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Junchang Ju

Photo of JUNCHANG JU

Junchang Ju

  • ASSOC RESEARCH SCIENTIST
  • 301.614.6451
  • NASA/GSFC
  • Mail Code: 618
  • Greenbelt , MD 20771
  • Employer: UNIV OF MARYLAND COLLEGE PARK

    • Brief Bio

    Dr.Ju works as a Remote Sensing Scientist in the Biospheric Sciences Laboratory (code 618). He is interested in satellite-data-based vegetation dynamics study from continental to global scales. He received his BS from China’s Northwest University in 1993 and PhD from Boston University in 2004, all in geography.

    Current Projects

    Harmonized Landsat/Sentinel-2

    He is currently on a team implementing a production system to harmonize Sentinel-2 and Landsat-8 data to provide more frequent moderate-resolution earth surface observation data (https://hls.gsfc.nasa.gov)

    Publications

    Refereed

    Roy, D., H. Zhang, J. Ju, et al. J. Gomez-Dans, P. Lewis, C. Schaaf, Q. Sun, J. Li, H. Huang, and V. Kovalskyy. 2016. "A general method to normalize Landsat reflectance data to nadir BRDF adjusted reflectance." Remote Sensing of Environment, 176: 255--271.

    Ju, J., and J. G. Masek. 2016. "The vegetation greenness trend in Canada and US Alaska from 1984–2012 Landsat data." Remote Sensing of Environment, 176: 1-16 [10.1016/j.rse.2016.01.001]

    Roy, D. P., Y. Qin, V. Kovalskyy, et al. E. F. Vermote, J. Ju, A. Egorov, M. Hansen, I. Kommareddy, and L. Yan. 2014. "Conterminous United States demonstration and characterization of MODIS-based Landsat ETM+ atmospheric correction." Remote Sensing of Environment, 140: 433-449 [10.1016/j.rse.2013.09.012]

    Ju, J., D. P. Roy, E. Vermote, J. Masek, and V. Kovalskyy. 2012. "Continental-scale validation of MODIS-based and LEDAPS Landsat ETM+ atmospheric correction methods." Remote Sensing of Environment, 122: 175-184 [10.1016/j.rse.2011.12.025]

    Roy, D. P., J. Ju, P. Lewis, et al. C. Schaaf, F. Gao, M. Hansen, and E. Lindquist. 2008. "Multi-temporal MODIS–Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data." Remote Sensing of Environment, 112 (6): 3112-3130 [10.1016/j.rse.2008.03.009]

    Brief Bio

    Dr.Ju works as a Remote Sensing Scientist in the Biospheric Sciences Laboratory (code 618). He is interested in satellite-data-based vegetation dynamics study from continental to global scales. He received his BS from China’s Northwest University in 1993 and PhD from Boston University in 2004, all in geography.

    Publications

    Refereed

    Roy, D., H. Zhang, J. Ju, et al. J. Gomez-Dans, P. Lewis, C. Schaaf, Q. Sun, J. Li, H. Huang, and V. Kovalskyy. 2016. "A general method to normalize Landsat reflectance data to nadir BRDF adjusted reflectance." Remote Sensing of Environment 176 255--271

    Ju, J., and J. G. Masek. 2016. "The vegetation greenness trend in Canada and US Alaska from 1984–2012 Landsat data." Remote Sensing of Environment 176 1-16 [10.1016/j.rse.2016.01.001]

    Roy, D. P., Y. Qin, V. Kovalskyy, et al. E. F. Vermote, J. Ju, A. Egorov, M. Hansen, I. Kommareddy, and L. Yan. 2014. "Conterminous United States demonstration and characterization of MODIS-based Landsat ETM+ atmospheric correction." Remote Sensing of Environment 140 433-449 [10.1016/j.rse.2013.09.012]

    Ju, J., D. P. Roy, E. Vermote, J. Masek, and V. Kovalskyy. 2012. "Continental-scale validation of MODIS-based and LEDAPS Landsat ETM+ atmospheric correction methods." Remote Sensing of Environment 122 175-184 [10.1016/j.rse.2011.12.025]

    Roy, D. P., J. Ju, P. Lewis, et al. C. Schaaf, F. Gao, M. Hansen, and E. Lindquist. 2008. "Multi-temporal MODIS–Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data." Remote Sensing of Environment 112 (6): 3112-3130 [10.1016/j.rse.2008.03.009]

                                                                                                                                                                                            
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    • Last Updated: 09/29/2023