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Dr William Woodgate
Dr

William Woodgate

Email: 
Phone: 
+61 7 334 67022

Overview

Background

Will is a University of Queensland Amplify Research Fellow and recent ARC DECRA holder (DE190101182). His research aims to bridge scales for remotely sensing dynamic vegetation productivity and health. Will is the Principal Investigator of the CSIRO/TERN-OzFlux Tumbarumba tall forest research site. Now in its 24th year it is one of Australia’s longest continuously running flux tower sites and rated equal second globally for verification of environmental satellite products [1]. Previously Will held the position of Research Scientist at CSIRO, after commencing as a Postdoctoral Research Fellow in 2015.

Will has experience with a range of passive and active remote sensing technologies including combining LiDAR, optical- and thermal-imagery for estimating vegetation structure and function. His current research focuses on scaling observations of sun-induced chlorophyll fluorescence (SIF) from leaf to canopy scales at flux tower sites. He is based in the Earth Observation Research Centre at UQ.

Please also feel free to get in touch with Will to discuss potential collaborations.

[1] Camacho, F., Román, M.O., Nickeson, J., Göttsche, F.-M., Ducanson, L., Sanchez-Azofeifa, G.A., Woodgate, W., Karan, M., Descalzo, L.d.l.M., & Monzo, C.D. (2018). Proposition of CEOS LPV Super Sites for Validation of Biophysical Satellite Products. Paper presented at the ESA LPVE - Land Product Validation and Evolution 2018, ESA/ESRIN, Frascati, Italy. DOI: 10.13140/RG.2.2.10375.50087

Availability

Dr William Woodgate is:
Available for supervision

Works

Search Professor William Woodgate’s works on UQ eSpace

48 works between 2013 and 2024

41 - 48 of 48 works

2016

Journal Article

Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations

Woodgate, William, Armston, John D., Disney, Mathias, Jones, Simon D., Suarez, Lola, Hill, Michael J., Wilkes, Phil and Soto-Berelov, Mariela (2016). Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations. Agricultural and Forest Meteorology, 226-227, 1-12. doi: 10.1016/j.agrformet.2016.05.009

Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations

2016

Journal Article

Vegetation indices for mapping canopy foliar nitrogen in a mixed temperate forest

Wang, Zhihui, Wang, Tiejun, Darvishzadeh, Roshanak, Skidmore, Andrew K., Jones, Simon, Suarez, Lola, Woodgate, William, Heiden, Uta, Heurich, Marco and Hearne, John (2016). Vegetation indices for mapping canopy foliar nitrogen in a mixed temperate forest. Remote Sensing, 8 (6) 491, 491. doi: 10.3390/rs8060491

Vegetation indices for mapping canopy foliar nitrogen in a mixed temperate forest

2015

Journal Article

Using discrete-return airborne laser scanning to quantify number of canopy strata across diverse forest types

Wilkes, Phil, Jones, Simon D., Suarez, Lola, Haywood, Andrew, Mellor, Andrew, Woodgate, William, Soto-Berelov, Mariela and Skidmore, Andrew K. (2015). Using discrete-return airborne laser scanning to quantify number of canopy strata across diverse forest types. Methods in Ecology and Evolution, 7 (6), 700-712. doi: 10.1111/2041-210x.12510

Using discrete-return airborne laser scanning to quantify number of canopy strata across diverse forest types

2015

Journal Article

An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems

Woodgate, William, Disney, Mathias, Armston, John D., Jones, Simon D., Suarez, Lola, Hill, Michael J., Wilkes, Phil, Soto-Berelov, Mariela, Haywood, Andrew and Mellor, Andrew (2015). An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems. Forest Ecology and Management, 358, 303-320. doi: 10.1016/j.foreco.2015.09.030

An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems

2015

Journal Article

Understanding the effects of als pulse density for metric retrieval across diverse forest types

Wilkes, Phil, Jones, Simon D., Suarez, Lola, Haywood, Andrew, Woodgate, William, Soto-Berelov, Mariela, Mellor, Andrew and Skidmore, Andrew K. (2015). Understanding the effects of als pulse density for metric retrieval across diverse forest types. Photogrammetric Engineering and Remote Sensing, 81 (8), 625-635. doi: 10.14358/PERS.81.8.625

Understanding the effects of als pulse density for metric retrieval across diverse forest types

2015

Journal Article

Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems

Woodgate W., Jones S.D., Suarez L., Hill M.J., Armston, John D, Wilkes P., Soto-Berelov M., Haywood, Andrew and Mellor, Andrew (2015). Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems. Agricultural and Forest Meteorology, 205, 83-95. doi: 10.1016/j.agrformet.2015.02.012

Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems

2015

Journal Article

Mapping forest canopy height across large areas by upscaling ALS estimates with freely available satellite data

Wilkes, Phil, Jones, Simon D., Suarez, Lola, Mellor, Andrew, Woodgate, William, Soto-Berelov, Mariela, Haywood, Andrew and Skidmore, Andrew K. (2015). Mapping forest canopy height across large areas by upscaling ALS estimates with freely available satellite data. Remote Sensing, 7 (9), 12563-12587. doi: 10.3390/rs70912563

Mapping forest canopy height across large areas by upscaling ALS estimates with freely available satellite data

2013

Conference Publication

The impact of sensor characteristics for obtaining accurate ground-based measurements of LAI

Woodgate, William, Disney, Mathias, Armston, John, Jones, Simon, Suarez, Lola, Hill, Michael, Wilkes, Phillip, Soto-Berelov, Mariela, Haywood, Andrew and Mellor, Andrew (2013). The impact of sensor characteristics for obtaining accurate ground-based measurements of LAI. 2013 IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 21-26 July 2013. Piscataway, NJ USA: The Institute of Electrical and Electronics Engineers. doi: 10.1109/IGARSS.2013.6723226

The impact of sensor characteristics for obtaining accurate ground-based measurements of LAI

Funding

Current funding

  • 2024 - 2026
    AVILAS: Automating individual tree-scale vegetation structure and aboveground biomass inventory and monitoring at local to regional scales with drone LiDAR and satellite data.
    Innovative Biodiversity Monitoring Program
    Open grant

Past funding

  • 2022 - 2023
    AquaWatch Pathfinders: Earth Observation Sensor Design Simulator Testbed (End to End Simulator) (SmartSat CRC project led by SatDek Pty Ltd)
    SmartSat CRC
    Open grant
  • 2019 - 2023
    Leaf to landscape: Near-instant vegetation growth and productivity rates
    ARC Discovery Early Career Researcher Award
    Open grant

Supervision

Availability

Dr William Woodgate is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Spaceborne LiDAR as a vegetation biomass scaling tool

    Principal Advisor

    Other advisors: Professor Stuart Phinn

  • Doctor Philosophy

    Scaling dynamic plant function from leaf to landscape

    Principal Advisor

    Other advisors: Professor Stuart Phinn

  • Doctor Philosophy

    Spaceborne LiDAR as a vegetation biomass scaling tool

    Principal Advisor

    Other advisors: Professor Stuart Phinn

  • Doctor Philosophy

    Automating individual tree-scale aboveground biomass inventory and monitoring at local to regional scales with drone LiDAR and satellite data.

    Principal Advisor

    Other advisors: Professor Stuart Phinn

  • Doctor Philosophy

    Determining the effects of abiotic stress on crop growth development, and yield under different nitrogen applications using remotely sensed data for cotton and wheat.

    Associate Advisor

    Other advisors: Professor Scott Chapman, Associate Professor Andries Potgieter

Media

Enquiries

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communications@uq.edu.au