Junxiong Zhou | University of Minnesota Twin Cities

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

2021-present: Ph.D. Student, University of Minnesota
2018-2021: M.Sc., Beijing Normal University
2014-2018: B.E., China University of Geosciences

Research Interests

Deep learning/machine learning in Earth observations: transfer learning, data assimilation, data fusion, 3D representation
Climate change adaptation and sustainability: climate warming, crop yield, crop mapping

News

[Jun. 2025] Our paper about monitoring 3D crop dynamics is published in Remote Sensing of Environment.
[Nov. 2024] Our paper about climate impacts on crop rotation is published in Global Change Biology.
[Aug. 2024] Our paper about sub-national scale olive mapping is published in ISPRS Journal of Photogrammetry and Remote Sensing.
[Feb. 2024] Our paper about climate warming impacts on cattle meat yields is published in Communications Earth & Environment.

Publications

GCB

Changes in the yield effect of the preceding crop in the US Corn Belt under a warming climate

Zhou J, Zhu P, Kluger DM, Lobell DB, Jin Z*

Global Change Biology, 2024.

ISPRS

A deep transfer learning framework for mapping high spatiotemporal resolution LAI

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.

RSE

Sensitivity of six typical spatiotemporal fusion methods to different influential factors A comparative study for a normalized difference vegetation index time series reconstruction

Zhou J, Chen J, Chen X*, Zhu X, Qiu Y, Song H, Rao Y, Zhang C, Cao X, Cui X

Remote Sensing of Environment, 2021.

SRS

A geometric misregistration resistant data fusion approach for adding red-edge (RE) and short-wave infrared (SWIR) bands to high spatial resolution imagery

Zhou J, Qiu Y, Chen J*, Chen X

Science of Remote Sensing, 2021.

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.

Services

Journal Reviewers

Skills

Remote pilot Certificate