Authors: Macdonald, BC; Sharon, R; Muir, S; Iannacone, JP; Falorni, G; Michaud, JS
Editors: Dight, PM
Conference: First Asia Pacific Slope Stability in Mining Conference, 6–8 September, Brisbane
Published: Australian Centre for Geomechanics, Proceedings of the First Asia Pacific Slope Stability in Mining Conference, pp.673-683, Perth
The Porgera Mine is located in the highlands of Papua New Guinea in a heavily forested region where obtaining an accurate geotechnical overview for the entire site is challenging. To address these challenges, an InSAR monitoring program was deployed to provide a complete picture of surface movement over the 100 square kilometre operating site and surrounding area without the deployment of any ground targets or infrastructure.
An advanced InSAR approach was used to produce a temporal history of the line of ¬site displacement values over the surface assets of the mine. It also produced change detection maps where the land cover has been altered, and rapid motion tracking (RMT) where the detected velocities are too high for conventional InSAR analysis. To maximise value derived from information extracted from these three processes, a synoptic map with six movement classes representing observations as low as a few millimetres per year and up to tens of meters per year, is developed to provide the geotechnical engineer with an overview of surface deformation over the entire Porgera site area. This paper provides a summary of the development and application of the synoptic classification map with associated surface movement classes.
Keywords: slope displacement, InSAR, synoptic velocity map
Macdonald, BC, Sharon, R, Muir, S, Iannacone, JP, Falorni, G & Michaud, JS 2016, 'InSAR derived synoptic ground surface deformation map of the Porgera Mine, Papua New Guinea', in PM Dight (ed.), Proceedings of the First Asia Pacific Slope Stability in Mining Conference
, Australian Centre for Geomechanics, Perth, pp. 673-683.
Bürgmann, R, Rosen, PA & Fielding, EJ 2000, ‘Synthetic Aperture Radar Interferometry to Measure Earth’s Surface Topography and Its Deformation’, Annual Review of Earth and Planetary Sciences, vol. 28, no. 1, pp. 169–209.
Bürgmann, R, Hilley, G, Ferretti, A & Novali, F 2006, ‘Resolving vertical tectonics in the San Francisco Bay Area from permanent scatterer InSAR and GPS analysis’, Geology, vol. 34, no. 3, pp. 221–224.
Colesanti, C, Ferretti, A, Prati, & Rocca, F 2003, ‘Monitoring landslides and tectonic motions with the Permanent Scatterers Technique’, Engineering Geology, vol. 68, pp. 3–14.
Ferretti, A, Prati, C & Rocca, F 2000, ‘Nonlinear subsidence rate estimations using permanent scatteres in differential sar interferometry’, IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no. 5, pp. 2202–2212.
Ferretti, A, Prati, C & Rocca, F 2001, ‘Permanent scatterers in SAR interferometry’, IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 1, pp. 8–20.
Ferretti, A, Savio, G, Barzaghi, R, Borghi, A, Musazzi, S, Novali, F, Prati, C & Rocca, F 2007, ‘Submillimeter accuracy of InSAR time series: Experimental validation’, IEEE Transactions on Geoscience and Remote Sensing, vol. 45, pp. 1142–1153.
Ferretti, A, Fumagalli, A, Novali, F, Prati, C, Rocca, F & Rucci, A 2011a, ‘A new algorithm for processing interferometric data-stacks: SqueeSAR™’, IEEE Transactions on Geoscience and Remote Sensing, vol. 99, pp. 1–11.
Ferretti, A, Tamburini, A, Novali, F, Fumagalli, A, Falorni, G & Rucci, A 2011b, ‘Impact of high resolution radar imagery on reservoir monitoring’, Energy Procedia, vol. 4, pp. 3465–3471.
Klemm, H, Quseimi, I, Novali, F, Ferretti, A & Tamburini, A 2010, ‘Monitoring horizontal and vertical surface deformation over a hydrocarbon reservoir by PSInSAR’, First Break, vol. 28, pp. 29–37.
Massonnet, D, Rossi, M, Carmona, C, Adragna, F, Peltzer, G, Feigl, K & Rabaute, T 1993, ‘The displacement field of the Landers earthquake mapped by radar interferometry’, Nature, vol. 364, pp. 138–142.
Tamburini, A, Del Conte, S, Larini, G, Lopardo, L, Malaguti, C & Vescovi, P 2013, ‘Application of SqueeSAR™ to the characterization of deep seated gravitational slope deformation: the Berceto case study (Parma, Italy)’, in C Margottini, P Canuti, K Sassa (eds.), Landslide Science and Practice, Springer, pp. 437–443.