Qian Zhang
|
Research Associate | 
|
Professional background
| since 2016: | Research Associate at International Institute for Earth System Science of Nanjing University, China |
| 2013: | Visiting Scientist at CSIRO Marine and Atmospheric Research, Melbourne, Austrila |
| 2011-16: | PhD in Remote Sensing and Carbon Cycle, Nanjing University, China |
| 2008-11: | MAgr in Forestry Management, Nanjing Forestry University, China |
| 2004-08: | BAgr in Forestry and BSc in Biotechnology, Shandong Agricultural University, China |
My work at BGI
Detection of heat and drought stress on vegetation using vegetation indices and fluorescence from remote sensing
Current Projects:
CSC Scholarship for visiting scientist
Research Interest:
- Near-surface automatic hyperspectral and Lidar observations
- Plant photosynthesis and carbon cycle
- Photochemical reflectance index and solar-induced fluorescense
- Heat and drought stress on vegetation
- Multi-angle observation, sun-target-viewer geometry and correction of angular effects
- UAV-platform observation and application
Publications:
Jinghua Chen, Qian Zhang, Bin Chen, Yongguang Zhang, Li Ma, Zhaohui Li, Xiaokang Zhang, Yunfei Wu, Shaoqiang Wang, Robert A Mickler, Evaluating Multi-Angle Photochemical Reflectance Index and Solar-Induced Fluorescence for the Estimation of Gross Primary Production in Maize. Remote Sensing, 2020，12, 2812
Xiaokang Zhang, Feng Qiu，Chunhui Zhan, Qian Zhang, Zhaohui Li, Yunfei Wu，Yu Huang, Xinghai Chen, Acquisitions and Applications of Forest Canopy Hyperspectral Imageries at Hotspot and Multi-View Angle Using Unmanned Aerial Vehicle Platform. Journal of Applied Remote Sensing, 2020, 14, 022212.
Zhaohui Li, Qian Zhang, Ji Li, Xi Yang, Yunfei Wu, Zhaoying Zhang, Songhan Wang, Hezhou Wang, Yongguang Zhang, Solar-induced chlorophyll fluorescence and its link to canopy photosynthesis in maize from continuous ground measurements. Remote Sensing of Environment, 2020, 236, 111420
Chunhui Zhan, Qian Zhang, Zhaohui Li, Xiaokang Zhang, Yunfei Wu, Impacts of different radiometric calibration methods on the retrievals of sun-induced chlorophyll fluorescence and its relation to productivity for continuous field measurements, Journal of Applied Remote Sensing, 2020, 14(2), 022206.
Qian Zhang, Xiaokang Zhang, Zhaohui Li, Yunfei Wu, Yongguang Zhang, Comparison of bi-hemispherical and hemispherical-conical configurations for in situ measurements of solar-induced chlorophyll fluorescence, Remote Sensing, 2019, 11, 2642.
Qing Huang, Feng Qiu, Weiliang Fan, Yibo Liu, Qian Zhang, Evaluation of Different Methods for Estimating the Fraction of Sunlit Leaves and Its Contribution for Photochemical Reflectance Index Utilization in a Coniferous Forest, Remote Sensing, 2019,11(14), 1643.
Xiaorong Wang, Bo Qiu, Wenkai Li, Qian Zhang, Impacts of drought and heatwave on the terrestrial ecosystem in China as revealed by satellite solar-induced chlorophyll fluorescence, Science of The Total Environment, 2019(693), 133627.
Feng Qiu, Jing M. Chen, Weimin Ju, Jun Wang, Qian Zhang, Meihong Fang. Improving the PROSPECT Model to Consider Anisotropic Scattering of Leaf Internal Materials and Its Use For Retrieving Leaf Biomass in Fresh Leaves. IEEE Transactions on Geoscience and Remote Sensing, 2018, 99: 1-18.
Qian Zhang, Jing M. Chen, Weimin Ju, Huimin Wang, Feng Qiu, Fengting Yang, Weiliang Fan, Qing Huang, et al. Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves. Remote Sensing of Environment, 2017, 194: 1-15.
Qian Zhang, Weimin Ju, Jing M. Chen, Huimin Wang, Fengting Yang, Weiliang Fan, Qing Huang, Ting Zheng, et al. Ability of the Photochemical Reflectance Index to Track Light Use Efficiency for a Sub-Tropical Planted Coniferous Forest. Remote Sensing, 2015, 7 (12): 16938-16962.
Other works
ChinaSpec: a network for long-term in situ measurements of solar-induced fluorescence and reflectance in China https://chinaspec.nju.edu.cn/EN/HOME/index.html
SIFprism and Multi-Fluo systems for automatic measurements of SIF and reflectance https://chinaspec.nju.edu.cn/EN/INFORMATIONSHARE/index.html