4.12.8.2.2 Surface Deformation From SAR Applied to Mine Subsidence

Chapter Contents (Back)
Shape from Radar. Surface Deformation. Subsidence. Deformation. Mine Subsidence. Mining. Including other surface analysis of mines.
See also Landslide Detection, Analysis, Damage Assessment, Deformations.
See also Mine Reclamation, Mine Remediation, Restoration, Mining Restoration.
See also Open Pit Mines, Analysis, Detection.
See also Surface Deformation from SAR Applied to Volcanoes.
See also Tailings Ponds, Mine Tailings.

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
BibRef

Ge, L.L.[Lin-Lin], Chang, H.C.[Hsing-Chung], Rizos, C.[Chris],
Mine Subsidence Monitoring Using Multi-source Satellite SAR Images,
PhEngRS(73), No. 3, March 2007, pp. 259-266.
WWW Link. 0704
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,
SPIE(Newsroom), November 14, 2011
DOI Link 1111
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.,
Mapping Land Subsidence Related to Underground Coal Fires in the Wuda Coalfield (Northern China) Using a Small Stack of ALOS PALSAR Differential Interferograms,
RS(5), No. 3, March 2013, pp. 1152-1176.
DOI Link 1304
BibRef

Hu, J., Ding, X.L., Li, Z.W., Zhu, J.J., Sun, Q., Zhang, L.,
Kalman-Filter-Based Approach for Multisensor, Multitrack, and Multitemporal InSAR,
GeoRS(51), No. 7, 2013, pp. 4226-4239.
IEEE DOI 1307
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.
IEEE DOI 1704
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,
ISIDF11(1-4).
IEEE DOI 1111
BibRef

Sun, Q., Li, Z.W., Ding, X.L., Zhu, J.J., Hu, J.,
Multi-Temporal InSAR Data Fusion for Investigating Mining Subsidence,
ISIDF11(1-4).
IEEE DOI 1111
BibRef

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],
Evaluation of InSAR and TomoSAR for Monitoring Deformations Caused by Mining in a Mountainous Area with High Resolution Satellite-Based SAR,
RS(6), No. 2, 2014, pp. 1476-1495.
DOI Link 1403
BibRef

Liu, P.[Peng], Li, Q.Q.[Qing-Quan], Li, Z.H.[Zhen-Hong], Hoey, T.[Trevor], Liu, Y.X.[Yan-Xiong], Wang, C.S.[Chi-Sheng],
Land Subsidence over Oilfields in the Yellow River Delta,
RS(7), No. 2, 2015, pp. 1540-1564.
DOI Link 1503
BibRef

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),
RS(7), No. 5, 2015, pp. 5300-5328.
DOI Link 1506
BibRef

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.
DOI Link 1506
BibRef

Du, Z.Y.[Zhe-Yuan], 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
BibRef

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.
IEEE DOI 1608
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.
IEEE DOI 1706
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
BibRef

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
BibRef

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
BibRef

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.
IEEE DOI 1806
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.
IEEE DOI 1807
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
BibRef

Zhang, L.P.[Li-Ping], Zhang, S.W.[Shi-Wen], Huang, Y.J.[Ya-Jie], Xing, A.[An], Zhuo, Z.Q.[Zhi-Qing], Sun, Z.X.[Zhong-Xiang], Li, Z.[Zhen], Cao, M.[Meng], Huang, Y.F.[Yuan-Fang],
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Du, S.[Sen], Wang, Y.[Yunjia], Zheng, M.[Meinan], Zhou, D.W.[Da-Wei], 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
BibRef

Su, Q.M.[Qiao-Mei], Zhang, J.[Jin], Zhao, S.M.[Shang-Min], Wang, L.[Li], Liu, J.[Jin], Guo, J.L.[Jian-Li],
Comparative Assessment of Three Nonlinear Approaches for Landslide Susceptibility Mapping in a Coal Mine Area,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

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,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

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,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Sopata, P.[Pawel], Stoch, T.[Tomasz], Wójcik, A.[Artur], Mrochen, D.[Dawid],
Land Surface Subsidence Due to Mining-Induced Tremors in the Upper Silesian Coal Basin (Poland): Case Study,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

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
BibRef

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
BibRef

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
BibRef

Yan, Y.G.[Yue-Guan], Yan, H.X.[Hai-Xu], Guo, J.T.[Jun-Ting], Dai, H.Y.[Hua-Yang],
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
BibRef

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
BibRef

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
BibRef

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.
DOI Link 2006
BibRef

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.
DOI Link 2006
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.Y.[Yan-Yan],
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
BibRef

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
BibRef

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
BibRef

Puniach, E.[Edyta], Gruszczynski, W.[Wojciech], Cwiakala, P.[Pawel], Matwij, W.[Wojciech],
Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining,
PandRS(174), 2021, pp. 282-303.
Elsevier DOI 2103
Orthomosaic, Multi-temporal image matching, Displacement field, Unmanned aerial vehicle, Underground mining BibRef

Riyas, M.J.[Moidu Jameela], Syed, T.H.[Tajdarul Hassan], Kumar, H.[Hrishikesh], Kuenzer, C.[Claudia],
Detecting and Analyzing the Evolution of Subsidence Due to Coal Fires in Jharia Coalfield, India Using Sentinel-1 SAR Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

López-Vinielles, J.[Juan], Fernández-Merodo, J.A.[José A.], Ezquerro, P.[Pablo], García-Davalillo, J.C.[Juan C.], Sarro, R.[Roberto], Reyes-Carmona, C.[Cristina], Barra, A.[Anna], Navarro, J.A.[José A.], Krishnakumar, V.[Vrinda], Alvioli, M.[Massimiliano], Herrera, G.[Gerardo],
Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Dong, L.K.[Long-Kai], Wang, C.[Chao], Tang, Y.X.[Yi-Xian], Tang, F.[Fuquan], Zhang, H.[Hong], Wang, J.[Jing], Duan, W.[Wei],
Time Series InSAR Three-Dimensional Displacement Inversion Model of Coal Mining Areas Based on Symmetrical Features of Mining Subsidence,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Chen, B.Q.[Bing-Qian], Mei, H.[Han], Li, Z.H.[Zhen-Hong], Wang, Z.S.[Zheng-Shuai], Yu, Y.[Yang], Yu, H.[Hao],
Retrieving Three-Dimensional Large Surface Displacements in Coal Mining Areas by Combining SAR Pixel Offset Measurements with an Improved Mining Subsidence Model,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Sun, X.[Xinyao], Zimmer, A.[Aaron], Mukherjee, S.[Subhayan], Ghuman, P.[Parwant], Cheng, I.[Irene],
IGS-CMAES: A Two-Stage Optimization for Ground Deformation and DEM Error Estimation in Time Series InSAR Data,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Guilhot, D.[Denis], Martinez del Hoyo, T.[Toni], Bartoli, A.[Andrea], Ramakrishnan, P.[Pooja], Leemans, G.[Gijs], Houtepen, M.[Martijn], Salzer, J.[Jacqueline], Metzger, J.S.[John S.], Maknavicius, G.[Gintaris],
Internet-of-Things-Based Geotechnical Monitoring Boosted by Satellite InSAR Data,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
Combine surface sensors with SAR for monitoring. BibRef

Nie, X.R.[Xin-Ran], Hu, Z.Q.[Zhen-Qi], Zhu, Q.[Qi], Ruan, M.Y.[Meng-Ying],
Research on Temporal and Spatial Resolution and the Driving Forces of Ecological Environment Quality in Coal Mining Areas Considering Topographic Correction,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Zhao, G.[Gang], Wang, L.[Liuyu], Deng, K.[Kazhong], Wang, M.[Maomei], Xu, Y.[Yi], Zheng, M.[Meinan], Luo, Q.[Qing],
An Adaptive Offset-Tracking Method Based on Deformation Gradients and Image Noises for Mining Deformation Monitoring,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Li, T.T.[Teng-Teng], Zhang, H.Z.[Hong-Zhen], Fan, H.D.[Hong-Dong], Zheng, C.L.[Chun-Liu], Liu, J.[Jiuli],
Position Inversion of Goafs in Deep Coal Seams Based on DS-InSAR Data and the Probability Integral Methods,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Yuan, M.Z.[Ming-Ze], Li, M.[Mei], Liu, H.[Hui], Lv, P.Y.[Ping-Yang], Li, B.[Ben], Zheng, W.B.[Wen-Bin],
Subsidence Monitoring Base on SBAS-InSAR and Slope Stability Analysis Method for Damage Analysis in Mountainous Mining Subsidence Regions,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhang, B.[Bochen], Wu, S.B.[Song-Bo], Ding, X.L.[Xiao-Li], Wang, C.S.[Chi-Sheng], Zhu, J.S.[Jia-Song], Li, Q.Q.[Qing-Quan],
Use of Multiplatform SAR Imagery in Mining Deformation Monitoring with Dense Vegetation Coverage: A Case Study in the Fengfeng Mining Area, China,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhang, W.H.[Wei-Hao], Shi, J.C.[Jian-Cun], Yi, H.W.[Hui-Wei], Zhu, Y.[Yan], Xu, B.[Bing],
Underground Goaf Parameters Estimation by Cross-Iteration with InSAR Measurements,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
mining subsidence hazards. BibRef

Zhao, Y.X.[Yi-Xin], Sun, B.[Bo], Liu, S.[Shimin], Zhang, C.[Cun], He, X.[Xiang], Xu, D.[Duo], Tang, W.[Wei],
Identification of mining induced ground fissures using UAV and infrared thermal imager: Temperature variation and fissure evolution,
PandRS(180), 2021, pp. 45-64.
Elsevier DOI 2109
Identifying ground fissures, Underground coal mining, Temperature variation patterns, Infrared thermal imager, Unmanned aerial vehicle (UAV) BibRef

Xu, D.[Duo], Zhao, Y.X.[Yi-Xin], Jiang, Y.[Yaodong], Zhang, C.[Cun], Sun, B.[Bo], He, X.[Xiang],
Using Improved Edge Detection Method to Detect Mining-Induced Ground Fissures Identified by Unmanned Aerial Vehicle Remote Sensing,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Shi, J.C.[Jian-Cun], Yang, Z.[Zefa], Wu, L.X.[Li-Xin], Qiao, S.[Siyu],
Improving the Robustness of the MTI-Estimated Mining-Induced 3D Time-Series Displacements with a Logistic Model,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Qin, Y.Z.[Yao-Zu], Cao, L.[Li], Boloorani, A.D.[Ali Darvishi], Wu, W.C.[Wei-Cheng],
High-Resolution Mining-Induced Geo-Hazard Mapping Using Random Forest: A Case Study of Liaojiaping Orefield, Central China,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Chen, Y.[Yang], Yu, S.[Shengwen], Tao, Q.X.[Qiu-Xiang], Liu, G.[Guolin], Wang, L.[Luyao], Wang, F.Y.[Feng-Yun],
Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Yang, Z.[Zefa], Xu, B.[Bing], Li, Z.W.[Zhi-Wei], Wu, L.X.[Li-Xin], Zhu, J.J.[Jian-Jun],
Prediction of Mining-Induced Kinematic 3-D Displacements From InSAR Using a Weibull Model and a Kalman Filter,
GeoRS(60), 2022, pp. 1-12.
IEEE DOI 2112
Kinematics, Predictive models, Solid modeling, Strain, Kalman filters, Displacement measurement, Market research, Weibull model BibRef

Li, Q.S.[Quan-Sheng], Guo, J.T.[Jun-Ting], Wang, F.[Fei], Song, Z.H.[Zi-Heng],
Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Ma, B.D.[Bao-Dong], Yang, X.R.[Xiang-Ru], Yu, Y.J.[Ya-Jiao], Shu, Y.[Yang], Che, D.[Defu],
Investigation of Vegetation Changes in Different Mining Areas in Liaoning Province, China, Using Multisource Remote Sensing Data,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Qian, M.J.[Ming-Jie], Sun, S.[Song], Li, X.J.[Xian-Ju],
Multimodal Data and Multiscale Kernel-Based Multistream CNN for Fine Classification of a Complex Surface-Mined Area,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhang, T.[Tian], Zhang, W.C.[Wan-Chang], Yang, R.Z.[Rui-Zhao], Cao, D.[Dan], Chen, L.F.[Long-Fei], Li, D.[Dewei], Meng, L.B.[Ling-Bin],
CO2 Injection Deformation Monitoring Based on UAV and InSAR Technology: A Case Study of Shizhuang Town, Shanxi Province, China,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Zheng, J.L.[Jun-Liang], Yao, W.Q.[Wan-Qiang], Lin, X.[Xiaohu], Ma, B.[Bolin], Bai, L.X.[Ling-Xiao],
An Accurate Digital Subsidence Model for Deformation Detection of Coal Mining Areas Using a UAV-Based LiDAR,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Liu, J.[Jia], Ma, F.[Fengshan], Li, G.[Guang], Guo, J.[Jie], Wan, Y.[Yang], Song, Y.W.[Ye-Wei],
Evolution Assessment of Mining Subsidence Characteristics Using SBAS and PS Interferometry in Sanshandao Gold Mine, China,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Nie, X.R.[Xin-Ran], Hu, Z.Q.[Zhen-Qi], Ruan, M.Y.[Meng-Ying], Zhu, Q.[Qi], Sun, H.[Huang],
Remote-Sensing Evaluation and Temporal and Spatial Change Detection of Ecological Environment Quality in Coal-Mining Areas,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Chen, B.Q.[Bing-Qian], Yu, H.[Hao], Zhang, X.[Xiang], Li, Z.H.[Zhen-Hong], Kang, J.R.[Jian-Rong], Yu, Y.[Yang], Yang, J.[Jiale], Qin, L.[Lu],
Time-Varying Surface Deformation Retrieval and Prediction in Closed Mines through Integration of SBAS InSAR Measurements and LSTM Algorithm,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

van Rensburg, G.J.[Gabrielle Janse], Kemp, J.[Jaco],
The Use of C-Band and X-Band SAR with Machine Learning for Detecting Small-Scale Mining,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Yan, Y.G.[Yue-Guan], Li, M.[Ming], Dai, L.[Linda], Guo, J.T.[Jun-Ting], Dai, H.Y.[Hua-Yang], Tang, W.[Wei],
Construction of 'Space-Sky-Ground' Integrated Collaborative Monitoring Framework for Surface Deformation in Mining Area,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Xing, X.M.[Xue-Min], Zhang, T.F.[Teng-Fei], Chen, L.[Lifu], Yang, Z.[Zefa], Liu, X.[Xiangbin], Peng, W.[Wei], Yuan, Z.H.[Zhi-Hui],
InSAR Modeling and Deformation Prediction for Salt Solution Mining Using a Novel CT-PIM Function,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Yang, K.[Kun], Hu, Z.Q.[Zhen-Qi], Liang, Y.S.[Yu-Sheng], Fu, Y.[Yaokun], Yuan, D.Z.[Dong-Zhu], Guo, J.X.[Jia-Xin], Li, G.S.[Gen-Sheng], Li, Y.[Yong],
Automated Extraction of Ground Fissures Due to Coal Mining Subsidence Based on UAV Photogrammetry,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Ma, D.[Ding], Zhao, S.M.[Shang-Min],
Quantitative Analysis of Land Subsidence and Its Effect on Vegetation in Xishan Coalfield of Shanxi Province,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Palamŕ, R.[Riccardo], Crosetto, M.[Michele], Rapinski, J.[Jacek], Barra, A.[Anna], Cuevas-González, M.[María], Monserrat, O.[Oriol], Crippa, B.[Bruno], Kotulak, N.[Natalia], Mróz, M.[Marek], Mleczko, M.[Magdalena],
A Multi-Temporal Small Baseline Interferometry Procedure Applied to Mining-Induced Deformation Monitoring,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Ma, Z.L.[Ze-Lin], Yang, Z.[Zefa], Xing, X.M.[Xue-Min],
Analyzing the Error Pattern of InSAR-Based Mining Subsidence Estimation Caused by Neglecting Horizontal Movements,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Du, Q.[Qiu], Guo, G.L.[Guang-Li], Li, H.Z.[Huai-Zhan], Gong, Y.Q.[Ya-Qiang],
Spatio-Temporal Evolution Law of Surface Subsidence Basin with Insufficient Exploitation of Deep Coal Resources in Aeolian Sand Area of Western China,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Escayo, J.[Joaquin], Marzan, I.[Ignacio], Martí, D.[David], Tornos, F.[Fernando], Farci, A.[Angelo], Schimmel, M.[Martin], Carbonell, R.[Ramon], Fernández, J.[José],
Radar Interferometry as a Monitoring Tool for an Active Mining Area Using Sentinel-1 C-Band Data, Case Study of Riotinto Mine,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Xu, Y.Z.[Yao-Zong], Li, T.[Tao], Tang, X.M.[Xin-Ming], Zhang, X.[Xiang], Fan, H.D.[Hong-Dong], Wang, Y.W.[Yue-Wen],
Research on the Applicability of DInSAR, Stacking-InSAR and SBAS-InSAR for Mining Region Subsidence Detection in the Datong Coalfield,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, S.Q.[Shu-Qing], Bai, Z.C.[Ze-Chao], Lv, Y.[Yuepeng], Zhou, W.[Wei],
Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Guan, R.X.[Ren-Xiang], Li, Z.H.[Zi-Hao], Li, T.[Teng], Li, X.J.[Xian-Ju], Yang, J.Z.[Jin-Zhong], Chen, W.T.[Wei-Tao],
Classification of Heterogeneous Mining Areas Based on ResCapsNet and Gaofen-5 Imagery,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Khan, J.[Junaid], Ren, X.W.[Xing-Wei], Hussain, M.A.[Muhammad Afaq], Jan, M.Q.[M. Qasim],
Monitoring Land Subsidence Using PS-InSAR Technique in Rawalpindi and Islamabad, Pakistan,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Li, G.[Guang], Wan, Y.[Yang], Guo, J.[Jie], Ma, F.S.[Feng-Shan], Zhao, H.J.[Hai-Jun], Li, Z.Q.[Zhi-Qing],
A Case Study on Ground Subsidence and Backfill Deformation Induced by Multi-Stage Filling Mining in a Steeply Inclined Ore Body,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Shen, W.J.[Wen-Jie], Wang, S.[Shuo], Lin, Y.[Yun], Li, Y.[Yang], Ding, F.[Fan], Wang, Y.P.[Yan-Ping],
Ground-Based SAR Moving Target Refocusing Based on Relative Speed for Monitoring Mine Slopes,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Qiu, S.[Shi], Yu, Q.[Qiang], Niu, T.[Teng], Fang, M.Z.[Min-Zhe], Guo, H.Q.[Hong-Qiong], Liu, H.J.[Hong-Jun], Li, S.[Song],
Study on the Landscape Space of Typical Mining Areas in Xuzhou City from 2000 to 2020 and Optimization Strategies for Carbon Sink Enhancement,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Yang, W.[Wenfu], Mu, Y.[Yao], Zhang, W.K.[Wen-Kai], Wang, W.W.[Wen-Wen], Liu, J.[Jin], Peng, J.H.[Jun-Huan], Liu, X.S.[Xiao-Song], He, T.T.[Ting-Ting],
Assessment of Ecological Cumulative Effect due to Mining Disturbance Using Google Earth Engine,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Cieslik, K.[Konrad], Milczarek, W.[Wojciech],
Application of Machine Learning in Forecasting the Impact of Mining Deformation: A Case Study of Underground Copper Mines in Poland,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhang, Y.[Yafei], Lian, X.[Xugang], Ge, L.L.[Lin-Lin], Liu, X.Y.[Xiao-Yu], Du, Z.[Zheyuan], Yang, W.[Wenfu], Wu, Y.[Yanru], Hu, H.F.[Hai-Feng], Cai, Y.F.[Yin-Fei],
Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Li, G.[Guang], Hui, X.[Xin], Ma, F.[Fengshan], Guo, J.[Jie],
Temporal Analysis of Ground Movement at a Metal Mine in China,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Li, J.[Jun], Li, B.[Bin], He, K.[Kai], Gao, Y.[Yang], Wan, J.W.[Jia-Wei], Wu, W.[Weile], Zhang, H.[Han],
Failure Mechanism Analysis of Mining-Induced Landslide Based on Geophysical Investigation and Numerical Modelling Using Distinct Element Method,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zhang, Y.J.[Yan-Jun], Lian, X.[Xugang], Yan, Y.[Yueguan], Zhu, Y.H.[Yuan-Hao], Dai, H.[Huayang],
Study on the Development Law of Mining-Induced Ground Cracks under Gully Terrain,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zhang, S.[Shifang], Zhang, J.[Jin],
Ground Subsidence Monitoring in a Mining Area Based on Mountainous Time Function and EnKF Methods Using GPS Data,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Bo, H.Z.[Huai-Zhi], Li, Y.W.[Yun-Wei], Tan, X.F.[Xian-Feng], Dong, Z.B.[Zhou-Bin], Zheng, G.D.[Guo-Dong], Wang, Q.[Qi], Yu, K.[Kegen],
Estimation of Ground Subsidence Deformation Induced by Underground Coal Mining with GNSS-IR,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Liu, X.Y.[Xiao-Yu], Zhu, W.[Wu], Lian, X.[Xugang], Xu, X.Y.[Xuan-Yu],
Monitoring Mining Surface Subsidence with Multi-Temporal Three-Dimensional Unmanned Aerial Vehicle Point Cloud,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Ji, C.Q.[Chang-Qi], Sun, H.L.[Hai-Li], Zhong, R.F.[Ruo-Fei], Sun, M.Z.[Ming-Ze], Li, J.C.[Jin-Cheng], Lu, Y.[Yue],
Deformation Detection of Mining Tunnel Based on Automatic Target Recognition,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Declercq, P.Y.[Pierre-Yves], Dusar, M.[Michiel], Pirard, E.[Eric], Verbeurgt, J.[Jeffrey], Choopani, A.[Atefe], Devleeschouwer, X.[Xavier],
Post Mining Ground Deformations Transition Related to Coal Mines Closure in the Campine Coal Basin, Belgium, Evidenced by Three Decades of MT-InSAR Data,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Zhang, Y.X.[Yu-Xuan], Wang, Y.J.[Yun-Jia], Huo, W.Q.[Wen-Qi], Zhao, F.[Feng], Hu, Z.B.[Zhong-Bo], Wang, T.[Teng], Song, R.[Rui], Liu, J.L.[Jing-Long], Zhang, L.X.[Lei-Xin], Fernández, J.[José], Escayo, J.[Joaquin], Cao, F.[Fei], Yan, J.[Jun],
Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Hu, L.[Liuru], Tomás, R.[Roberto], Tang, X.M.[Xin-Ming], Vinielles, J.L.[Juan López], Herrera, G.[Gerardo], Li, T.[Tao], Liu, Z.W.[Zhi-Wei],
Updating Active Deformation Inventory Maps in Mining Areas by Integrating InSAR and LiDAR Datasets,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Wang, Z.H.[Zhi-Hong], Dai, H.[Huayang], Yan, Y.[Yueguan], Liu, J.[Jibo], Ren, J.[Jintong],
Combination of InSAR with a Depression Angle Model for 3D Deformation Monitoring in Mining Areas,
RS(15), No. 7, 2023, pp. 1834.
DOI Link 2304
BibRef

Chen, Y.J.[Yue-Juan], Dong, X.[Xu], Qi, Y.L.[Yao-Long], Huang, P.P.[Ping-Ping], Sun, W.Q.[Wen-Qing], Xu, W.[Wei], Tan, W.X.[Wei-Xian], Li, X.J.[Xiu-Juan], Liu, X.L.[Xiao-Long],
Integration of DInSAR-PS-Stacking and SBAS-PS-InSAR Methods to Monitor Mining-Related Surface Subsidence,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Jiang, K.G.[Ke-Gui], Yang, K.M.[Ke-Ming], Zhang, Y.H.[Yan-Hai], Li, Y.X.[Ya-Xing], Li, T.T.[Ting-Ting], Zhao, X.T.[Xiang-Tong],
An Extraction Method for Large Gradient Three-Dimensional Displacements of Mining Areas Using Single-Track InSAR, Boltzmann Function, and Subsidence Characteristics,
RS(15), No. 11, 2023, pp. 2946.
DOI Link 2306
BibRef

Ma, F.[Fei], Sui, L.C.[Li-Chun], Lian, W.[Wei],
Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China),
RS(15), No. 11, 2023, pp. 2755.
DOI Link 2306
BibRef

Chen, H.Y.[Heng-Yi], Zhao, C.Y.[Chao-Ying], Tomás, R.[Roberto], Chen, L.Q.[Li-Quan], Yang, C.S.[Cheng-Sheng], Zhang, Y.N.[Yu-Ning],
Retrieving the Kinematic Process of Repeated-Mining-Induced Landslides by Fusing SAR/InSAR Displacement, Logistic Model, and Probability Integral Method,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Liu, Y.[Yahong], Zhang, J.[Jin],
Integrating SBAS-InSAR and AT-LSTM for Time-Series Analysis and Prediction Method of Ground Subsidence in Mining Areas,
RS(15), No. 13, 2023, pp. 3409.
DOI Link 2307
BibRef

Tian, Z.[Zeming], Fan, H.D.[Hong-Dong], Cao, F.[Fei], He, L.[Long],
Monitoring Surface Subsidence Using Distributed Scatterer InSAR with an Improved Statistically Homogeneous Pixel Selection Method in Coalfield Fire Zones,
RS(15), No. 14, 2023, pp. 3574.
DOI Link 2307
BibRef

Xia, Y.P.[Yuan-Ping], Xia, F.[Fei], Hui, Z.Y.[Zhen-Yang], Li, H.Z.[Huai-Zhan], Wan, R.R.[Ran-Ran], Ai, J.Q.[Jin-Quan],
Combined PS-InSAR Technology and High-Resolution Optical Remote Sensing for Identifying Illegal Underground Mining in the Suburb of Yangquan City, Shanxi Province, China,
RS(15), No. 14, 2023, pp. 3565.
DOI Link 2307
BibRef

Hu, W.[Wenmin], Xu, J.X.[Jia-Xing], Zhang, W.[Wei], Zhao, J.[Jiatao], Zhou, H.[Haokun],
Retrieving Surface Deformation of Mining Areas Using ZY-3 Stereo Imagery and DSMs,
RS(15), No. 17, 2023, pp. 4315.
DOI Link 2310
BibRef

Zhao, J.Q.[Jin-Qi], Yang, X.[Xuhai], Zhang, Z.J.[Zhao-Jiang], Niu, Y.[Yufen], Zhao, Z.[Zheng],
Mine Subsidence Monitoring Integrating DS-InSAR with UAV Photogrammetry Products: Case Studies on Hebei and Inner Mongolia,
RS(15), No. 20, 2023, pp. 4998.
DOI Link 2310
BibRef

Cui, R.H.[Rui-Hao], Hu, Z.Q.[Zhen-Qi], Wang, P.J.[Pei-Jun], Han, J.Z.[Jia-Zheng], Zhang, X.[Xi], Jiang, X.Y.[Xu-Yang], Cao, Y.J.[Ying-Jia],
Crop Classification and Growth Monitoring in Coal Mining Subsidence Water Areas Based on Sentinel Satellite,
RS(15), No. 21, 2023, pp. 5095.
DOI Link 2311
BibRef

Zhao, R.N.[Ruo-Nan], Viktorovich, Z.A.[Zhabko Andrey], Li, J.F.[Jun-Feng], Chen, C.[Chuang], Zheng, M.[Meinan],
A New Strategy for Extracting 3D Deformation of Mining Areas from a Single-Geometry Synthetic Aperture Radar Dataset,
RS(15), No. 21, 2023, pp. 5244.
DOI Link 2311
BibRef

Yuan, Y.F.[Ya-Fei], Zheng, M.[Meinan], Li, H.Z.[Huai-Zhan], Chen, Y.[Yu], Guo, G.[Guangli], Su, Z.[Zhe], Huo, W.Q.[Wen-Qi],
Delineation of Backfill Mining Influence Range Based on Coal Mining Subsidence Principle and Interferometric Synthetic Aperture Radar,
RS(15), No. 23, 2023, pp. 5618.
DOI Link 2312
BibRef

Long, S.[Sichun], Liu, M.[Maoqi], Xiong, C.H.[Chao-Hui], Li, T.[Tao], Wu, W.H.[Wen-Hao], Ding, H.J.[Hong-Jun], Zhang, L.[Liya], Zhu, C.G.[Chuan-Guang], Lu, S.[Shide],
Research on Prediction of Surface Deformation in Mining Areas Based on TPE-Optimized Integrated Models and Multi-Temporal InSAR,
RS(15), No. 23, 2023, pp. 5546.
DOI Link 2312
BibRef

Ji, Y.[Yanan], Zhang, X.[Xiang], Li, T.[Tao], Fan, H.D.[Hong-Dong], Xu, Y.Z.[Yao-Zong], Li, P.Z.[Pei-Zhen], Tian, Z.[Zeming],
Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data,
RS(15), No. 24, 2023, pp. 5668.
DOI Link 2401
BibRef

Liu, A.[Anmengyun], Zhang, R.[Rui], Yang, Y.J.[Yun-Jie], Wang, T.Y.[Tian-Yu], Wang, T.[Ting], Shama, A.[Age], Zhan, R.[Runqing], Bao, X.[Xin],
Oilfield Reservoir Parameter Inversion Based on 2D Ground Deformation Measurements Acquired by a Time-Series MSBAS-InSAR Method,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Bo, H.Z.[Huai-Zhi], Lu, G.[Guohong], Li, H.Z.[Huai-Zhan], Guo, G.[Guangli], Li, Y.W.[Yun-Wei],
Development of a Dynamic Prediction Model for Underground Coal-Mining-Induced Ground Subsidence Based on the Hook Function,
RS(16), No. 2, 2024, pp. 377.
DOI Link 2402
BibRef

Tao, T.[Tao], Han, K.M.[Ke-Ming], Yao, X.[Xin], Chen, X.M.[Xi-Ming], Wu, Z.Q.[Zuo-Qi], Yao, C.C.[Chuang-Chuang], Tian, X.[Xuwen], Zhou, Z.K.[Zhen-Kai], Ren, K.Y.[Kai-Yu],
Identification of Ground Fissure Development in a Semi-Desert Aeolian Sand Area Induced from Coal Mining: Utilizing UAV Images and Deep Learning Techniques,
RS(16), No. 6, 2024, pp. 1046.
DOI Link 2403
BibRef

Jab?o?ska, K.[Katarzyna], Maksymowicz, M.[Marcin], Tanajewski, D.[Dariusz], Kaczan, W.[Wojciech], Zi?ba, M.[Maciej], Wilgucki, M.[Marek],
MineCam: Application of Combined Remote Sensing and Machine Learning for Segmentation and Change Detection of Mining Areas Enabling Multi-Purpose Monitoring,
RS(16), No. 6, 2024, pp. 955.
DOI Link 2403
BibRef

Yao, J.Y.[Jia-Yi], Han, K.M.[Ke-Ming], Zhu, W.[Wu], Cao, Y.B.[Yan-Bo],
Research on Collapse Detection in Old Coal Mine Goafs Based on Space-Sky-Earth Remote Sensing Survey,
RS(16), No. 7, 2024, pp. 1164.
DOI Link 2404
BibRef

Wang, Y.J.[Yuan-Jian], Cui, X.[Ximin], Che, Y.H.[Yu-Hang], Zhao, Y.L.[Yu-Ling], Li, P.X.[Pei-Xian], Kang, X.L.[Xin-Liang], Jiang, Y.[Yue],
Near Real-Time Monitoring of Large Gradient Nonlinear Subsidence in Mining Areas: A Hybrid SBAS-InSAR Method Integrating Robust Sequential Adjustment and Deep Learning,
RS(16), No. 10, 2024, pp. 1664.
DOI Link 2405
BibRef


Józków, G., Walicka, A., Borkowski, A.,
Monitoring Terrain Deformations Caused By Underground Mining Using UAV Data,
ISPRS21(B2-2021: 737-744).
DOI Link 2201
BibRef

Centeno, J.A.S., Kishi, R.T., Mitishita, E.,
Remote Sensing Time Series Analysis Aimed At Detecting and Monitoring Brazilian Iron Ore Mining Disasters,
ISPRS20(B3:1515-1519).
DOI Link 2012
BibRef

Pawluszek-Filipiak, K., Borkowski, A.,
Comparison of Psi and Dinsar Approach for the Subsidence Monitoring Caused By Coal Mining Exploitation,
ISPRS20(B3:333-337).
DOI Link 2012
BibRef

Yang, C.H., Müterthies, A., Soergel, U.,
Workable Monitoring System Based On Spaceborne Sar Images for Mining Areas - Stings Development Project,
SARCon19(1951-1957).
DOI Link 1912
BibRef

Karagianni, A., Lazos, I., Chatzipetros, A.,
Remote Sensing Techniques In Disaster Management: Amynteon Mine Landslides, Greece,
Gi4DM18(269-276).
DOI Link 1805
BibRef

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
BibRef

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,
IWIDF15(23-26).
DOI Link 1508
BibRef

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,
IWIDF15(41-44).
DOI Link 1508
BibRef

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,
IWIDF13(163-166).
DOI Link 1311
BibRef

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,
CISP09(1-4).
IEEE DOI 0910
BibRef

Walter, D., Wegmüller, U., Spreckels, V., Hannemann, W., Busch, W.,
Interferometric monitoring of an active underground mining field with high-resolution SAR sensors,
HighRes09(xx-yy).
PDF File. 0906
BibRef

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
BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Open Pit Mines, Analysis, Detection .


Last update:Jun 5, 2024 at 10:22:22