@Article{GamaMuraParaOliv:2020:DePrBr,
author = "Gama, F{\'a}bio Furlan and Mura, Jos{\'e} Cl{\'a}udio and
Paradella, Waldir Renato and Oliveira, Cleber G. de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {VISIONA Tecnologia Espacial}",
title = "Deformations prior to the Brumadinho dam collapse revealed by
Sentinel-1 insar data using SBAS and PSI techniques",
journal = "Remote Sensing",
year = "2020",
volume = "12",
number = "21",
pages = "e3664",
month = "Nov.",
keywords = "Brumadinho, tailings dam, SBAS, PSI, Sentinel-1B.",
abstract = "Differential Interferometric SAR (DInSAR) has been used to monitor
surface deformations in open pit mines and tailings dams. In this
paper, ground deformations have been detected on the area of
tailings Dam-I at the C{\'o}rrego do Feij{\~a}o Mine
(Brumadinho, Brazil) before its catastrophic failure occurred on
25 January 2019. Two techniques optimized for different scattering
models, SBAS (Small BAseline Subset) and PSI (Persistent Scatterer
Interferometry), were used to perform the analysis based on 26
Sentinel-1B images in Interferometric Wide Swath (IW) mode, which
were acquired on descending orbits from 03 March 2018 to 22
January 2019. A WorldDEM Digital Surface Model (DSM) product was
used to remove the topographic phase component. The results
provided by both techniques showed a synoptic and informative view
of the deformation process affecting the study area, with the
detection of persistent trends of deformation on the crest,
middle, and bottom sectors of the dam face until its collapse, as
well as the settlements on the tailings. It is worth noting the
detection of an acceleration in the displacement time-series for a
short period near the failure. The maximum accumulated
displacements detected along the downstream slope face were
\−39 mm (SBAS) and \−48 mm (PSI). It is reasonable
to consider that Sentinel-1 would provide decision makers with
complementary motion information to the in situ monitoring system
for risk assessment and for a better understanding of the ongoing
instability phenomena affecting the tailings dam.",
doi = "10.3390/rs12213664",
url = "http://dx.doi.org/10.3390/rs12213664",
issn = "2072-4292",
language = "en",
targetfile = "remotesensing-12-03664.pdf",
urlaccessdate = "12 maio 2024"
}