Surface Deformation From SAR Applied to Mine Subsidence

Chapter Contents (Back)
Shape from Radar. Surface Deformation. Mine Subsidence.

Perski, Z.[Zbigniew],
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Satellite-based synthetic aperture radar interferometry could be an effective monitoring technique for geologists and regulators who oversee underground coal mining. BibRef

Zhou, L., Zhang, D., Wang, J., Huang, Z., Pan, D.,
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Hu, J., Ding, X.L., Li, Z.W., Zhu, J.J., Sun, Q., Zhang, L.,
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Hu, J., Ding, X.L., Zhang, L., Sun, Q., Li, Z.W., Zhu, J.J., Lu, Z.,
Estimation of 3-D Surface Displacement Based on InSAR and Deformation Modeling,
GeoRS(55), No. 4, April 2017, pp. 2007-2016.
geophysical techniques BibRef

Hu, J., Zhu, J.J., Li, Z.W., Ding, X.L., Wang, C.C., Sun, Q.,
Robust Estimating Three-Dimensional Ground Motions from Fusion of InSAR and GPS Measurements,

Sun, Q., Li, Z.W., Ding, X.L., Zhu, J.J., Hu, J.,
Multi-Temporal InSAR Data Fusion for Investigating Mining Subsidence,

Liu, D.L.[Dong-Lie], Shao, Y.F.[Yun-Feng], Liu, Z.G.[Zhen-Guo], Riedel, B.[Björn], Sowter, A.[Andrew], Niemeier, W.[Wolfgang], Bian, Z.[Zhengfu],
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Przylucka, M.[Maria], Herrera, G.[Gerardo], Graniczny, M.[Marek], Colombo, D.[Davide], Béjar-Pizarro, M.[Marta],
Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland),
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Fan, H.D.[Hong-Dong], Gao, X.X.[Xiao-Xiong], Yang, J.[Junkai], Deng, K.[Kazhong], Yu, Y.[Yang],
Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods,
RS(7), No. 7, 2015, pp. 9166.
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Mura, J.C.[José Claudio], Paradella, W.R.[Waldir R.], Gama, F.F.[Fabio F.], Silva, G.G.[Guilherme G.], Galo, M.[Mauricio], Camargo, P.O.[Paulo O.], Silva, A.Q.[Arnaldo Q.], Silva, A.[Aristotelina],
Monitoring of Non-Linear Ground Movement in an Open Pit Iron Mine Based on an Integration of Advanced DInSAR Techniques Using TerraSAR-X Data,
RS(8), No. 5, 2016, pp. 409.
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Du, Z.[Zheyuan], Ge, L.L.[Lin-Lin], Li, X.J.[Xiao-Jing], Ng, A.H.M.[Alex Hay-Man],
Subsidence Monitoring over the Southern Coalfield, Australia Using both L-Band and C-Band SAR Time Series Analysis,
RS(8), No. 7, 2016, pp. 543.
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Yang, Z.F., Li, Z.W., Zhu, J.J., Hu, J., Wang, Y.J., Chen, G.L.,
InSAR-Based Model Parameter Estimation of Probability Integral Method and Its Application for Predicting Mining-Induced Horizontal and Vertical Displacements,
GeoRS(54), No. 8, August 2016, pp. 4818-4832.
geophysical techniques BibRef

Yang, Z.F., Li, Z.W., Zhu, J.J., Preusse, A., Yi, H.W., Wang, Y.J., Papst, M.,
An Extension of the InSAR-Based Probability Integral Method and Its Application for Predicting 3-D Mining-Induced Displacements Under Different Extraction Conditions,
GeoRS(55), No. 7, July 2017, pp. 3835-3845.
Deformable models, Geometry, Predictive models, Rocks, Solid modeling, Synthetic aperture radar, 3-D displacement prediction, Boltzmann function, interferometric synthetic aperture radar (InSAR), mining subsidence, probability, integral, method, (PIM) BibRef

Yang, Z.[Zefa], Li, Z.W.[Zhi-Wei], Zhu, J.J.[Jian-Jun], Yi, H.[Huiwei], Hu, J.[Jun], Feng, G.C.[Guang-Cai],
Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703

Ma, C.[Chao], Cheng, X.Q.[Xiao-Qian], Yang, Y.[Yali], Zhang, X.[Xiaoke], Guo, Z.Z.[Zeng-Zhang], Zou, Y.F.[You-Feng],
Investigation on Mining Subsidence Based on Multi-Temporal InSAR and Time-Series Analysis of the Small Baseline Subset: Case Study of Working Faces 22201-1/2 in Bu'ertai Mine, Shendong Coalfield, China,
RS(8), No. 11, 2016, pp. 951.
DOI Link 1612

Yang, Z.[Zefa], Li, Z.W.[Zhi-Wei], Zhu, J.J.[Jian-Jun], Preusse, A.[Axel], Yi, H.[Huiwei], Hu, J.[Jun], Feng, G.C.[Guang-Cai], Papst, M.[Markus],
Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705

Yang, Z.[Zefa], Li, Z.W.[Zhi-Wei], Zhu, J.J.[Jian-Jun], Preusse, A.[Axel], Hu, J.[Jun], Feng, G.C.[Guang-Cai], Papst, M.[Markus],
Time-Series 3-D Mining-Induced Large Displacement Modeling and Robust Estimation From a Single-Geometry SAR Amplitude Data Set,
GeoRS(56), No. 6, June 2018, pp. 3600-3610.
Azimuth, Geometry, Geophysical measurements, Robustness, Solid modeling, Strain, Synthetic aperture radar, time series BibRef

Yang, Z.[Zefa], Li, Z.W.[Zhi-Wei], Zhu, J.J.[Jian-Jun], Preusse, A.[Alex], Hu, J.[Jun], Feng, G., Yi, H.[Huiwei], Papst, M.,
An Alternative Method for Estimating 3-D Large Displacements of Mining Areas from a Single SAR Amplitude Pair Using Offset Tracking,
GeoRS(56), No. 7, July 2018, pp. 3645-3656.
Azimuth, Geometry, Imaging, Radar tracking, Robustness, Strain, Synthetic aperture radar, 3-D displacements, SAR, offset tracking (OT) BibRef

Yang, Z.[Zefa], Li, Z.W.[Zhi-Wei], Zhu, J.J.[Jian-Jun], Yi, H.[Huiwei], Feng, G.C.[Guang-Cai], Hu, J.[Jun], Wu, L.X.[Li-Xin], Preusse, A.[Alex], Wang, Y.[Yunjia], Papst, M.[Markus],
Locating and defining underground goaf caused by coal mining from space-borne SAR interferometry,
PandRS(135), No. Supplement C, 2018, pp. 112-126.
Elsevier DOI 1712
InSAR, Mining subsidence, Underground goaf, Geophysical detection BibRef

Ou, D.[Depin], Tan, K.[Kun], Du, Q.[Qian], Chen, Y.[Yu], Ding, J.W.[Jian-Wei],
Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808

Zhang, L.P.[Li-Ping], Zhang, S.[Shiwen], Huang, Y.[Yajie], Xing, A.[An], Zhuo, Z.Q.[Zhi-Qing], Sun, Z.X.[Zhong-Xiang], Li, Z.[Zhen], Cao, M.[Meng], Huang, Y.[Yuanfang],
Prioritizing Abandoned Mine Lands Rehabilitation: Combining Landscape Connectivity and Pattern Indices with Scenario Analysis Using Land-Use Modeling,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Fan, H.D.[Hong-Dong], Lu, L.[Lu], Yao, Y.H.[Ya-Hui],
Method Combining Probability Integration Model and a Small Baseline Subset for Time Series Monitoring of Mining Subsidence,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810

Zheng, M.[Meinan], Deng, K.[Kazhong], Fan, H.D.[Hong-Dong], Du, S.[Sen],
Monitoring and Analysis of Surface Deformation in Mining Area Based on InSAR and GRACE,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810

Kirsch, M.[Moritz], Lorenz, S.[Sandra], Zimmermann, R.[Robert], Tusa, L.[Laura], Möckel, R.[Robert], Hödl, P.[Philip], Booysen, R.[René], Khodadadzadeh, M.[Mahdi], Gloaguen, R.[Richard],
Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810

Mura, J.C.[José C.], Gama, F.F.[Fábio F.], Paradella, W.R.[Waldir R.], Negrão, P.[Priscila], Carneiro, S.[Samuel], de Oliveira, C.G.[Cleber G.], Brandão, W.S.[Waldiza S.],
Monitoring the Vulnerability of the Dam and Dikes in Germano Iron Mining Area after the Collapse of the Tailings Dam of Fundão (Mariana-MG, Brazil) Using DInSAR Techniques with TerraSAR-X Data,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811

Wei, L.H.[Lian-Huan], Zhang, Y.[Yun], Zhao, Z.G.[Zhan-Guo], Zhong, X.Y.[Xiao-Yu], Liu, S.J.[Shan-Jun], Mao, Y.C.[Ya-Chun], Li, J.[Jiayu],
Analysis of Mining Waste Dump Site Stability Based on Multiple Remote Sensing Technologies,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Roccheggiani, M.[Matteo], Piacentini, D.[Daniela], Tirincanti, E.[Emanuela], Perissin, D.[Daniele], Menichetti, M.[Marco],
Detection and Monitoring of Tunneling Induced Ground Movements Using Sentinel-1 SAR Interferometry,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903

Xu, Z.H.[Zhi-Hua], Xu, E.[Ershuai], Wu, L.X.[Li-Xin], Liu, S.J.[Shan-Jun], Mao, Y.[Yachun],
Registration of Terrestrial Laser Scanning Surveys Using Terrain-Invariant Regions for Measuring Exploitative Volumes over Open-Pit Mines,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903

Porsani, J.L.[Jorge Luís], de Jesus, F.A.N.[Felipe Augusto Nascimento], Stangari, M.C.[Marcelo Cesar],
GPR Survey on an Iron Mining Area after the Collapse of the Tailings Dam I at the Córrego do Feijão Mine in Brumadinho-MG, Brazil,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904

Ilieva, M.[Maya], Polanin, P.[Piotr], Borkowski, A.[Andrzej], Gruchlik, P.[Piotr], Smolak, K.[Kamil], Kowalski, A.[Andrzej], Rohm, W.[Witold],
Mining Deformation Life Cycle in the Light of InSAR and Deformation Models,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904

Du, S.[Sen], Wang, Y.[Yunjia], Zheng, M.[Meinan], Zhou, D.[Dawei], Xia, Y.P.[Yuan-Ping],
Goaf Locating Based on InSAR and Probability Integration Method,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
Mining issues. BibRef

Milczarek, W.[Wojciech],
Application of a Small Baseline Subset Time Series Method with Atmospheric Correction in Monitoring Results of Mining Activity on Ground Surface and in Detecting Induced Seismic Events,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905

Hlavácová, I., Halounová, L., Stanislav, P.,
Sentinel-1 Insar Processing Of Corner Reflector Information In The Northern-Bohemian Coal Basin,
ISPRS16(B7: 763-767).
DOI Link 1610

Fan, H.D., Gao, X.X., Cheng, D., Zhao, W.Y., Zhao, C.L.,
Three Dimensional Deformation of Mining Area Detection by InSAR and Probability Integral Model,
DOI Link 1508

Huang, J.L., Deng, K.Z., Fan, H.D., Yang, J.K.,
Application of Surface Deformation Monitoring in Mining Area by the Fusion of InSAR and Laser Scan Data,
DOI Link 1508

Yang, Z.F., Li, Z.W., Zhu, J.J., Hu, J., Wang, Y.J., Chen, G.L.,
Analysing the Law of Dynamic Subsidence in Mining Area by Fusing INSAR and Leveling Measurements,
HTML Version. 1311

Fu, P.Y.[Pei-Yi], Ge, Y.H.[Yong-Hui], Ma, C.[Chao], Jia, X.M.[Xiu-Ming], Shan, X.J.[Xin-Jian], Li, F.F.[Fang-Fang], Zhang, X.K.[Xiao-Ke],
A Study of Land Subsidence by Radar Remote Sensing at Datong Jurassic & Carboniferous Period Coalfield,

Walter, D., Wegmüller, U., Spreckels, V., Hannemann, W., Busch, W.,
Interferometric monitoring of an active underground mining field with high-resolution SAR sensors,
PDF File. 0906

Fang, M.[Miao], Yan, M.X.[Ming-Xing], Qi, X.Y.[Xiao-Ying], Ye, C.M.[Cheng-Ming], Baocun, W.[Wang], Rui, L.[Liu], Chen, J.H.[Jian-Hua],
Application of DInSAR and GIS for Underground Mine Subsidence Monitoring,
ISPRS08(B1: 251 ff).
PDF File. 0807

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Microwave Sensors and Analysis .

Last update:Sep 9, 2019 at 16:26:55