Argentina: Satellites have detected ground deformation under way above a major subterranean magma body in the central Andes mountains. In a study published in Science, scientists used radar data from the ERS and Envisat missions to study an unusual uplift near the Uturuncu volcano, which had been dormant for 270,000 years. The satellites show that the ground in this area has been rising by about 10 mm per year over the past 20 years. The surrounding area, however, is sinking at a slower rate of about 2 mm per year. With the wide-brimmed hat-like shape this creates, the study team has nicknamed this the ‘sombrero uplift’.
The deformation is attributed to a ballooning of a buoyant volume of molten rock at the top of the Altiplano-Puna magma body.
The authors suggest that much of the melt is being withdrawn from the adjacent parts of the magma body, causing the peripheral subsidence.
The ground deformation was measured using Interferometric Synthetic Aperture Radar ( InSAR), a remote sensing technique where two or more radar images over the same area are combined to detect slight surface changes occurring between acquisitions.
Changes on the ground cause changes in the radar signal and lead to rainbow-coloured interference patterns in the combined image, known as a ‘SAR interferogram’.
In order to get a three-dimensional look at the area of interest, in 2006 the study team asked the ESA to task the ERS-2 and Envisat satellites to acquire more data from both the northbound and southbound orbits over Altiplano-Puna.
“It was really important to have good data from different lines of sight, as this allowed us to estimate contributions from vertical and horizontal motion of Earth’s surface, and place crucial constraints on depth and mechanism of the inflation source,” said Yuri Fialko, Professor of Geophysics at the University of California San Diego, and lead author of the paper.
“Back in 2006, it looked like the satellites stopped acquiring data from the ascending orbits over the area of interest. Fortunately, the ESA was very responsive to our requests, and generated an excellent dataset that made our study possible,” he added.