Sizhuo Li

• Presentation
• CV
• Research outputs

Primary fields of research

I work in the interdisciplinary field of deep learning and remote sensing and I am interested in applying advanced neural networks to popular remote sensing problems, including intelligent forest management and carbon stock estimation. Development and adaptation of deep learning methods are the main focuses of my studies.  

Current research

An automatic and scalable tree inventory framework based on UNet, enabling individual crown segmentation, tree counting, and tree height estimation at the country scale. 

Fields of interest

Deep learning, remote sensing