Dr Jacqueline Rosette
Royal Society Research Fellow
Geography
Telephone: (01792) 602810
Room: Academic Office - 246A
Second Floor
Wallace Building
Singleton Campus

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

Publications

  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 (Ed.), Remote Sensing of Biomass: Principles and Applications InTech
  5. Rosette, J. Stemwood Volume Estimates for a Mixed Temperate Forest using Satellite LiDAR Journal of Forest Planning 13 214

See more...

Supervision

  • Remote Sensing to Assess and Monitor Forest Condition (current)

    Student name:
    PhD
    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)

    Student name:
    PhD
    Other supervisor: Prof Peter North