STONE, Christine

Research interests

  • Operational deployment of Airborne Laser Scanning (LiDAR) derived information into softwood resource systems.
  • Deployment of cost-effective, high spatial resolution, remotely sensed data for the Australian forest industry.
  • Application of remotely sensed and bioclimatic data for the spatial prediction of forest/plantation vulnerability to damaging processes and agents.
  • Improved methodologies for the assessment and monitoring of forest and plantation health and condition.

Background

Dr Christine Stone is a Principal Research Scientist in the Forests Management Program, NSW Department of primary Industries. She is also Leader of the Forest Science group within the Forest Management Program. The Forest Science group undertakes research and development in three core areas: i) Forest ecology and sustainability; ii) Forest resource assessment and health and iii) Forest carbon, bioenergy and biofuels.

Christine has research experience with most of the commercially damaging agents and processes affecting commercial plantations and forests in NSW. She is recognised as a national authority in the application of remote sensing technologies for assessment of forest inventory and health and currently manages two national research programs funded by the Forests and Wood products Australia.

Qualifications

  • B. Agric. Sci. – University of Tasmania, 1980
  • MSc. (Applied Entomology) –Imperial College, London, 1982
  • PhD (Forest Entomology) – Macquarie University, 1990

Current and recently completed projects

  • Operational deployment of LiDAR derived information into softwood resource systems (FWPA project concludes 1 November 2014).
  • Deployment and integration of cost-effective, high spatial resolution, remotely sensed data for the Australian forestry industry (FWPA project commencing 1 July 2014)
  • Preparation of the Plantation Forest Biosecurity manual (FWPA project commencing 1 July 2014))

Recent publications

Eyles, A., Robinson, A.P., Smith, D., Carnegie, A., Smith, I., Stone C., & Mohammed, C. (2011) Quantifying stem growth loss at the tree-level in a Pinus radiata plantation to repeated attack by the aphid, Essigella californica. Forest Ecology & Management: 261: 120-127

Haywood, A. and Stone, C. (2011) Mapping eucalypt eucalypt forest susceptible to dieback associated with bell miners (Manorina melanophys) using laser scanning, SPOT 5 and ancillary topographical data. Ecological Modelling 222: 1174-1184.

Haywood, A. and Stone, C. (2011) Using airborne laser scanning data to estimate structural attributes of natural eucalypt regrowth forests. Australian Forestry 74: 4-12.

Haywood and Stone, C. (2011) Semi-automating the stand delineation process in mapping natural eucalypt forests. Australian Forestry 74: 13-22.

Stone, C., Turner, R., Kathuria, A., Carney, C., Worsley, P., Penman, T. and Watt, D. (2011) Adoption of new airborne technologies for improving efficiencies and accuracy of estimating standing volume and yield modelling in Pinus radiata plantations (PNC058-0809). Final Report for Forest & Wood Products Australia. 80 Pages.

Stone, C., Penman, T. & Turner, R. (2011) Managing drought-induced mortality in Pinus radiata plantations under climate change conditions: A local approach using digital camera data. Forest Ecology and Management 265:94-101.

Stone, C., Penman, T. & Turner, R. (2011) Determining an optimal model for processing lidar data at the plot level: Results for a Pinus radiata plantation in New South Wales, Australia. New Zealand Journal of Forestry Science 41:191-205.

Mohammed, C., Glen, M., Walshe, T., Wardlaw, T., Stone, C., Beadle, C. & Lawson, S. (2011) An audit of forest biosecurity arrangements and preparedness in Australia. Final Report PNC 159-0910 for Forest & Wood Products Australia. 109 pp.

Evans, B., Lyon, T.J., Barber, P.A., Stone,C. and Hardy, G. (2012) Dieback classification modelling using high resolution digital multi-spectral imagery and in situ assessments of crown condition. Remote Sensing Letters 3:541-550.

Stone, C. (2012) Book Review. Forest Entomology: A Global Perspective by W.M. Ciesla. Australian Journal of Entomology 51: 141-142.
Evans, B., Lyons, T., Barber, P., Stone, C., & Hardy, G. (2012) Enhancing a Eucalypt Crown Condition Indicator driven by high spatial and spectral resolution remote sensing imagery. Journal of Applied Remote Sensing 6(1); doi: 101117/1JRS6.03605, 15pp.

Stone, C., Melville, G., Carnegie, A., Smith, D., Eyles, A. & Nagel, M. (2013) Crown damage by the aphid Essigella californica in a Pinus radiata plantation in southern New South Wales: A discussion on causality and related management issues. Australian Forestry 76: 16-24.

Stone, C., Carnegie, A., Melville, G., Smith, D. & Nagel, M. (2013) Aerial mapping canopy damage by the aphid Essigella californica in a Pinus radiata plantation in southern New South Wales: What are the Challenges ? Australian Forestry 76: 101-109.

Evans, B., Stone, C. & Barber, P. (2013) Linking a decade of forest decline in the southwest of Western Australia to bioclimatic change. Australian Forestry .
Mellor, A., Haywood, A., Stone, C. & Jones, S. (2013) The performance of Random Forests in an operational setting for large area sclerophyll forest classification. Remote Sensing 5: 2838-2856.

Saremi, H., Kumar, L., Turner, R. & Stone, C. (2014) Airborne LiDAR derived canopy height model reveals significant difference in radiata pine (Pinus radiata D.Don) heights based on slope and aspect of sites. Trees 28: 733-744

Saremi, H., Kumar, L., Turner, R., Stone, C. & Melville, G. (2014) Impact of local slope and aspect assessed from LiDAR records on tree diameter in radiate pine (Pinus radiata D.Don) plantations. Annals of Forest Science DOI 10.1007/s13595-014-0374-4.

Professional associations and activities

Member Australian Entomological Society and Australian Ecological Society

Fields of research

Keyword/phrase list of research interests

  • Remote sensing of forests and plantations
  • Airborne laser scanning, LiDAR, UAVs, photogrammetry
  • Forest health and condition