Abstract
Abstract. Nowadays monitoring of mining areas, e.g., regarding dam stability, has become increasingly important with rising awareness of safety and environmental protection. An appropriate monitoring scheme is necessitated to legally activate, reactivate, or terminate mining operations. Usually such monitoring relies on in situ surveys, which are unrealistic to cover an extensive mining area. Alternatively, remote sensing based on spaceborne data offers efficient and cost-effective solutions for regular surveillance of large areas. Spaceborne SAR sensors provide images captured rapidly over vast areas at fine spatiotemporal resolution. These sensors are characterized by weather independent and day-and-night vision, which guarantees intensive image series without cloud occlusion. Using multi-temporal SAR images, advanced DInSAR such as PSI and SBAS is a mature technique to evaluate surface deformation at best millimetre level. This technique has been commercialized as a standard service in many Geoinformation companies. Nevertheless, experts from other fields like mining engineers often doubt the information about movement derived from DInSAR. Our duty in industry is to solve these doubts and tailor our techniques for various applications. With the support of STINGS project, we have developed an initial prototype of our monitoring system. The final goal is to launch an interactive GIS-based platform as an early warning system to the public. In this paper, we demonstrate our initial test result using Sentinel-1 images at a mining site in Chile. We also propose the strategies to solve the problems in real applications and discuss how to improve the overall quality.
Highlights
For many countries, mining industry accounts for an important share of their economic outputs
Differential interferometric SAR (DInSAR) using only two SAR images evaluates surface movement commonly up to centimetre level. This technique has been refined in persistent scatterer interferometry (PSI) (Crosetto et al, 2016; Ferretti et al, 2000, 2001, 2011; Hooper et al, 2004; Kampes, 2006) and small baseline subset (SBAS) (Berardino et al, 2002; Lanari et al, 2007)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W13, 2019 ISPRS Geospatial Week 2019, 10–14 June 2019, Enschede, The Netherlands In STINGS project, we have developed an initial prototype of our monitoring system for mining areas
Summary
For many countries, mining industry accounts for an important share of their economic outputs. Open-pit and underground mining activities cause structural deformation and ground subsidence Monitoring such a mining impact has become increasingly important for safety of human lives and properties. Differential interferometric SAR (DInSAR) using only two SAR images evaluates surface movement commonly up to centimetre level This technique has been refined in persistent scatterer interferometry (PSI) (Crosetto et al, 2016; Ferretti et al, 2000, 2001, 2011; Hooper et al, 2004; Kampes, 2006) and small baseline subset (SBAS) (Berardino et al, 2002; Lanari et al, 2007).
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