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Personal profile

Office Phone

+1(217) 333-1880

Personal profile

My research interests lie at the confluence of remote sensing, GIScience, and biogeography. The broad goal of my research is to develop advanced remote sensing frameworks to understand the interactions among land cover dynamics, hydrologic regimes, climate changes, and human activities. In today’s big data era, large volumes of remotely sensed information open up new paradigms for exploring these interactions. To date, my research has mostly focused on advancing time series of remote sensing at multiple spatial, temporal and spectral scales, to better understand vegetation phenological dynamics in response to climate and environmental changes. I am also interested in building advanced computational solutions to model large-scale agricultural and forest system dynamics under various natural and anthropogenic disturbances by integrating remote sensing, process-based models, deep learning, and high performance computing.

Education

  • Ph.D., Geography, State University of New York at Buffalo
  • M.A., Biostatistics, State University of New York at Buffalo
  • B.S., Beijing Normal University

Teaching

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Research Output

A summary of the special issue on remote sensing of land change science with Google earth engine

Wang, L., Diao, C., Xian, G., Yin, D., Lu, Y., Zou, S. & Erickson, T. A., Oct 2020, In : Remote Sensing of Environment. 248, 112002.

Research output: Contribution to journalEditorial

  • Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion

    Tian, J., Wang, L., Yin, D., Li, X., Diao, C., Gong, H., Shi, C., Menenti, M., Ge, Y., Nie, S., Ou, Y., Song, X. & Liu, X., Jun 1 2020, In : Remote Sensing of Environment. 242, 111745.

    Research output: Contribution to journalArticle

    Open Access
  • Cloud detection in remote sensing images based on multiscale features-convolutional neural network

    Shao, Z., Pan, Y., Diao, C. & Cai, J., Jun 2019, In : IEEE Transactions on Geoscience and Remote Sensing. 57, 6, p. 4062-4076 15 p., 8625476.

    Research output: Contribution to journalArticle