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Zijun Yang

Advisor: Dr. Chunyuan Diao

Research Interests

Time series remote sensing, agricultural remote sensing, geospatial artificial intelligence, and environmental sustainability


  • M.S., Natural Resources and Environment (Environmental Informatics), University of Michigan-Ann Arbor, MI, 2018
  • B.S., Geographic Information Systems, Sun Yat-sen University, China, 2016

Awards and Honors

  • Block Grant Fellowship, UIUC, 2023
  • Foster Graduate Fellowship, UIUC, 2023
  • Planet Fellowship, Taylor Geospatial Institute, 2022
  • Schlesinger Travel Grant, UIUC, 2022
  • Student Honors Paper Competition Award, Remote Sensing Specialty Group, Association of American Geographers, 2020
  • Teacher Ranked as Excellent by Their Students, UIUC, 2019

Courses Taught

  • GEOG 477 - Introduction to Remote Sensing (Guest Lecturer) - Fall 2019, Spring 2021, and Fall 2023
  • GEOG 379 - Intro to GIS Systems (TA) - Spring 2019
  • GEOG 105 - The Digital Earth (TA) - Fall 2018

Recent Publications

Zhao, Y., Diao, C., Augspurger, C. K., & Yang, Z. (2023). Monitoring spring leaf phenology of individual trees in a temperate forest fragment with multi-scale satellite time series. Remote Sensing of Environment, 297, 113790.

Liu, Y., Diao, C., & Yang, Z. (2023). CropSow: An integrative remotely sensed crop modeling framework for field-level crop planting date estimation. ISPRS Journal of Photogrammetry and Remote Sensing, 202, 334-355.

Yang, Z., Diao, C., & Gao, F. (2023). Towards Scalable Within-Season Crop Mapping with Phenology Normalization and Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 1390-1402.

Yang, Z., Diao, C., & Li, B. (2021). A Robust Hybrid Deep Learning Model for Spatiotemporal Image Fusion. Remote Sensing, 13(24), 5005.

Diao, C., Yang, Z., Gao, F., Zhang, X., & Yang, Z. (2021). Hybrid phenology matching model for robust crop phenological retrieval. ISPRS Journal of Photogrammetry and Remote Sensing, 181, 308-326.