Imperial College London


Faculty of EngineeringDepartment of Earth Science & Engineering

Reader in Remote Sensing



+44 (0)20 7594 6418j.g.liu




1.38Royal School of MinesSouth Kensington Campus






  • Reader in Remote Sensing, Imperial College
    2008 -
  • Senior Lecturer, Imperial College  2002 - 2008
  • Research Lecturer (Research Fellow), Imperial College  1996-2002
  • Research Associate in Remote Sensing, Imperial College  1991-1996
  • PhD Remote Sensing and Image Processing, Imperial College  1988-1991
  • Lecturer. Remote Sensing Lab, China University of Geosciences, Wuhan, China.  1982-1988
  • MSc Remote Sensing in Geology, China University of Geosciences, Beijing, P. R. China.  1979-1982

Recent Measures of Esteem

  • Scientific Committee member for IGARSS (International Geoscience and Remote Sensing Symposium) since 2008.
  • The first author of a popular textbook: Essential Image Processing and GIS for Remote Sensing published by Wiley and Blackwell, 2009.
  • Reviewer for more than 20 internationally recognised journals.



Liu J, Zheng G, Yang J, et al., 2019, Top Cloud Motion Field of Typhoon Megi-2016 Revealed by GF-4 Images, Ieee Transactions on Geoscience and Remote Sensing, Vol:57, ISSN:0196-2892, Pages:4427-4444

Durston NE, Wan X, Liu WG, et al., 2019, Avian surface reconstruction in free flight with application to flight stability analysis of a barn owl and peregrine falcon, Journal of Experimental Biology, Vol:222, ISSN:0022-0949

Wan X, Liu J, Li S, et al., 2019, An Illumination-Invariant Change Detection Method Based on Disparity Saliency Map for Multitemporal Optical Remotely Sensed Images, Ieee Transactions on Geoscience and Remote Sensing, Vol:57, ISSN:0196-2892, Pages:1311-1324

Du S, Liu Y, Ye M, et al., 2018, Single image deraining via decorrelating the rain streaks and background scene in gradient domain, Pattern Recognition, Vol:79, ISSN:0031-3203, Pages:303-317

Bi H, Liu J, Zhang B, et al., 2018, Baseline distribution optimization and missing data completion in wavelet-based CS-TomoSAR, Science China-information Sciences, Vol:61, ISSN:1674-733X

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