Dong Yanzhu

Job Title: 
Associate Professor
Research Interests: 
Remote Sensing Monitoring of Marine Ecological Environment
Remote Sensing Monitoring of Offshore Human Activities
Remote Sensing Big Data and Artificial Intelligence
Synthetic Aperture Radar
Marine Oil Spill
Email: 
zydong@sklec.ecnu.edu.cn
dongyanzhu@outlook.com
Address: 
500 Dongchuan Rd.,Shanghai 200241, China
Education Experience: 
2020.09–2025.06: Nanjing University, School of Geography and Ocean Science, Doctor of Science
2017.09–2020.06: Nanjing University, School of Geography and Ocean Science, Master of Science
2013.09–2017.06: Nanjing University of Posts and Telecommunications, Bachelor of Science
Work Experience: 
2025.09–Present: East China Normal University, State Key Laboratory of Estuarine and Coastal Research, Young Research Fellow
Academic Exchange: 
2023.01–2024.01: James Cook University, Australia, Visiting Scholar
2015.08–2016.01: University of California, Berkeley, USA, Visiting Student
Personal Details : 
My research interests focus on monitoring marine ecological environments and offshore human activities using multi-source remote sensing and artificial intelligence techniques.
Software, cloud platforms and programming languages: ArcGIS, Google Earth Engine, MATLAB, Python, PyTorch, etc.
Recruiting master candidates in GIS, Remote Sensing and related fields. International students and scholars are welcome for short-term visits and exchanges.
Projects: 
  1. National Natural Science Foundation of China (NSFC) Young Scientists Fund (Category C), PI (2027.01–2029.12)
  2. NSFC Key Program, "Fine Classification of Marine Phytoplankton Based on Coupled Microscopic-Macroscopic Hyperspectral Observations", Participant (2026.01–2030.12)
  3. Zijiang Young Scholar Research Startup Fund of East China Normal University, PI (2025.09–2029.01)
  4. Nanjing University Doctoral Innovation Leadership Program – Excellence Project, PI (2023.09–2024.06)
  5. NSFC General Program, Tidal Flat Stability and Its Response to Human Activities Supported by Time-Series Remote Sensing Data, Participant (2020.01–2023.12)
  6. National Key R&D Program of China (Sub-task), Technology for Environmental Dynamic Monitoring and Change Analysis of Global Land-Marine Oil and Gas Exploitation, Participant (2016.07–2020.12)
  7. Jiangsu Distinguished Young Scholars Fund, Evolution Analysis of Jiangsu Coastal Zone Supported by Space-Air-Ground Collaborative Remote Sensing, Participant (2016.07–2019.06)
Teaching: 
2020.09–2021.12: Nanjing University, Teaching Assistant for Undergraduate Course "GIS Technology and Application"
Paper: 
  1. Y. Dong, Y. Liu*, C. Hu, I. R. MacDonald, Y. Lu (2022). Chronic Oiling in Global Oceans. Science 376, 1300–1304. (ESI Highly Cited Paper, JCR-Q1, IF = 63.7 in the publication year)
  2. Y. Dong, Y. Liu*, H. Wang (2025). Oil slick segmentation using deep learning: A framework for real-world applications based on Sentinel-1 imagery. J. Remote Sens. 5, 0613. (JCR-Q1, IF=8.8 in the publication year)
  3. Y. Dong, Y. Liu*, C. Hu, B. Xu (2019). Coral reef geomorphology of the Spratly Islands: A simple method based on time-series of Landsat-8 multi-band inundation maps. ISPRS J. Photogramm. Remote Sens. 157, 137–154. (JCR-Q1，IF=7.3 in the publication year)
  4. W. Zhao, Y. Liu*, P. Liu, H. Wu, Y. Dong (2024). Optimal strategies for wide-area small object detection using deep learning: Practices from a global flying aircraft dataset. Int. J. Appl. Earth Obs. 127, 103648.
  5. Y. Liu*, Y. Pu, X. Hu, Y. Dong, et al. (2023). Global declines of offshore gas flaring inadequate to meet the 2030 goal. Nat. Sustain. 6, 1095–1102.
  6. W. Wu, Y. Liu*, M. Rogers Brendan, W. Xu, Y. Dong, et al. (2022). Monitoring gas flaring in Texas using time-series sentinel-2 MSI and landsat-8 OLI images. Int. J. Appl. Earth Obs. 114, 103075.
  7. W. Xu, Y. Liu*, S. Veraverbeke, W. Wu, Y. Dong, et al. (2021). Active fire dynamics in the Amazon: New perspectives from high-resolution satellite observations. Geophys. Res. Lett. 48, e2021GL093789.
  8. W. Xu, Y. Liu*, W. Wu, Y. Dong, et al. (2020). Proliferation of offshore wind farms in the North Sea and surrounding waters revealed by satellite image time series. Renew. Sust. Energ. Rev. 133, 110167.
  9. Y. Liu*, B. Xu, W. Zhi, C. Hu, Y. Dong, et al. (2020). Space eye on flying aircraft: from Sentinel-2 MSI parallax to hybrid computing. Remote Sens. Environ. 248, 111867.
  10. Y. Liu*, C. Hu, Y. Dong, et al. (2019). Geometric accuracy of remote sensing images over oceans: The use of global offshore platforms. Remote Sens. Environ. 222, 244–266.
  11. Y. Liu*, C. Hu, C. Sun, W. Zhan, S. Sun, B. Xu, Y. Dong (2018). Assessment of offshore oil/gas platform status in the northern Gulf of Mexico using multi-source satellite time-series images. Remote Sens. Environ. 208, 63–81.
Awards: 
National Doctoral Scholarship (2022)
Baosteel Education Award for Outstanding Students (2022)
Top 10 Advances in Marine Science and Technology of China (2022)
Top 10 Advances in Oceanography and Limnology of China (2022)
Annual Excellent Achievement Award of China Remote Sensing, Second Prize (2022)
Asia-Pacific Mathematical Contest in Modeling (APMCM), First Prize (2021)
National Master’s Scholarship (2019)
China Collaborative Innovation Center for South China Sea Studies First-Class Scholarship (2019)
Mathematical Contest in Modeling (MCM), Meritorious Winner (2016)
Academic Conference: 
23rd China Ocean Color Remote Sensing Conference, Poster Presentation (2025.11.06–09, Zhuhai, China)
Ocean Optics XXVII, Poster Lightning Talks & Presentation (2026.9.13–18, Ghent, Belgium)