INVESTIGATIONS ON VERTICAL LAND MOVEMENTS ALONG THE NORTH SEA AND BALTIC SEA COAST IN GERMANY WITH PS INTERFEROMETRY

• Main Authors: A. Riedel, B. Riedel, D. Tengen, M. Gerke
• Format: Article
• Language: English
• Published: Copernicus Publications 2019-06-01
• Series: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Online Access: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1945/2019/isprs-archives-XLII-2-W13-1945-2019.pdf

<p>The project ‘Determinations on the absolute sea-level rise on the German North Sea and Baltic Sea coasts’, funded by the Federal Ministry of Education and Research (BMBF) , has the overall goal to estimate the absolute sea level change in those coastal areas. A major issue associated with detecting absolute sea level changes is the relative character of tidal records. To calibrate the tidal records, a spatial vertical land movement model for northern Germany has been set up. To this end we combined a network from German Height Reference Systems (Deutsches Haupthöhennetz, DHHN 95 and DHHN 2016), reprocessed data from 180 permanent GNSS stations and results from Persistent Scatterer (PS) Interferometry.</p><p>PS processing covers an approximately 50&thinsp;km wide strip along the 1200&thinsp;km long German coast. We processed two tracks from Sentinel-1A and -1B from October 2014 to September 2018 and generated a combined spatial solution for the estimation of vertical land movement. In general, vertical velocities from PS Interferometry range between &plusmn;2&thinsp;mm/a and show a homogeneous distribution for coastal areas. Therefore we consider them as stable. We observe subsidence in the area around Groningen and Emden through hydrocarbon extraction. In Wilhelmshaven and Etzel subsidence associated with cavern storage is visible.</p><p>Processed GNSS data and PSI results overlap in time from 2014 to 2016. The integration of the spatial multi-temporal PS results with point-wise GNSS time series data are required, as they form the main input data for the further development of our vertical displacement model of northern Germany.</p>