Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis

被引:89
作者
Paradella, Waldir R. [1 ]
Ferretti, Alessandro [2 ]
Mura, Jose C. [1 ]
Colombo, Davide [2 ]
Gama, Fabio F. [1 ]
Tamburini, Andrea [2 ]
Santos, Athos R. [1 ]
Novali, Fabrizio [2 ]
Galo, Mauricio [3 ]
Camargo, Paulo O. [3 ]
Silva, Arnaldo Q. [4 ]
Silva, Guilherme G. [1 ]
Silva, Aristotelina [5 ]
Gomes, Leonardo L. [5 ]
机构
[1] Natl Inst Space Res INPE, BR-12227010 Sao Jose Dos Campos, Brazil
[2] Tele Rilevamento Europa TRE Srl, I-20143 Milan, Italy
[3] Sao Paulo State Univ, UNESP, FCT, BR-19060900 Presidente Prudente, Brazil
[4] Fed Univ Para, IG, UFPA, BR-66075110 Belem, Para, Brazil
[5] Vale SA, DIFN, GEDEN, GAGHN, BR-68516000 Serra Dos Carajas, Brazil
基金
巴西圣保罗研究基金会;
关键词
DInSAR; TerraSAR-X; Mining areas; Geodetic monitoring; Open pit deformation; Amazon region; RAIN-FOREST ENVIRONMENT; PERMANENT SCATTERERS; MINING AREAS; LANDSAT; TM;
D O I
10.1016/j.enggeo.2015.04.015
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The Carajas mineral province encompasses the world's largest iron reserves with excavation carried out through open pit benching. Mining operations in the area have significant areas of rock mass movements and surface displacements that potentially lead to slope instabilities with risks to personnel, equipment and production. Instabilities can be expected due to deep excavations in rock masses of low geomechanical quality, blasting practices and heavy precipitation. In this paper, ground instabilities are monitored through an integrated SAR analysis based on a data-stack of 33 TerraSAR-X images. This approach was designed to monitor distinct displacement regimes, ranging from small to high deformation rates, and to map surface changes, based on variations of radar reflectivity. Results were compared with field information (total station/prisms, ground based radar, geological and geomechanical maps), and the approach showed to be effective for monitoring ground deformation in the region. Due to its capabilities (synoptic view, high accuracy, dense grid sampling), the complementary use of space-based SAR with field monitoring systems proved to be strategic for operational mining planning and risk assessment in this challenging environment. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:61 / 78
页数:18
相关论文
共 45 条
[1]  
[Anonymous], 2013, GEOINFORMATICS
[2]  
Beisiegel V.R., 1973, Revista Brasileira de Geociencias, V3, P215
[3]  
Bieniawski Z.T., 1989, Engineering Rock Mass Classifications: A Complete Manual for Engineers and Geologists in Mining, Civil, and Petroleum Engineering
[4]  
BVP, 2011, 07010ECART0303700 BV
[5]   Detection of mining related ground instabilities using the permanent scatterers technique - a case study in the east of France [J].
Colesanti, C ;
le Mouelic, S ;
Bennani, M ;
Raucoules, D ;
Carnec, C ;
Ferretti, A .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (01) :201-207
[6]   SAR monitoring of progressive and seasonal ground deformation using the permanent scatterers technique [J].
Colesanti, C ;
Ferretti, A ;
Novali, F ;
Prati, C ;
Rocca, F .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (07) :1685-1701
[7]   Early detection and in-depth analysis of deformation phenomena by radar interferometry [J].
Crosetto, M ;
Crippa, B ;
Biescas, E .
ENGINEERING GEOLOGY, 2005, 79 (1-2) :81-91
[8]   Relationship Between PALSAR Backscatter and Surface-Roughness Parameters From Iron Laterites in Carajas, Amazon Region [J].
da Silva, Arnaldo de Queiroz ;
Paradella, Waldir R. ;
Freitas, Corina C. ;
de Oliveira, Cleber Gonzales .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (12) :4027-4031
[9]   Assessment of radargrammetric DSMs from TerraSAR-X Stripmap images in a mountainous relief area of the Amazon region [J].
de Oliveira, Cleber Gonzales ;
Paradella, Waldir Renato ;
da Silva, Arnaldo de Queiroz .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2011, 66 (01) :67-72
[10]  
Ferretti A, 2014, SATELLITE INSAR DATA: RESERVOIR MONITORING FROM SPACE, P1, DOI 10.3997/9789073834712