, derived from signals received by the antenna from at least one signal source, SS, and transforming the signal source observations, SSO, into images fed to a trained image-processing artificial intelligence, AI, model which calculates antenna site conditions, ASC, at an antenna site, AS, of the respective antenna, each of the at least one signal source, SS, comprises a satellite signal source transmitting satellite signals received by the antenna to derive satellite signal source observations, SSSO, of the antenna with respect to the satellite signal source, each satellite signal source observation, SSSO, comprises an azimuth angle of the satellite signal source in relation to the antenna, an elevation angle of the satellite signal source in relation to the antenna, and a signal strength of the satellite signal received by the antenna from the satellite signal source, the satellite signal source observations, SSSO, are transformed (201, 202, 203) into a two-dimensional, 2D, grey-scale image fed to the trained image-processing artificial intelligence, AI, model, wherein the pixels of said grey-scale image have pixel intensities based on the signal strength of the received satellite signals, wherein transforming the satellite signal source observations, SSSO, into a two-dimensional, 2D, grey-scale image comprises: the azimuth angle of the satellite signal source in relation to the antenna and the elevation angle of the satellite signal source in relation to the antenna forming three-dimensional, 3D, horizontal coordinates of the satellite signal source are transformed into corresponding two-dimensional, 2D, Cartesian coordinates of the satellite signal source, the two-dimensional, 2D, Cartesian coordinates are transformed into a two-dimensional array of image pixels having pixel intensity values computed from the signal strength of the signal received from the satellite signal source at the respective Cartesian coordinates and normalized to provide the two-dimensional, 2D, grey-scale image fed to the trained image-processing artificial intelligence, AI, model; wherein the trained image-processing artificial intelligence, AI, model calculates an obstruction vector, V, comprising a predetermined number of probability values, p, each indicating a probability that an obstruction of the antenna exists in an associated antenna sector around the antenna site, AS, of the respective antenna.