Ying Sun (environmental scientist)

Ying Sun is a Chinese-American agricultural scientist and environmental scientist whose research combines space-based sensing and land surface modeling to study the interactions between climate and agricultural ecosystems. She is an associate professor in the School of Integrative Plant Science Soil and Crop Sciences at Cornell University.[1]

Sun is originally from Yangquan.[2] She is a 2008 graduate of Beijing Normal University, and completed a doctorate at the University of Texas at Austin in 2013.[1] Her doctoral dissertation, Role of Mesophyll CO2 Diffusion and Large-Scale Disturbances in the Interactions between Climate and Carbon Cycles, was supervised by Robert E. Dickinson.[2] She was a postdoctoral researcher, jointly between the University of Texas and with Christian Frankenberg at the Jet Propulsion Laboratory,[3][4] before taking her present faculty position at Cornell in 2016.[4]

In 2024, Sun's research group developed a remote sensing method to assess and predict crop yield by measuring the solar-induced chlorophyll fluorescence (SIF). [5] This approach using satellite data is cost-effective and has the potential to inform policy making, crop insurance, and poverty forecasting. [6]

References

  1. ^ a b "Ying Sun", Our Experts, Cornell School of Integrative Plant Science Soil and Crop Sciences, retrieved 2023-09-21
  2. ^ a b Sun, Ying (2013), Role of Mesophyll CO2 Diffusion and Large-Scale Disturbances in the Interactions between Climate and Carbon Cycles, University of Texas at Austin, hdl:2152/21525; see vita, p. 185.
  3. ^ Frankenberg, Christian, "Current team", FraLab, California Institute of Technology, retrieved 2023-09-21
  4. ^ a b "Introducing new members of the faculty for 2016–17", Cornell Chronicle, Cornell University, November 4, 2016, retrieved 2023-09-21
  5. ^ Kira, Oz; Wen, Jiaming; Han, Jimei; McDonald, Andrew J; Barrett, Christopher B; Ortiz-Bobea, Ariel; Liu, Yanyan; You, Liangzhi; Mueller, Nathaniel D; Sun, Ying (April 1, 2024). "A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF)". Environmental Research Letters. 19 (4): 044071. doi:10.1088/1748-9326/ad3142. ISSN 1748-9326.
  6. ^ "Satellite images of plants' fluorescence can predict crop yields | Cornell Chronicle". news.cornell.edu. Retrieved 2024-10-08.