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REALIZATION OF GEODETIC NETWORK FOR MONITORING OF LANDSLIDE AREA NEAR TREBENICE

Doc. Ing. Rudolf Urban, Ph.D., Prof. Ing. Martin Stroner

First published: 2017-06-20https://doi.org/10.5593/sgem2017/22/s09.066View metrics

Abstract

?eskпїЅ st?edoho?пїЅ Mts. area has long been modeled by geological activities including landslides. Near the city T?ebenice there are several active landslides, one of them is exceptional because its long-term activity disrupts just two linear constructions, both road and a railroad. Therefore the landslide was intensively monitored in the past several years and is quite well mapped thus. The aim of this paper is a realization of special geodetic measurement suitable for the landslides monitoring. The system of measurement is based on spatial polar method in combination with GNSS (static method). The biggest problem in landslide monitoring is stabilizing of the stable points for the shift determination, especially in this case, because the monitored area and its neighborhood is very unstable. Therefore the GNSS method was used in each monitoring epoch for absolute shift determination of whole area. The relative shifts were determined by the total station measurement connected to points determined by the GNSS measurement (in each epoch). Before the measurement the a priori analysis was realized in special software PrecisPlanner 3D and for complex processing and the adjustment it was used the special geodetic software EasyNet, which enables the robust analysis of outliers. The measurement was processed as a spatial network. Results convincingly describe changes in the area including the accuracy of their determination.

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Publication details

Title
REALIZATION OF GEODETIC NETWORK FOR MONITORING OF LANDSLIDE AREA NEAR TREBENICE
Authors
Doc. Ing. Rudolf Urban, Ph.D., Prof. Ing. Martin Stroner
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
531-538
SWS Citekey
Urban20179531538
ISSN
1314-2704
ISBN
978-619-7408-02-7
Language
en
Publication type
Conference Paper
Keywords
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