Dr Peter Scarth
Dr

Peter Scarth

Email: 
Mobile: 
0439744397

Background

Broad remote sensing skills across terrestrial and aquatic environments. Working to democratise spatial data access and use. Happiest when producing and delivering automated, operational and validated national and global scale products that can be used by scientists, policy and the public.

Availability

Dr Peter Scarth is:
Available for supervision
Media expert

Fields of research

Earth Sciences Engineering Environmental Sciences Geomatic engineering Mathematical Sciences Numerical and computational mathematics Optimisation Photogrammetry and remote sensing Physical geography and environmental geoscience

Qualifications

  • Bachelor of Science, The University of Queensland
  • Bachelor (Honours), The University of Queensland
  • Doctor of Philosophy, The University of Queensland

Research interests

  • Remote Sensing

  • Big spatial and small messy field and ecological data.

Research impacts

Peter works with a cross disciplinary team team at the Joint Remote Sensing Research Centre (JRSRP) to develop data management systems and mathematical models that measure and map both major and more subtle changes in Australia's vegetation using large earth observation data sets linked to vegetation field data systems. By building demonstrated value on our collective ecosystem data and engaging with stakeholders across academia, government and industry he aims to maintain and extend our data holdings and build "long science" to address wicked problems in the land management space. Peter also works within TERN/Auscover to democratise management and access to spatial data and promote uptake of products by researchers, policy and the public. As an application developer he has a particular interest in delivering difficult to use data in a ways that tell a compelling stories.

Search Professor Peter Scarth’s works on UQ eSpace

76 works between 1999 and 2024
All (76) Journal Article (42) Book Chapter (3) Conference Publication (29) Other Outputs (2)

21 - 40 of 76 works

2019

Conference Publication

Watching the grasses grow : using UAVs and satellites to monitor rangelands species composition

Dekkers, M. H. A., Quigley, S. P., Scarth, P., O'Reagain, P. and Poppi, D. P. (2019). Watching the grasses grow : using UAVs and satellites to monitor rangelands species composition. Northern Australian Beef Research Update Conference, Brisbane, Australia, 19-22 August 2019.

Watching the grasses grow : using UAVs and satellites to monitor rangelands species composition

2019

Journal Article

VegMachine.net. online land cover analysis for the Australian rangelands

Beutel, Terrence S., Trevithick, Rebecca, Scarth, Peter and Tindall, Dan (2019). VegMachine.net. online land cover analysis for the Australian rangelands. Rangeland Journal, 41 (4), 355-362. doi: 10.1071/RJ19013

VegMachine.net. online land cover analysis for the Australian rangelands

2018

Journal Article

Measuring plot scale woodland structure using terrestrial laser scanning

Muir, Jasmine, Phinn, Stuart, Eyre, Teresa and Scarth, Peter (2018). Measuring plot scale woodland structure using terrestrial laser scanning. Remote Sensing in Ecology and Conservation, 4 (4), 320-338. doi: 10.1002/rse2.82

Measuring plot scale woodland structure using terrestrial laser scanning

2018

Journal Article

Modelling LiDAR derived tree canopy height from Landsat TM, ETM plus and OLI satellite imagery-A machine learning approach

Staben, Grant, Lucieer, Arko and Scarth, Peter (2018). Modelling LiDAR derived tree canopy height from Landsat TM, ETM plus and OLI satellite imagery-A machine learning approach. International Journal of Applied Earth Observation and Geoinformation, 73, 666-681. doi: 10.1016/j.jag.2018.08.013

Modelling LiDAR derived tree canopy height from Landsat TM, ETM plus and OLI satellite imagery-A machine learning approach

2017

Journal Article

Estimating aboveground woody biomass change in Kalahari woodland: combining field, radar, and optical data sets

Wingate, Vladimir R., Phinn, Stuart R., Kuhn, Nikolaus and Scarth, Peter (2017). Estimating aboveground woody biomass change in Kalahari woodland: combining field, radar, and optical data sets. International Journal of Remote Sensing, 39 (2), 577-606. doi: 10.1080/01431161.2017.1390271

Estimating aboveground woody biomass change in Kalahari woodland: combining field, radar, and optical data sets

2017

Journal Article

An accuracy assessment of derived digital elevation models from terrestrial laser scanning in a sub-tropical forested environment

Muir, Jasmine, Goodwin, Nicholas, Armston, John, Phinn, Stuart and Scarth, Peter (2017). An accuracy assessment of derived digital elevation models from terrestrial laser scanning in a sub-tropical forested environment. Remote Sensing, 9 (8) 843, 843. doi: 10.3390/rs9080843

An accuracy assessment of derived digital elevation models from terrestrial laser scanning in a sub-tropical forested environment

2017

Journal Article

A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series

Gill, Tony, Johansen, Kasper, Phinn, Stuart, Trevithick, Rebecca, Scarth, Peter and Armston, John (2017). A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series. International Journal of Remote Sensing, 38 (3), 679-705. doi: 10.1080/01431161.2016.1266112

A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series

2017

Conference Publication

Assessing landsat fractional ground-cover time series across Australia's arid rangelands: Separating grazing impacts from climate variability

Barnetson, J., Phinn, S., Scarth, P. and Denham, R. (2017). Assessing landsat fractional ground-cover time series across Australia's arid rangelands: Separating grazing impacts from climate variability. 37th International Symposium on Remote Sensing of Environment, ISRSE 2017, Tshwane, South Africa, May 8-12, 2017. Goettingen, Germany: Copernicus GmbH. doi: 10.5194/isprs-archives-XLII-3-W2-15-2017

Assessing landsat fractional ground-cover time series across Australia's arid rangelands: Separating grazing impacts from climate variability

2017

Conference Publication

Cloud and cloud shadow removal of landsat 8 images using multi-temporal cloud removal method

Candra, Danang Surya, Phinn, Stuart and Scarth, Peter (2017). Cloud and cloud shadow removal of landsat 8 images using multi-temporal cloud removal method. 6th International Conference on Agro-Geoinformatics, Fairfax, VA, United States, 7-10 August 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/Agro-Geoinformatics.2017.8047007

Cloud and cloud shadow removal of landsat 8 images using multi-temporal cloud removal method

2016

Journal Article

Obtaining biophysical measurements of woody vegetation from high resolution digital aerial photography in tropical and arid environments: Northern Territory, Australia

Staben, G. W., Lucieer, A., Evans, K. G., Scarth, P. and Cook, G. D. (2016). Obtaining biophysical measurements of woody vegetation from high resolution digital aerial photography in tropical and arid environments: Northern Territory, Australia. International Journal of Applied Earth Observation and Geoinformation, 52, 204-220. doi: 10.1016/j.jag.2016.06.011

Obtaining biophysical measurements of woody vegetation from high resolution digital aerial photography in tropical and arid environments: Northern Territory, Australia

2016

Conference Publication

Fractional vegetation cover of East African wetlands observed on ground and from space

Schmidt, M., Amler, E., Guerschman, J. P., Scarth, P., Behn, K. and Thonfeld, F. (2016). Fractional vegetation cover of East African wetlands observed on ground and from space. Living Planet Symposium 2016, Prague, Czech Republic, 9-13 May 2016. Frascati, Italy: European Space Agency.

Fractional vegetation cover of East African wetlands observed on ground and from space

2016

Conference Publication

Cloud and cloud shadow masking using multi-temporal cloud masking algorithm in tropical environmental

Candra, D. S., Phinn, S. and Scarth, P. (2016). Cloud and cloud shadow masking using multi-temporal cloud masking algorithm in tropical environmental. 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016, Prague, Czech Republic, 12 - 19 July 2016. London, United Kingdom: International Society for Photogrammetry and Remote Sensing. doi: 10.5194/isprsarchives-XLI-B2-95-2016

Cloud and cloud shadow masking using multi-temporal cloud masking algorithm in tropical environmental

2015

Journal Article

Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data

Guerschman, Juan P., Scarth, Peter F., McVicar, Tim R., Renzullo, Luigi J., Malthus, Tim J., Stewart, Jane B., Rickards, Jasmine E. and Trevithick, Rebecca (2015). Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data. Remote Sensing of Environment, 161, 12-26. doi: 10.1016/j.rse.2015.01.021

Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data

2015

Conference Publication

Operational application of the landsat timeseries to address large area landcover understanding

Scarth, P., Armston, J., Flood, N., Denham, R., Collett, L., Watson, F., Trevithick, B., Muir, J., Goodwin, N., Tindall, D. and Phinn, S. (2015). Operational application of the landsat timeseries to address large area landcover understanding. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Geospatial Week 2015, La Grande Motte, France, 28 September - 3 October 2015. Goettingen, Germany: Copernicus GmbH. doi: 10.5194/isprsarchives-XL-3-W3-571-2015

Operational application of the landsat timeseries to address large area landcover understanding

2015

Conference Publication

Contribution of ALOS PALSAR data to forest characterization and monitoring in Australia

Lucas, Richard, Armston, John, Scarth, Peter and Bunting, Peter (2015). Contribution of ALOS PALSAR data to forest characterization and monitoring in Australia. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 26-31 July 2015. New York, NY United States: IEEE. doi: 10.1109/IGARSS.2015.7326352

Contribution of ALOS PALSAR data to forest characterization and monitoring in Australia

2014

Journal Article

Remotely-sensed analysis of ground-cover change in Queensland's rangelands, 1988-2005

Bastin, G., Denham, R., Scarth, P., Sparrow, A. and Chewings, V. (2014). Remotely-sensed analysis of ground-cover change in Queensland's rangelands, 1988-2005. Rangeland Journal, 36 (2), 191-204. doi: 10.1071/RJ13127

Remotely-sensed analysis of ground-cover change in Queensland's rangelands, 1988-2005

2014

Conference Publication

Landsat based woody vegetation change detection using the Google Earth Engine

Johansen, Kasper, Peter Francis Scarth, Phinn, Stuart R. and Martin Taylor (2014). Landsat based woody vegetation change detection using the Google Earth Engine. 2014 ForestSat Conference, Riva del Garda, Italy, 4 - 7 November 2014.

Landsat based woody vegetation change detection using the Google Earth Engine

2014

Journal Article

Bringing an ecological view of change to landsat-based remote sensing

Kennedy, Robert E., Andrefouet, Serge, Cohen, Warren B., Gomez, Cristina, Griffiths, Patrick, Hais, Martin, Healey, Sean P., Helmer, Eileen H., Hostert, Patrick, Lyons, Mitchell B., Meigs, Garrett W., Pflugmacher, Dirk, Phinn, Stuart R., Powell, Scott L., Scarth, Peter, Sen, Susmita, Schroeder, Todd A., Schneider, Annemarie, Sonnenschein, Ruth, Vogelmann, James E., Wulder, Michael A. and Zhu, Zhe (2014). Bringing an ecological view of change to landsat-based remote sensing. Frontiers in Ecology and the Environment, 12 (6), 339-346. doi: 10.1890/130066

Bringing an ecological view of change to landsat-based remote sensing

2013

Journal Article

Direct retrieval of canopy gap probability using airborne waveform lidar

Armston, John, Disney, Mathias, Lewis, Philip, Scarth, Peter, Phinn, Stuart, Lucas, Richard, Bunting, Peter and Goodwin, Nicholas (2013). Direct retrieval of canopy gap probability using airborne waveform lidar. Remote Sensing of Environment, 134, 24-38. doi: 10.1016/j.rse.2013.02.021

Direct retrieval of canopy gap probability using airborne waveform lidar

2013

Journal Article

Reclaiming degraded rainforest: a spatial evaluation of gains and losses in subtropical eastern Australia to inform future investment in restoration

Shoo, Luke P., Scarth, Peter, Schmidt, Susanne and Wilson, Kerrie A. (2013). Reclaiming degraded rainforest: a spatial evaluation of gains and losses in subtropical eastern Australia to inform future investment in restoration. Restoration Ecology, 21 (4), 481-489. doi: 10.1111/j.1526-100X.2012.00916.x

Reclaiming degraded rainforest: a spatial evaluation of gains and losses in subtropical eastern Australia to inform future investment in restoration

Availability

Dr Peter Scarth is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Improving clearing and regrowth detection in Woodlands using Imaging Radar

    Associate Advisor

    Other advisors: Professor Stuart Phinn

  • Doctor Philosophy

    Patch grazing: dynamics of pasture ecology and diet selection in the tropical savannah rangelands

    Associate Advisor

Completed supervision

Enquiries

Contact Dr Peter Scarth directly for media enquiries about:

  • Big Data
  • change detection
  • Grazing
  • Ground Cover
  • Laser Scanning
  • Lidar
  • rangeland
  • Remote Sensing
  • Satellite Images
  • Spatial Data
  • vegetation

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au