[1]Li, Zhiwei, Zhao, Rong, Hu, Jun, Wen, Lianxing, Feng, Guangcai, Zhang, Zeyu, Wang, Qijie.InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils. Scientific Reports, 5:15542,doi: 10.1038/srep15542, 2015.

[2]Feng, Guangcai, Li, Zhiwei, Shan, Xinjian, Xu, Bing, Du, Yanan.Source parameters of the 2014 Mw 6.1 South Napa earthquake estimated from the Sentinel 1A, COSMO-SkyMed and GPS data.Tectonophysics,665: 139-146,doi: 10.1016/j.tecto.2015.05.018,2015.

[3]Feng, Guangcai, Li, Zhiwei, Shan, Xinjian, Zhang, Lei, Zhang, Guohong, Zhu, Jianjun.Geodetic Model of the April 25, 2015 Mw 7.8 Gorkha Nepal Earthquake and Mw 7.3 Aftershock Estimated from InSAR and GPS Data. Geophysical Journal International, 203(2): 896-900, doi:10.1093/gji/ggv335, 2015

[4]杜亚男，冯光财,李志伟，朱建军，彭星. TerraSAR-X/TanDEM-X获取高精度数字高程模型技术研究.地球物理学报, 58(9):3089-3102, DOI: 10.6038/cjg20150907, 2015.

Du, Yanan, Feng, Guangcai, Li, Zhiwei, Zhu, Jianjun, Peng, Xing. Generation of high precision DEM from TerraSAR-X/Tandem-X.Chinese JournalofGeophysics(in Chinese),58(9):3089-3102, DOI: 10.6038/cjg20150907, 2015

[5]冯光财,许兵,单新建，李志伟，张国宏.基于Landsat8光学影像的巴基斯坦Awaran Mw7.7地震形变监测及参数反演研究.地球物理学报, 58(5): 1634-1644, doi: 10.6038/cjg20150515，2015.

FENG, Guang-Cai, XU, Bing, SHAN, Xin-Jian, Li, Zhi-wei, Zhang, Guo-hong. Coseismic deformation and source parameters of the 24 September 2013 Awaran, Pakistan Mw7.7 Earthquake derived from optical Landsat 8 satellite images. Chinese Journal of Geophysics (in Chinese), 58(5): 1634-1644, doi: 10.6038/cjg20150515, 2015.

[6]占文俊;李志伟;韦建超;朱建军;汪长城.一种InSAR大气相位建模与估计方法，地球物理学报，58(7): 2320-2329, doi: 10.6038/cjg20150710, 2015

Zhan, Wenjun, Li, Zhiwei, Wei, Jianchao, Zhu, Jianjun, Wang, Changcheng. A strategy for modeling and estimating atmospheric phase of SAR. Chinese Journal of Geophysics (in Chinese), 58(7): 2320-2329, doi: 10.6038/cjg20150710, 2015

[7]Sun, Qian,Zhang, Lei, Ding, Xiaoli, Hu, Jun, Liang, Hongyu. Investigation of slow-moving landslides from ALOS/PALSAR images with TCPInSAR: A case study of Oso, USA. Remote Sensing, 7: 72-88, doi: 10.3390/rs70100072, 2015

[8]Ao,Minsi,Wang,Changcheng,Xie,Rongan,Zhang,Xingqing,Hu,Jun,Du,Yanan,Li,Zhiwei,Zhu,Jianjun,Dai,Wujiao,Kuang,Cuilin.Monitoring the land subsidence with persistent scatterer interferometry in Nansha District, Guangdong, China.Natural Hazards,75(3):2947-2964,DOI 10.1007/s11069-014-1471-2,2015

[9]Sun, Q., Zhang, L., Ding, X.L., Hu, J., Li, Z.W., Zhu, J.J. Slope Deformation Prior to Zhouqu, China Landslide from InSAR Time Series Analysis.Remote Sensing of Environment, 156:45-57,doi: 10.1016/j.rse.2014.09.029,2015

[10]Sun, Q., Zhang, L., Hu, J., Ding, X.L., Li, Z.W., Zhu, J.J. Characterizing Sudden Geo-hazards in Mountainous Areas by DInSAR with an Enhancement of Topographic Error Correction.Natural Hazards, 75(3):2343-2356,doi: 10.1007/s11069-014-1431-x,2015.

[11]Li,Zhiwei,Yang,Zefa.,Zhu,Jianjun, Hu,Jun,Wang, Yunjia,Li,Peixian,Chen,Guoliang.Retrieving Three-dimensional Displacement Fields of Mining Areasfrom a Single InSAR PairJournal of Geodesy,89(1):17-32,doi:10.1007/s00190-014-0757-1,2015

[12]Zhou, Jia-xiang, Li, Zhi-wei, Fan, Chong. Improved fast mean shift algorithm for remote sensing image segmentation. IET Image Processing, 9(5): 389-394,DOI:10.1049/iet-ipr.2014.0393,2015

[13]Fu,HaiQiang, WANG,ChangCheng, ZHU,JianJun, XIE,QingHua, ZHAO,Rong. Inversion of vegetation height from PolInSAR using complex least squares adjustment method. SCIENCE CHINA Earth Sciences,58(6): 1018-1031, 2015