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You are here: Home / Library / RBINS Staff Publications 2019 / The GEPATAR project: GEotechnical and Patrimonial Archives Toolbox for ARchitectural conservation in Belgium

Jan Walstra, Pierre-Yves Declercq, Christian Barbier, Thibauld Croonenborghs, Dominique Derauw, Anastasios Drougkas, Roald Hayen, Francois-Philippe Hocquet, Michal Shimoni, Koen Van Balen and Els Verstrynge (2019)

The GEPATAR project: GEotechnical and Patrimonial Archives Toolbox for ARchitectural conservation in Belgium

In: Abstract Book of RSPSoc2019 Annual Conference, pp. 1, Remote Sensing and Photogrammetry Society.

Belgium is well-known for its diverse collection of built heritage, visited every year by millions of people. Because of its cultural and economic importance, conservation is a priority at both federal and regional levels. Monuments may suffer from structural instabilities related to industrial and urban development, such as groundwater extraction, mining and excavation activities. Adequate protection and preservation requires an integrated analysis of environmental, architectural and historical parameters. The aim of the GEPATAR project is to create an online interactive geo-information tool that integrates information about Belgian heritage buildings and the occurrence of ground movements. The toolbox will allow the user to view and be informed about buildings potentially at risk due to differential ground movements and thus help improving the management of built patrimony. Countrywide deformation maps were produced by applying advanced multi-temporal InSAR techniques to time-series of SAR data. We used StaMPS (Stanford Method for Persistent Scatterers; Hooper et al. 2012) to process ERS-1/2 and Envisat archive data and MSBAS (Multidimensional Small Baseline Subsets; Samsonov & d’Oreye 2012) to combine both ascending and descending tracks of Sentinel-1. High-resolution deformation maps of selected urban centres were obtained by processing VHR SAR data (TerraSAR-X and CosmoSkyMed). Within the GEPATAR toolbox, the deformation maps are integrated with other geo-data layers such as geology, land-use, the location of built heritage and architectural data. Feature-based data fusion techniques are applied to create ground movement risk maps. The output risk maps will be regularly updated with the availability of new SAR acquisitions.
Peer Review, Open Access, PDF available, Abstract of an Oral Presentation or a Poster