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Yelu Zeng Postdoctoral Fellow, Depart of Global Ecology, Carnegie Institution for Science 260 Panama Street, Stanford, CA 94305 [email protected]

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Yelu Zeng Postdoctoral Fellow, Depart of Global Ecology, Carnegie Institution for Science 260 Panama Street, Stanford, CA 94305 Yzeng@Carnegiescience.Edu Yelu Zeng Postdoctoral Fellow, Depart of Global Ecology, Carnegie Institution for Science 260 Panama Street, Stanford, CA 94305 [email protected] Research Area 1. Radiative transfer modeling over vegetation canopies, hyperspectral remote sensing 2. The inversion and validation of plant biophysical products, e.g., leaf area index 3. Solar-Induced chlorophyll Fluorescence (SIF), Photosynthesis, Phenology, Crops Education 2011-2016 Institute of Remote Sensing and Digital Earth, Chines Academy of Sciences, Ph.D. Quantitative Remote Sensing on Vegetation 2007-2011 School of Remote Sensing Information Engineering, Wuhan University, B.E. Remote Sensing Science and Technology Appointments 2017- Now Postdoctoral Fellow, Carnegie Institution for Science at Stanford University, Stanford, CA 94305 (supervisor: Prof. Joe Berry) 2016- 2017 Visiting Scientist, Carnegie Institution for Science at Stanford University, Stanford, CA 94305 2016- 2017 Research Assistant Professor, Institute of Remote Sensing and Digital Earth, Chines Academy of Sciences Honors and Awards 2017 Fellowship at Carnegie Institution for Science 2016 Outstanding graduate of Beijing City 2013 President Scholarship of the Institute of Remote Sensing and Digital Earth, CAS 2012 National Scholarship by Ministry of Education, China (within 2%) 2009 Second Prize in China Mathematical Modeling Contest Selected First Author Conference Presentations Y. Zeng, G. Badgley, D. Hao, J. Berry. Generation of canopy structure and fluorescence products by the combined use of DSCOVR/EPIC and TROPOMI observations. AGU Fall Meeting, 2018, Washington DC. Y. Zeng, J. Li, Q. Liu, J. Berry. Impact of 3D Canopy Structure on Remote Sensing Vegetation Index and Solar Induced Chlorophyll Fluorescence. AGU Fall Meeting, 2017, New Orleans Y. Zeng, J. Li, Q. Liu, A. R. Huete. An analytical radiative transfer model for ectones based on stochastic radiative transfer theory. AGU Fall Meeting, 2016, San Francisco, CA Y. Zeng, J. Li, Q. Liu, et al., A canopy radiative transfer model suitable for heterogeneous Agro-Forestry scenes. IEEE IGARSS, 2016, Beijing List of Selected Publications Yelu Zeng, G. Badgley, B. Dechant, Y., M. Chen, J A Berry. A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence Remote Sensing of Environment (Accepted) https://eartharxiv.org/3w9nz (preprint) Yelu Zeng, G. Badgley, et al., A radiative transfer model for solar induced fluorescence using spectral invariants theory. (In revision at RSE) Yelu Zeng, S Wu, et al., Capturing asymmetry effects of leaf upward and downward scattering by spectral invariant properties. (In review at RSE) Yelu Zeng, J. Li, et al., A radiative transfer model for patchy landscapes based on stochastic radiative transfer theory. (In review at IEEE TGRS) Yelu Zeng, Jing Li, Qinhuo Liu, Alfredo R. Huete, et al., A radiative transfer model for heterogeneous agro-forestry scenarios, IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(8): 4613-4628 Yelu Zeng, Baodong Xu, Gaofei Yin, et al. Spectral invariant provides a practical modeling approach for future biophysical variable estimations. Remote Sensing 10, no. 10 (2018): 1508. Yelu Zeng, Jing Li, Qinhuo Liu, Alfredo R. Huete, et al., An iterative BRDF/NDVI inversion algorithm based on a posteriori variance estimation of observation errors, IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(11): 6481 Yelu Zeng, Jing Li, Qinhuo Liu, et al., A sampling strategy for remotely sensed LAI product validation over heterogeneous land surfaces, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7: 3128-3142 Yelu Zeng, Jing Li, Qinhuo Liu, et al., Extracting Leaf Area Index by Sunlit Foliage Component from Downward-Looking Digital Photography under Clear-Sky Conditions, Remote Sensing, 2015, 7(10): 13410-13435 Yelu Zeng, Jing Li, Qinhuo Liu, Alfredo R. Huete, et al., An optimal sampling design for observing and validating long-term leaf area index with temporal variations in spatial heterogeneities, Remote Sensing, 2015, 7: 1300-1319 Gaofei Yin, Ainong Li, Shengbiao Wu, Weiliang Fan, Yelu Zeng, et al., PLC: A simple and semi-physical topographic correction method for vegetation canopies based on path length correction. Remote Sensing of Environment 215 (2018): 184-198 Baodong Xu, Jing Li, Taejin Park, Qinhuo Liu, Yelu Zeng, Gaofei Yin, Jing Zhao et al. An integrated method for validating long-term leaf area index products using global networks of site-based measurements. Remote Sensing of Environment 209 (2018): 134-151 Gaofei Yin, Ainong Li, Huaan Jin, Wei Zhao, Jinhu Bian, Yonghua Qu, Yelu Zeng, Baodong Xu. Derivation of temporally continuous LAI reference maps through combining the LAINet observation system with CACAO. Agricultural and Forest Meteorology, 2016, 233: 209-221 Xihan Mu, Ronghai Hu, Yelu Zeng, Tim R. McVicar, et al. Estimating structural parameters of agricultural crops from ground-based multi-angular digital images with a fractional model of sun and shade components. Agricultural and forest meteorology 246 (2017): 162-177 .
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