4.12.8.2 Surface Deformation From SAR, InSAR, IFSAR, Interferometry

Berardino, P., Fornaro, G., Lanari, R., Sansosti, E.,
A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms,
GeoRS(40), No. 11, November 2002, pp. 2375-2383.
IEEE Top Reference. 0301
BibRef

Nico, G., Leva, D., Antonello, G., Tarchi, D.,
Ground-Based SAR Interferometry for Terrain Mapping: Theory and Sensitivity Analysis,
GeoRS(42), No. 6, June 2004, pp. 1344-1350.
IEEE Abstract. 0407
BibRef

Nico, G., Leva, D., Fortuny-Guasch, J., Antonello, G., Tarchi, D.,
Generation of Digital Terrain Models With a Ground-Based SAR System,
GeoRS(43), No. 1, January 2005, pp. 45-49.
IEEE Abstract. 0501
BibRef

Mora, O., Mallorqui, J.J., Broquetas, A.,
Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images,
GeoRS(41), No. 10, October 2003, pp. 2243-2253.
IEEE Abstract. 0310
BibRef

Strozzi, T., Wegmuller, U., Werner, C.L., Wiesmann, A., Spreckels, V.,
JERS SAR interferometry for land subsidence monitoring,
GeoRS(41), No. 7, July 2003, pp. 1702-1708.
IEEE Abstract. 0308
BibRef

Baran, I., Stewart, M.P., Claessens, S.,
A New Functional Model for Determining Minimum and Maximum Detectable Deformation Gradient Resolved by Satellite Radar Interferometry,
GeoRS(43), No. 4, April 2005, pp. 675-682.
IEEE Abstract. 0501
BibRef

Le Mouélic, S.[Stéphane], Raucoules, D.[Daniel], Carnec, C.[Claudie], King, C.[Christine],
A Least Squares Adjustment of Multi-temporal InSAR Data: Application to the Ground Deformation of Paris,
PhEngRS(71), No. 2, February 2005, pp. 197-204. The main ground deformations of Paris, France are revealed by a least squares adjustment of radar interferometry data coupled with a temporal filtering.
WWW Link. 0509
BibRef

Preiss, M., Gray, D.A., Stacy, N.J.S.,
Detecting Scene Changes Using Synthetic Aperture Radar Interferometry,
GeoRS(44), No. 8, August 2006, pp. 2041-2054.
IEEE DOI 0608
BibRef

Sletten, M.A.,
An Analysis of Gradient-Induced Distortion in ATI-SAR Imagery of Surface Currents,
GeoRS(44), No. 7, Part 2, July 2006, pp. 1995-2002.
IEEE DOI 0606
BibRef

Sletten, M.A.,
Demonstration of SAR Distortion Correction Using a Ground-Based Multichannel SAR Test Bed,
GeoRS(51), No. 5, May 2013, pp. 3181-3190.
IEEE DOI 1305
BibRef

Pal, S.K., Majumdar, T.J., Bhattacharya, A.K.[Amit K.],
ERS-2 SAR and IRS-1C LISS III data fusion: A PCA approach to improve remote sensing based geological interpretation,
PandRS(61), No. 5, January 2007, pp. 281-297.
Elsevier DOI 0703
ERS-2 SAR, IRS-1C LISS III, Image fusion, Feature-oriented principal components selection, Lithological discrimination, Change detection BibRef

Jager, M., Neumann, M., Guillaso, S., Reigber, A.,
A Self-Initializing PolInSAR Classifier Using Interferometric Phase Differences,
GeoRS(45), No. 11, November 2007, pp. 3503-3518.
IEEE DOI 0709
BibRef

Galimberti, M.[Marco],
Probe transit effect in interferometry of fast moving samples,
JOSA-A(24), No. 2, February 2007, pp. 304-310.
WWW Link. 0801
BibRef

Guo, H.W.[Hong-Wei], Yu, Y.J.[Ying-Jie], Chen, M.Y.[Ming-Yi],
Blind phase shift estimation in phase-shifting interferometry,
JOSA-A(24), No. 1, January 2007, pp. 25-33.
WWW Link. 0801
BibRef

Prats, P., Reigber, A., Mallorqui, J.J., Scheiber, R., Moreira, A.,
Estimation of the Temporal Evolution of the Deformation Using Airborne Differential SAR Interferometry,
GeoRS(46), No. 4, April 2008, pp. 1065-1078.
IEEE DOI 0803
BibRef

Crosetto, M.[Michele], Biescas, E.[Erlinda], Duro, J.[Javier], Closa, J.[Josep], Arnaud, A.[Alain],
Generation of Advanced ERS and Envisat Interferometric SAR Products Using the Stable Point Network Technique,
PhEngRS(74), No. 4, April 2008, pp. 443-450.
WWW Link. 0804
Land deformation monitoring using a time series of spaceborne SAR images. BibRef

Yang, D.[Dochul], Buckley, S.M.,
Estimating High-Resolution Atmospheric Phase Screens From Radar Interferometry Data,
GeoRS(49), No. 8, August 2011, pp. 3117-3128.
IEEE DOI 1108
BibRef

Herrera, G., Tomas, R., Lopez-Sanchez, J.M., Delgado, J., Vicente, F., Mulas, J., Cooksley, G., Sanchez, M., Duro, J., Arnaud, A., Blanco, P., Duque, S., Mallorqui, J.J., de la Vega-Panizo, R., Monserrat, O.,
Validation and comparison of Advanced Differential Interferometry Techniques: Murcia metropolitan area case study,
PandRS(64), No. 5, September 2009, pp. 501-512.
Elsevier DOI 0910
Advanced DInSAR, Ground surface deformation, Subsidence, Monitoring, Validation BibRef

Erten, E., Reigber, A., Hellwich, O.,
Generation of three-dimensional deformation maps from InSAR data using spectral diversity techniques,
PandRS(65), No. 4, July 2010, pp. 388-394.
Elsevier DOI 1003
Spectral diversity, DInSAR, 3D deformation analysis, Weighted least squares BibRef

Stramondo, S., del Frate, F., Picchiani, M., Schiavon, G.,
Seismic Source Quantitative Parameters Retrieval From InSAR Data and Neural Networks,
GeoRS(49), No. 1, January 2011, pp. 96-104.
IEEE DOI 1101
BibRef

Zhang, L.[Lei], Ding, X.L.[Xiao-Li], Lu, Z.[Zhong],
Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions,
PandRS(66), No. 1, January 2011, pp. 146-152.
Elsevier DOI 1101
SAR, Monitoring, Statistics, Change detection, Comparison BibRef

Shirzaei, M., Walter, T.R.,
Estimating the Effect of Satellite Orbital Error Using Wavelet-Based Robust Regression Applied to InSAR Deformation Data,
GeoRS(49), No. 11, November 2011, pp. 4600-4605.
IEEE DOI 1112
BibRef

Sumantyo, J.T.S., Shimada, M., Mathieu, P., Abidin, H.Z.,
Long-Term Consecutive DInSAR for Volume Change Estimation of Land Deformation,
GeoRS(50), No. 1, January 2012, pp. 259-270.
IEEE DOI 1201
BibRef

Liu, A., Hsu, M.,
Deriving Ocean Surface Drift Using Multiple SAR Sensors,
RS(1), No. 3, September 2009, pp. 266-277.
DOI Link 1203
BibRef

Crosetto, M., Monserrat, O., Cuevas, M., Crippa, B.,
Spaceborne Differential SAR Interferometry: Data Analysis Tools for Deformation Measurement,
RS(3), No. 2, February 2011, pp. 305-318.
DOI Link 1203
BibRef

Debella-Gilo, M., Kääb, A.,
Measurement of Surface Displacement and Deformation of Mass Movements Using Least Squares Matching of Repeat High Resolution Satellite and Aerial Images,
RS(4), No. 1, January 2012, pp. 43-67.
DOI Link 1203
BibRef

Mura, J., Pinheiro, M., Rosa, R., Moreira, J.,
A Phase-Offset Estimation Method for InSAR DEM Generation Based on Phase-Offset Functions,
RS(4), No. 3, March 2012, pp. 745-761;.
DOI Link 1204
BibRef

Chen, J.[Jie], Wu, J.C.[Ji-Cang], Zhang, L.[Lina], Zou, J.P.[Jun-Ping], Liu, G.X.[Guo-Xiang], Zhang, R.[Rui], Yu, B.[Bing],
Deformation Trend Extraction Based on Multi-Temporal InSAR in Shanghai,
RS(5), No. 4, April 2013, pp. 1774-1786.
DOI Link 1305
BibRef

Dehghani, M.[Maryam], Javadi, H.R.[Hamid Reza],
Remote sensing of ground deformation,
SPIE(Newsroom), March 18, 2013.
DOI Link 1305
An unconventional synthetic aperture radar interferometry technique can be used to measure deformation of vegetated regions. BibRef

Barnhart, T.B.[Theodore B.], Crosby, B.T.[Benjamin T.],
Comparing Two Methods of Surface Change Detection on an Evolving Thermokarst Using High-Temporal-Frequency Terrestrial Laser Scanning, Selawik River, Alaska,
RS(5), No. 6, 2013, pp. 2813-2837.
DOI Link 1307
BibRef

del Ventisette, C.[Chiara], Ciampalini, A.[Andrea], Manunta, M.[Michele], Calò, F.[Fabiana], Paglia, L.[Luca], Ardizzone, F.[Francesca], Mondini, A.C.[Alessandro Cesare], Reichenbach, P.[Paola], Mateos, R.M.[Rosa Maria], Bianchini, S.[Silvia], Garcia, I.[Immaculada], Füsi, B.[Balázs], Deák, Z.V.[Zsuzsa Villo], Rádi, K.[Károly], Graniczny, M.[Marek], Kowalski, Z.[Zbigniew], Piatkowska, A.[Anna], Przylucka, M.[Maria], Retzo, H.[Hugo], Strozzi, T.[Tazio], Colombo, D.[Davide], Mora, O.[Oscar], Sánchez, F.[Francisco], Herrera, G.[Gerardo], Moretti, S.[Sandro], Casagli, N.[Nicola], Guzzetti, F.[Fausto],
Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations,
RS(5), No. 8, 2013, pp. 3896-3917.
DOI Link 1309
BibRef

Wang, J., Liu, X.,
Measurement of Sharpness and Its Application in ISAR Imaging,
GeoRS(51), No. 9, 2013, pp. 4885-4892.
IEEE DOI 1309
Density measurement BibRef

El Gharbawi, T.[Tamer], Tamura, M.[Masayuki],
Measuring deformations using SAR interferometry and GPS observables with geodetic accuracy: Application to Tokyo, Japan,
PandRS(88), No. 1, 2014, pp. 156-165.
Elsevier DOI 1402
InSAR BibRef

Hu, J., Zhang, J., Zhai, Q., Zhan, R., Lu, D.,
ISAR Imaging Using a New Stepped-Frequency Signal Format,
GeoRS(52), No. 7, July 2014, pp. 4291-4305.
IEEE DOI 1403
Chirp BibRef

Liu, G.X.[Guo-Xiang], Jia, H.G.[Hong-Guo], Nie, Y.[Yunju], Li, T.[Tao], Zhang, R.[Rui], Yu, B.[Bing], Li, Z.L.[Zhi-Lin],
Detecting Subsidence in Coastal Areas by Ultrashort-Baseline TCPInSAR on the Time Series of High-Resolution TerraSAR-X Images,
GeoRS(52), No. 4, April 2014, pp. 1911-1923.
IEEE DOI 1403
oceanographic techniques BibRef

Li, T.[Tao], Liu, G.X.[Guo-Xiang], Lin, H.[Hui], Jia, H.G.[Hong-Guo], Zhang, R.[Rui], Yu, B.[Bing], Luo, Q.L.[Qing-Li],
A Hierarchical Multi-Temporal InSAR Method for Increasing the Spatial Density of Deformation Measurements,
RS(6), No. 4, 2014, pp. 3349-3368.
DOI Link 1405
BibRef
Earlier: A1, A2, A4, A3, A5, A6, A7:
An Improved Multi-Temporal Insar Method for Increasing Spatial Resolution of Surface Deformation Measurements,
SSG13(145-150).
DOI Link 1402
BibRef

Yu, B., Liu, G.X., Jia, H.G., Dai, K.R., Zhang, R., Li, T., Wang, X.W., Ma, D.Y.,
Short Baseline TerraSAR-X PSI for Monitoring Subsidence of Highways and Railways, Case Study with Corner Reflectors,
SSG13(277-282).
DOI Link 1402
BibRef

Dai, K.R., Liu, G.X., Yu, B., Jia, H.G., Ma, D.Y., Wang, X.W.,
Detecting Subsidence Along a High Speed Railway by Ultrashort Baseline TCP-InSAR with High Resolution Images,
SSG13(61-65).
DOI Link 1402
BibRef

Monserrat, O., Crosetto, M., Luzi, G.,
A review of ground-based SAR interferometry for deformation measurement,
PandRS(93), No. 1, 2014, pp. 40-48.
Elsevier DOI 1407
SAR BibRef

Crosetto, M.[Michele], Monserrat, O.[Oriol], Luzi, G.[Guido], Cuevas-González, M.[María], Devanthéry, N.[Núria],
Discontinuous GBSAR deformation monitoring,
PandRS(93), No. 1, 2014, pp. 136-141.
Elsevier DOI 1407
SAR BibRef

Hu, B.[Bo], Wang, H.S.[Han-Sheng], Sun, Y.L.[Yong-Ling], Hou, J.G.[Jian-Guo], Liang, J.[Jun],
Long-Term Land Subsidence Monitoring of Beijing (China) Using the Small Baseline Subset (SBAS) Technique,
RS(6), No. 5, 2014, pp. 3648-3661.
DOI Link 1407
BibRef

Anghel, A., Vasile, G., Cacoveanu, R., Ioana, C., Ciochina, S.,
Short-Range Wideband FMCW Radar for Millimetric Displacement Measurements,
GeoRS(52), No. 9, September 2014, pp. 5633-5642.
IEEE DOI 1407
CW radar BibRef

Luo, Q.L.[Qing-Li], Perissin, D.[Daniele], Zhang, Y.Z.[Yuan-Zhi], Jia, Y.L.[You-Liang],
L- and X-Band Multi-Temporal InSAR Analysis of Tianjin Subsidence,
RS(6), No. 9, 2014, pp. 7933-7951.
DOI Link 1410
BibRef

Polcari, M.[Marco], Albano, M.[Matteo], Saroli, M.[Michele], Tolomei, C.[Cristiano], Lancia, M.[Michele], Moro, M.[Marco], Stramondo, S.[Salvatore],
Subsidence Detected by Multi-Pass Differential SAR Interferometry in the Cassino Plain (Central Italy): Joint Effect of Geological and Anthropogenic Factors?,
RS(6), No. 10, 2014, pp. 9676-9690.
DOI Link 1411
BibRef

Lubitz, C.[Christin], Motagh, M.[Mahdi], Kaufmann, H.[Hermann],
Ground Surface Response to Geothermal Drilling and the Following Counteractions in Staufen im Breisgau (Germany) Investigated by TerraSAR-X Time Series Analysis and Geophysical Modeling,
RS(6), No. 11, 2014, pp. 10571-10592.
DOI Link 1412
BibRef

Ashrafianfar, N.[Nazemeh], Busch, W.[Wolfgang], Dehghani, M.[Maryam], Knospe, S.[Steffen], Tabari, M.M.R.[Mahmud Mohammad Rezapour],
DInSAR Time Series of ALOS PALSAR and ENVISAT ASAR Data for Monitoring Hashtgerd Land Subsidence due to Overexploitation of Groundwater,
PFG(2014), No. 6, 2014, pp. 497-510.
DOI Link 1503
BibRef

Morishita, Y., Hanssen, R.F.,
Deformation Parameter Estimation in Low Coherence Areas Using a Multisatellite InSAR Approach,
GeoRS(53), No. 8, August 2015, pp. 4275-4283.
IEEE DOI 1506
decorrelation BibRef

Hsu, W.C.[Wei-Chen], Chang, H.C.[Hung-Cheng], Chang, K.T.[Kuan-Tsung], Lin, E.K.[En-Kai], Liu, J.K.[Jin-King], Liou, Y.A.[Yuei-An],
Observing Land Subsidence and Revealing the Factors That Influence It Using a Multi-Sensor Approach in Yunlin County, Taiwan,
RS(7), No. 6, 2015, pp. 8202.
DOI Link 1507
BibRef

Siles, G.L.[Gabriela Llanet], Alcérreca-Huerta, J.C.[Juan Carlos], López-Quiroz, P.[Penélope], Niemeier, W.[Wolfgang],
Long Term Subsidence Analysis and Soil Fracturing Zonation Based on InSAR Time Series Modelling in Northern Zona Metropolitana del Valle de Mexico,
RS(7), No. 6, 2015, pp. 6908.
DOI Link 1507
BibRef

Sowter, A.[Andrew], Cigna, F.[Francesca],
On the Use of the ISBAS Acronym in InSAR Applications,
RS(7), No. 9, 2015, pp. 11322.
DOI Link 1511
Comment on:
See also StaMPS Improvement for Deformation Analysis in Mountainous Regions: Implications for the Damavand Volcano and Mosha Fault in Alborz. BibRef

Kim, J.W.[Jin-Woo], Lu, Z.[Zhong], Jia, Y.Y.[Yuan-Yuan], Shum, C.K.,
Ground subsidence in Tucson, Arizona, monitored by time-series analysis using multi-sensor InSAR datasets from 1993 to 2011,
PandRS(107), No. 1, 2015, pp. 126-141.
Elsevier DOI 1508
BibRef
And: Corrigendum: PandRS(211), 2024, pp. 171.
Elsevier DOI 2405
InSAR BibRef

Qin, Y.X.[Yu-Xiao], Perissin, D.[Daniele],
Monitoring Ground Subsidence in Hong Kong via Spaceborne Radar: Experiments and Validation,
RS(7), No. 8, 2015, pp. 10715.
DOI Link 1509
BibRef

Dai, K.[Keren], Liu, G.X.[Guo-Xiang], Li, Z.H.[Zhen-Hong], Li, T.[Tao], Yu, B.[Bing], Wang, X.W.[Xiao-Wen], Singleton, A.[Andrew],
Extracting Vertical Displacement Rates in Shanghai (China) with Multi-Platform SAR Images,
RS(7), No. 8, 2015, pp. 9542.
DOI Link 1509
BibRef

Jung, H.S.[Hyung-Sup], Lu, Z.[Zhong], Shepherd, A., Wright, T.,
Simulation of the SuperSAR Multi-Azimuth Synthetic Aperture Radar Imaging System for Precise Measurement of Three-Dimensional Earth Surface Displacement,
GeoRS(53), No. 11, November 2015, pp. 6196-6206.
IEEE DOI 1509
geophysical techniques BibRef

Meng, Y.S.[Yun-Shan], Lan, H.X.[Heng-Xing], Li, L.P.[Lang-Ping], Wu, Y.M.[Yu-Ming], Li, Q.W.[Quan-Wen],
Characteristics of Surface Deformation Detected by X-band SAR Interferometry over Sichuan-Tibet Grid Connection Project Area, China,
RS(7), No. 9, 2015, pp. 12265.
DOI Link 1511
BibRef

He, L.M.[Li-Ming], Wu, L.X.[Li-Xin], Liu, S.J.[Shan-Jun], Wang, Z.[Zhi], Su, C.[Chang], Liu, S.N.[Sheng-Nan],
Mapping Two-Dimensional Deformation Field Time-Series of Large Slope by Coupling DInSAR-SBAS with MAI-SBAS,
RS(7), No. 9, 2015, pp. 12440.
DOI Link 1511
BibRef

Barboux, C.[Chloé], Strozzi, T.[Tazio], Delaloye, R.[Reynald], Wegmüller, U.[Urs], Collet, C.[Claude],
Mapping slope movements in Alpine environments using TerraSAR-X interferometric methods,
PandRS(109), No. 1, 2015, pp. 178-192.
Elsevier DOI 1512
DInSAR BibRef

de Luca, C.[Claudio], Cuccu, R.[Roberto], Elefante, S.[Stefano], Zinno, I.[Ivana], Manunta, M.[Michele], Casola, V.[Valentina], Rivolta, G.[Giancarlo], Lanari, R.[Riccardo], Casu, F.[Francesco],
An On-Demand Web Tool for the Unsupervised Retrieval of Earth's Surface Deformation from SAR Data: The P-SBAS Service within the ESA G-POD Environment,
RS(7), No. 11, 2015, pp. 15630.
DOI Link 1512
BibRef

Cianflone, G.[Giuseppe], Tolomei, C.[Cristiano], Brunori, C.A.[Carlo Alberto], Dominici, R.[Rocco],
InSAR Time Series Analysis of Natural and Anthropogenic Coastal Plain Subsidence: The Case of Sibari (Southern Italy),
RS(7), No. 12, 2015, pp. 15812.
DOI Link 1601
BibRef

Pacheco-Martínez, J.[Jesús], Cabral-Cano, E.[Enrique], Wdowinski, S.[Shimon], Hernández-Marín, M.[Martín], Ortiz-Lozano, J.Á.[José Ángel], Zermeño-de-León, M.E.[Mario Eduardo],
Application of InSAR and Gravimetry for Land Subsidence Hazard Zoning in Aguascalientes, Mexico,
RS(7), No. 12, 2015, pp. 15868.
DOI Link 1601
BibRef

Liu, P.[Peng], Li, Q.Q.[Qing-Quan], Li, Z.H.[Zhen-Hong], Hoey, T.[Trevor], Liu, G.X.[Guo-Xiang], Wang, C.S.[Chi-Sheng], Hu, Z.W.[Zhong-Wen], Zhou, Z.W.[Zhi-Wei], Singleton, A.[Andrew],
Anatomy of Subsidence in Tianjin from Time Series InSAR,
RS(8), No. 3, 2016, pp. 266.
DOI Link 1604
BibRef

Zhou, W.[Wei], Li, S.L.[Shao-Lin], Zhou, Z.W.[Zhi-Wei], Chang, X.L.[Xiao-Lin],
Remote Sensing of Deformation of a High Concrete-Faced Rockfill Dam Using InSAR: A Study of the Shuibuya Dam, China,
RS(8), No. 3, 2016, pp. 255.
DOI Link 1604
BibRef

Zhou, W.[Wei], Li, S.L.[Shao-Lin], Zhou, Z.W.[Zhi-Wei], Chang, X.L.[Xiao-Lin],
InSAR Observation and Numerical Modeling of the Earth-Dam Displacement of Shuibuya Dam (China),
RS(8), No. 10, 2016, pp. 877.
DOI Link 1609
BibRef

Hu, J.[Jun], Wang, Q.J.[Qi-Jie], Li, Z.W.[Zhi-Wei], Zhao, R.[Rong], Sun, Q.[Qian],
Investigating the Ground Deformation and Source Model of the Yangbajing Geothermal Field in Tibet, China with the WLS InSAR Technique,
RS(8), No. 3, 2016, pp. 191.
DOI Link 1604
BibRef

Zwieback, S., Hajnsek, I.,
Influence of Vegetation Growth on the Polarimetric Zero-Baseline DInSAR Phase Diversity: Implications for Deformation Studies,
GeoRS(54), No. 5, May 2016, pp. 3070-3082.
IEEE DOI 1604
crops BibRef

Tosi, L.[Luigi], da Lio, C.[Cristina], Strozzi, T.[Tazio], Teatini, P.[Pietro],
Combining L- and X-Band SAR Interferometry to Assess Ground Displacements in Heterogeneous Coastal Environments: The Po River Delta and Venice Lagoon, Italy,
RS(8), No. 4, 2016, pp. 308.
DOI Link 1604
BibRef

Yang, C.S.[Cheng-Sheng], Zhang, Q.[Qin], Xu, Q.A.[Qi-Ang], Zhao, C.Y.[Chao-Ying], Peng, J.B.[Jian-Bing], Ji, L.Y.[Ling-Yun],
Complex Deformation Monitoring over the Linfen-Yuncheng Basin (China) with Time Series InSAR Technology,
RS(8), No. 4, 2016, pp. 284.
DOI Link 1604
BibRef

Gong, W.Y.[Wen-Yu], Thiele, A.[Antje], Hinz, S.[Stefan], Meyer, F.J.[Franz J.], Hooper, A.[Andrew], Agram, P.S.[Piyush S.],
Comparison of Small Baseline Interferometric SAR Processors for Estimating Ground Deformation,
RS(8), No. 4, 2016, pp. 330.
DOI Link 1604
BibRef

Le, T.S.[Tuan S.], Chang, C.P.[Chung-Pai], Nguyen, X.T.[Xuan T.], Yhokha, A.[Akano],
TerraSAR-X Data for High-Precision Land Subsidence Monitoring: A Case Study in the Historical Centre of Hanoi, Vietnam,
RS(8), No. 4, 2016, pp. 338.
DOI Link 1604
BibRef

Bai, L.[Lin], Jiang, L.M.[Li-Ming], Wang, H.S.[Han-Sheng], Sun, Q.S.[Qi-Shi],
Spatiotemporal Characterization of Land Subsidence and Uplift (2009-2010) over Wuhan in Central China Revealed by TerraSAR-X InSAR Analysis,
RS(8), No. 4, 2016, pp. 350.
DOI Link 1604
BibRef

Chen, M.[Mi], Tomás, R.[Roberto], Li, Z.H.[Zhen-Hong], Motagh, M.[Mahdi], Li, T.[Tao], Hu, L.[Leyin], Gong, H.[Huili], Li, X.J.[Xiao-Juan], Yu, J.[Jun], Gong, X.L.[Xu-Long],
Imaging Land Subsidence Induced by Groundwater Extraction in Beijing (China) Using Satellite Radar Interferometry,
RS(8), No. 6, 2016, pp. 468.
DOI Link 1608
BibRef

Zwieback, S., Liu, X., Antonova, S., Heim, B., Bartsch, A., Boike, J., Hajnsek, I.,
A Statistical Test of Phase Closure to Detect Influences on DInSAR Deformation Estimates Besides Displacements and Decorrelation Noise: Two Case Studies in High-Latitude Regions,
GeoRS(54), No. 9, September 2016, pp. 5588-5601.
IEEE DOI 1609
BibRef
And: Correction:
IEEE DOI 1901
Synthetic aperture radar, Interferometry, Strain, Decorrelation, Remote sensing, Environmental engineering atmospheric precipitation BibRef

Xu, B.[Bing], Feng, G.C.[Guang-Cai], Li, Z.W.[Zhi-Wei], Wang, Q.J.[Qi-Jie], Wang, C.C.[Chang-Cheng], Xie, R.[Rongan],
Coastal Subsidence Monitoring Associated with Land Reclamation Using the Point Target Based SBAS-InSAR Method: A Case Study of Shenzhen, China,
RS(8), No. 8, 2016, pp. 652.
DOI Link 1609
BibRef

Zhang, Y.H.[Yong-Hong], Wu, H.A.[Hong-An], Kang, Y.H.[Yong-Hui], Zhu, C.G.[Chuan-Guang],
Ground Subsidence in the Beijing-Tianjin-Hebei Region from 1992 to 2014 Revealed by Multiple SAR Stacks,
RS(8), No. 8, 2016, pp. 675.
DOI Link 1609
BibRef

Bonì, R.[Roberta], Pilla, G.[Giorgio], Meisina, C.[Claudia],
Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis,
RS(8), No. 8, 2016, pp. 686.
DOI Link 1609
BibRef

Cignetti, M.[Martina], Manconi, A.[Andrea], Manunta, M.[Michele], Giordan, D.[Daniele], de Luca, C.[Claudio], Allasia, P.[Paolo], Ardizzone, F.[Francesca],
Taking Advantage of the ESA G-POD Service to Study Ground Deformation Processes in High Mountain Areas: A Valle d'Aosta Case Study, Northern Italy,
RS(8), No. 10, 2016, pp. 852.
DOI Link 1609
BibRef

Béjar-Pizarro, M.[Marta], Guardiola-Albert, C.[Carolina], García-Cárdenas, R.P.[Ramón P.], Herrera, G.[Gerardo], Barra, A.[Anna], Molina, A.L.[Antonio López], Tessitore, S.[Serena], Staller, A.[Alejandra], Ortega-Becerril, J.A.[José A.], García-García, R.P.[Ramón P.],
Interpolation of GPS and Geological Data Using InSAR Deformation Maps: Method and Application to Land Subsidence in the Alto Guadalentín Aquifer (SE Spain),
RS(8), No. 11, 2016, pp. 965.
DOI Link 1612
BibRef

Dai, W.J.[Wu-Jiao], Liu, N.[Ning], Santerre, R.[Rock], Pan, J.B.[Jia-Bao],
Dam Deformation Monitoring Data Analysis Using Space-Time Kalman Filter,
IJGI(5), No. 12, 2016, pp. 236.
DOI Link 1612
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DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
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Vollrath, A.[Andreas], Zucca, F.[Francesco], Bekaert, D.[David], Bonforte, A.[Alessandro], Guglielmino, F.[Francesco], Hooper, A.J.[Andrew J.], Stramondo, S.[Salvatore],
Decomposing DInSAR Time-Series into 3-D in Combination with GPS in the Case of Low Strain Rates: An Application to the Hyblean Plateau, Sicily, Italy,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
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Zhou, C.F.[Chao-Fan], Gong, H.[Huili], Chen, B.B.[Bei-Bei], Li, J.[Jiwei], Gao, M.L.[Ming-Liang], Zhu, F.[Feng], Chen, W.F.[Wen-Feng], Liang, Y.[Yue],
InSAR Time-Series Analysis of Land Subsidence under Different Land Use Types in the Eastern Beijing Plain, China,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
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Zuo, J.J.[Jun-Jie], Gong, H.[Huili], Chen, B.B.[Bei-Bei], Liu, K.[Kaisi], Zhou, C.F.[Chao-Fan], Ke, Y.H.[Ying-Hai],
Time-Series Evolution Patterns of Land Subsidence in the Eastern Beijing Plain, China,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
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Gao, M.L.[Ming-Liang], Gong, H.L.[Hui-Li], Chen, B.B.[Bei-Bei], Li, X.J.[Xiao-Juan], Zhou, C.F.[Chao-Fan], Shi, M.[Min], Si, Y.[Yuan], Chen, Z.[Zheng], Duan, G.Y.[Guang-Yao],
Regional Land Subsidence Analysis in Eastern Beijing Plain by InSAR Time Series and Wavelet Transforms,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Garthwaite, M.C.[Matthew C.],
On the Design of Radar Corner Reflectors for Deformation Monitoring in Multi-Frequency InSAR,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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And: Correction: RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Luo, Q.L.[Qing-Li], Zhou, G.Q.[Guo-Qing], Perissin, D.[Daniele],
Monitoring of Subsidence along Jingjin Inter-City Railway with High-Resolution TerraSAR-X MT-InSAR Analysis,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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Vandebroek, E.[Elena], Lindenbergh, R.[Roderik], van Leijen, F.[Freek], de Schipper, M.[Matthieu], de Vries, S.[Sierd], Hanssen, R.[Ramon],
Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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Barra, A.[Anna], Solari, L.[Lorenzo], Béjar-Pizarro, M.[Marta], Monserrat, O.[Oriol], Bianchini, S.[Silvia], Herrera, G.[Gerardo], Crosetto, M.[Michele], Sarro, R.[Roberto], González-Alonso, E.[Elena], Mateos, R.M.[Rosa María], Ligüerzana, S.[Sergio], López, C.[Carmen], Moretti, S.[Sandro],
A Methodology to Detect and Update Active Deformation Areas Based on Sentinel-1 SAR Images,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Hu, C., Li, Y., Dong, X., Wang, R., Cui, C., Zhang, B.,
Three-Dimensional Deformation Retrieval in Geosynchronous SAR by Multiple-Aperture Interferometry Processing: Theory and Performance Analysis,
GeoRS(55), No. 11, November 2017, pp. 6150-6169.
IEEE DOI 1711
Extraterrestrial measurements, Geologic measurements, Low earth orbit satellites, 3-D deformation measurement, differential interferometric SAR (D-InSAR), geosynchronous, BibRef

Zhou, L.[Lv], Guo, J.M.[Ji-Ming], Hu, J.Y.[Ji-Yuan], Li, J.W.[Jiang-Wei], Xu, Y.F.[Yong-Feng], Pan, Y.J.[Yuan-Jin], Shi, M.[Miao],
Wuhan Surface Subsidence Analysis in 2015-2016 Based on Sentinel-1A Data by SBAS-InSAR,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Wang, H.Q.[Hui-Qiang], Feng, G.C.[Guang-Cai], Xu, B.[Bing], Yu, Y.P.[Yong-Ping], Li, Z.W.[Zhi-Wei], Du, Y.[Yanan], Zhu, J.J.[Jian-Jun],
Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Liu, X.[Xiaoge], Hu, J.[Jun], Sun, Q.[Qian], Li, Z.W.[Zhi-Wei], Zhu, J.J.[Jian-Jun],
Deriving 3-D Time-Series Ground Deformations Induced by Underground Fluid Flows with InSAR: Case Study of Sebei Gas Fields, China,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Dheenathayalan, P., Caro Cuenca, M., Hoogeboom, P., Hanssen, R.F.,
Small Reflectors for Ground Motion Monitoring With InSAR,
GeoRS(55), No. 12, December 2017, pp. 6703-6712.
IEEE DOI 1712
Clutter, Monitoring, Radar cross-sections, Signal to noise ratio, Standards, Synthetic aperture radar, synthetic aperture radar (SAR) BibRef

Yu, L.[Lei], Yang, T.L.[Tian-Liang], Zhao, Q.[Qing], Liu, M.[Min], Pepe, A.[Antonio],
The 2015-2016 Ground Displacements of the Shanghai Coastal Area Inferred from a Combined COSMO-SkyMed/Sentinel-1 DInSAR Analysis,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Semple, A.G.[Alana G.], Pritchard, M.E.[Matthew E.], Lohman, R.B.[Rowena B.],
An Incomplete Inventory of Suspected Human-Induced Surface Deformation in North America Detected by Satellite Interferometric Synthetic-Aperture Radar,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Hung, W.C.[Wei-Chia], Hwang, C.[Cheinway], Chen, Y.A.[Yi-An], Zhang, L.[Lei], Chen, K.H.[Kuan-Hung], Wei, S.H.[Shiang-Hung], Huang, D.R.[Da-Ren], Lin, S.H.[Shu-Han],
Land Subsidence in Chiayi, Taiwan, from Compaction Well, Leveling and ALOS/PALSAR: Aquaculture-Induced Relative Sea Level Rise,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Liu, R.[Renli], Zou, R.[Rong], Li, J.C.[Jian-Cheng], Zhang, C.H.[Cai-Hong], Zhao, B.[Bin], Zhang, Y.K.[Ya-Kun],
Vertical Displacements Driven by Groundwater Storage Changes in the North China Plain Detected by GPS Observations,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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i Aslan, G.[Gokhan], Cakir, Z.[Ziyadin], Ergintav, S.[Semih], Lasserre, C.[Cécile], Renard, F.[François],
Analysis of Secular Ground Motions in Istanbul from a Long-Term InSAR Time-Series (1992-2017),
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Neelmeijer, J.[Julia], Schöne, T.[Tilo], Dill, R.[Robert], Klemann, V.[Volker], Motagh, M.[Mahdi],
Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data: A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Gundersen, R.[Rune], Norland, R.[Richard], Denby, C.R.[Cecilie Rolstad],
Ground-Based Differential Interferometric Radar Monitoring of Unstable Mountain Blocks in a Coastal Environment,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Qin, X.Q.[Xiao-Qiong], Zhang, L.[Lu], Ding, X.L.[Xiao-Li], Liao, M.S.[Ming-Sheng], Yang, M.[Mengshi],
Mapping and Characterizing Thermal Dilation of Civil Infrastructures with Multi-Temporal X-Band Synthetic Aperture Radar Interferometry,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Dematteis, N.[Niccolò], Giordan, D.[Daniele], Zucca, F.[Francesco], Luzi, G.[Guido], Allasia, P.[Paolo],
4D surface kinematics monitoring through terrestrial radar interferometry and image cross-correlation coupling,
PandRS(142), 2018, pp. 38-50.
Elsevier DOI 1807
3D motion, Surface kinematics, GBSAR, Image cross-correlation, Sensor network, Data integration, Interferometry, Monitoring BibRef

Chen, J.[Jie], Günther, F.[Frank], Grosse, G.[Guido], Liu, L.[Lin], Lin, H.[Hui],
Sentinel-1 InSAR Measurements of Elevation Changes over Yedoma Uplands on Sobo-Sise Island, Lena Delta,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Liu, P.[Peng], Chen, X.F.[Xiao-Fei], Li, Z.H.[Zhen-Hong], Zhang, Z.G.[Zhen-Guo], Xu, J.K.[Jian-Kuan], Feng, W.P.[Wan-Peng], Wang, C.S.[Chi-Sheng], Hu, Z.W.[Zhong-Wen], Tu, W.[Wei], Li, H.Z.[Hong-Zhong],
Resolving Surface Displacements in Shenzhen of China from Time Series InSAR,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Tosi, L.[Luigi], da Lio, C.[Cristina], Teatini, P.[Pietro], Strozzi, T.[Tazio],
Land Subsidence in Coastal Environments: Knowledge Advance in the Venice Coastland by TerraSAR-X PSI,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Wang, Z.[Zheng], Li, Z.H.[Zhen-Hong], Mills, J.[Jon],
A new approach to selecting coherent pixels for ground-based SAR deformation monitoring,
PandRS(144), 2018, pp. 412-422.
Elsevier DOI 1809
Ground-Based Synthetic Aperture Radar (GBSAR), Interferometry, Time series analysis, Deformation monitoring, Small Baseline Subset (SBAS) algorithm 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
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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
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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
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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
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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
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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.H.[Jun-Huan], 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
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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
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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
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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
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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
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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
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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
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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
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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
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Xing, X.M.[Xue-Min], Chang, H.C.[Hsing-Chung], Chen, L.[Lifu], Zhang, J.H.[Jun-Hui], Yuan, Z.H.[Zhi-Hui], Shi, Z.N.[Zhen-Ning],
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
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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
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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
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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
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Zhao, Q.[Qing], Ma, G.[Guanyu], Wang, Q.A.[Qi-Ang], Yang, T.L.[Tian-Liang], 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
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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

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
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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
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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

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
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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],
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Scoular, J.[Jennifer], Ghail, R.[Richard], Mason, P.[Philippa], Lawrence, J.[James], Bellhouse, M.[Matthew], Holley, R.[Rachel], Morgan, T.[Tom],
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Jácome, M.C.[Marcelo Cando], Martinez-Graña, A.M., Valdés, V.,
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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,
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Radar interferometry, Displacement, Accuracy test, Signal-to-noise ratio, Thermal SNR, Estimated SNR BibRef

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Monterroso, F.[Fernando], Bonano, M.[Manuela], de Luca, C.[Claudio], Lanari, R.[Riccardo], Manunta, M.[Michele], Manzo, M.[Mariarosaria], Onorato, G.[Giovanni], Zinno, I.[Ivana], Casu, F.[Francesco],
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Spatial Analysis of Land Subsidence in the San Luis Potosi Valley Induced by Aquifer Overexploitation Using the Coherent Pixels Technique (CPT) and Sentinel-1 InSAR Observation,
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Shi, W.[Wei], Chen, G.[Guan], Meng, X.M.[Xing-Min], Jiang, W.Y.[Wan-Yu], Chong, Y.[Yan], Zhang, Y.[Yi], Dong, Y.[Ying], Zhang, M.S.[Mao-Sheng],
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Strain, Fading channels, Time series analysis, Synthetic aperture radar, Systematics, Decorrelation, Moisture, time-series analysis BibRef

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Xiang, W.[Wei], Zhang, R.[Rui], Liu, G.X.[Guo-Xiang], Wang, X.W.[Xiao-Wen], Mao, W.F.[Wen-Fei], Zhang, B.[Bo], Fu, Y.[Yin], Wu, T.T.[Ting-Ting],
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Anantrasirichai, N., Biggs, J., Kelevitz, K., Sadeghi, Z., Wright, T., Thompson, J., Achim, A.M., Bull, D.,
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IEEE DOI 2104
Strain, Satellites, Convolution, Machine learning, Training data, Terrain factors, Velocity measurement, machine learning BibRef

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Long-Term Subsidence Monitoring of the Alluvial Plain of the Scheldt River in Antwerp (Belgium) Using Radar Interferometry,
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Shi, M.Y.[Meng-Yao], Yang, H.L.[Hong-Lei], Wang, B.C.[Bao-Cun], Peng, J.H.[Jun-Huan], Gao, Z.Z.[Zhou-Zheng], Zhang, B.[Bin],
Improving Boundary Constraint of Probability Integral Method in SBAS-InSAR for Deformation Monitoring in Mining Areas,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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He, Y.F.[Yu-Fang], Xu, G.C.[Guo-Chang], Kaufmann, H.[Hermann], Wang, J.T.[Jing-Tao], Ma, H.[Hua], Liu, T.[Tong],
Integration of InSAR and LiDAR Technologies for a Detailed Urban Subsidence and Hazard Assessment in Shenzhen, China,
RS(13), No. 12, 2021, pp. xx-yy.
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Chen, J.L.[Jian-Long], Zhou, Y.[Yu], Chen, G.[Gan], Hao, M.[Ming],
Decades of Ground Deformation in the Weihe Graben, Shaanxi Province, China, in Response to Various Land Processes, Observed by Radar Interferometry and Levelling,
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DOI Link 2106
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Mohammadivojdan, B.[Bahareh], Brockmeyer, M.[Marco], Jahn, C.H.[Cord-Hinrich], Neumann, I.[Ingo], Alkhatib, H.[Hamza],
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Bovenga, F.[Fabio], Pasquariello, G.[Guido], Refice, A.[Alberto],
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RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
To predict failures. BibRef

Robson, G.[Greg], Treitz, P.[Paul], Lamoureux, S.F.[Scott F.], Murnaghan, K.[Kevin], Brisco, B.[Brian],
Seasonal Surface Subsidence and Frost Heave Detected by C-Band DInSAR in a High Arctic Environment, Cape Bounty, Melville Island, Nunavut, Canada,
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DOI Link 2107
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Bayramov, E.[Emil], Buchroithner, M.[Manfred], Kada, M.[Martin], Zhuniskenov, Y.[Yermukhan],
Quantitative Assessment of Vertical and Horizontal Deformations Derived by 3D and 2D Decompositions of InSAR Line-of-Sight Measurements to Supplement Industry Surveillance Programs in the Tengiz Oilfield (Kazakhstan),
RS(13), No. 13, 2021, pp. xx-yy.
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Wang, Z.Z.[Zhan-Ze], Liu, F.F.[Fei-Feng], Zeng, T.[Tao], Wang, C.H.[Cheng-Hao],
Interferometric Phase Error Analysis and Compensation in GNSS-InSAR: A Case Study of Structural Monitoring,
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Parizzi, A.[Alessandro], Brcic, R.[Ramon], de Zan, F.[Francesco],
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IEEE DOI 2109
Strain, Synthetic aperture radar, Measurement uncertainty, Delays, Deformable models, Atmospheric measurements, performance BibRef

Agarwal, V.[Vivek], Kumar, A.[Amit], Gee, D.[David], Grebby, S.[Stephen], Gomes, R.L.[Rachel L.], Marsh, S.[Stuart],
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RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Kakoullis, D.[Dimitris], Fotiou, K.[Kyriaki], Melillos, G.[George], Danezis, C.[Chris],
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Struhár, J.[Juraj], Rapant, P.[Petr],
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Festa, D.[Davide], Bonano, M.[Manuela], Casagli, N.[Nicola], Confuorto, P.[Pierluigi], de Luca, C.[Claudio], del Soldato, M.[Matteo], Lanari, R.[Riccardo], Lu, P.[Ping], Manunta, M.[Michele], Manzo, M.[Mariarosaria], Onorato, G.[Giovanni], Raspini, F.[Federico], Zinno, I.[Ivana], Casu, F.[Francesco],
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Elsevier DOI 2206
Mapping, National scale, Semi-automatic classification, Ground displacement, Deformation map DInSAR BibRef

Zhang, T.[Tian], Zhang, W.[Wanchang], Cao, D.[Dan], Yi, Y.N.[Ya-Ning], Wu, X.[Xuan],
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Ji, P.[Panfeng], Lv, X.L.[Xiao-Lei], Wang, R.[Rui],
Deriving 3-D Surface Deformation Time Series with Strain Model and Kalman Filter from GNSS and InSAR Data,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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Li, G.R.[Guang-Rong], Zhao, C.Y.[Chao-Ying], Wang, B.H.[Bao-Hang], Liu, X.J.[Xiao-Jie], Chen, H.Y.[Heng-Yi],
Land Subsidence Monitoring and Dynamic Prediction of Reclaimed Islands with Multi-Temporal InSAR Techniques in Xiamen and Zhangzhou Cities, China,
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DOI Link 2206
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Li, F.K.[Feng-Kai], Liu, G.L.[Guo-Lin], Gong, H.[Huili], Chen, B.B.[Bei-Bei], Zhou, C.F.[Chao-Fan],
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DOI Link 2206
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Yan, H.N.[Hui-Neng], Dai, W.J.[Wu-Jiao], Liu, H.Z.[Hong-Zhi], Gao, H.[Han], Neely, W.R.[Wesley R.], Xu, W.B.[Wen-Bin],
Fusion of Spatially Heterogeneous GNSS and InSAR Deformation Data Using a Multiresolution Segmentation Algorithm and Its Application in the Inversion of Slip Distribution,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Qu, F.F.[Fei-Fei], Zhang, Q.[Qin], Niu, Y.[Yufen], Lu, Z.[Zhong], Wang, S.[Shuai], Zhao, C.Y.[Chao-Ying], Zhu, W.[Wu], Qu, W.[Wei], Yang, C.S.[Cheng-Sheng],
Mapping the Recent Vertical Crustal Deformation of the Weihe Basin (China) Using Sentinel-1 and ALOS-2 ScanSAR Imagery,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
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Zhang, P.[Peng], Guo, Z.H.[Zi-Hao], Guo, S.[Shuangfeng], Xia, J.[Jin],
Land Subsidence Monitoring Method in Regions of Variable Radar Reflection Characteristics by Integrating PS-InSAR and SBAS-InSAR Techniques,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Mirmazloumi, S.M.[S. Mohammad], Gambin, A.F.[Angel Fernandez], Palamà, R.[Riccardo], Crosetto, M.[Michele], Wassie, Y.[Yismaw], Navarro, J.A.[José A.], Barra, A.[Anna], Monserrat, O.[Oriol],
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RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Hussain, M.A.[Muhammad Afaq], Chen, Z.L.[Zhan-Long], Zheng, Y.[Ying], Shoaib, M.[Muhammad], Ma, J.W.[Jun-Wei], Ahmad, I.[Ijaz], Asghar, A.[Aamir], Khan, J.[Junaid],
PS-InSAR Based Monitoring of Land Subsidence by Groundwater Extraction for Lahore Metropolitan City, Pakistan,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Rafiei, F.[Fatemeh], Gharechelou, S.[Saeid], Golian, S.[Saeed], Johnson, B.A.[Brian Alan],
Aquifer and Land Subsidence Interaction Assessment Using Sentinel-1 Data and DInSAR Technique,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link 2209
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Struhár, J.[Juraj], Rapant, P.[Petr], Kacmarík, M.[Michal], Hlavácová, I.[Ivana], Lazecký, M.[Milan],
Monitoring Non-Linear Ground Motion above Underground Gas Storage Using GNSS and PSInSAR Based on Sentinel-1 Data,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Han, J.F.[Jian-Feng], Yang, H.L.[Hong-Lei], Liu, Y.[Youfeng], Lu, Z.W.[Zhao-Wei], Zeng, K.[Kai], Jiao, R.[Runcheng],
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RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Guo, S.P.[Shi-Peng], Zuo, X.Q.[Xiao-Qing], Wu, W.H.[Wen-Hao], Li, F.[Fang], Li, Y.F.[Yong-Fa], Yang, X.[Xu], Zhu, S.[Shasha], Zhao, Y.X.[Yan-Xi],
Ground Deformation in Yuxi Basin Based on Atmosphere-Corrected Time-Series InSAR Integrated with the Latest Meteorological Reanalysis Data,
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Fabris, M.[Massimo], Battaglia, M.[Mattia], Chen, X.[Xue], Menin, A.[Andrea], Monego, M.[Michele], Floris, M.[Mario],
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Liu, Y.Y.[Yuan-Yuan], Yan, X.[Xia], Xia, Y.P.[Yuan-Ping], Liu, B.[Bo], Lu, Z.[Zhong], Yu, M.[Mei],
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Barone, A.[Andrea], Pepe, A.[Antonio], Tizzani, P.[Pietro], Fedi, M.[Maurizio], Castaldo, R.[Raffaele],
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Su, Y.H.[Yu-Han], Yang, H.L.[Hong-Lei], Peng, J.H.[Jun-Huan], Liu, Y.F.[You-Feng], Zhao, B.B.[Bin-Bin], Shi, M.Y.[Meng-Yao],
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Lee, H.[Hoseung], Moon, J.Y.[Jih-Yun], Lee, H.Y.[Hoon-Yol],
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Accessing the Time-Series Two-Dimensional Displacements around a Reservoir Using Multi-Orbit SAR Datasets: A Case Study of Xiluodu Hydropower Station,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Ao, M.[Meng], Wang, X.T.[Xiao-Tian], Sun, Y.[Ying], Wang, F.[Fang], Zhang, H.[Huanan], Wei, L.H.[Lian-Huan], Liu, S.J.[Shan-Jun], Yang, D.[Dong],
Large-Scale Land Deformation Monitoring over Southern California with Multi-Path SAR Data,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Khalili, M.A.[Mohammad Amin], Voosoghi, B.[Behzad], Guerriero, L.[Luigi], Haji-Aghajany, S.[Saeid], Calcaterra, D.[Domenico], di Martire, D.[Diego],
Mapping of Mean Deformation Rates Based on APS-Corrected InSAR Data Using Unsupervised Clustering Algorithms,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Hu, B.[Bo], Qiao, Z.Y.[Zhong-Ya],
Spatiotemporal Characteristics of the Mud Receiving Area Were Retrieved by InSAR and Interpolation,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
Dredging operations. BibRef

Hamdi, L.[Loubna], Defaflia, N.[Nabil], Merghadi, A.[Abdelaziz], Fehdi, C.[Chamssedine], Yunus, A.P.[Ali P.], Dou, J.[Jie], Pham, Q.B.[Quoc Bao], Abdo, H.G.[Hazem Ghassan], Almohamad, H.[Hussein], Al-Mutiry, M.[Motrih],
Ground Surface Deformation Analysis Integrating InSAR and GPS Data in the Karstic Terrain of Cheria Basin, Algeria,
RS(15), No. 6, 2023, pp. 1486.
DOI Link 2304
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Areggi, G.[Giulia], Pezzo, G.[Giuseppe], Boncori, J.P.M.[John Peter Merryman], Anderlini, L.[Letizia], Rossi, G.[Giuliana], Serpelloni, E.[Enrico], Zuliani, D.[David], Bonini, L.[Lorenzo],
Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data,
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Zhu, Y.[Yan], Xu, B.[Bing], Li, Z.W.[Zhi-Wei], Li, J.[Jie], Hou, J.X.[Jing-Xin], Mao, W.X.[Wen-Xiang],
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Ground Displacements in NY Using Persistent Scatterer Interferometric Synthetic Aperture Radar and Comparison of X- and C-Band Data,
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InSARTrac Field Tests: Combining Computer Vision and Terrestrial InSAR for 3D Displacement Monitoring,
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Wang, B.H.[Bao-Hang], Zhao, C.Y.[Chao-Ying], Zhang, Q.[Qin], Liu, X.J.[Xiao-Jie], Lu, Z.[Zhong], Liu, C.J.[Chuan-Jin], Zhang, J.X.[Jian-Xia],
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Guo, H.L.[Heng-Liang], Yuan, Y.H.[Yong-Hao], Wang, J.Y.[Jin-Yang], Cui, J.[Jian], Zhang, D.J.[Du-Juan], Zhang, R.R.[Rong-Rong], Cao, Q.Z.R.[Qiao-Zhuo-Ran], Li, J.[Jin], Dai, W.H.[Wen-Hao], Bao, H.M.[Hao-Ming], Qiao, B.[Baojin], Zhao, S.[Shan],
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DOI Link 2306
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Liu, C.J.[Chuan-Jin], Ji, L.Y.[Ling-Yun], Zhu, L.Y.[Liang-Yu], Xu, C.J.[Cai-Jun], Zhang, W.T.[Wen-Ting], Qiu, J.T.[Jiang-Tao], Xiong, G.H.[Guo-Hua],
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Amoruso, A.[Antonella], Crescentini, L.[Luca],
DInSAR Data Reveal an Intriguing Contemporaneous Onset of Deep Deflation below Vesuvio and the Ongoing Campi Flegrei Uplift,
RS(15), No. 12, 2023, pp. xx-yy.
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Scheer, J.[Johanna], Caduff, R.[Rafael], How, P.[Penelope], Marcer, M.[Marco], Strozzi, T.[Tazio], Bartsch, A.[Annett], Ingeman-Nielsen, T.[Thomas],
Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland,
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DOI Link 2307
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Xiong, S.T.[Si-Ting], Deng, Z.C.[Zhi-Chao], Zhang, B.[Bochen], Wang, C.S.[Chi-Sheng], Qin, X.Q.[Xiao-Qiong], Li, Q.Q.[Qing-Quan],
Deformation Evaluation of the South-to-North Water Diversion Project (SNWDP) Central Route over Handan in Hebei, China, Based on Sentinel-1A, Radarsat-2 and, TerraSAR-X Datasets,
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Hu, Q.F.[Qing-Feng], Kou, Y.C.[Ying-Chao], Liu, J.P.[Jin-Ping], Liu, W.K.[Wen-Kai], Yang, J.Y.[Jiu-Yuan], Li, S.M.[Shi-Ming], He, P.P.[Pei-Pei], Liu, X.L.[Xian-Lin], Ma, K.[Kaifeng], Li, Y.F.[Yi-Fan], Wang, P.[Peng], Lu, W.Q.[Wei-Qiang], Hai, H.X.[Hong-Xin],
TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China South-North Water-Diversion Project,
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Hu, Q.F.[Qing-Feng], Kou, Y.C.[Ying-Chao], Liu, J.P.[Jin-Ping], Liu, W.K.[Wen-Kai], Yang, J.Y.[Jiu-Yuan], Li, S.M.[Shi-Ming], He, P.P.[Pei-Pei], Liu, X.L.[Xian-Lin], Ma, K.[Kaifeng], Li, Y.F.[Yi-Fan], Wang, P.[Peng], Lu, W.Q.[Wei-Qiang], Hai, H.X.[Hong-Xin],
TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China South-North Water-Diversion Project,
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Alonso-Díaz, A.[Alex], Casado-Rabasco, J.[Josué], Solla, M.[Mercedes], Lagüela, S.[Susana],
Using InSAR and GPR Techniques to Detect Subsidence: Application to the Coastal Area of 'A Xunqueira' (NW Spain),
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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Han, J.F.[Jian-Feng], Guo, X.F.[Xue-Fei], Jiao, R.[Runcheng], Nan, Y.[Yun], Yang, H.L.[Hong-Lei], Ni, X.[Xuan], Zhao, D.[Danning], Wang, S.Y.[Sheng-Yu], Ma, X.X.[Xiao-Xue], Yan, C.[Chi], Ma, C.[Chi], Zhao, J.[Jia],
An Automatic Method for Delimiting Deformation Area in InSAR Based on HNSW-DBSCAN Clustering Algorithm,
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Wang, Z.H.[Zhi-Hong], Dai, H.[Huayang], Yan, Y.[Yueguan], Ren, J.T.[Jin-Tong], Zhang, Y.J.[Yan-Jun], Liu, J.[Jibo],
An InSAR Deformation Phase Retrieval Method Combined with Reference Phase in Mining Areas,
RS(15), No. 18, 2023, pp. 4573.
DOI Link 2310
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Wang, R.[Rong], Feng, Y.J.[Yong-Jiu], Tong, X.H.[Xiao-Hua], Li, P.S.[Peng-Shuo], Wang, J.F.[Jia-Feng], Tang, P.[Panli], Tang, X.Y.[Xiao-Yan], Xi, M.R.[Meng-Rong], Zhou, Y.[Yi],
Large-Scale Surface Deformation Monitoring Using SBAS-InSAR and Intelligent Prediction in Typical Cities of Yangtze River Delta,
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Sha, P.C.[Peng-Cheng], He, X.[Xiufeng], Wang, X.H.[Xiao-Hang], Gao, Z.[Zhuang],
Large-Scale Crustal Deformation of the Tianshan Mountains, Xinjiang, from Sentinel-1 InSAR Observations (2015-2020),
RS(15), No. 20, 2023, pp. 4901.
DOI Link 2310
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Zhang, Z.C.[Zhi-Chao], Feng, W.[Wanpeng], Xu, X.H.[Xiao-Hua], Samsonov, S.[Sergey],
Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation Retrieval,
RS(15), No. 22, 2023, pp. 5399.
DOI Link 2311
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Liang, Y.W.[Yi-Wen], Zhang, Y.[Yi], Li, Y.Y.X.[Yuan-Yan-Xi], Xiong, J.Q.[Jia-Qi],
Automatic Identification for the Boundaries of InSAR Anomalous Deformation Areas Based on Semantic Segmentation Model,
RS(15), No. 21, 2023, pp. 5262.
DOI Link 2311
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Zhang, G.F.[Gui-Fang], Qu, C.Y.[Chun-Yan], Shan, X.J.[Xin-Jian], Song, X.G.[Xiao-Gang], Zhang, Y.F.[Ying-Feng], Li, Y.C.[Yan-Chuan],
Present-Day Crustal Deformation of the Northwestern Tibetan Plateau Based on InSAR Measurements,
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Thaiki, M.[Mohammed], Bounoua, L.[Lahouari], Dekkaki, H.C.[Hinde Cherkaoui],
Using Satellite Data to Characterize Land Surface Processes in Morocco,
RS(15), No. 22, 2023, pp. 5389.
DOI Link 2311
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Li, M.H.[Meng-Hua], Wu, H.F.[Han-Fei], Yang, M.[Mengshi], Huang, C.[Cheng], Tang, B.H.[Bo-Hui],
Trend Classification of InSAR Displacement Time Series Using SAE-CNN,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
InSAR, displacement time-series classification machine learning, CNN BibRef

Wang, S.[Simiao], Sun, H.M.[Hui-Min], Wei, L.[Lianhuan], Pi, P.C.[Peng-Cheng], Zeng, M.[Min], Pan, Y.J.[Yu-Jie], Xue, Z.X.[Zi-Xuan], Jiang, X.[Xuehan],
Integrated Assessment of Coastal Subsidence in Nansha District, Guangzhou City, China: Insights from SBAS-InSAR Monitoring and Risk Evaluation,
RS(16), No. 2, 2024, pp. 248.
DOI Link 2402
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Zheng, Y.[Yueze], Peng, J.H.[Jun-Huan], Li, C.[Chuyu], Chen, X.[Xue], Peng, Y.[Yun], Ma, X.[Xu], Huang, M.[Meng],
Long-Term SAR Data Analysis for Subsidence Monitoring and Correlation Study at Beijing Capital Airport,
RS(16), No. 3, 2024, pp. 445.
DOI Link 2402
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Bayramov, E.[Emil], Tessari, G.[Giulia], Aliyeva, S.[Saida], Duisenbiev, A.[Askar], Kada, M.[Martin],
Optimization of Targeted Differential Interferometric Measurements for Wellpads Detected by Mask Region-Based Convolutional Neural Network in the Tengiz Oilfield of the Caspian Sea Coast,
RS(16), No. 3, 2024, pp. 579.
DOI Link 2402
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Wu, Z.N.[Zhen-Ning], Lv, X.L.[Xiao-Lei], Yun, Y.[Ye], Duan, W.[Wei],
A Parallel Sequential SBAS Processing Framework Based on Hadoop Distributed Computing,
RS(16), No. 3, 2024, pp. 466.
DOI Link 2402
Small Baseline Subset. BibRef

Wang, Y.[Yuyi], Chen, X.[Xi], Wang, Z.[Zhe], Gao, M.[Man], Wang, L.C.[Li-Chun],
Integrating SBAS-InSAR and Random Forest for Identifying and Controlling Land Subsidence and Uplift in a Multi-Layered Porous System of North China Plain,
RS(16), No. 5, 2024, pp. 830.
DOI Link 2403
BibRef

Alatza, S.[Stavroula], Loupasakis, C.[Constantinos], Apostolakis, A.[Alexis], Tzouvaras, M.[Marios], Themistocleous, K.[Kyriacos], Kontoes, C.[Charalampos], Danezis, C.[Chris], Hadjimitsis, D.G.[Diofantos G.],
Surface Displacements Monitoring in Cyprus via InSAR and Field Investigation: The Case Studies of Pyrgos-Parekklisia and Pedoulas Villages,
RS(16), No. 6, 2024, pp. 960.
DOI Link 2403
BibRef

Lv, J.M.[Ji-Ming], Zhu, D.[Daiyin], Geng, Z.[Zhe], Han, S.L.[Sheng-Liang], Wang, Y.[Yu], Ye, Z.[Zheng], Zhou, T.[Tao], Chen, H.[Hongren], Huang, J.W.[Jia-Wei],
Recognition for SAR deformation military target from a new MiniSAR dataset using multi-view joint transformer approach,
PandRS(210), 2024, pp. 180-197.
Elsevier DOI Code:
WWW Link. 2404
MiniSAR, Transformer network, Cross attention mechanism, Denoising with low-frequency prior information (LFPD) BibRef

Li, R.[Ruren], Gong, X.[Xuhui], Zhang, G.[Guo], Chen, Z.W.[Zhen-Wei],
Wide-Area Subsidence Monitoring and Analysis Using Time-Series InSAR Technology: A Case Study of the Turpan Basin,
RS(16), No. 9, 2024, pp. 1611.
DOI Link 2405
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Falabella, F.[Francesco], Pepe, A.[Antonio], Perrone, A.[Angela], Stabile, T.A.[Tony Alfredo],
A Variance-Covariance method to estimating the errors of 3-D ground displacement time-series using small baseline InSAR algorithms and multi-platform SAR data,
PandRS(211), 2024, pp. 208-227.
Elsevier DOI 2405
Ground deformations, Multi-temporal SAR interferometry, Multi-sensor data combination, Variance-covariance matrices, Landslide BibRef

Wang, J.[Jing], Fan, X.[Xiwei], Zhang, Z.J.[Zhi-Jie], Zhang, X.F.[Xue-Fei], Nie, W.Y.[Wen-Yu], Qi, Y.M.[Yuan-Meng], Zhang, N.[Nan],
Spatiotemporal Mechanism-Based Spacetimeformer Network for InSAR Deformation Prediction and Identification of Retrogressive Thaw Slumps in the Chumar River Basin,
RS(16), No. 11, 2024, pp. 1891.
DOI Link 2406
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He, Z.X.[Zi-Xin], Yang, Z.[Zimeng], Wu, X.Y.[Xiao-Yong], Zhang, T.T.[Ting-Ting], Song, M.[Mengning], Liu, M.[Ming],
Triggering of Land Subsidence in and Surrounding the Hangjiahu Plain Based on Interferometric Synthetic Aperture Radar Monitoring,
RS(16), No. 11, 2024, pp. 1864.
DOI Link 2406
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Righini, M.[Margherita], Bonì, R.[Roberta], Sapio, S.[Serena], Gatti, I.[Ignacio], Salvadore, M.[Marco], Taramelli, A.[Andrea],
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RS(16), No. 11, 2024, pp. 1981.
DOI Link 2406
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Tang, W.L.[Wei-Lin], Ng, A.H.M.[Alex Hay-Man], Wang, H.[Hua], Kuang, J.M.[Jian-Ming], Du, Z.[Zheyuan],
Surface Subsidence Characteristics and Causes Analysis in Ningbo Plain by Sentinel-1A TS-InSAR,
RS(16), No. 13, 2024, pp. 2438.
DOI Link 2407
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Lu, J.Y.[Jun-Yu], Wang, Y.D.[Yue-Dong], Zhu, Y.F.[Ya-Fei], Liu, J.T.[Jing-Tao], Xu, Y.[Yang], Yang, H.L.[Hong-Lei], Wang, Y.B.[Yue-Bin],
DACLnet: A Dual-Attention-Mechanism CNN-LSTM Network for the Accurate Prediction of Nonlinear InSAR Deformation,
RS(16), No. 13, 2024, pp. 2474.
DOI Link 2407
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Bruzewski, S.[Seth], Dowell, J.[Jayce], Taylor, G.B.[Greg B.], Lindsey, E.O.[Eric O.],
A Bifrost Accelerated Intermittent Small Baseline Subset Analysis Pipeline for InSAR Ground Deformation,
RS(16), No. 14, 2024, pp. 2554.
DOI Link 2408
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Chen, Y.Y.[Yuan-Yuan], Guo, L.[Lin], Xu, J.[Jia], Yang, Q.[Qiang], Wang, H.[Hao], Zhu, C.W.[Chen-Wei],
Monitoring and Cause Analysis of Land Subsidence along the Yangtze River Utilizing Time-Series InSAR,
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Helmy, I.[Islam], Campbell, L.[Lachie], Ahmadi, R.[Reza], Awrangjeb, M.[Mohammad], Paliwal, K.[Kuldip],
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Chen, D.Q.[Dian-Qiang], Wu, Q.[Qichen], Sun, Z.J.[Zhong-Jin], Shi, X.[Xuguo], Zhang, S.C.[Shao-Cheng], Zhang, Y.[Yi], Wu, Y.L.[Yun-Long],
Semi-Automatic Detection of Ground Displacement from Multi-Temporal Sentinel-1 Synthetic Aperture Radar Interferometry Analysis and Density-Based Spatial Clustering of Applications with Noise in Xining City, China,
RS(16), No. 16, 2024, pp. 3066.
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Zheng, L.[Lianjing], Wang, Q.[Qing], Cao, C.[Chen], Shan, B.[Bo], Jin, T.[Tie], Zhu, K.[Kuanxing], Li, Z.Z.[Zong-Zheng],
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DOI Link 2409
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Yu, Z.G.[Zhi-Gang], Zhang, G.H.[Guang-Hui], Huang, G.[Guoman], Cheng, C.Q.[Chun-Quan], Zhang, Z.[Zhuopu], Zhang, C.X.[Chen-Xi],
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RS(16), No. 18, 2024, pp. 3515.
DOI Link 2410
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Ouyang, L.[Liu], Zhao, Z.F.[Zhi-Fang], Zhou, D.[Dingyi], Cao, J.Y.[Jing-Yao], Qin, J.Y.[Jing-Yi], Cao, Y.F.[Yi-Fan], He, Y.[Yang],
Study on the Relationship between Groundwater and Land Subsidence in Bangladesh Combining GRACE and InSAR,
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Teixeira, A.C.[Ana Cláudia], Bakon, M.[Matus], Perissin, D.[Daniele], Sousa, J.J.[Joaquim J.],
InSAR Analysis of Partially Coherent Targets in a Subsidence Deformation: A Case Study of Maceió,
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Farías, C.A.[Celina Anael], Sánchez, M.L.[Michelle Lenardón], Bonì, R.[Roberta], Cigna, F.[Francesca],
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Navarro, J.A., Barra, A., Monserrat, O., Crosetto, M.,
Using Tailored Graphical Tools to Improve the Quality of Displacement Maps AT CTTC: The Vetools,
ISPRS21(B3-2021: 163-169).
DOI Link 2201
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Wassie, Y., Crosetto, M., Luzi, G., Monserrat, O., Barra, A., Palamá, R., Cuevas-González, M., Mirmazloumi, S.M., Espín-López, P., Crippa, B.,
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Qu, T., Su, Z., Yang, H., Shi, X., Shao, W.,
Large-scale Subsidence Geohazard Monitoring with Sentinel-1 SAR Interferometry In Central Lishui (China),
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Piter, A., Vassileva, M., Haghshenas Haghighi, M., Motagh, M.,
Exploring Cloud-based Platforms for Rapid INSAR Time Series Analysis,
ISPRS21(B3-2021: 171-176).
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Haghshenas Haghighi, M., Motagh, M.,
Land Subsidence Hazard In Iran Revealed By Country-scale Analysis Of Sentinel-1 INSAR,
ISPRS21(B3-2021: 155-161).
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Chang, T., Han, J., Li, Z., Wen, Y., Hao, T., Lu, P., Li, R.,
Active Layer Thickness Retrieval Over the Qinghai-Tibet Plateau from 2000 to 2020 Based on Insar-measured Subsidence and Multi-layer Soil Moisture,
ISPRS21(B3-2021: 437-442).
DOI Link 2201
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Song, R., Wu, J., Li, T., Hu, F.,
Absolute LoScalization of Corner Reflectors with Terrasar-x Spotlight Images,
ISPRS20(B3:339-343).
DOI Link 2012
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Crosetto, M., Luzi, G., Monserrat, O., Barra, A., Cuevas-González, M., Palamá, R., Krishnakumar, V., Wassie, Y., Mirmazloumi, S.M., Espín-López, P., Crippa, B.,
Deformation Monitoring Using SAR Interferometry and Active and Passive Reflectors,
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DOI Link 2012
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Crosetto, M., Solari, L., Balasis-Levinsen, J., Bateson, L., Casagli, N., Frei, M., Oyen, A., Moldestad, D.A., Mróz, M.,
Deformation Monitoring At European Scale: the Copernicus Ground Motion Service,
ISPRS21(B3-2021: 141-146).
DOI Link 2201
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Earlier: A1, A2, A3, A5, A6, A7, A8, Only:
Ground Deformation Monitoring At Continental Scale: The European Ground Motion Service,
ISPRS20(B3:293-298).
DOI Link 2012
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Qu, T., Zhang, H., Niu, F., Shi, X., Li, Z.,
Characterization of the Frost Heave Deformations In High Latitude And Deep Seasonally Frozen Soil of Inner Mongolia with Sentinel-1 Insar Observations,
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DOI Link 2012
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Gharehdaghi, M., Fakher, A., Cheshomi, A.,
The Combined Use of Long-term Multi-sensor Insar Analysis and Finite Element Simulation to Predict Land Subsidence,
SMPR19(421-427).
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Mirzaii, Z., Hasanlou, M., Samieie-Esfahany, S., Rojhani, M., Ajourlou, P.,
INSAR Time Series Investigation of Land Surface Deformation in Azar Oil Field,
SMPR19(733-736).
DOI Link 1912
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Nonaka, T., Asaka, T., Iwashita, K., Ogushi, F.,
Analysis of The Trend of The Deformation Around Kanto Region Estimated By Time Series of Palsar-2 Data,
Gi4DM19(287-291).
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Infante, D., di Martire, D., Confuorto, P., Tessitore, S., Ramondini, M., Calcaterra, D.,
Differential SAR Interferometry Technique for Control of Linear Infrastructures Affected By Ground Instability Phenomena,
Gi4DM18(251-258).
DOI Link 1805
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Tschirschwitz, F., Mechelke, K., Jansch, H., Kersten, T.P.,
Monitoring And Deformation Analysis Of Groynes Using TLS at the River Elbe,
ISPRS16(B5: 917-924).
DOI Link 1610
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Avsar, E.Ö., Celik, M.F., Binbir, E., Arslan, A.E., Çokkeçeci, D., Seker, D.Z., Pala, S.,
Deformation Monitoring Of Retrofitted Short Concrete Columns With Laser Sensor,
ISPRS16(B5: 765-769).
DOI Link 1610
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Jepping, C., Luhmann, T.,
Object Deformations From Image Silhouettes Using A Kinematic Finite Element Beam Model,
ISPRS16(B5: 41-47).
DOI Link 1610
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Artese, G., Fiaschi, S., di Martire, D., Tessitore, S., Fabris, M., Achilli, V., Ahmed, A., Borgstrom, S., Calcaterra, D., Ramondini, M., Artese, S., Floris, M., Menin, A., Monego, M., Siniscalchi, V.,
Monitoring Of Land Subsidence In Ravenna Municipality Using Integrated SAR - Gps Techniques: Description And First Results,
ISPRS16(B7: 23-28).
DOI Link 1610
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Hou, A.Y., Qiao, X., Li, D.,
Ground Deformation Monitoring In Qingdao Coastal Areas By Time-series Terrasar-x Images,
ISPRS16(B7: 29-33).
DOI Link 1610
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Wu, H.A., Zhang, Y.H., Luo, G.F., Kang, Y.K., Zhu, Y.M.,
Monitoring Ground Subsidence In Areas Covered By Dense Vegetation Using Terrasar-x Images: A Case Study Of Hangzhou,
ISPRS16(B7: 55-59).
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Pour, A.B.[Amin Beiranvand], Hashim, M.[Mazlan],
Identification of High Potential Bays for HABs Occurrence in Peninsular Malysia Using Palsar Remote Sensing Data,
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Li, R.H., Zhao, Z., Duan, M.Y., Wang, Z.Y., Wang, P.,
An Analysis of Surface Subsidence in Chiba Using PSInSAR Technique,
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Czarnogorska, M., Samsonov, S., White, D.,
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Wang, X., Zhang, H., Fu, B., Guan, W., Shi, A.,
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Shamshiri, R., Motagh, M., Baes, M., Sharifi, M.A.,
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Aanstoos, J.V.[James V.], Hasan, K.[Khaled], O'Hara, C.G.[Charles G.], Prasad, S.[Saurabh], Dabbiru, L.[Lalitha], Mahrooghy, M.[Majid], Gokaraju, B.[Balakrishna], Nobrega, R.[Rodrigo],
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Zhao, C.Y.[Chao-Ying], Ding, X.L.[Xiao-Li], Zhang, Q.[Qin], Lu, Z.[Zhong], Li, Z.W.[Zhi-Wei],
Monitoring of Recent Land Subsidence and Ground Fissures in Xi'an With SAR Interferometry,
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
SAR, InSAR, Surface Deformation with Persistent, Permanent Scatter .