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Junxiong Zhou

Ph.D. Candidate
University of Minnesota Twin Cities
zhou1743@umn.edu


About Me

I am a Ph.D. student at University of Minnesota Twin Cities. I have experience in remote sensing image processing, including image fusion and classification. I am currently working on climate change adaptation based on sustainable agriculture solutions and Earth observations.

Education

Research Interests

News

Publications

  1. GCB
    Zhou J, Zhu P, Kluger DM, Lobell DB, Jin Z*
    Global Change Biology, 2024.

  2. ISPRS
    Zhou J, Yang Q, Liu L, Kang Y, Jia X, Chen M, Ghosh R, Xu S, Jiang C, Guan K, Kumar V, Jin Z*
    ISPRS Journal of Photogrammetry and Remote Sensing, 2023.



Selected Coauthor Publications

[8] Yang Q, Zhou J, Zhao L, Jin Z*. (2025). NeRF-LAI: A hybrid method combining neural radiance field and gap-fraction theory for deriving effective leaf area index of corn and soybean using multi-angle UAV images. Remote sensing of Environment, 328, 114844.
[7] Lin C, Zhou J, Yin L, Bouabid R, Mulla D, Benami E, & Jin Z*. (2024). Sub-national scale mapping of individual olive trees integrating Earth observation and deep learning. ISPRS Journal of Photogrammetry and Remote Sensing, 217, 18-31.
[6] Yang Q, Liu L, Zhou J, Rogers M, & Jin Z*. (2024). Predicting the growth trajectory and yield of greenhouse strawberries based on knowledge-guided computer vision. Computers and Electronics in Agriculture, 220, 108911.
[5] Liu W*, Zhou J, Ma Y, Chen S, & Luo Y. (2024). Unequal impact of climate warming on meat yields of global cattle farming. Communications Earth & Environment, 5(1), 65.
[4] Yang Q, Liu L, Zhou J, Ghosh R, Peng B, Guan K, ... & Jin Z*. (2023). A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest. Remote Sensing of Environment, 299, 113880.
[3] Bai Y, Li S*, Zhou J, Liu M, & Guo Q. (2023). Revisiting vegetation activity of Mongolian Plateau using multiple remote sensing datasets. Agricultural and Forest Meteorology, 341, 109649.
[2] Zhu X, Zhan W, Zhou J, Chen X, Liang Z, Xu S, & Chen J*. (2022). A novel framework to assess all-round performances of spatiotemporal fusion models. Remote Sensing of Environment, 274, 113002.
[1] Qiu Y, Zhou J, Chen J*, & Chen X. (2021). Spatiotemporal fusion method to simultaneously generate full-length normalized difference vegetation index time series (SSFIT). International Journal of Applied Earth Observation and Geoinformation, 100, 102333.

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