| Deep learning in environmental remote sensing: Achievements and challenges Q Yuan, H Shen, T Li, Z Li, S Li, Y Jiang, H Xu, W Tan, Q Yang, J Wang, ... Remote sensing of Environment 241, 111716, 2020 | 1126 | 2020 |
| Microplastic pollution in the rivers of the Tibet Plateau C Jiang, L Yin, Z Li, X Wen, X Luo, S Hu, H Yang, Y Long, B Deng, ... Environmental Pollution 249, 91-98, 2019 | 486 | 2019 |
| Resolving three-dimensional surface displacements from InSAR measurements: A review J Hu, ZW Li, XL Ding, JJ Zhu, L Zhang, Q Sun Earth-Science Reviews 133, 1-17, 2014 | 409 | 2014 |
| Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors Z Li, H Shen, Q Cheng, Y Liu, S You, Z He ISPRS Journal of Photogrammetry and Remote Sensing 150, 197-212, 2019 | 306 | 2019 |
| Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery Z Li, H Shen, H Li, G Xia, P Gamba, L Zhang Remote sensing of environment 191, 342-358, 2017 | 274 | 2017 |
| Atmospheric effects on InSAR measurements and their mitigation X Ding, Z Li, J Zhu, G Feng, J Long Sensors 8 (9), 5426-5448, 2008 | 269 | 2008 |
| Research progress and methods of InSAR for deformation monitoring ZHU Jianjun, LI Zhiwei, HU Jun Acta Geodaetica et Cartographica Sinica 46 (10), 1717, 2017 | 226 | 2017 |
| Slope deformation prior to Zhouqu, China landslide from InSAR time series analysis Q Sun, L Zhang, XL Ding, J Hu, ZW Li, JJ Zhu Remote Sensing of Environment 156, 45-57, 2015 | 204 | 2015 |
| Evaluating sub-pixel offset techniques as an alternative to D-InSAR for monitoring episodic landslide movements in vegetated terrain A Singleton, Z Li, T Hoey, JP Muller Remote Sensing of Environment 147, 133-144, 2014 | 190 | 2014 |
| Glacier mass balance in the Qinghai–Tibet Plateau and its surroundings from the mid-1970s to 2000 based on Hexagon KH-9 and SRTM DEMs Y Zhou, Z Li, J Li, R Zhao, X Ding Remote sensing of Environment 210, 96-112, 2018 | 183 | 2018 |
| Ground subsidence monitoring in Hong Kong with satellite SAR interferometry XL Ding, GX Liu, ZW Li, ZL Li, YQ Chen Photogrammetric Engineering & Remote Sensing 70 (10), 1151-1156, 2004 | 179 | 2004 |
| Monitoring surface deformation over permafrost with an improved SBAS-InSAR algorithm: With emphasis on climatic factors modeling R Zhao, Z Li, G Feng, Q Wang, J Hu Remote Sensing of Environment 184, 276-287, 2016 | 168 | 2016 |
| Coseismic fault slip of the 2008 Mw 7.9 Wenchuan earthquake estimated from InSAR and GPS measurements GC Feng, EA Hetland, XL Ding, ZW Li, L Zhang Geophysical research letters 37 (1), 2010 | 165 | 2010 |
| Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning Q Zhang, Q Yuan, J Li, Z Li, H Shen, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 162, 148-160, 2020 | 147 | 2020 |
| 3D coseismic displacement of 2010 Darfield, New Zealand earthquake estimated from multi-aperture InSAR and D-InSAR measurements J Hu, ZW Li, XL Ding, JJ Zhu, L Zhang, Q Sun Journal of Geodesy 86, 1029-1041, 2012 | 142 | 2012 |
| Improved filtering parameter determination for the Goldstein radar interferogram filter ZW Li, XL Ding, C Huang, JJ Zhu, YL Chen ISPRS Journal of Photogrammetry and Remote Sensing 63 (6), 621-634, 2008 | 141 | 2008 |
| An urban water extraction method combining deep learning and Google Earth engine Y Wang, Z Li, C Zeng, GS Xia, H Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 138 | 2020 |
| Review of the SBAS InSAR Time-series algorithms, applications, and challenges S Li, W Xu, Z Li Geodesy and Geodynamics 13 (2), 114-126, 2022 | 128 | 2022 |
| Deriving dynamic subsidence of coal mining areas using InSAR and logistic model Z Yang, Z Li, J Zhu, H Yi, J Hu, G Feng Remote Sensing 9 (2), 125, 2017 | 126 | 2017 |
| Retrieving three-dimensional displacement fields of mining areas from a single InSAR pair ZW Li, ZF Yang, JJ Zhu, J Hu, YJ Wang, PX Li, GL Chen Journal of Geodesy 89, 17-32, 2015 | 121 | 2015 |
