Xinyi Shen

Xinyi Shen

  • Assistant Professor, School of Freshwater Sciences

Visit the Hydro-Intelligence Lab


  • PhD, Institute of Remote Sensing and GIS, Peking University, 2012
  • BS, School of Remote Sensing and Information Engineering, Wuhan University, 2007

Research Interests

Dr. Xinyi Shen has been an Assistant Professor at the School of Freshwater Sciences at University of Wisconsin-Milwaukee since 2022. He was previously an assistant research professor at the University of Connecticut. He did postdoc work at the University of Connecticut and the University of Oklahoma. His research interests include interactions of humans, disasters, and the built environment under climate change; flood-inundation modeling and observatory using hydrological modeling and remote sensing; AI applications in natural hazards and climate change; AI applications in desert biodiversity under climate change; and remote sensing, photogrammetry and GIS.

Selected Services

Dr. Shen currently serves as an Associate Editor of Journal of Hydrology (Elsevier).

His team provides NRT flood inundation maps to International Disaster Charters.

Dr. Shen serves as a peer reviewer for the following journals:

Stochastic Environmental Research and Risk Assessment, Advances in Meteorology, Atmosphere Research, Journal of Hydrology, Journal of Water Resources Planning and Management, Science of the Total Environment, Environmental Research Letters, Remote Sensing, Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, International Journal of Remote Sensing, Photogrammetric Engineering & Remote Sensing, Journal of Remote Sensing Technology

Recent and Selected Publications

Qing Yang, Xinyi Shen*, Feifei Yang, Emmanouil Anagnostou, Kang He, Chongxun Mo, Hojjat Seyyedi, Albert J. Kettner, and Qingyuan Zhang, “Predicting Flood Property Insurance Claims over CONUS, Fusing Big Earth Observation Data”, Bulletin of American Meteorological Society, doi: 10.1175/BAMS-D-21-0082.1.

Rehenuma Lazin, Xinyi Shen*, Emmanouil Anagnostou, “Predicting flood damaged crop lands using Convolutional Neural Network (CNN)”, Environmental Research Letters, vol. 16 (5) pp. 054011 doi: 10.1088/1748-9326/abeba0.

Qing Yang, Xinyi Shen*, Emmanouil Anagnostou, Jack Eggleston, and Albert Kettner “A High-Resolution Flood Inundation Archive (2016–the Present) from Sentinel-1 SAR Imagery over CONUS”, Bulletin of the American Meteorological Society, DOI:10.1175/BAMS-D-19-0319.1.

Xinyi Shen*, Chenkai Cai, Hui Li, “Satellite reveals socioeconomic restrictions slowdown COVID-19 far more effectively than favorable weather”, Science of the Total Environment, vol. 748, pp. 141401, DOI:10.1016/j.scitotenv.2020.141401.

Xinyi Shen*, Emmanouil N. Anagnostou, George H. Allen, Robert G. Brakenridge and Albert J. Kettner (2019). “Near-Real Time Non-obstructed Inundation Mapping by Synthetic Aperture Radar” Remote Sensing of Environment, vol. 221, 302-315. DOI: 10.1016/j.rse.2018.11.008

Xinyi Shen* and Emmanouil Anagnostou (2017) “A Framework to Improve Hyper-Resolution Hydrologic Simulation in Snow-Affected Regions”, Journal of Hydrology, vol.552, pp.1-12, DOI:10.1016/j.jhydrol.2017.05.048. 

Xinyi Shen, Yiwen Mei and Emmanouil N. Anagnostou*, (2017). “A Comprehensive Flood Events Database in Continental United States” Bulletin of the American Meteorological Society, 98 (7), 1493-1502, DOI: 10.1175/BAMS-D-16-0125.1. 

Xinyi Shen*, Emmanouil N. Anagnostou*, Yiwen Mei and Yang Hong (2016), “A Global Distributed Basin Morphometric Dataset”, Scientific Data, 4:160124, DOI: 10.1038/sdata.2016.124. 

Xinyi Shen, Yang Hong*, Ke Zhang, and Zengcao Hao (2016), “Refining a Distributed Linear Reservoir Routing Method”, Journal of Hydrologic Engineering, vol. 22 (3), DOI: 10.1061/(ASCE)HE.1943-5584.0001442.

Xinyi Shen, Yang Hong*, Qiming Qin, Jeffery Basara and Kebiao Mao (2015). “A Semi-Physical Microwave Surface Emission Model for Soil Moisture Retrieval” IEEE Transactions on Geoscience and Remote Sensing, Vol. 53(7), pp. 4079-4090, DOI: 10.1109/TGRS.2015.2390219

Selected Grants

2022.7-2025.6, “Near-Real-Time Flood Observing by Synthetic Aperture Radar Satellites over the CONUS area”, NOAA/ NESDIS CIGLR, $480,000. Role: PI.

2022-2025 “TraitsCape: Understanding the role of microrefugia in buffering fynbos from global change”, NASA ROSES-A.7 Biodiversity: Marine, Freshwater, and Terrestrial Biodiversity Survey of the Cape (BioSCape) Airborne Campaign Science Team. Role: CoI (PI: Cory Merow), $200,000.

2022.6-2023.5, “Planning for Climate Resilient and Fish-Friendly Road/Stream Crossings in Berkshire Valley”, $21,000. Berkshire Valley Association, Role: PI.

2022.2-2024.1, “The development of numerical models to improve the accuracy of the weather forecasts initiative”, National Center for Meteorology – NCM (former General Authority of Meteorology and Environmental Protection -GAMEP), Kingdom of Saudi Arabia, Role CoI, $320,000, (PI Emmanouil Anagnostou).

2020.3-2022.2. “Collaborative Research: Near term forecasts of global plant distribution, community structure, and ecosystem function”, $443,592, National Science Foundation/Data Harness Revolution (NSF-HDR), Role: Senior Personnel (PI: Brian Enquist, Institutional PI: Cory Merow).

2016-2021, “Evaluation of Substations Vulnerability of Flooding in Current and Climate Change Scenarios in Connecticut, Massachusetts, and New Hampshire” $976,500, Eversource Energy Center. Role: PI.

2016.3-2023.8, “Planning for Climate Resilient and Fish-Friendly Road/Stream Crossings in New York State”, $157,000 (renewed ~ annually). Housatonic Valley Association, Role: PI.

2018.9-2019.3, “Sewer Backup Risk Score”, $45,000, Travelers, Role, PI.