This paper provides an overview of state-of-the-art technology and sensor for the inventory of industrial archaeology. As an object of study, a historical copper shaft the Quincy Mine in Michigan State Upper Peninsula was chosen. This shaft was operated for nearly 100 years from 1846 to 1945 and today, what remains of the shaft is a part of the Keweenaw National Historical Park. The main sensor for data acquisition that was used is a 3D camera Matterport. In given research, the results of the above ground scanning using of Matterport are presented. Before scanning a calibration of Matterport camera was performed. The calibration was done by comparison of coordinates of targets determined by FARO Scanner. It was found out that the camera has significant systematic errors which have to be accounted during data processing. Because of the specific data structure of Matterport camera, only the scale factor was calculated and then applied to point clouds. Field works comprised historical and archive data collection and analysis, reconnaissance and scanning of the Quincy Mine interior. As a final result of the research 3D model of the Quincy Mine interior was constructed. Further, this model is going to be used for the Quincy Mine Museum virtual tours. There are many advantages to using Matterport. First of all, such a technology does not need dense geodetic support, average working time at station equals to 2–3 minutes. Cost of Matteroprt equipment is competitive to the cheapest terrestrial laser scanners.

In spite of the tremendous success in artificial intelligence technology and a high level of automation in geospatial data obtaining processes, there is still a need for topographical field data collection by professional surveyors. Understanding terrain topology and topography is a cognitive skill set that has to be demonstrated by geospatial Subject Matter Experts (SME) for the productive work in the topographic surveying field. For training of the mentioned above skillset, one has to be exposed to the theory and must also practice with surveying instruments in field conditions. The challenge of any surveying/geospatial engineering workforce training is to expose students to field conditions which might be limited due to equipment expenses and meteorological conditions that prevent good data collection. To meet this challenge, the Integrated Geospatial Technology research group is working on a geospatial virtual reality (VR) project which encompasses the following components: (a) immersive visualization of terrain; (b) virtual total station instrument; (c) virtual surveyor with reflector installed on the virtual rod. The application scenario of the technology we are working with has the following stages: (1) student is installing total station on the optimal location; (2) students move virtual surveyor on the sampling points they consider to be important (3) contours are generated and displayed in 3D being superimposed on 3D terrain; (4) accuracy of terrain modeling is observable and measurable by comparing the sampling model with initial one.

This paper considers an approach to solve the structure monitoring problem using an integrated GNSS system and non-metric cameras with QR-coded targets. The system is defined as a GNSS-assisted low-cost vision-based observation system, and its primary application is for monitoring various engineering structures, including high-rise buildings. The proposed workflow makes it possible to determine the change in the structure geometric parameters under the impact of external factors or loads and in what follows to predict the displacements at a given observation epoch. The approach is based on the principle of relative measurements, implemented to find the displacements between pairs of images from non-metric cameras organized in a system of interconnected chains. It is proposed to determine the displacement between the images for different epochs using the phase correlation algorithm, which provides a high-speed solution and reliable results. An experimental test bench was prepared, and a series of measurements were performed to simulate the operation of one vision-based observation system chain. A program for processing the sequence of images in the MatLab programming environment using the phase correlation algorithm was implemented. An analysis of the results of the experiment was carried out. The analysis results allowed us to conclude that the suggested approach can be successfully implemented in compliance with the requirements for monitoring accuracy. The simulation of the vision-based observation system operation with accuracy estimation was performed. The simulation results proved the high efficiency of the suggested system.

. Information about copper deposits of Kazakhstan, development of which is carried out in the Saryarka region and its role in the development of the mining industry are considered in the article. Geological, structural and tectonic features of the deposits are presented. Research results on improvement methods of studying and geomechanical processes management in the development of mineral resources are presented. It is shown that the problem of geomechanical processes management can be solved on the basis of methodology for rock condition geomonitoring considered in this article, which provides comprehensive accounting and analysis of all natural and technogenic factors, as well as use of control tools developed by the authors. The article presents technical solutions to ensure operational safety during the development of Saryarka region field reserves, which occur in difficult mining and geological conditions. Ore bodies of the deposit have different sizes and are located at different depths, therefore, seismic surveys are carried out. The geodetic network of provisional seismic surveys at the field has been substantiated. It is proposed to conduct surveys using modern geodetic instruments, such as satellite technologies, electronic, digital geodetic instruments. The geodetic survey methods proposed by the authors provide information on the bowels of the earth with a high degree of accuracy.

In the paper, the questions of using the technologies of low-cost photogrammetry in combination with the additional capabilities of modern smartphones are considered. The research was carried out on the example of documenting the historical construction of the II World War – the Kiev Fortified Region. Brief historical information about the object of research is given. The possibilities of using modern smartphones as measuring instruments are considered. To get high-quality results, the camera of the smartphone was calibrated. The calibration results were used in the future to perform 3D modeling of defense facilities. Photographing of three defense structures in a different state: destroyed, partially destroyed and operating was carried out. Based on the results of photography using code targets, 3D object models were constructed. To verify the accuracy of the 3D modelling, control measurements of the lines between the code targets at the objects were performed. The obtained results are satisfying, and the technology considered in the paper can be recommended for use in performing archaeological and historical studies.