2016年发表SCI论文
发布时间:2017-10-19 作者: 来源: 浏览次数:
[1]Yang, Zefa; Li, Zhiwei; Zhu, Jianjun; Hu, Jun; Wang, Yunjia; Chen, Guoliang. InSAR-Based Model Parameter Estimation of Probability Integral Method and Its Application for Predicting Mining-Induced Horizontal and Vertical Displacements, IEEE Transactions on Geoscience and Remote Sensing, 54(8):4818-4832 doi: 10.1109/TGRS.2016.2551779, 2016
[2]Xie, Q.; Ballester-Berman, J.D.; Lopez-Sanchez, J.M.; Zhu, J.; Wang, C.Quantitative Analysis of Polarimetric Model-Based Decomposition Methods. Remote Sens. 2016, 8(12), 977.
[3]Zhao, Rong, Li, Zhiwei,Feng, Guangcai, Wang, Qijie, Hu, Jun.Monitoring surface deformation over permafrost with an improved SBAS-InSAR algorithm: with emphasis on climatic factors modeling. Remote Sensing of Environment, 184: 276-287, doi:10.1016/j.rse.2016.07.019, 2016
[4]Xu,Wenbin., Burgmann, Roland., Li,Zhiwei.An improved geodetic source model for the 1999 Mw 6.3 Chamoli earthquake, India,Geophysical Journal International,205(1): 236-242,doi: 10.1093/gji/ggw016, 2016
[5]Feng, Guangcai, Li, Zhiwei, Xu, Bing, Shan, Xinjian, Zhang, Lei, Zhu, Jianjun. Coseismic Deformation of the 2015 Mw 6.4 Pishan, China, Earthquake, Estimated from Sentinel1 and ALOS2 Data, Seismological Research Letters, 87(4): 800-806, doi: 10.1785/0220150264, 2016
[6]Wang, Changcheng,Wang, Lei,Fu, Haiqiang,Xie, Qinghua,Zhu, Jianjun. The Impact of Forest Density on Forest Height Inversion Modeling from Polarimetric InSAR Data. Remote Sensing, 8: 291, 2016
[7]Xu,Bing,Feng,Guangcai,Li,Zhiwei,Wang,Qijie,Wang,Changcheng, XieRongan. Monitoring theCoastalSubsidence Associated with Land Reclamation by PT-basedSBAS-InSAR: a Case Study of Shenzhen, China.Remote Sensing, 8, 652, doi:10.3390//rs8080652, 2016
[8]Hu, J., Ding, X.L., Li, Z.W., Zhang, L., Zhu, J.J., Sun, Q., Gao, G.J. Vertical and horizontal displacements of Los Angeles from InSAR and GPS time series analysis: Resolving tectonic and anthropogenic motions. Journal of Geodynamics,99: 27-38,doi: 10.1016/j.jog.2016.05.003, 2016
[9]Sun,Q.,Hu,J.,Zhang,L.,Ding,X.L.Towardsslow-movinglandslidemonitoringbyintegratingmulti-sensorInSARtimeseriesdatasets:TheZhouqucasestudy,China.RemoteSensing,8,908, 2016
[10]Xu, Bing,Li, Zhiwei,Feng, Guangcai,Zhang,Lei,Wang, Qijie,Hu, Jun,Chen, Xianguo. Continent-Wide 2-D Co-Seismic Deformation of the 2015 Mw 8.3 Illapel, Chile Earthquake Derived from Sentinel-1A Data: Correction of Azimuth Co-Registration Error,Remote Sensing.8, 376, doi:10.3390/rs8050376, 2016
[11]Hu, Jun,Wang, Qijie,Li, Zhiwei,Zhao, Rong,Sun, Qian.Investigatingthe Ground Deformation and Source Model of the Yangbajing Geothermal Field inTibet, China with the WLS InSAR Technique,Remote Sensing,8(3), 191,doi:10.3390/rs8030191,2016
[12]Wang,Changcheng,Mao,Xiaokang, Wang,Qijie.Landslide Displacement Monitoring by a FullyPolarimetric SAR Offset Tracking Method.Remote Sensing,8, 624; doi:10.3390/rs8080624, 2016
[13]Fu, Haiqiang; Wang, Changcheng; Zhu, Jianjun; Xie, Qinghua; Zhang, Bing. Estimation of Pine Forest Height and Underlying DEM Using Multi-Baseline P-Band PolInSAR Data.Remote Sensing, 8 (10):10.3390/rs8100820, 2016
[14]Wang,Changcheng, Wang,Lei, Fu,Haiqiang, Xie,Qinghua, Zhu,Jianjun. The Impact of Forest Density on Forest Height Inversion Modeling from Polarimetric InSAR Data. Remote Sensing, 8(4), 291; doi:10.3390/rs8040291, 2016
[15]Ding, Chao, Feng, Guangcai, Li, Zhiwei, Shan, Xinjian, Du, Yanan, Wang, Huiqiang. Spatio-Temporal Error Sources Analysis and Accuracy Improvement in Landsat 8 Image Ground Displacement Measurements. Remote Sensing, 8, 937, 2016.
[16]蒋弥,丁晓利,何秀凤,李志伟,史国强 .基于快速分布式目标探测的时序雷达干涉测量方法:以Lost Hills油藏区为例.地球物理学报,59(10):3592-3603, doi: 10.6038/cjg20161007, 2016