Abstract
Abstract. The paper is aimed at the study of monitoring workflow in adverse observation conditions for sports structures. The application of terrestrial laser scanning for monitoring various objects is well-studied. However, the deployment of TLS for large sports structures is challenging. Such structures have huge sizes, complex geometry and need the control of particular elements. The monitoring gets complicated in the case when the structure is placed on a very steep slope, e.g., ski jumps or bobsleigh tracks. The subject of the presented study is the complex of ski jumps 'Sunkar' emplaced in Almaty, Republic of Kazakhstan. The monitoring network for the complex was created using a robotic total station. Due to the extreme sizes of the object (height 70 m, width 8 m, length over 100 m), TLS was accomplished from all points of the network to ensure the necessary density of point clouds and reliable georeferencing. The main observation parameters were the displacements of the ski jumps regarding the longitudinal axis. To retrieve the axis coordinates, the point cloud was sliced along the ski jump surface. The geometry of the longitudinal axis was simulated using spline functions. As an output, the suggested monitoring workflow is provided that ensures the quality of the necessary results.