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Proceeding Paper

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) †

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
*
Author to whom correspondence should be addressed.
Presented at the II Congress in Geomatics Engineering, Madrid, Spain, 26–27 June 2019.
Proceedings 2019, 19(1), 10; https://doi.org/10.3390/proceedings2019019010
Published: 15 July 2019
(This article belongs to the Proceedings of The II Geomatics Engineering Conference)

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 subsidence; Sentinel-1; DInSAR

Share and Cite

MDPI and ACS Style

Vidal-Páez, P.; Derauw, D.; Fernández-Sarría, A.; Peralta, M. 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). Proceedings 2019, 19, 10. https://doi.org/10.3390/proceedings2019019010

AMA Style

Vidal-Páez P, Derauw D, Fernández-Sarría A, Peralta M. 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). Proceedings. 2019; 19(1):10. https://doi.org/10.3390/proceedings2019019010

Chicago/Turabian Style

Vidal-Páez, Paulina, Dominique Derauw, Alfonso Fernández-Sarría, and Miguel Peralta. 2019. "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)" Proceedings 19, no. 1: 10. https://doi.org/10.3390/proceedings2019019010

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