Yin Liu
Hello! I am a Postdoctoral Research Associate in the Department of Forest and Wildlife Ecology at the University of Wisconsin–Madison, working with Dr. Min Chen.
My research lies at the intersection of remote sensing, agriculture, machine learning, and environmental sustainability. I develop methods that integrate satellite, airborne, drone, near-surface, and field observations to monitor ecosystem dynamics and understand their responses to climate change. My current research focuses on retrieving and analyzing hyperspectral land-surface reflectance from NASA’s PACE satellite, including atmospheric correction and bidirectional reflectance distribution function normalization.
I earned my Ph.D. in Geography from the University of Illinois Urbana-Champaign, where I worked with Dr. Chunyuan Diao in the Remote Sensing Space-Time Innovation Lab. Before joining UIUC, I worked with Dr. Meha Jain and earned dual Master of Science degrees in Data Science and Natural Resources and Environment from the University of Michigan. I received my Bachelor of Engineering in Remote Sensing Science and Technology from China University of Geosciences (Wuhan).
news
| Sep 11, 2025 | My new paper “A novel Normalized Harvest Phenology Index (NHPI) for corn and soybean harvesting date detection using Landsat and Sentinel-2 imagery on Google Earth Engine” is now online at Remote Sensing of Environment! |
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| Aug 02, 2025 | I’m honored to announce that I have been awarded the 2025 CaGIS Student Scholarship by the Cartography and Geographic Information Society (CaGIS). |
| Jul 05, 2025 | I’m deeply honored to receive the National Scholarship for Outstanding Self-Financed Students Abroad from the China Scholarship Council in 2025. |
| May 16, 2025 | I’m honored to share that I’ve been selected as a Planet Fellow by the Taylor Geospatial Institute for the 2025–2026 fellowship year! |
| Mar 30, 2025 | I won the second place in the Student Honors Paper Competition in the AAG Annual Meeting (2025), organized by the Remote Sensing Specialty Group (RSSG). My paper presentation is “A novel Harvest Phenology Index (HPI) for corn and soybean harvesting date mapping using Landsat and Sentinel-2 imagery on Google Earth Engine”. |