Sciences and Exploration Directorate

Junchang Ju



Org Code: 618

Mail Code: 618
Greenbelt, MD 20771


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

Vegetation & Soil

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 (



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]