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Proceedings Paper

Monitoring of surface movement in a large area of the open pit iron mines (Carajás, Brazil) based on A-DInSAR techniques using TerraSAR-X data
Author(s): José C. Mura; Waldir R. Paradella; Fabio F. Gama; Guilherme G. Silva
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Paper Abstract

PSI (Persistent Scatterer Interferometry) analysis of large area is always a challenging task regarding the removal of the atmospheric phase component. This work presents an investigation of ground deformation measurements based on a combination of DInSAR Time-Series (DTS) and PSI techniques, applied in a large area of open pit iron mines located in Carajás (Brazilian Amazon Region), aiming at detect high rates of linear and nonlinear ground deformation. These mines have presented a historical of instability and surface monitoring measurements over sectors of the mines (pit walls) have been carried out based on ground based radar and total station (prisms). By using a priori information regarding the topographic phase error and phase displacement model derived from DTS, temporal phase unwrapping in the PSI processing and the removal of the atmospheric phases can be performed more efficiently. A set of 33 TerraSAR-X-1 images, acquired during the period from March 2012 to April 2013, was used to perform this investigation. The DTS analysis was carried out on a stack of multi-look unwrapped interferogram using an extension of SVD to obtain the Least-Square solution. The height errors and deformation rates provided by the DTS approach were subtracted from the stack of interferogram to perform the PSI analysis. This procedure improved the capability of the PSI analysis to detect high rates of deformation as well as increased the numbers of point density of the final results. The proposed methodology showed good results for monitoring surface displacement in a large mining area, which is located in a rain forest environment, providing very useful information about the ground movement for planning and risks control.

Paper Details

Date Published: 18 October 2016
PDF: 11 pages
Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100041P (18 October 2016); doi: 10.1117/12.2242064
Show Author Affiliations
José C. Mura, Instituto Nacional de Pesquisas Espaciais (Brazil)
Waldir R. Paradella, Instituto Nacional de Pesquisas Espaciais (Brazil)
Fabio F. Gama, Instituto Nacional de Pesquisas Espaciais (Brazil)
Guilherme G. Silva, Instituto Nacional de Pesquisas Espaciais (Brazil)

Published in SPIE Proceedings Vol. 10004:
Image and Signal Processing for Remote Sensing XXII
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

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