🧑‍🎓 About me

Hi, I’m Chunyu Zhao. 👋
I am a Research Assistant in Dr. Jing Cheng’s research group at the College of Environmental Sciences and Engineering, Peking University. My research lies at the intersection of remote sensing, computer vision, and Earth science.

I received my M.Eng. in Remote Sensing Science and Technology from Beijing Normal University (BNU) in June 2026. During my master’s studies, I was supervised by Prof. Zhiqiang Xiao as a member of the MUSES team.

I obtained my B.Eng. in Resources Prospecting Engineering, with a specialization in solid mineral exploration, from the China University of Geosciences (Beijing) (CUGB) in June 2023. I graduated with the distinction of Outstanding Graduate, and completed my undergraduate thesis under the supervision of Prof. Gongwen Wang.

My research interests include:

  • Remote sensing and computer vision, with a focus on image restoration, super-resolution, and multimodal data fusion
  • Spatiotemporal reconstruction of remote sensing time-series data, including biophysical variables and vegetation indices such as LAI and NDVI
  • Deep learning for geoscience and Earth observation applications, particularly alteration mineral mapping

🔥 News

  • 📢📢 [Jul. 2026] 📢📢 Joined the research group of Dr. Jing Cheng at the College of Environmental Sciences and Engineering, Peking University, as a Research Assistant.

  • [May 2026] Successfully passed the double-blind review and final defense of my master’s thesis, Temporal Scale Extension of LAI Products Derived from Satellite Observations Using Deep Neural Networks.

  • [Nov. 2025] Our paper, An Enhanced CycleGAN to Derive Temporally Continuous NDVI from Sentinel-1 SAR Images, was published in Remote Sensing. [See Publication]

  • [Sept. 2025] My first paper as first author, Alteration Mineral Information Extraction Based on Image Super-Resolution Technology was published in International Journal of Applied Earth Observation and Geoinformation.
    [See Publication]

  • [Aug. 2025] Presented Time-Scale Extension Algorithm of MUSES LAI Products Using Image Super-Resolution at IGARSS 2025, Brisbane, Australia.
    [See Talk]

  • [Apr. 2025] Received IEEE GRSS Travel Support (1,550 USD) to attend IGARSS 2025 in Brisbane, Australia.