Monitoring of Mining Subsidence in a Sector of Central Chile through the Processing of a Time Series of Sentinel 1 Images Using Differential Interferometry Techniques (DInSAR)

Paulina Vidal-Páez; Dominique Derauw; Alfonso Fernández-Sarría; Miguel Peralta

doi:10.3390/proceedings2019019010

,

and

¹

Hémera Centro de Observación de la Tierra, Facultad de Ciencias, Universidad Mayor, Santiago 8340589, Chile

²

Departamento de Ingeniería Cartográfica, Geodesia y Fotogrametría, Universitat Politècnica de València, Valencia 46022, Spain

³

Centre Spatial de Liège, Université de Liège, Liège 4031, Belgium

⁴

Escuela de Geografía, Facultad de Arquitectura y Urbanismo, Universidad de Chile, Santiago 8331051, Chile

Proceedings2019, 19(1), 10;https://doi.org/10.3390/proceedings2019019010

This article belongs to the Proceedings The II Geomatics Engineering Conference

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Abstract

The objective of this work is to monitor the mining subsidence in a mountain range sector of central Chile between 2014 and 2018 through the processing of a time series of Sentinel 1 images using differential interferometry techniques (DInSAR). As a pretest, nine interferometric pairs were considered and processed using SNAP and SNAPHU software. Coherence levels obtained in complex topography sectors were low, due to both temporal and geometrical decorrelation. However, it is proposed that data from the PAZ project (X-band) and the Argentinean SAOCOM satellite (L-band) be used in the future.

Keywords:

subsidence; Sentinel-1; DInSAR

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Monitoring of Mining Subsidence in a Sector of Central Chile through the Processing of a Time Series of Sentinel 1 Images Using Differential Interferometry Techniques (DInSAR) †

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Monitoring of Mining Subsidence in a Sector of Central Chile through the Processing of a Time Series of Sentinel 1 Images Using Differential Interferometry Techniques (DInSAR)^†