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School of Earth, Society & Environment Department of Geography & Geographic Information Science

Yin Liu

Advisor: Dr. Chunyuan Diao

Research Interests

Time series remote sensing, agricultural remote sensing, vegetation phenology, machine learning/deep learning

Education

  • M.S., Data Science, University of Michigan, Ann Arbor (2021)
  • M.S., Natural Resources and Environment (Env Informatics), University of Michigan, Ann Arbor (2021)
  • B.E., Remote Sensing Science and Technology, China University of Geosciences (Wuhan), China (2019)

Courses Taught

  • GGIS 489 - Programming for GIS (Instructor, Spring 2024)
  • GGIS 379 - Introduction to Geographic Information Systems (TA, Fall 2022)

 

Recent Publications

  • Liu, Y., Diao, C., Yang, Z., Mei, W., Guo, T. (Under review). A novel Normalized Harvest Phenology Index (NHPI) for corn and soybean harvesting date detection using Landsat and Sentinel-2 imagery on Google Earth Engine.
  • Liu, Y., Diao, C., Mei, W., Zhang, C. (2024). CropSight: towards a large-scale operational framework for object-based crop type ground truth retrieval using street view and PlanetScope satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2024.07.025
  • 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. https://doi.org/10.1016/j.isprsjprs.2023.06.012
  • Liu, Y., P. Rao, W. Zhou, A.K. Srivastava, S. Poonia, B. Singh, D. Van Berkel, M. Jain. (2022). Using Sentinel-1, Sentinel-2, and Planet satellite data to map field-level tillage practices in smallholder systems. Plos one. https://doi.org/10.1371/journal.pone.0277425

     

 

School of Earth, Society & Environment Department of Geography & Geographic Information Science

Natural History Building, Second Floor

1301 W. Green St., MC-150

Urbana, IL 61801

(217) 333-1880

Email: geography@illinois.edu

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