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In this paper the results of the geophysical investigation on the archeological site Isar-Marvinci are presented. The results show low changes in the magnetic field and the local gradient, as it is an archeological site where there are no buildings and structures built of baked bricks that cause larger magnetic changes in the magnetic field over 100 [nT] or more [nT]. Small anomalies of the magnetic gradient probably indicate graves that have been confirmed by illegal diggers, whose presence can be seen on the ground.

In this paper, we present a system prototype for monitoring the deformation and stability of different types of critical constructions. This system can be applied in order to achieve a higher level of risk management and safer working conditions. The system can have a wide application, for example it can be used as a real-time system for detecting deformations of mining construction or other types of critical construction areas. The main component of this system contains a Laser distance measurement module and single-board computers (SBCs) Raspberry Pi. This system can be integrated as a module in an already pre-existing monitoring system or as a stand-alone system. Here the basic functionality of the system platform and what can be done to improve monitoring process will be presented.

Rock quality designation (RQD) index, provides a general indication of rock mass quality and is widely used in many rock mass classification systems. From the literature review, it is concluded that the RQD methodology has several limitations and one of them is highlighted in this paper with the help of stochastic analysis with Monte Carlo simulation. The purpose of this paper is to improve the results of the RQD index through volumetric joint count (Jv) from accessible surface areas or when drill cores are not available. In this paper, we introduce a low-cost photogrammetric method for rock slope reconstruction with scaled and oriented 3D point cloud, ideally suited for geomechanical analysis. As an outcome, the 3D point cloud is then used to detect the discontinuity sets and to, define their orientation, normal spacing and persistence. Results are then used to calculate the number of joints per m3, which is then used as input in the empirical correlation between the RQD index and the Jv. The main advantage of the proposed methodology is that it is completely based on open-source software.