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. & Slope Estimation from ICESat/GLAS. Remote Sensing 6(10), 10051-10069.
  2. 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.
  3. The uncertainty of biomass estimates from modeled ICESat-2 returns across a boreal forest gradient. Remote Sensing of Environment 158, 95-109.
  4. Slope Estimation from ICESat/GLAS. Remote Sensing 6(10), 10051-10069.

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Supervision

  • GREEN GAP: GREENhouse Gas flux uPscaling - improved understanding of key ecosystem processes using remote sensing and ground-based measurements. (current)

    Student name:
    PhD
    Other supervisor: Prof Natascha Kljun
    Other supervisor: Dr Xianghua Xie
    Other supervisor: Dr Rita Borgo
  • Remote Sensing to Assess and Monitor Forest Condition (current)

    Student name:
    PhD
    Other supervisor: Prof Peter North