Method for the automatic detection and subsequent processing and storage of one or more geo-referenced environmental parameters referring to a railway of reference, including the following steps consisting in: - automatically acquiring one or more geo-referenced environmental parameters referring to one or more current environmental conditions of a railway of reference by means of detecting means that are located on board of a mean that is suitable for the movement on a rail; - transmitting said data and said one or more detected parameters to a server, implemented with memory means that are configured for the organized storage of said geo-referenced parameters; - processing, by means of dedicated software means that reside in said remote server, and according to predefined instructions, said one or more geo-referenced environmental parameters, for generating one or more 3D models referring to the current environmental conditions of the railway of reference; - processing, by means of said dedicated software means, a confrontation between said one or more 3D models and one or more corresponding model of reference, for detecting possible deviation or anomaly situations, characterised in that said server is remote and in that said step of automatically acquiring said one or more geo-referenced environmental parameters referring to said railway of reference comprises the steps of: - detecting one or more parameters referring to the current state of the vegetation that is present within and in the nearby of the railway; - classifying said vegetation as infesting, dangerous, neutral, useful, and. - basing on said classification, identifying and consequently providing, in a controlled and automatic way, the best intervention strategies that are subsequently transmitted to the operators. - automatically acquiring one or more geo-referenced environmental parameters referring to one or more current environmental conditions of a railway of reference by means of detecting means that are located on board of a mean that is suitable for the movement on a rail; - transmitting said data and said one or more detected parameters to a server, implemented with memory means that are configured for the organized storage of said geo-referenced parameters; - processing, by means of dedicated software means that reside in said remote server, and according to predefined instructions, said one or more geo-referenced environmental parameters, for generating one or more 3D models referring to the current environmental conditions of the railway of reference; - processing, by means of said dedicated software means, a confrontation between said one or more 3D models and one or more corresponding model of reference, for detecting possible deviation or anomaly situations, characterised in that said server is remote and in that said step of automatically acquiring said one or more geo-referenced environmental parameters referring to said railway of reference comprises the steps of: - detecting one or more parameters referring to the current state of the vegetation that is present within and in the nearby of the railway; - classifying said vegetation as infesting, dangerous, neutral, useful, and. - basing on said classification, identifying and consequently providing, in a controlled and automatic way, the best intervention strategies that are subsequently transmitted to the operators. - detecting one or more parameters referring to the current state of the vegetation that is present within and in the nearby of the railway; - classifying said vegetation as infesting, dangerous, neutral, useful, and. - basing on said classification, identifying and consequently providing, in a controlled and automatic way, the best intervention strategies that are subsequently transmitted to the operators. <EOS>