《Journal of Remote Sensing》青年编委

《遥感技术与应用》青年编委

植被定量遥感，碳循环遥感，即时遥感

招收硕士研究生

2007.9-2011.6 南京信息工程大学 学士

2011.9-2016.7 中国科学院遥感与数字地球研究所 博士

2016.7-2019.4 中国科学院遥感与数字地球研究所 助理研究员

2017.2-2018.2 德国地学研究中心（GFZ） 博士后

2019.4-2026.5 中国科学院空天信息创新研究院 助理研究员、副研究员

2026.5- 北京师范大学 副教授

国家重点研发计划青年科学家项目“塔基生态遥感观测的多载荷长光程大气校正技术研究”，2022-2025，主持

国家自然基金面上项目“环境因素对SIF-GPP定量关系的影响机理与建模研究”，2021-2024，主持

中国科学院"空间科学（二期）"先导专项课题“叶绿素荧光遥感卫星任务概念设计”，2019-2020，主持

国家重点研发计划项目“全球生态系统碳循环关键参数立体观测与反演”， 项目骨干

中国科学院重点部署项目“TanSat卫星科学产品与全球碳收支估算”， 项目骨干

1. Liu, X.J., Liu, L.Y. *, Bacour, C., Guanter, L., Chen, J.D., Ma, Y., Chen, R.A., & Du, S.S. (2023). A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band. Remote Sensing of Environment, 284 

2. Liu, X.J., Liu, Z.Q., Liu, L.Y. *, Lu, X.L., Chen, J.D., Du, S.S., & Zou, C. (2021). Modelling the influence of incident radiation on the SIF-based GPP estimation for maize. Agricultural and Forest Meteorology, 307 

3. Liu, X.J., Liu, L. *, Du, S., & Qi, M. (2025). Inconsistent diurnal patterns of far-red solar-induced chlorophyll fluorescence retrieved with different algorithms from tower-based observations. Journal of Remote Sensing, 5, 0429. 

4. Liu, X.J., Guanter, L., Liu, L.Y.*, Damm, A., Malenovsky, Z., Rascher, U., Peng, D.L., Du, S.S., & Gastellu-Etchegorry, J.P. (2019). Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model. Remote Sensing of Environment, 231 

5. Liu, X.J., Liu, L.Y. *, Hu, J.C., Guo, J., & Du, S.S. (2020). Improving the potential of red SIF for estimating GPP by downscaling from the canopy level to the photosystem level. Agricultural and Forest Meteorology, 281 

6. Zou, C., Du, S.S., Liu, X.J.*, & Liu, L.Y. (2024). TCSIF: a temporally consistent global Global Ozone Monitoring Experiment-2A (GOME-2A) solar-induced chlorophyll fluorescence dataset with the correction of sensor degradation. Earth System Science Data, 16, 2789-2809 

7. Jing, X.; Zhao, J.; Liu, X.J. *; Li, B.; Zhang, Y.; Zhao, T.; Liu, X.; Downscaling method for red solar-induced chlorophyll fluorescence using modified kernel normalized difference vegetation index, Remote Sensing of Environment, 2026, 338: 115351

8. Qi M.J., Liu X.J.*, Du S.S., Chen R.N. and Liu L.Y., "A mechanistic model for the NIR SIF escape ratio considering interactions between the soil and canopy," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2025.3601233. 

9. Chen, R.N., Liu, X.J. *, Chen, J.D., Du, S.S., & Liu, L.Y. (2022). Solar-induced chlorophyll fluorescence imperfectly tracks the temperature response of photosynthesis in winter wheat. Journal of Experimental Botany, 73, 7596-7610 

10. Yan, L.; Liu, X.J. *; Du, S.; Chen, J.; Liu, L.; Improving Retrieval of Canopy Chlorophyll Content by Integrating Leaf Spectral Measurements into SAIL Model, IEEE Transactions on Geoscience and Remote Sensing, 2026, 1143857 

11. Chen, S., Liu, X.J. *, Han, Q. et al. A global 0.05° gross primary production dataset from 2001 to 2024 generated using a hybrid LSTM framework. Sci Data (2026).

12. Chen, J.D., Liu, X.J. *, Du, S.S., Ma, Y., & Liu, L.Y. (2021). Effects of Drought on the Relationship Between Photosynthesis and Chlorophyll Fluorescence for Maize. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 11148-11161

13. Chen, J.D., Liu, X.J. *, Ma, Y., & Liu, L.Y. (2022). Effects of Low Temperature on the Relationship between Solar-Induced Chlorophyll Fluorescence and Gross Primary Productivity across Different Plant Function Types. Remote Sensing, 14 

14. Duan, W.N., Liu, X.J. *, Chen, J.D., Du, S.S., Liu, L.Y., & Jing, X. (2022). Investigating the Performance of Red and Far-Red SIF for Monitoring GPP of Alpine Meadow Ecosystems. Remote Sensing, 14 

15. Qi, M.J., Liu, X.J. *, Du, S.S., Guan, L.L., Chen, R.A., & Liu, L.Y. (2023). Improving the Estimation of Canopy Fluorescence Escape Probability in the Near-Infrared Band by Accounting for Soil Reflectance. Remote Sensing, 15 

16. Zhang, Y., Liu, X.J. *, Du, S., Qi, M., Jing, X., & Liu, L. (2025). Performance of Ground-Based Solar-Induced Chlorophyll Fluorescence Retrieval Algorithms at the Water Vapor Absorption Band. Sensors, 25(3), 689. 

17. Liu, X.J., Guo, J., Hu, J.C., & Liu, L.Y. * (2019). Atmospheric Correction for Tower-Based Solar- Induced Chlorophyll Fluorescence Observations at O2-A Band. Remote Sensing, 11

18. Liu, X.J., & Liu, L.Y. * (2014). Assessing Band Sensitivity to Atmospheric Radiation Transfer for Space-Based Retrieval of Solar-Induced Chlorophyll Fluorescence. Remote Sensing, 6, 10656-10675 

19. Liu, X.J., Liu, L.Y. *, Zhang, S., & Zhou, X.F. (2015). New Spectral Fitting Method for Full- Spectrum Solar-Induced Chlorophyll Fluorescence Retrieval Based on Principal Components Analysis. Remote Sensing, 7, 10626-10645 

20. Liu, X.J., & Liu, L.Y. * (2015). Improving Chlorophyll Fluorescence Retrieval Using Reflectance Reconstruction Based on Principal Components Analysis. IEEE Geoscience and Remote Sensing Letters, 12, 1645-1649

21.  Liu, X.J., & Liu, L.Y. * (2018). Influence of the canopy BRDF characteristics and illumination conditions on the retrieval of solar-induced chlorophyll fluorescence. International Journal of Remote Sensing, 39, 1782-1799 

22. Liu, X.J., Liu, L.Y. *, Hu, J.C., & Du, S.S. (2017). Modeling the Footprint and Equivalent Radiance Transfer Path Length for Tower-Based Hemispherical Observations of Chlorophyll Fluorescence. Sensors, 17 

23. Chen, J.D., Liu, X.J. *, Du, S.S., Ma, Y., & Liu, L.Y. (2020). Integrating SIF and Clearness Index to Improve Maize GPP Estimation Using Continuous Tower-Based Observations. Sensors, 20 

24. 左宇鑫,刘新杰*,竞霞,等.基于塔基高光谱观测数据和机器学习方法的气溶胶光学厚度估算[J].应用生态学报,2025,36(09):2845-2852.

25. 鄢列慎,刘新杰*,陈冀岱,等.数据驱动SIF反演算法在塔基观测中的应用效果评价[J].遥感技术与应用,2023,38(04):924-934.

26. 孙忠秋, 高显连, 杜珊珊, 刘新杰*. 全球日光诱导叶绿素荧光卫星遥感产品研究进展与展望. 遥感技术与应用, 2021, 36 (05): 1044-1056.

27. 刘新杰,魏云霞,焦全军,等.基于时序定量遥感的冬小麦长势监测与估产研究[J].遥感技术与应用,2019,34(04):756-765.

28. 刘新杰,刘良云.叶绿素荧光的GOSAT卫星遥感反演[J].遥感学报,2013,17(06):1518-1532.

29. 刘新杰,刘良云,李绪志,等.天宫一号高光谱成像仪数据与环境星CCD数据分类效果比较研究[J].遥感信息,2013,28(03):74-79.