###### Abstract
That, in turn, makes it possible to conduct assessments of geometric changes in engineering structures while examining their displacements and defining related risk management [9]. Numerous publications have also described research on the development of computational algorithms and data adjustment in integrated geodesy. Such works date even back to the late 1980s and early 1990s, for example [10; 11]. In one author's solution, which was the topic of a doctoral dissertation and the results of which are presented in the article [12], a methodology was developed for the adjustment and integration of spatial traverses surveyed using total stationtechniques with reference to GNSS satellite measurements and the geoid. The measurement experiment was conducted both in urban areas and in the mountains. The total stationand GNSS results were further enriched by modelling the mutual plumb line arrangement in successive observation stations. Various polynomial functions were tested for this purpose, and numerical algorithms were assessed, including Levenberg-Marquardt's [13]. The use of numerical methods in landslide monitoring is also described in the work [14]. Depending on the type of landslide under study, an appropriate interpolation grid was defined in the test area, distinguishing sectors of the phenomenon's low, medium, and high activity. The level of activity then determines the selection of appropriate modelling parameters. The method was developed utilizing the total station data; however, it can be modified depending on other geodetic measurement technologies. For example, such integration can be performed by employing photogrammetric methods of correlating digital images [15]. Research on integrating total station and GNSS satellite measurements is also a vibrant subject amongst researchers. For example, the publication [16] presents and discusses study results using the methods above for deformation surveys of a large dam, obtaining promising results in the long-term evaluation of its technical condition. Article [17], on the other hand, demonstrates the analysis of a mathematical model for the adjustment and integration of geodetic measurements in the local spatial system, without the need for prior projection of GNSS vectors onto a reference ellipsoid. The author proposed a computational model that integrates data from two sources--total station and static GNSS measurements--and their joint adjustment in a single, coherent coordinate system. However, this approach considers any local geoid model. In addition, the implementation of GNSS measurements requires a maximally open horizon, and in the case of other than static positioning methods (e.g., Real-Time), also the fulfillment other conditions such as an adequate number of available satellites, reducing interfering elements (multipath mitigation), and many more [18]. As previously mentioned, photogrammetric methods based on appropriate modelling of the relative and absolute positions of image projection centers while ensuring adequate coverage of the pictured object [19] are currently the subject of exciting research. Based on many available studies in this area, the authors conducted research employing photogrammetry in precise object dimensioning and structural monitoring [20]. In this case, however, one can talk about pure local network-specific micro-grids with reference points deployed directly on the examined object. Similar studies can also be found in [21]. Here, for assessing the condition of historical objects, the authors proposed the integration of multi-source photogrammetric data, including historical photographs. In this context, the publication [22] is also noteworthy, in which the authors proposed using geomatics technologies for the digital reconstruction of historical objects currently undergoing renewal. The above considerations motivated the authors to conduct studies on developing computational methods for integrating multi-source data processing, significantly increasing the accuracy and reliability of the results obtained.