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dc.contributor.author | Bechert, Steffen | es_ES |
dc.contributor.author | Schlienkamp, Andreas | es_ES |
dc.contributor.author | Spreckels, Volker | es_ES |
dc.date.accessioned | 2023-03-02T14:08:26Z | |
dc.date.available | 2023-03-02T14:08:26Z | |
dc.date.issued | 2023-01-27 | |
dc.identifier.isbn | 9788490489796 | |
dc.identifier.uri | http://hdl.handle.net/10251/192245 | |
dc.description.abstract | [EN] Over decades RAG has collected spatial data from different sensors for the purpose of monitoring and analyzing ground movement caused by underground hard coal mining activities. With monitoring scopes from small objects, like delicate industrial installations surveyed by geometric leveling, to wide area observation by radar satellites, data was stored in several systems. Since there is still ground movement caused by the controlled flooding of former underground mine buildings, RAG will continue surveying the surface and collecting deformation data. To handle and analyse this deformation data and to create a value-adding application RAG cooperated with the company Atos to design Geomonplus. The following main requirements were identified at the start: To store data from different databases with different structures as well as current and future geodetic data sources, the data model needs to have a generic structure. The chosen platform needs to be future-oriented and should be established within RAG. The application also should be integrated into RAG’s spatial data infrastructure. The ground movement information needs to find its way into an internal web service to reduce expert’s workload and to share insights and expertise. This paper presents the main functions of the newly developed solution for experts as an extension for Esri ArcGIS Pro as well as web service tools for non-experts. Furthermore, some time series examples of leveling data in combination with satellite-based PSI and GNSS evaluations are illustrated. Finally, an outlook on plans to add more time series data such as ground water levels, mine water levels or weather data into the internal web service, is outlined. | es_ES |
dc.format.extent | 8 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 5th Joint International Symposium on Deformation Monitoring (JISDM 2022) | |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Ground movement monitoring | es_ES |
dc.subject | Spatial data application | es_ES |
dc.subject | Time series analysis | es_ES |
dc.subject | Web service | es_ES |
dc.subject | Data democratizing | es_ES |
dc.title | Geomonplus: Application for Storage, Allocation, Exchange, and Visualization of Historical and Actual 4d-Postion-Data within Mining Areas | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Bechert, S.; Schlienkamp, A.; Spreckels, V. (2023). Geomonplus: Application for Storage, Allocation, Exchange, and Visualization of Historical and Actual 4d-Postion-Data within Mining Areas. En 5th Joint International Symposium on Deformation Monitoring (JISDM 2022). Editorial Universitat Politècnica de València. 597-604. http://hdl.handle.net/10251/192245 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | 5th Joint International Symposium on Deformation Monitoring | es_ES |
dc.relation.conferencedate | Junio 20-22, 2022 | es_ES |
dc.relation.conferenceplace | València, España | es_ES |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/JISDM/JISDM2022/paper/view/13894 | es_ES |
dc.description.upvformatpinicio | 597 | es_ES |
dc.description.upvformatpfin | 604 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\13894 | es_ES |