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Jie Xue

Visiting Scientist


/ARSUserFiles/54592/JieXue_web.jpg Jie Xue, Ph.D.
Research Physical Scientist
USDA-ARS Hydrology and Remote Sensing Laboratory
Bldg. 007, Rm. 104, BARC-West
Beltsville, MD 20705-2350 USA
Voice: (301) 504-7490
Fax: (301) 504-8931
Jie.Xue@usda.gov

Research Interests:


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Selected Publications: (please contact the author to determine reprint availability)

Xue, J., Anderson, M. C., Gao, F., Hain, C., Sun, L., Yang, Y., Knipper, K. R., Kustas, W. P., Torres-Rua, A. and Schull, M. (2020) Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances. (in review).

Xie, B., Zhang, H. K. and Xue, J. (2019). Deep Convolutional Neural Network for Mapping Smallholder Agriculture Using High Spatial Resolution Satellite Image. Sensors, 19(10), 2398.

Xue, J., Leung, Y., & Fung, T. (2019). An Unmixing-based Bayesian Model for Spatio-Temporal Satellite Image Fusion in Heterogeneous Landscapes. Remote Sensing, 11(3), 324.

Ying, H., Leung, Y., Cao, F., Fung, T. and Xue, J. (2018). Sparsity-based Spatiotemporal Fusion via Adaptive Multi-band Constraints. Remote Sensing, 10(10), 1646.

Xue, J., Leung, Y. and Fung, T. (2017). A Bayesian Data Fusion Approach to Spatio-temporal Fusion of Remotely Sensed Images. Remote Sensing, 9(12), 1310.

Xue, J., Leung, Y. and Ma, J. H. (2015). High-order Taylor Series Expansion Methods for Error Propagation in Geographic Information Systems. Journal of Geographical Systems, 17(2), 187-206.

Xue, J. and Ma, J. H. (2012, June). A Comparative Study of Several Taylor Expansion Methods on Error Propagation. Proceedings of the 20th International Conference on Geoinformatics, IEEE GRSS.

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