Detection of surface subsidence using SAR SENTINEL 1A imagery and the DInSAR method – a case study of the Belchatow open pit mine, Central Poland

Jaroslaw Wajs,Wojciech J Milczarek,Jan B Blachowski,D Kasza,J Górniak-Zimroz

doi:10.1051/e3sconf/20175500004

Jaroslaw Wajs, Wojciech J Milczarek + Show 3 more

Open Access

https://doi.org/10.1051/e3sconf/20175500004

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Abstract

Open pit mining hazards monitoring is a crucial task. The paper focuses on the first analysis of surface subsidence in the open pit mining area obtained by Synthetic Aperture Radar active remote sensing technique. Presented methodology of Differential Interferometric SAR provides an excellent data source for mining vertical displacements monitoring. The study was performed in the Belchatow open pit lignite mine in Poland, Central Europe. The SAR SLC imageries acquired by the SENTINEL 1A satellite for the 124-descending track in two periods, between 03.10.2016-15.10.2016 and 15.10.2016-27.10.2016 have been used in the analysis. The post-proceed satellite line of sight (LOS) displacement indicates vertical changes of the surface within the dumping and excavation area. The analyzed region of interests (ROI) shows total subsidence of ca. -67mm, whereas the excavation areas show a trend of terrain uplift during the analyzed periods.

Highlights

Monitoring of mining areas with application of land survey methods is the fundamental task of mine surveyors
The research was focused on remote sensing sensor selection and elaborating a methodology allowing for correct data processing in a GMTSAR environment for the study object
The chosen Sentinel 1A Synthetic Aperture Radar (SAR) platform characterized by high temporal resolution was used in the study; in effect highly coherent interferograms were obtained

Summary

Introduction

Monitoring of mining areas with application of land survey methods is the fundamental task of mine surveyors. When performed with the use of classical survey methods, these tasks result in point sampling of the reality by geodetic observation lines and surface sampling using the raster matrix in the analyzed mining area. This analysis was prepared based on compilation [2]. Since analyzed object is an open pit mine, the obtained map of terrain subsidence has to base on high temporal, spatial data. These features are characteristic for the sensor Sentinel 1A which is present-day operational and open access

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