@Article{GamaParaMuraOliv:2019:CaStGe,
               author = "Gama, F{\'a}bio Furlan and Paradella, Waldir Renato and Mura, 
                         Jos{\'e} Cl{\'a}udio and Oliveira, Cleber Gonzales 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 Espacia}",
                title = "Advanced DINSAR analysis on dam stability monitoring: A case study 
                         in the Germano mining complex (Mariana, Brazil) with SBAS and PSI 
                         techniques",
              journal = "Remote Sensing Applications: Society and Environment",
                 year = "2019",
               volume = "16",
                pages = "100267",
                month = "Nov.",
             keywords = "tailings, Dam, SBAS, PSI, TerraSAR.",
             abstract = "This work presents an investigation of detection and monitoring of 
                         surface motions using Advanced Differential SAR Interferometry 
                         (A-DInSAR) with SBAS (Small Baseline Subset) and PSI (Persistent 
                         Scatterer Interferometry) techniques in the Germano iron mining 
                         complex region (Mariana, Brazil), after the collapse of the 
                         Fund{\~a}o tailing dam occurred on November 5th, 2015. The 
                         research was carried out aiming to provide useful information 
                         about ground movement monitoring, planning and risk assessment in 
                         the area after the tragic event. The analysis was performed using 
                         46 TerraSAR-X images and a Digital Elevation Model (DEM) obtained 
                         by Pleiades data. A-DInSAR processing provided the removal of the 
                         atmospheric phase artifacts, baseline related errors, DEM height 
                         error estimation and finally the ground displacement 
                         determination. The results pointed out that with both techniques 
                         it was possible to assess the stability conditions of the Germano 
                         mining assets, particularly the main structures of the Germano dam 
                         and the detection of small settlements in the mining tailings 
                         storage, pointing out that these may be an important components 
                         for risk management of open pit mining operations, including 
                         tailings dams.",
                  doi = "10.1016/j.rsase.2019.100267",
                  url = "http://dx.doi.org/10.1016/j.rsase.2019.100267",
                 issn = "2352-9385",
             language = "en",
           targetfile = "gama_advanced.pdf",
        urlaccessdate = "20 maio 2024"
}