Areas of Expertise

  • The use of large and small footprint LiDAR sensors for forest parameter assessment and inventory
  • LiDAR simulation using the FLIGHT radiative transfer model to explore the effect of sensor specifications and surface characteristics on the ability to estimate vegetation parameters
  • Investigating the prospects of the emerging technology of single-photon/photon-counting LiDAR for vegetation analysis from both airborne and spaceborne platforms


  1. Iglhaut, J., Cabo, C., Puliti, S., Piermattei, L., O’Connor, J., & Rosette, J. Structure from Motion Photogrammetry in Forestry: a Review. Current Forestry Reports, 5(3), 155-168.
  2. Rosette, J., Cook, B., Nelson, R., Chengquan Huang, ., Masek, J., Tucker, C., Guoqing Sun, ., Wenli Huang, ., Montesano, P., Rubio-Gil, J., & Ranson, J. Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative. IEEE Geoscience and Remote Sensing Letters, 12(7), 1511-1515.
  3. Duncanson, L., Dubayah, R., Cook, B., Rosette, J., Parker, G., & Rosette, J. The importance of spatial detail: Assessing the utility of individual crown information and scaling approaches for lidar-based biomass density estimation. Remote Sensing of Environment, 168, 102-112.
  4. Rosette, J. Lidar Remote Sensing for Biomass Assessment. Remote Sensing of Biomass: Principles and ApplicationsInTech
  5. Rosette, J. Stemwood Volume Estimates for a Mixed Temperate Forest using Satellite LiDAR. Journal of Forest Planning, 13-214.

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  • UAV Remote Sensing For The Detection Of Oak Decline (current)

    Other supervisor: Prof Peter North
  • Quantitative estimation of vegetation traits and temporal dynamics using 3-D radiative transfer models, high-resolution hyperspectral images and satellite imagery (current)

    Other supervisor: Prof Peter North
  • Climate-related tree health and their role in the carbon balance (current)

    Other supervisor: Dr Sietse Los