4.12.8.1 Surface Deformation From SAR, InSAR, IFSAR, Interferometry

Yu, H., Lee, H., Yuan, T., Cao, N.,
A Novel Method for Deformation Estimation Based on Multibaseline InSAR Phase Unwrapping,
GeoRS(56), No. 9, September 2018, pp. 5231-5243.
IEEE DOI 1809
Strain, Synthetic aperture radar, Interferometry, Estimation, Surface topography, Laser radar, Surface treatment, synthetic aperture radar interferometry (InSAR) BibRef

Yu, H., Lee, H., Cao, N., Lan, Y.,
Optimal Baseline Design for Multibaseline InSAR Phase Unwrapping,
GeoRS(57), No. 8, August 2019, pp. 5738-5750.
IEEE DOI 1908
integer programming, radar interferometry, synthetic aperture radar, phase noise, CRT-based MB PU method, synthetic aperture radar interferometry (InSAR) BibRef

Hong, S.Y.[Shun-Ying], Zhou, X.[Xin], Zhang, K.[Kui], Meng, G.J.[Guo-Jie], Dong, Y.F.[Yan-Fang], Su, X.N.[Xiao-Ning], Zhang, L.[Lei], Li, S.[Shuai], Ding, K.[Keliang],
Source Model and Stress Disturbance of the 2017 Jiuzhaigou Mw 6.5 Earthquake Constrained by InSAR and GPS Measurements,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Tang, W.[Wei], Yuan, P.[Peng], Liao, M.S.[Ming-Sheng], Balz, T.[Timo],
Investigation of Ground Deformation in Taiyuan Basin, China from 2003 to 2010, with Atmosphere-Corrected Time Series InSAR,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Liu, F., Fan, X., Zhang, T., Liu, Q.,
GNSS-Based SAR Interferometry for 3-D Deformation Retrieval: Algorithms and Feasibility Study,
GeoRS(56), No. 10, October 2018, pp. 5736-5748.
IEEE DOI 1810
Strain, Transmitters, Synthetic aperture radar, Extraterrestrial measurements, repeat pass BibRef

Theron, A.[Andre], Engelbrecht, J.[Jeanine],
The Role of Earth Observation, with a Focus on SAR Interferometry, for Sinkhole Hazard Assessment,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Vajedian, S.[Sanaz], Motagh, M.[Mahdi], Mousavi, Z.[Zahra], Motaghi, K.[Khalil], Fielding, E.J.[Eric. J.], Akbari, B.[Bahman], Wetzel, H.U.[Hans-Ulrich], Darabi, A.[Aliakbar],
Coseismic Deformation Field of the Mw 7.3 12 November 2017 Sarpol-e Zahab (Iran) Earthquake: A Decoupling Horizon in the Northern Zagros Mountains Inferred from InSAR Observations,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Monti-Guarnieri, A.V., Brovelli, M.A., Manzoni, M., Mariotti d'Alessandro, M., Molinari, M.E., Oxoli, D.,
Coherent Change Detection for Multipass SAR,
GeoRS(56), No. 11, November 2018, pp. 6811-6822.
IEEE DOI 1811
Synthetic aperture radar, Charge coupled devices, Coherence, Earthquakes, Estimation, Detectors, Atmospheric modeling, synthetic aperture radar (SAR) BibRef

Monti-Guarnieri, A.[Andrea], Falcone, P.[Paolo], d'Aria, D.[Davide], Giunta, G.[Giuseppe],
3D Vibration Estimation from Ground-Based Radar,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Wang, X.Y.[Xia-Ying], Zhang, Q.[Qin], Zhao, C.Y.[Chao-Ying], Qu, F.F.[Fei-Fei], Zhang, J.Q.[Ju-Qing],
A Novel Method of Generating Deformation Time-Series Using Interferometric Synthetic Aperture Radar and Its Application in Mexico City,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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Barba-Sevilla, M.[Magali], Baird, B.W.[Bridger W.], Liel, A.B.[Abbie B.], Tiampo, K.F.[Kristy F.],
Hazard Implications of the 2016 Mw 5.0 Cushing, OK Earthquake from a Joint Analysis of Damage and InSAR Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Zhang, Z.J.[Zheng-Jia], Wang, C.[Chao], Wang, M.M.[Meng-Meng], Wang, Z.[Ziwei], Zhang, H.[Hong],
Surface Deformation Monitoring in Zhengzhou City from 2014 to 2016 Using Time-Series InSAR,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Wu, W.W.[Wei-Wei], Su, X.N.[Xiao-Ning], Meng, G.[Guojie], Li, C.[Chentao],
Crustal Deformation Prior to the 2017 Jiuzhaigou, Northeastern Tibetan Plateau (China), Ms 7.0 Earthquake Derived from GPS Observations,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Liu, N., Dai, W., Santerre, R., Hu, J., Shi, Q., Yang, C.,
High Spatio-Temporal Resolution Deformation Time Series With the Fusion of InSAR and GNSS Data Using Spatio-Temporal Random Effect Model,
GeoRS(57), No. 1, January 2019, pp. 364-380.
IEEE DOI 1901
Global navigation satellite system, Strain, Spatial resolution, Computational modeling, Mathematical model, Data models, interferometric synthetic aperture radar (InSAR) BibRef

Farolfi, G., Bianchini, S., Casagli, N.,
Integration of GNSS and Satellite InSAR Data: Derivation of Fine-Scale Vertical Surface Motion Maps of Po Plain, Northern Apennines, and Southern Alps, Italy,
GeoRS(57), No. 1, January 2019, pp. 319-328.
IEEE DOI 1901
Global navigation satellite system, Satellites, Synthetic aperture radar, Strain, Spaceborne radar, synthetic aperture radar (SAR) BibRef

Valerio, E.[Emanuela], Tizzani, P.[Pietro], Carminati, E.[Eugenio], Doglioni, C.[Carlo], Pepe, S.[Susi], Petricca, P.[Patrizio], De Luca, C.[Claudio], Bignami, C.[Christian], Solaro, G.[Giuseppe], Castaldo, R.[Raffaele], De Novellis, V.[Vincenzo], Lanari, R.[Riccardo],
Ground Deformation and Source Geometry of the 30 October 2016 Mw 6.5 Norcia Earthquake (Central Italy) Investigated Through Seismological Data, DInSAR Measurements, and Numerical Modelling,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Long, S.[Sichun], Tong, A.[Aixia], Yuan, Y.[Ying], Li, Z.H.[Zhen-Hong], Wu, W.H.[Wen-Hao], Zhu, C.G.[Chuan-Guang],
New Approaches to Processing Ground-Based SAR (GBSAR) Data for Deformation Monitoring,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Wang, Z.[Zheng], Li, Z.H.[Zhen-Hong], Liu, Y.X.[Yan-Xiong], Peng, J.[Junhuan], Long, S.[Sichun], Mills, J.[Jon],
A New Processing Chain for Real-Time Ground-Based SAR (RT-GBSAR) Deformation Monitoring,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Zhao, D.Z.[De-Zheng], Qu, C.Y.[Chun-Yan], Shan, X.J.[Xin-Jian], Bürgmann, R.[Roland], Gong, W.Y.[Wen-Yu], Zhang, G.H.[Guo-Hong],
Spatiotemporal Evolution of Postseismic Deformation Following the 2001 Mw7.8 Kokoxili, China, Earthquake from 7 Years of INSAR Observations,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Zhang, B.[Bowen], Wang, R.[Robert], Deng, Y.[Yunkai], Ma, P.F.[Pei-Feng], Lin, H.[Hui], Wang, J.[Jili],
Mapping the Yellow River Delta land subsidence with multitemporal SAR interferometry by exploiting both persistent and distributed scatterers,
PandRS(148), 2019, pp. 157-173.
Elsevier DOI 1901
Persistent scatterers, Distributed scatterers, Yellow River Delta, Sentinel-1, ENVISAT ASAR BibRef

Aslan, G.[Gokhan], Cakir, Z.[Ziyadin], Lasserre, C.[Cécile], Renard, F.[François],
Investigating Subsidence in the Bursa Plain, Turkey, Using Ascending and Descending Sentinel-1 Satellite Data,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Nof, R.N.[Ran N.], Abelson, M.[Meir], Raz, E.[Eli], Magen, Y.[Yochay], Atzori, S.[Simone], Salvi, S.[Stefano], Baer, G.[Gidon],
SAR Interferometry for Sinkhole Early Warning and Susceptibility Assessment along the Dead Sea, Israel,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Floris, M.[Mario], Fontana, A.[Alessandro], Tessari, G.[Giulia], Mulè, M.[Mariachiara],
Subsidence Zonation Through Satellite Interferometry in Coastal Plain Environments of NE Italy: A Possible Tool for Geological and Geomorphological Mapping in Urban Areas,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Delgado Blasco, J.M.[José Manuel], Foumelis, M.[Michael], Stewart, C.[Chris], Hooper, A.[Andrew],
Measuring Urban Subsidence in the Rome Metropolitan Area (Italy) with Sentinel-1 SNAP-StaMPS Persistent Scatterer Interferometry,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Zhang, T.X.[Teng-Xu], Shen, W.B.[Wen-Bin], Wu, W.H.[Wen-Hao], Zhang, B.[Bao], Pan, Y.J.[Yuan-Jin],
Recent Surface Deformation in the Tianjin Area Revealed by Sentinel-1A Data,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Fiaschi, S.[Simone], Holohan, E.P.[Eoghan P.], Sheehy, M.[Michael], Floris, M.[Mario],
PS-InSAR Analysis of Sentinel-1 Data for Detecting Ground Motion in Temperate Oceanic Climate Zones: A Case Study in the Republic of Ireland,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Liu, Y.Z.[Yu-Zhou], Ma, P.[Peifeng], Lin, H.[Hui], Wang, W.[Weixi], Shi, G.[Guoqiang],
Distributed Scatterer InSAR Reveals Surface Motion of the Ancient Chaoshan Residence Cluster in the Lianjiang Plain, China,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Fuhrmann, T.[Thomas], Garthwaite, M.C.[Matthew C.],
Resolving Three-Dimensional Surface Motion with InSAR: Constraints from Multi-Geometry Data Fusion,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Li, T.[Tao], Motagh, M.[Mahdi], Wang, M.Z.[Ming-Zhou], Zhang, W.[Wei], Gong, C.L.[Chun-Long], Xiong, X.[Xunan], He, J.P.[Jin-Ping], Chen, L.[Lulu], Liu, J.N.[Jing-Nan],
Earth and Rock-Filled Dam Monitoring by High-Resolution X-Band Interferometry: Gongming Dam Case Study,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Vajedian, S.[Sanaz], Motagh, M.[Mahdi],
Extracting sinkhole features from time-series of TerraSAR-X/TanDEM-X data,
PandRS(150), 2019, pp. 274-284.
Elsevier DOI 1903
Bistatic interferometry, TanDEM-X, Sinkhole, Wavelet decomposition, CCA analysis BibRef

Khorrami, M.[Mohammad], Alizadeh, B.[Babak], Tousi, E.G.[Erfan Ghasemi], Shakerian, M.[Mahyar], Maghsoudi, Y.[Yasser], Rahgozar, P.[Peyman],
How Groundwater Level Fluctuations and Geotechnical Properties Lead to Asymmetric Subsidence: A PSInSAR Analysis of Land Deformation over a Transit Corridor in the Los Angeles Metropolitan Area,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Xing, X.M.[Xue-Min], Chang, H.C.[Hsing-Chung], Chen, L.[Lifu], Zhang, J.[Junhui], Yuan, Z.H.[Zhi-Hui], Shi, Z.[Zhenning],
Radar Interferometry Time Series to Investigate Deformation of Soft Clay Subgrade Settlement: A Case Study of Lungui Highway, China,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Zhang, Y.[Yong], Liu, C.J.[Chuan-Jin], Zhang, W.T.[Wen-Ting], Jiang, F.Y.[Feng-Yun],
Present-Day Deformation of the Gyaring Co Fault Zone, Central Qinghai-Tibet Plateau, Determined Using Synthetic Aperture Radar Interferometry,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Imamoglu, M.[Mumin], Kahraman, F.[Fatih], Cakir, Z.[Ziyadin], Sanli, F.B.[Fusun Balik],
Ground Deformation Analysis of Bolvadin (W. Turkey) by Means of Multi-Temporal InSAR Techniques and Sentinel-1 Data,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Gao, M.L.[Ming-Liang], Gong, H.[Huili], Li, X.J.[Xiao-Juan], Chen, B.B.[Bei-Bei], Zhou, C.F.[Chao-Fan], Shi, M.[Min], Guo, L.[Lin], Chen, Z.[Zheng], Ni, Z.Y.[Zhong-Yun], Duan, G.Y.[Guang-Yao],
Land Subsidence and Ground Fissures in Beijing Capital International Airport (BCIA): Evidence from Quasi-PS InSAR Analysis,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Zhao, Q.[Qing], Ma, G.[Guanyu], Wang, Q.A.[Qi-Ang], Yang, T.[Tianliang], Liu, M.[Min], Gao, W.[Wei], Falabella, F.[Francesco], Mastro, P.[Pietro], Pepe, A.[Antonio],
Generation of long-term InSAR ground displacement time-series through a novel multi-sensor data merging technique: The case study of the Shanghai coastal area,
PandRS(154), 2019, pp. 10-27.
Elsevier DOI 1907
InSAR, Ground deformation, Multi-pass interferometry, Data merging, Bias adjustment BibRef

Chen, Y.[Yu], Tan, K.[Kun], Yan, S.Y.[Shi-Yong], Zhang, K.[Kefei], Zhang, H.R.[Hai-Rong], Liu, X.Y.[Xiao-Yang], Li, H.Z.[Huai-Zhan], Sun, Y.Q.[Ya-Qin],
Monitoring Land Surface Displacement over Xuzhou (China) in 2015-2018 through PCA-Based Correction Applied to SAR Interferometry,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Qu, F.F.[Fei-Fei], Lu, Z.[Zhong], Kim, J.W.[Jin-Woo], Zheng, W.Y.[Wei-Yu],
Identify and Monitor Growth Faulting Using InSAR over Northern Greater Houston, Texas, USA,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Prébet, R., Yan, Y., Jauvin, M., Trouvé, E.,
A Data-Adaptive EOF-Based Method for Displacement Signal Retrieval From InSAR Displacement Measurement Time Series for Decorrelating Targets,
GeoRS(57), No. 8, August 2019, pp. 5829-5852.
IEEE DOI 1908
glaciology, hydrological techniques, radar interferometry, synthetic aperture radar, decorrelating targets, time series BibRef

Tomás, R.[Roberto], Pagán, J.I.[José Ignacio], Navarro, J.A.[José A.], Cano, M.[Miguel], Pastor, J.L.[José Luis], Riquelme, A.[Adrián], Cuevas-González, M.[María], Crosetto, M.[Michele], Barra, A.[Anna], Monserrat, O.[Oriol], Lopez-Sanchez, J.M.[Juan M.], Ramón, A.[Alfredo], Ivorra, S.[Salvador], Del Soldato, M.[Matteo], Solari, L.[Lorenzo], Bianchini, S.[Silvia], Raspini, F.[Federico], Novali, F.[Fabrizio], Ferretti, A.[Alessandro], Costantini, M.[Mario], Trillo, F.[Francesco], Herrera, G.[Gerardo], Casagli, N.[Nicola],
Semi-Automatic Identification and Pre-Screening of Geological-Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Wu, Q.[Qiong], Jia, C.T.[Chun-Ting], Chen, S.B.[Sheng-Bo], Li, H.Q.[Hong-Qing],
SBAS-InSAR Based Deformation Detection of Urban Land, Created from Mega-Scale Mountain Excavating and Valley Filling in the Loess Plateau: The Case Study of Yan'an City,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Del Soldato, M.[Matteo], Solari, L.[Lorenzo], Raspini, F.[Federico], Bianchini, S.[Silvia], Ciampalini, A.[Andrea], Montalti, R.[Roberto], Ferretti, A.[Alessandro], Pellegrineschi, V.[Vania], Casagli, N.[Nicola],
Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Yang, C.S.[Cheng-Sheng], Zhang, D.X.[Dong-Xiao], Zhao, C.Y.[Chao-Ying], Han, B.Q.[Bing-Quan], Sun, R.Q.[Rui-Qi], Du, J.T.[Jian-Tao], Chen, L.Q.[Li-Quan],
Ground Deformation Revealed by Sentinel-1 MSBAS-InSAR Time-Series over Karamay Oilfield, China,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Bianchini, S.[Silvia], Solari, L.[Lorenzo], Del Soldato, M.[Matteo], Raspini, F.[Federico], Montalti, R.[Roberto], Ciampalini, A.[Andrea], Casagli, N.[Nicola],
Ground Subsidence Susceptibility (GSS) Mapping in Grosseto Plain (Tuscany, Italy) Based on Satellite InSAR Data Using Frequency Ratio and Fuzzy Logic,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Mohamadi, B.[Bahaa], Balz, T.[Timo], Younes, A.[Ali],
A Model for Complex Subsidence Causality Interpretation Based on PS-InSAR Cross-Heading Orbits Analysis,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Ogushi, F.[Fumitaka], Matsuoka, M.[Masashi], Defilippi, M.[Marco], Pasquali, P.[Paolo],
Improvement of Persistent Scatterer Interferometry to Detect Large Non-Linear Displacements with the 2p Ambiguity by a Non-Parametric Approach,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Hu, Z.Q.[Zheng-Quan], Li, B.[Bin], Liu, Y.[Yu], Niu, X.W.[Xiao-Wei],
Research on quality improvement method of deformation monitoring data based on InSAR,
JVCIR(64), 2019, pp. 102652.
Elsevier DOI 1911
INSAR, Surface deformation, Monitoring, GPU acceleration BibRef

Zhang, L., Jia, H., Lu, Z., Liang, H., Ding, X., Li, X.,
Minimizing Height Effects in MTInSAR for Deformation Detection Over Built Areas,
GeoRS(57), No. 11, November 2019, pp. 9167-9176.
IEEE DOI 1911
Strain, Synthetic aperture radar, Estimation, Deformable models, Time series analysis, Radar imaging, Deformation time series, ridge estimation BibRef

Chen, F.[Fulong], Zhou, W.[Wei], Chen, C.[Caifen], Ma, P.[Peifeng],
Extended D-TomoSAR Displacement Monitoring for Nanjing (China) City Built Structure Using High-Resolution TerraSAR/TanDEM-X and Cosmo SkyMed SAR Data,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Othman, A.A.[Arsalan Ahmed], Maamar, A.F. .A.[Ahmed F. Al-], Al-Manmi, D.A.M.[Diary Ali Mohammed], Liesenberg, V.[Veraldo], Hasan, S.E.[Syed E.], Al-Saady, Y.I.[Younus I.], Shihab, A.T.[Ahmed T.], Khwedim, K.[Kareem],
Application of DInSAR-PSI Technology for Deformation Monitoring of the Mosul Dam, Iraq,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Matano, F.[Fabio],
Analysis and Classification of Natural and Human-Induced Ground Deformations at Regional Scale (Campania, Italy) Detected by Satellite Synthetic-Aperture Radar Interferometry Archive Datasets,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Yang, Y.J.[Yi-Jie], Hwang, C.[Cheinway], Hung, W.C.[Wei-Chia], Fuhrmann, T.[Thomas], Chen, Y.A.[Yi-An], Wei, S.H.[Shiang-Hung],
Surface Deformation from Sentinel-1A InSAR: Relation to Seasonal Groundwater Extraction and Rainfall in Central Taiwan,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Wang, B.H.[Bao-Hang], Zhao, C.Y.[Chao-Ying], Zhang, Q.[Qin], Peng, M.[Mimi],
Sequential InSAR Time Series Deformation Monitoring of Land Subsidence and Rebound in Xi'an, China,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Fryksten, J.[Jonas], Nilfouroushan, F.[Faramarz],
Analysis of Clay-Induced Land Subsidence in Uppsala City Using Sentinel-1 SAR Data and Precise Leveling,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Ullmann, T.[Tobias], Sauerbrey, J.[Julia], Hoffmeister, D.[Dirk], May, S.M.[Simon Matthias], Baumhauer, R.[Roland], Bubenzer, O.[Olaf],
Assessing Spatiotemporal Variations of Sentinel-1 InSAR Coherence at Different Time Scales over the Atacama Desert (Chile) between 2015 and 2018,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhao, X., Lan, H., Li, L., Zhang, Y., Zhou, C.,
A Multiple-Regression Model Considering Deformation Information for Atmospheric Phase Screen Compensation in Ground-Based SAR,
GeoRS(58), No. 2, February 2020, pp. 777-789.
IEEE DOI 2001
Strain, Interferometry, Synthetic aperture radar, Temperature measurement, Monitoring, Meters, Atmospheric modeling, multiple-regression model (MRM) BibRef

Wu, K.[Kai], Ji, C.[Ce], Luo, L.[Lei], Wang, X.Y.[Xin-Yuan],
Simulation Study of Moon-Based InSAR Observation for Solid Earth Tides,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Du, Y.[Yanan], Feng, G.C.[Guang-Cai], Liu, L.[Lin], Fu, H.[Haiqiang], Peng, X.[Xing], Wen, D.[Debao],
Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Lisa, M.D.[Michele Di], Ali, H.E.A.[Hossam Eldin A.], Mazzanti, P.[Paolo], Moretto, S.[Serena],
Inferring the Creep Settlement Behavior of Rockfill in Reclaimed Lands by Advanced SAR Interferometry and Numerical Modeling: An Example from Arabian Gulf,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Shi, X.[Xuguo], Zhang, L.[Li], Zhong, Y.L.[Yu-Long], Zhang, L.[Lu], Liao, M.S.[Ming-Sheng],
Detection and Characterization of Active Slope Deformations with Sentinel-1 InSAR Analyses in the Southwest Area of Shanxi, China,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Scoular, J.[Jennifer], Ghail, R.[Richard], Mason, P.[Philippa], Lawrence, J.[James], Bellhouse, M.[Matthew], Holley, R.[Rachel], Morgan, T.[Tom],
Retrospective InSAR Analysis of East London during the Construction of the Lee Tunnel,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Yu, Q.B.[Qing-Bo], Wang, Q.[Qing], Yan, X.X.[Xue-Xin], Yang, T.L.[Tian-Liang], Song, S.Y.[Sheng-Yuan], Yao, M.[Meng], Zhou, K.[Kai], Huang, X.[Xinlei],
Ground Deformation of the Chongming East Shoal Reclamation Area in Shanghai Based on SBAS-InSAR and Laboratory Tests,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Mastro, P.[Pietro], Serio, C.[Carmine], Masiello, G.[Guido], Pepe, A.[Antonio],
The Multiple Aperture SAR Interferometry (MAI) Technique for the Detection of Large Ground Displacement Dynamics: An Overview,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Jácome, M.C.[Marcelo Cando], Martinez-Graña, A.M., Valdés, V.,
Detection of Terrain Deformations Using InSAR Techniques in Relation to Results on Terrain Subsidence (Ciudad de Zaruma, Ecuador),
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Gido, N.A.A.[Nureldin A.A.], Amin, H.[Hadi], Bagherbandi, M.[Mohammad], Nilfouroushan, F.[Faramarz],
Satellite Monitoring of Mass Changes and Ground Subsidence in Sudan's Oil Fields Using GRACE and Sentinel-1 Data,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Crosetto, M.[Michele], Solari, L.[Lorenzo], Mróz, M.[Marek], Balasis-Levinsen, J.[Joanna], Casagli, N.[Nicola], Frei, M.[Michaela], Oyen, A.[Anneleen], Moldestad, D.A.[Dag Anders], Bateson, L.[Luke], Guerrieri, L.[Luca], Comerci, V.[Valerio], Andersen, H.S.[Henrik Steen],
The Evolution of Wide-Area DInSAR: From Regional and National Services to the European Ground Motion Service,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Owerko, T.[Tomasz], Kuras, P.[Przemyslaw], Ortyl, L.[Lukasz],
Atmospheric Correction Thresholds for Ground-Based Radar Interferometry Deformation Monitoring Estimated Using Time Series Analyses,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Svigkas, N.[Nikos], Loupasakis, C.[Constantinos], Papoutsis, I.[Ioannis], Kontoes, C.(.[Charalampos (Haris)], Alatza, S.[Stavroula], Tzampoglou, P.[Ploutarchos], Tolomei, C.[Cristiano], Spachos, T.[Thomas],
InSAR Campaign Reveals Ongoing Displacement Trends at High Impact Sites of Thessaloniki and Chalkidiki, Greece,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Surface Deformation From SAR Applied to Mine Subsidence .

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