GLOMON-Monitoringportal for storage, management, advanced processing and intelligent visualization of GNSS- and other sensors data

The earth is constantly exposed to endogenous and exogenous forces that cause temporally variable movements and deformations of varying degrees. The Global Monitoring (GLOMON) solution supports the monitoring of infrastructure or large areas such as mining regions using GNSS and other sensors, in order to detect deformations or surface movements. The GNSS reference stations enable the integration of other geodetic and geotechnical sensors in a global coordinate reference frame. Three dimensional coordinates are generated for each GNSS monitoring station with a precise time stamp, allowing for the web-based visualization of time series. One of the new developments presented here is the integration of the program system suite PANDA from GEOTEC GmbH into GLOMON, which supports a dynamic network adjustment. This procedure revolutionizes the approach of stable reference points for geodetic monitoring tasks, which has been valid and used for decades. The classic approach to such measurements is the assumption of a stable reference frame over a long period of time (zero measurement). Local measurements are connected to higher-level, supposedly stable reference points, such as first order GNSS reference stations. But these external reference points can also be subject to movements which, assuming stability, are projected onto the local measurements. To solve this problem, all GNSS stations are handed over to a deformation analysis after post-processing and network adjustment in order to detect displaced points. Furthermore, the concept of time-invariant reference station coordinates should be reconsidered. This means that those reference stations detected as displaced are not fundamentally excluded from the network evaluation, but their movement behavior is described by time-variant coordinates. With the introduction of movement models for reference stations, their movements are no longer projected onto local measurements of monitoring stations. This information can be used in the areas of interest, e.g. for the optimization of existing movement and deformation models. In this way, predictions about expected deformations can be made reliably.