Method for automated standardized location digital twins of physical constructions factoring in dynamic data and measuring parameters at different construction levels and generating standardized geo-encoding output, the dynamic data and measuring parameters at least comprise aerial digital imagery of a geographic area, geo location parameter values for locations in the geographic area and/or construction parameter values and/or measurement-based exposure parameter values and/or protection parameter values, comprising capturing and displaying a digital imagery of a geographic area including a location of a physical construction of interest on a display of a user interface, wherein at least some of the geo location parameters are extracted from the image data by image recognition, the geo location parameters being technically measurable parameters indicating at least a latitude, longitude, elevation, surface area and/or soil conditions of the sub area and/or the property asset of interest, identifying a sub-area by indicating the construction identification by setting polygon-shaped boundaries around the physical construction at the geographic area to generate a digital 2-dimensional construction lay-out on the digital imagery, wherein assembling the digital 2-dimensional construction lay-out comprises assigning one or more floor levels providing a 3-dimensional volumetric construction lay-out on the digital imagery, generating a digital, polygon-based voxel layout providing the 3-dimensional representation of the digital 2-dimensional construction lay-out by encoding irregular voxel grids with non-uniform space partitioning, wherein the digital input imagery and the assembled polygon-based voxel layout is bridged by a pointer-based cross-modal module using a generative adversarial layout network and graphical neural network for passing messages between the digital input imagery and the assembled polygon-based voxel layout, and wherein the polygon-based voxel layout combines voxel-based and imagery-based layouts by encoding voxels into polygon-shaped graph nodes, merging the digital imagery of the geographic area with a 2-dimensional geographic or topographic digital event foot-print of a selected natural catastrophic event, assembling the digital 2-dimensional construction lay-out by graphically assigning hierarchic-structured levels comprising at least complexes and/or buildings and/or compartments via the graphical user interface, extending the digital 2-dimensional construction lay-out by graphically assigning at least physical construction characteristic parameters and/or fire protection parameters and/or fire detection parameters and/or water source parameters and/or hazard control and protection parameters, and generating a location digital twin based on the digital imagery and the combined digital 2-dimensional construction having a standardized output for the construction based on the dynamic data and measuring parameter values. capturing and displaying a digital imagery of a geographic area including a location of a physical construction of interest on a display of a user interface, wherein at least some of the geo location parameters are extracted from the image data by image recognition, the geo location parameters being technically measurable parameters indicating at least a latitude, longitude, elevation, surface area and/or soil conditions of the sub area and/or the property asset of interest, identifying a sub-area by indicating the construction identification by setting polygon-shaped boundaries around the physical construction at the geographic area to generate a digital 2-dimensional construction lay-out on the digital imagery, wherein assembling the digital 2-dimensional construction lay-out comprises assigning one or more floor levels providing a 3-dimensional volumetric construction lay-out on the digital imagery, generating a digital, polygon-based voxel layout providing the 3-dimensional representation of the digital 2-dimensional construction lay-out by encoding irregular voxel grids with non-uniform space partitioning, wherein the digital input imagery and the assembled polygon-based voxel layout is bridged by a pointer-based cross-modal module using a generative adversarial layout network and graphical neural network for passing messages between the digital input imagery and the assembled polygon-based voxel layout, and wherein the polygon-based voxel layout combines voxel-based and imagery-based layouts by encoding voxels into polygon-shaped graph nodes, merging the digital imagery of the geographic area with a 2-dimensional geographic or topographic digital event foot-print of a selected natural catastrophic event, assembling the digital 2-dimensional construction lay-out by graphically assigning hierarchic-structured levels comprising at least complexes and/or buildings and/or compartments via the graphical user interface, extending the digital 2-dimensional construction lay-out by graphically assigning at least physical construction characteristic parameters and/or fire protection parameters and/or fire detection parameters and/or water source parameters and/or hazard control and protection parameters, and generating a location digital twin based on the digital imagery and the combined digital 2-dimensional construction having a standardized output for the construction based on the dynamic data and measuring parameter values.