副研究员
刘新杰
职  称:
职  务:
学  历:
电  话: 010-82178178
传  真:
电子邮件: liuxj@radi.ac.cn
通讯地址:

 

研究领域/方向

植被定量遥感,叶绿素荧光遥感机理与应用

 

 

教育背景


2011.09 - 2016.07 中国科学院大学/中科院遥感地球所 地图学与地理信息系统专业 博士学位
2007.09 - 2011.06 南京信息工程大学 地理信息系统专业 学士学位

 

 

工作经历


2020.12至今 中科院空天院 副研究员
2017.02 - 2018.02 德国地学研究中心(GFZ) 博士后
2016.07 - 2020.12 中科院遥感地球所、空天院 助理研究员

 

 

承担科研项目情况


2021.01-2024.12 国家自然科学基金面上项目“环境因素对SIF-GPP定量关系的影响机理与建模研究” 项目负责人
2019.06-2020.12 中科院“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” 课题负责人
2018.01-2020.12 国家自然科学基金青年科学基金项目“植被二向反射特征对叶绿素荧光遥感反演的影响与校正模型” 项目负责人
2017.07-2021.12 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
2019.01-2021.12 中科院重点部署项目“TanSat卫星科学产品与全球碳收支估算” 项目骨干

 

 

获奖及荣誉

 

2019.03 遥感地球所青年创新促进会会员
2016.08 中国科学院院长优秀奖
2016.07 中德(CSC-DAAD)博士后奖学金 

 

 

主要论著


Liu, X., Liu, L., Hu, J., Guo, J., & Du, 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, 107846
Liu, X., Guanter, L., Liu, L., Damm, A., Malenovský, Z., Rascher, U., Peng, D., Du, 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, 110772
Liu, X., Guo, J., Hu, J., & Liu, L. (2019). Atmospheric Correction for Tower-Based Solar-Induced Chlorophyll Fluorescence Observations at O2-A Band. Remote Sensing, 11, 355
Liu, X., & Liu, L. (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
Liu, X., Liu, L., Hu, J., & Du, S. (2017). Modeling the footprint and equivalent radiance transfer path length for tower-based hemispherical observations of chlorophyll fluorescence. Sensors, 17, 1131
Chen, J., Liu, X.*, Du, S., Ma, Y., & Liu, L. (2020). Integrating SIF and Clearness Index to Improve Maize GPP Estimation Using Continuous Tower-Based Observations. Sensors, 20, 2493
Du, S., Liu, L., Liu, X., Zhang, X., Gao, X., & Wang, W. (2020). The Solar-Induced Chlorophyll Fluorescence Imaging Spectrometer (SIFIS) Onboard the First Terrestrial Ecosystem Carbon Inventory Satellite (TECIS-1): Specifications and Prospects. Sensors, 20, 815
Ma, Y., Liu, L., Chen, R., Du, S., & Liu, X. (2020). Generation of a Global Spatially Continuous TanSat Solar-Induced Chlorophyll Fluorescence Product by Considering the Impact of the Solar Radiation Intensity. Remote Sensing, 12, 2167
Liu, L., Liu, X., Chen, J., Du, S., Ma, Y., Qian, X., Chen, S., & Peng, D. (2020). Estimating maize GPP using near-infrared radiance of vegetation. Science of Remote Sensing, 2, 100009
Du, S., Liu, L., Liu, X., Guo, J., Hu, J., Wang, S., & Zhang, Y. (2019). SIFSpec: Measuring solar-induced chlorophyll fluorescence observations for remote sensing of photosynthesis. Sensors, 19, 3009
Chen, S., Liu, L., Zhang, X., Liu, X., Chen, X., Qian, X., Xu, Y., & Xie, D. (2019). Retrieval of the Fraction of Radiation Absorbed by Photosynthetic Components (FAPARgreen) for Forest Using a Triple-Source Leaf-Wood-Soil Layer Approach. Remote Sensing, 11, 2471
Liu, L., Zhang, X., Xie, S., Liu, X., Song, B., Chen, S., & Peng, D. (2019). Global white-sky and black-sky fapar retrieval using the energy balance residual method: Algorithm and validation. Remote Sensing, 11, 1004
Hu, J., Liu, X., Liu, L., & Guan, L. (2018). Evaluating the performance of the SCOPE model in simulating canopy solar-induced chlorophyll fluorescence. Remote Sensing, 10, 250
Du, S., Liu, L., Liu, X., Zhang, X., Zhang, X., Bi, Y., & Zhang, L. (2018). Retrieval of global terrestrial solar-induced chlorophyll fluorescence from TanSat satellite. Science Bulletin, 63, 1502-1512
Hu, J., Liu, L., Guo, J., Du, S., & Liu, X. (2018). Upscaling solar-induced chlorophyll fluorescence from an instantaneous to daily scale gives an improved estimation of the gross primary productivity. Remote Sensing, 10, 1663
Hu, J., Liu, L., Guo, J., Du, S., & Liu, X. (2018). Upscaling solar-induced chlorophyll fluorescence from an instantaneous to daily scale gives an improved estimation of the gross primary productivity. Remote Sensing, 10, 1663
Zhao, F., Li, R., Verhoef, W., Cogliati, S., Liu, X., Huang, Y., Guo, Y., & Huang, J. (2018). Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: Intercomparison study for a novel method. Remote Sensing of Environment, 219, 233-246
Liu, L., Liu, X., Hu, J., & Guan, L. (2017). Assessing the wavelength-dependent ability of solar-induced chlorophyll fluorescence to estimate the GPP of winter wheat at the canopy level. International Journal of Remote Sensing, 38, 4396-4417
Liu, L., Guan, L., & Liu, X. (2017). Directly estimating diurnal changes in GPP for C3 and C4 crops using far-red sun-induced chlorophyll fluorescence. Agricultural and Forest Meteorology, 232, 1-9
Du, S., Liu, L., Liu, X., & Hu, J. (2017). Response of canopy solar-induced chlorophyll fluorescence to the absorbed photosynthetically active radiation absorbed by chlorophyll. Remote Sensing, 9, 911
Hu, J., Liu, L., & Liu, X. (2017). Improving the retrieval of solar-induced chlorophyll fluorescence at canopy level by modeling the relative peak height of the apparent reflectance. Journal of Applied Remote Sensing, 11, 026032
Liu, L., Song, B., Zhang, S., & Liu, X. (2017). A novel principal component analysis method for the reconstruction of leaf reflectance spectra and retrieval of leaf biochemical contents. Remote Sensing, 9, 1113
Peng, D., Zhang, X., Zhang, B., Liu, L., Liu, X., Huete, A.R., Huang, W., Wang, S., Luo, S., & Zhang, X. (2017). Scaling effects on spring phenology detections from MODIS data at multiple spatial resolutions over the contiguous United States. ISPRS Journal of Photogrammetry and Remote Sensing, 132, 185-198
Zhang, S., Liu, L., Liu, X., & Liu, Z. (2016). Development of a new BRDF-resistant vegetation index for improving the estimation of leaf area index. Remote Sensing, 8, 947

 

 

招生信息

 

 

 

指导学生情况