Surface Deformation From SAR Applied to Mine Subsidence

Chapter Contents (Back)
Shape from Radar. Surface Deformation. Subsidence. Deformation. Mine Subsidence. Including other surface analysis of mines.
See also Landslide Analysis, Damage Assessment, Deformations.

Perski, Z.[Zbigniew],
The interpretation of ERS-1 and ERS-2 InSAR data for the mining subsidence monitoring in upper Silesian coal basin, Poland,
IAPRS(33), 2000, pp. 1137-1141. BibRef 0001

Raucoules, D.[Daniel], Maisons, C.[Christophe], Carnec, C.[Claudie], Le Mouelic, S.[Stéphane], King, C.[Christine], Hosford, S.[Steven],
Monitoring of slow ground deformation by ERS radar interferometry on the Vauvert salt mine (France): Comparison with ground-based measurement,
RSE(88), No. 4, December 2003, pp. 468-478.
Elsevier DOI 0401

Ge, L.L.[Lin-Lin], Chang, H.C.[Hsing-Chung], Rizos, C.[Chris],
Mine Subsidence Monitoring Using Multi-source Satellite SAR Images,
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ERS-1/2, JERS-1, Radarsat-1, and Envisat satellite imagery were analysed using differential interferometric synthetic aperture radar to monitor mine subsidence in Australia with sub-centimeter accuracy when compared against ground survey profiles. BibRef

Yue, H.Y.[Huan-Yin], Liu, G.[Guang], Perski, Z.[Zbigniew], Guo, H.D.[Hua-Dong],
Satellite radar reveals land subsidence over coal mines,
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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

Hartwig, M.E.[Marcos E.], Paradella, W.R.[Waldir R.], Mura, J.C.[José C.],
Detection and Monitoring of Surface Motions in Active Open Pit Iron Mine in the Amazon Region, Using Persistent Scatterer Interferometry with TerraSAR-X Satellite Data,
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Zhou, L., Zhang, D., Wang, J., Huang, Z., Pan, D.,
Mapping Land Subsidence Related to Underground Coal Fires in the Wuda Coalfield (Northern China) Using a Small Stack of ALOS PALSAR Differential Interferograms,
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Hu, J., Ding, X.L., Li, Z.W., Zhu, J.J., Sun, Q., Zhang, L.,
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3-D measurements; Differential interferometric synthetic aperture radar (SAR) (InSAR) (DInSAR); BibRef

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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DOI Link 1506

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.
DOI Link 1608

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.
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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.
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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.
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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,
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DOI Link 1905

Su, Q.M.[Qiao-Mei], Zhang, J.[Jin], Zhao, S.M.[Shang-Min], Wang, L.[Li], Liu, J.[Jin], Guo, J.[Jianli],
Comparative Assessment of Three Nonlinear Approaches for Landslide Susceptibility Mapping in a Coal Mine Area,
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Hu, W.M.[Wen-Min], Wu, L.X.[Li-Xin], Zhang, W.[Wei], Liu, B.[Bin], Xu, J.X.[Jia-Xing],
Ground Deformation Detection Using China's ZY-3 Stereo Imagery in an Opencast Mining Area,
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Sivitskis, A.J.[Alexander J.], Lehner, J.W.[Joseph W.], Harrower, M.J.[Michael J.], Dumitru, I.A.[Ioana A.], Paulsen, P.E.[Paige E.], Nathan, S.[Smiti], Viete, D.R.[Daniel R.], Al-Jabri, S.[Suleiman], Helwing, B.[Barbara], Wiig, F.[Frances], Moraetis, D.[Daniel], Pracejus, B.[Bernhard],
Detecting and Mapping Slag Heaps at Ancient Copper Production Sites in Oman,
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Pawluszek-Filipiak, K.[Kamila], Borkowski, A.[Andrzej],
Integration of DInSAR and SBAS Techniques to Determine Mining-Related Deformations Using Sentinel-1 Data: The Case Study of Rydultowy Mine in Poland,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Maxwell, A.E.[Aaron E.], Pourmohammadi, P.[Pariya], Poyner, J.D.[Joey D.],
Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep Learning and Digital Elevation Data,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002

Forkuor, G.[Gerald], Ullmann, T.[Tobias], Griesbeck, M.[Mario],
Mapping and Monitoring Small-Scale Mining Activities in Ghana using Sentinel-1 Time Series (2015-2019),
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003

Yan, Y.[Yueguan], Yan, H.[Haixu], Guo, J.[Junting], Dai, H.[Huayang],
Classification and Segmentation of Mining Area Objects in Large-Scale Spares Lidar Point Cloud Using a Novel Rotated Density Network,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link 2004

Karamvasis, K.[Kleanthis], Karathanassi, V.[Vassilia],
Performance Analysis of Open Source Time Series InSAR Methods for Deformation Monitoring over a Broader Mining Region,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005

Ilieva, M.[Maya], Rudzinski, L.[Lukasz], Pawluszek-Filipiak, K.[Kamila], Lizurek, G.[Grzegorz], Kudlacik, I.[Iwona], Tondas, D.[Damian], Olszewska, D.[Dorota],
Combined Study of a Significant Mine Collapse Based on Seismological and Geodetic Data: 29 January 2019, Rudna Mine, Poland,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006

Cwiakala, P.[Pawel], Gruszczynski, W.[Wojciech], Stoch, T.[Tomasz], Puniach, E.[Edyta], Mrochen, D.[Dawid], Matwij, W.[Wojciech], Matwij, K.[Karolina], Nedzka, M.[Michal], Sopata, P.[Pawel], Wójcik, A.[Artur],
UAV Applications for Determination of Land Deformations Caused by Underground Mining,
RS(12), No. 11, 2020, pp. xx-yy.
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Sui, L.C.[Li-Chun], Ma, F.[Fei], Chen, N.[Nan],
Mining Subsidence Prediction by Combining Support Vector Machine Regression and Interferometric Synthetic Aperture Radar Data,
IJGI(9), No. 6, 2020, pp. xx-yy.
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Ammirati, L.[Lorenzo], Mondillo, N.[Nicola], Rodas, R.A.[Ricardo Adolfo], Sellers, C.[Chester], di Martire, D.[Diego],
Monitoring Land Surface Deformation Associated with Gold Artisanal Mining in the Zaruma City (Ecuador),
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007

Samsonov, S.[Sergey], Baryakh, A.[Alexandr],
Estimation of Deformation Intensity above a Flooded Potash Mine Near Berezniki (Perm Krai, Russia) with SAR Interferometry,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010

Du, S.[Sen], Mallorqui, J.J.[Jordi J.], Fan, H.D.[Hong-Dong], Zheng, M.N.[Mei-Nan],
Improving PSI Processing of Mining Induced Large Deformations with External Models,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010

Benetatos, C.[Christoforos], Codegone, G.[Giulia], Ferraro, C.[Carmela], Mantegazzi, A.[Andrea], Rocca, V.[Vera], Tango, G.[Giorgio], Trillo, F.[Francesco],
Multidisciplinary Analysis of Ground Movements: An Underground Gas Storage Case Study,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011

McKenna, P.B.[Phillip B.], Lechner, A.M.[Alex M.], Phinn, S.[Stuart], Erskine, P.D.[Peter D.],
Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011

Chen, D.H.[Dong-Hui], Chen, H.[Huie], Zhang, W.[Wen], Cao, C.[Chen], Zhu, K.X.[Kuan-Xing], Yuan, X.Q.[Xiao-Qing], Du, Y.[Yanyan],
Characteristics of the Residual Surface Deformation of Multiple Abandoned Mined-Out Areas Based on a Field Investigation and SBAS-InSAR: A Case Study in Jilin, China,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011

Xia, Y.P.[Yuan-Ping], Wang, Y.J.[Yun-Jia],
InSAR- and PIM-Based Inclined Goaf Determination for Illegal Mining Detection,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012

Turner, R.E.[R. Eugene], Mo, Y.[Yu],
Salt Marsh Elevation Limit Determined after Subsidence from Hydrologic Change and Hydrocarbon Extraction,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101

Centeno, J.A.S., Kishi, R.T., Mitishita, E.,
Remote Sensing Time Series Analysis Aimed At Detecting and Monitoring Brazilian Iron Ore Mining Disasters,
DOI Link 2012

Pawluszek-Filipiak, K., Borkowski, A.,
Comparison of Psi and Dinsar Approach for the Subsidence Monitoring Caused By Coal Mining Exploitation,
DOI Link 2012

Yousefi, S.M., Arefi, H., Bahroudi, A.,
Detecting Probable Rockfalls in Open Pit Mines Based On UAV Point Clouds,
DOI Link 1912

Yang, C.H., Müterthies, A., Soergel, U.,
Workable Monitoring System Based On Spaceborne Sar Images for Mining Areas - Stings Development Project,
DOI Link 1912

Karagianni, A., Lazos, I., Chatzipetros, A.,
Remote Sensing Techniques In Disaster Management: Amynteon Mine Landslides, Greece,
DOI Link 1805

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:Jan 17, 2021 at 16:22:28