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)

1 - 20 of 76 works

Featured

2019

Journal Article

Mapping the multi-decadal mangrove dynamics of the Australian coastline

Lymburner, Leo, Bunting, Peter, Lucas, Richard, Scarth, Peter, Alam, Imam, Phillips, Claire, Ticehurst, Catherine and Held, Alex (2019). Mapping the multi-decadal mangrove dynamics of the Australian coastline. Remote Sensing of Environment, 238 111185, 111185. doi: 10.1016/j.rse.2019.05.004

Mapping the multi-decadal mangrove dynamics of the Australian coastline

Featured

2019

Journal Article

A structural classification of Australian vegetation using ICESat/GLAS, ALOS PALSAR, and landsat sensor data

Scarth, Peter, Armston, John, Lucas, Richard and Bunting, Peter (2019). A structural classification of Australian vegetation using ICESat/GLAS, ALOS PALSAR, and landsat sensor data. Remote Sensing, 11 (2) 147, 147. doi: 10.3390/rs11020147

A structural classification of Australian vegetation using ICESat/GLAS, ALOS PALSAR, and landsat sensor data

Featured

2018

Journal Article

Relating foliage and crown projective cover in Australian tree stands

Fisher, Adrian, Scarth, Peter, Armston, John and Danaher, Tim (2018). Relating foliage and crown projective cover in Australian tree stands. Agricultural and Forest Meteorology, 259, 39-57. doi: 10.1016/j.agrformet.2018.04.016

Relating foliage and crown projective cover in Australian tree stands

Featured

2017

Conference Publication

Management effects on ground cover "Clumpiness": Scaling from field to Sentinel-2 cover estimates

Scarth, P. and Trevithick, R. (2017). Management effects on ground cover "Clumpiness": Scaling from field to Sentinel-2 cover estimates. 37th International Symposium on Remote Sensing of Environment, ISRSE 2017, Tshwane, South Africa, May 8-12, 2017. GOTTINGEN: International Society for Photogrammetry and Remote Sensing. doi: 10.5194/isprs-archives-XLII-3-W2-183-2017

Management effects on ground cover "Clumpiness": Scaling from field to Sentinel-2 cover estimates

2024

Journal Article

Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning

Ogungbuyi, Michael Gbenga, Guerschman, Juan, Fischer, Andrew M., Crabbe, Richard Azu, Ara, Iffat, Mohammed, Caroline, Scarth, Peter, Tickle, Phil, Whitehead, Jason and Harrison, Matthew Tom (2024). Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning. Journal of Environmental Management, 356 120564, 120564-356. doi: 10.1016/j.jenvman.2024.120564

Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning

2023

Journal Article

Pre-processing training data improves accuracy and generalisability of convolutional neural network based landscape semantic segmentation

Clark, Andrew, Phinn, Stuart and Scarth, Peter (2023). Pre-processing training data improves accuracy and generalisability of convolutional neural network based landscape semantic segmentation. Land, 12 (7) 1268, 1-25. doi: 10.3390/land12071268

Pre-processing training data improves accuracy and generalisability of convolutional neural network based landscape semantic segmentation

2023

Journal Article

Enabling regenerative agriculture using remote sensing and machine learning

Ogungbuyi, Michael Gbenga, Guerschman, Juan P., Fischer, Andrew M., Crabbe, Richard Azu, Mohammed, Caroline, Scarth, Peter, Tickle, Phil, Whitehead, Jason and Harrison, Matthew Tom (2023). Enabling regenerative agriculture using remote sensing and machine learning. Land, 12 (6) 1142, 1-25. doi: 10.3390/land12061142

Enabling regenerative agriculture using remote sensing and machine learning

2023

Journal Article

Optimised U-Net for land use–land cover classification using aerial photography

Clark, Andrew, Phinn, Stuart and Scarth, Peter (2023). Optimised U-Net for land use–land cover classification using aerial photography. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 91 (2), 125-147. doi: 10.1007/s41064-023-00233-3

Optimised U-Net for land use–land cover classification using aerial photography

2022

Journal Article

Green space in health research: an overview of common indicators of greenness

Vilcins, Dwan, Sly, Peter D., Scarth, Peter and Mavoa, Suzanne (2022). Green space in health research: an overview of common indicators of greenness. Reviews on Environmental Health, 39 (2), 1-11. doi: 10.1515/reveh-2022-0083

Green space in health research: an overview of common indicators of greenness

2022

Journal Article

Seeing the locust in the swarm: accounting for spatiotemporal hierarchy improves ecological models of insect populations

Lawton, Douglas, Scarth, Peter, Deveson, Edward, Piou, Cyril, Spessa, Allan, Waters, Cathy and Cease, Arianne J. (2022). Seeing the locust in the swarm: accounting for spatiotemporal hierarchy improves ecological models of insect populations. Ecography, 2022 (2) ECOG12844. doi: 10.1111/ecog.05763

Seeing the locust in the swarm: accounting for spatiotemporal hierarchy improves ecological models of insect populations

2021

Journal Article

Climate-resilient grazing in the pastures of Queensland: an integrated remotely piloted aircraft system and satellite-based deep-learning method for estimating pasture yield

Barnetson, Jason, Phinn, Stuart and Scarth, Peter (2021). Climate-resilient grazing in the pastures of Queensland: an integrated remotely piloted aircraft system and satellite-based deep-learning method for estimating pasture yield. AgriEngineering, 3 (3), 681-703. doi: 10.3390/agriengineering3030044

Climate-resilient grazing in the pastures of Queensland: an integrated remotely piloted aircraft system and satellite-based deep-learning method for estimating pasture yield

2020

Journal Article

Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations

Liao, Zhanmang, Van Dijk, Albert I.J.M., He, Binbin, Larraondo, Pablo Rozas and Scarth, Peter F. (2020). Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations. International Journal of Applied Earth Observation and Geoinformation, 93 102209, 102209. doi: 10.1016/j.jag.2020.102209

Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations

2020

Journal Article

Estimating plant pasture biomass and quality from UAV imaging across Queensland’s rangelands

Barnetson, Jason, Phinn, Stuart and Scarth, Peter (2020). Estimating plant pasture biomass and quality from UAV imaging across Queensland’s rangelands. AgriEngineering, 2 (4), 523-543. doi: 10.3390/agriengineering2040035

Estimating plant pasture biomass and quality from UAV imaging across Queensland’s rangelands

2020

Journal Article

The association of fractional cover, foliage projective cover and biodiversity with birthweight

Vilcins, Dwan, Scarth, Peter, Sly, Peter D., Jagals, Paul, Knibbs, Luke and Baker, Peter (2020). The association of fractional cover, foliage projective cover and biodiversity with birthweight. Science of The Total Environment, 763 143051, 143051. doi: 10.1016/j.scitotenv.2020.143051

The association of fractional cover, foliage projective cover and biodiversity with birthweight

2020

Journal Article

Combining fractional cover images with one-class classifiers enables near real-time monitoring of fallows in the northern grains region of Australia

Zhao, Liya, Waldner, François, Scarth, Peter, Mack, Benjamin and Hochman, Zvi (2020). Combining fractional cover images with one-class classifiers enables near real-time monitoring of fallows in the northern grains region of Australia. Remote Sensing, 12 (8) 1337, 1337. doi: 10.3390/rs12081337

Combining fractional cover images with one-class classifiers enables near real-time monitoring of fallows in the northern grains region of Australia

2020

Journal Article

Cloud and cloud shadow masking for Sentinel-2 using multitemporal images in global area

Candra, Danang Surya, Phinn, Stuart and Scarth, Peter (2020). Cloud and cloud shadow masking for Sentinel-2 using multitemporal images in global area. International Journal of Remote Sensing, 41 (8), 2877-2904. doi: 10.1080/01431161.2019.1697006

Cloud and cloud shadow masking for Sentinel-2 using multitemporal images in global area

2020

Journal Article

Modelling canopy gap probability, foliage projective cover and crown projective cover from airborne lidar metrics in Australian forests and woodlands

Fisher, Adrian, Armston, John, Goodwin, Nicholas and Scarth, Peter (2020). Modelling canopy gap probability, foliage projective cover and crown projective cover from airborne lidar metrics in Australian forests and woodlands. Remote Sensing of Environment, 237 111520, 111520. doi: 10.1016/j.rse.2019.111520

Modelling canopy gap probability, foliage projective cover and crown projective cover from airborne lidar metrics in Australian forests and woodlands

2019

Journal Article

Mapping woody vegetation cover across Australia's arid rangelands: utilising a machine-learning classification and low-cost Remotely Piloted Aircraft System

Barnetson, J., Phinn, S. and Scarth, P. (2019). Mapping woody vegetation cover across Australia's arid rangelands: utilising a machine-learning classification and low-cost Remotely Piloted Aircraft System. International Journal of Applied Earth Observation and Geoinformation, 83 101909, 101909. doi: 10.1016/j.jag.2019.101909

Mapping woody vegetation cover across Australia's arid rangelands: utilising a machine-learning classification and low-cost Remotely Piloted Aircraft System

2019

Journal Article

Automated cloud and cloud-shadow masking for landsat 8 using multitemporal images in a variety of environments

Candra, Danang Surya, Phinn, Stuart and Scarth, Peter (2019). Automated cloud and cloud-shadow masking for landsat 8 using multitemporal images in a variety of environments. Remote Sensing, 11 (17) 2060, 2060. doi: 10.3390/rs11172060

Automated cloud and cloud-shadow masking for landsat 8 using multitemporal images in a variety of environments

2019

Journal Article

Multispectral, aerial disease detection for myrtle rust (Austropuccinia psidii) on a lemon myrtle plantation

Heim, René, Wright, Ian, Scarth, Peter, Carnegie, Angus, Taylor, Dominique and Oldeland, Jens (2019). Multispectral, aerial disease detection for myrtle rust (Austropuccinia psidii) on a lemon myrtle plantation. Drones, 3 (1) 25, 25-14. doi: 10.3390/drones3010025

Multispectral, aerial disease detection for myrtle rust (Austropuccinia psidii) on a lemon myrtle plantation

Availability

Dr Peter Scarth is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

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