Li, Jian

Postdoctoral Fellow
Email: 
jian.li@sdstate.edu
Education: 
  • Ph.D. in Photogrammetry and Remote Sensing, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 2014.
  • M.S. in Cartography and Geographic Information System, School of Resource and environmental Science, Wuhan University, 2010.
  • B.S. in Geographic Information System, School of Resource and environmental Science, Wuhan University, 2008.
Research Interests: 
Geographic Information System, Image processing of Remote sensing

Publications:

Roy, D.P, Li, J., Zhang, H.K., Yan, L., Huang, H., 2017, Examination of Sentinel-2A multi-spectral instrument (MSI) reflectance anisotropy and the suitability of a general method to normalize MSI reflectance to nadir BRDF adjusted reflectance, Remote Sensing of Environment, 199, 25-28.
Roy, D.P., Li, J., Zhang, H.K., Yan, L., 2016, Best practices for the reprojection and resampling of Sentinel-2 Multi Spectral Instrument Level 1C data, Remote Sensing Letters, 7(11), 1023-1032. doi:10.1080/2150704X.2016.1212419.
Li, J., Guo, B., Peng, Z. (2015). Image matching of junction-type feature points based on the third-order moment. Optik - International Journal for Light and Electron Optics, 126(4), 411-416. doi:10.1016/j.ijleo.2014.05.053.
Yan, L., Roy, D.P., Zhang, H.K., Li, J., Huang, H., 2016, An automated approach for sub-pixel registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery, Remote Sensing, 8(6), 520.
Roy, D.P., Zhang, H. K., Ju, J., Gomez-Dans, J. L., Lewis, P.E., Schaaf C.B., Sun, Q., Li, J., Huang, H., Kovalskyy, V., 2016, A general method to normalize Landsat reflectance data to nadir BRDF adjusted reflectance, Remote Sensing of Environment, 176, 255-271.
Huang, H., Roy, D.P., Boschetti, B., Zhang, H.K., Yan, L., Kumar, S.S., Gomez-Dans, J., Li, J., 2016, Separability analysis of Sentinel-2A multi-spectral instrument (MSI) data for burned area discrimination, Remote Sensing. 8(10), 873.
Li, J., Li D., Shao z., 2013, A streaming data Delaunay triangulation algorithm based on parallel computing. Geomatics and Information Science of Wuhan University, v38, n7, p794-798, July 2013.
Li, J., Guo B., Xiao X., 2014, The Use of OpenMP parallel standards in massive data Delaunay triangulation. Applied Mechanics and Materials, Vols. 548-549 (2014) 1143-1147.
Li, J., 2015, A new method for massive cloud point data Delaunay triangulation based on parallel computing, Science of Surveying and Mapping, Vols. 11(2015) 2143-2147.

Last modified: 
Jul 15, 2017