@InProceedings{MuraGamParBraOli:2017:RePr,
author = "Mura, Jos{\'e} Cl{\'a}udio and Gama, F{\'a}bio Furlan and
Paradella, Waldir Renato and Brand{\~a}o, Waldiza Souza and
Oliveira, Cleber Gonzales de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Monitoramento de deslocamento de superf{\'{\i}}cie na
regi{\~a}o de Mariana-MG baseado em Interferometria Diferencial
SAR, utilizando dados do sat{\'e}lite TerraSAR-X: Resultados
Preliminares",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4755--4763",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This work presents an investigation of surface displacement using
Differential SAR Interferometry (DInSAR) time-series carried out
in Mariana-MG region where the Fund{\~a}o dam disaster occurred
on the 5th of November 2015, aiming at provide useful information
about ground movement for alarm, planning and risk assessment.
DinSAR time-series analysis was performed using 15 TerraSAR-X
images. The temporal ground displacement was retrieved by using
Least-Squares (LS) solution based on Singular Value Decomposition
(SVD) as described in the SBAS (Small Baseline Subset) technique.
The atmospheric phase artifacts were filtered out in the spacetime
domain and the DEM height errors were estimated based on the
normal baseline diversity. Two software package were used in this
analysis, the SARscape, based on SBAS approach, and the Gamma
Remote Sensing, using the DTS (DInSAR Time-Series) approach, based
on a modified version of the SBAS, with a set of additional
weighted constrain on the acceleration of the ground displacement.
The results obtained with the two processing approach are shown as
well as some questions related with characteristics of the
analyzed area and the number of scenes used in this analysis.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59312",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM3L8",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3L8",
targetfile = "59312.pdf",
type = "Sensoriamento remoto de microondas",
urlaccessdate = "27 abr. 2024"
}