I am an Assistant Professor in Land Cover and Land Use Dynamics at the Institute for Biodiversity and Ecosystem Dynamics (IBED) at the University of Amsterdam. My work focuses on combining various Earth Observation datasets (e.g. satellite, LiDAR, and/or RADAR) with advanced spatio-temporal modelling, informatics, and artificial intelligence to gain new insights into the impact of land cover and land use change on biodiversity, ecosystem services, and animal habitats. Specifically, my research interests lie in 3D ecosystem structure features derived from LiDAR, species-specific traits derived from multi-source remote sensing data (e.g. hyperspectral, multispectral, LiDAR), and biodiversity monitoring using machine learning at a national or continental scale. 

2021

• Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Stefanie Holzwarth, Uta Heiden, and Marco Heurich. 2021. "Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest."  International Journal of Applied Earth Observation and Geoinformation 98:102311. doi: https://doi.org/10.1016/j.jag.2021.102311.

2020

• Yifang Shi (2020). Remotely sensing the species of individual trees. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://library.itc.utwente.nl/papers_2020/phd/shi.pdf
• Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Marco Heurich (2020). Improving LiDAR-based tree species mapping in Central European mixed forests using multi-temporal digital aerial colour-infrared photographs. International Journal of Applied Earth Observation and Geoinformation, 84, 101970. https://doi.org/10.1016/j.jag.2019.101970

2018

• Yifang Shi, Andrew K. Skidmore, Tiejun Wang, Stefanie Holzwarth, Uta Heiden, Nicole Pinnel, Xi Zhu, Marco Heurich (2018). Tree species classification using plant functional traits from LiDAR and hyperspectral data. International Journal of Applied Earth Observation and Geoinformation, 73, 207-219.  https://doi.org/10.1016/j.jag.2018.06.018
• Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Marco Heurich (2018). Important LiDAR metrics for discriminating forest tree species in Central Europe. ISPRS Journal of Photogrammetry and Remote Sensing, 137, 163-174. https://doi.org/10.1016/j.isprsjprs.2018.02.002
• Jing Liu, Andrew K. Skidmore, Simon Jones, Tiejun Wang, Marco Heurich, Xi Zhu, Yifang Shi (2018). Large off-nadir scan angle of airborne LiDAR can severely affect the estimates of forest structure metrics. ISPRS Journal of Photogrammetry and Remote Sensing, 136,13-25. 
  https://doi.org/10.1016/j.isprsjprs.2017.12.004
• Xi Zhu, Andrew K. Skidmore, Tiejun Wang, Jing Liu, Roshanak Darvishzadeh, Yifang Shi, Joe Premier, Marco Heurich (2018). Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning. Agricultural and Forest Meteorology, 263, 276-286. https://doi.org/10.1016/j.agrformet.2018.08.026
• Xi Zhu, Andrew K. Skidmore, Roshanak Darvishzadeh, K. Olaf Niemann, Jing Liu, Yifang Shi, Tiejun Wang (2018). Foliar and woody materials discriminated using terrestrial LiDAR in a mixed natural forest. International Journal of Applied Earth Observation and Geoinformation, 64, 43-50. https://doi.org/10.1016/j.jag.2017.09.004