• Gibson, R.K., White, L.A., Hislop, S. Nolan, R.H., and Dorrough, J. (2022) 'The post-fire severity index; a new approach to monitoring post-fire recovery with satellite imagery.' Remote Sensing of Environment.
  • Huettermann, S., Jones, S., Soto-berelov, M. and Hislop, S. (2022) 'Intercomparison of Real and Simulated GEDI Observations across Sclerophyll Forests.' Remote Sensing, 14: 1-16.
  • Li, W., Bi, H. Li, Y., Ghaffariyan, M.R. and Ximenes, F. (2022) 'Estimation and Spatial Mapping of Residue Biomass following CTL Harvesting in Pinus radiata Plantations: An Application of Harvester Data Analytics.' Forests, 13(3), p.428.
  • Stone, C. and Hislop, S. (Editors). (2022) 'FWPA Final Report PNC546-2021 - Characterising native forest structure from co-incident terrestrial and airborne LiDAR.' Final Report for FWPA project PNC546-2021, 56pp.
  • Weston, C.J., Di Stefano, J. Hislop, S. and Volkova, L.(2022) 'Effect of recent fuel reduction treatments on wildfire severity in southeast Australian Eucalyptus sieberi forests.' Forest Ecology and Management, 505, 119924.


  • Hislop, S., Haywood, A., Alaibakhsh, M., Nguyen, T.H., Soto-Berelov, M., Jones, S. and Stone, C. (2021) 'A reference data framework for the application of satellite time series to monitor forest disturbance.' Int. J. Appl. Earth Obs. Geoinf., 105, 102636.
  • Iqbal, I., Osborn, J., Stone, C. and Lucieer A. (2021) 'A comparison of ALS and dense photogrammetric point clouds for individual tree detection in Radiata pine plantations.' Remote Sensing, 13: Article 3536.
  • Kong, F., Bi, H., McLean, M. and Li, F. (2021) 'Comparative performances of new and existing indices of crown asymmetry: an evaluation using tall trees of Eucalyptus pilularis (Smith).' Journal of Forestry Research, 32:43-65.
  • Qiao, X., Bi, H., Li, Y., Ximenes, F., Weston, C.J., Volkova, L. and Ghafariyan, M.R. (2021) 'Additive predictions of stand biomass in commercial logs and harvest residues for rotation age Pinus radiata plantations in New South Wales, Australia.' Journal of Forestry Research, pp.1-25.


  • Hislop, S., Haywood, A., Jones, S., Soto-berelov, M., Skidmore, A. and Nguyen, T.H. (2020) 'A satellite data driven approach to monitoring and reporting fire disturbance and recovery across boreal and temperate forests.' Int J Appl Earth Obs Geoinf., 87.
  • Hislop, S., Stone, C., Haywood, A. and Skidmore, A. (2020) 'The effectiveness of fuel reduction burning for wildfire mitigation in sclerophyll forests.' Australian Forestry, 83: 255-264.
  • Nguyen, T.H., Jones, S., Soto-Berelov, M., Haywood, A. and Hislop, S. (2020) 'Landsat time-series for estimating forest aboveground biomass and its dynamics across space and time: A review.' Remote Sensing, 12, 1-25.
  • Nguyen, T.H., Jones, S.D., Soto-Berelov, M., Haywood, A. and Hislop, S. (2020) 'Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data.' Int. J. Appl. Earth Obs. Geoinf., 84: 101952.
  • Hislop, S. (2020) 'Fire severity in harvested areas' (PDF, 1049.9 KB), Department of Primary Industries Report.


  • Dell, M., Stone, C., Osborn, J., Glen, M., McCoull, C., Rimbawanto, A., Tjahyono, B. and Mohammed, C. (2019) 'Detection of necrotic foliage in a young Eucalyptus pellita plantation using unmanned aerial vehicle RGB photography – a demonstration of concept.' Australian Forestry , 87.
  • Iqbal, I., Musk, RA., Osborn, J., Stone, C. and Lucieer, A. (2019) 'A comparison of area-based forest attributes derived from airborne laser scanner small-format and medium-format digital aerial photography.' International Journal of Applied Earth & Observation & Geoinformation, 76: 231-241.
  • Hislop, S., Jones, S., Soto-Berelov, M., Skidmore, A., Haywood, A. and Nguyen, T.H. (2019) 'High fire disturbance in forests leads to longer recovery, but varies by forest type.' Remote Sens. Ecol. Conserv.
  • Hislop, S., Jones, S., Soto-Berelov, M., Skidmore, A., Haywood, A. and Nguyen, T.H. (2019) 'A fusion approach to forest disturbance mapping using time series ensemble techniques.' Remote Sensing of Environment, 221: 188-197.
  • Nguyen, T.H., Jones, S.D., Soto-Berelov, M., Haywood, A. and Hislop, S. (2019) 'Estimate Forest Biomass Dynamics Using Multi-Temporal Lidar And Single-Date Inventory Data' in IGARSS 2019. 2019 IEEE International Geoscience and Remote Sensing Symposium, pp.7338-7341.
  • Pearse, G., Watt, M.S., Dash, J.P., Stone, C. and Caccamo, G. (2019) 'Comparison of models describing forest inventory attributes using standard and voxel-based lidar predictors across a range of pulse densities.' Journal of Applied Earth Observations and Geoinformation, 78: 341-351.
  • Soto-Berelov, M., Haywood, A., Jones, S., Hislop, S. and Nguyen, T.H. (2019) 'Creating a Robust Reference Dataset for Large Area Time Series Disturbance Classification.' Remote Sens. Time Ser. Image Process.


  • Caccamo, G., Iqbal, I.A., Osborn, J., Bi, H., Arkley, K., Melville, G. and Stone, C. (2018) 'Comparing yield estimates derived from LiDAR and aerial photogrammetric point cloud data with cut-to-length harvester data in a Pinus radiata plantation in Tasmania.' Australian Forestry , 81: 131-141.
  • Haywood, A., Thrum, K., Mellor, A. and Stone, C. (2018) 'Monitoring Victorias public forests: implementation of the Victorian Forest Monitoring Program.' Southern Forests- a Journal of Forest Science, 80: 185-194.
  • Hislop, S., Jones, S., Soto-Berelov, M., Skidmore, A., Haywood, A. and Nguyen, T.H. (2018) 'Using Landsat spectral indices in time-series to assess wildfire disturbance and recovery.' Remote Sensing, 10: 1-17.
  • Hislop, S., Jones, S., Soto-Berelov, M., Skidmore, A., Haywood, A. and Nguyen, T.H. (2018) 'A new semi-automatic seamless cloud-free Landsat mosaicing approach tracks forest change over large extents', in IGARSS 2018. 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 4958-4961.
  • Iqbal, I.A., Osborn J., Stone, C., Lucieer, A., Dell, M. and McCoull, C. (2018) 'Evaluating the robustness of point clouds from small format photography over a Pinus radiata plantation.' Australian Forestry, 81: 162-176.
  • Nguyen, T.H., Jones, S., Soto-berelov, M., Haywood, A. and Hislop, S. (2018) 'A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data.' Remote Sensing, 10.
  • Stone, C. and Carnegie, A. (2018) 'The Australian forest industry takes a lead role for reducing the risk from exotic pests and pathogens.' Editorial for Australian Forestry, 81: 1-2.
  • Watt, M. and Stone, C. (2018) 'Optimising remotely acquired dense point cloud data for plantation inventory.' Final Report for FWPA Project PNC377-1516, ISBN: 978-1-925213-81-2.


  • Alaibakhsh, M., Emelyanova, I., Barron, O., Khiadani, M. and Warren, G. (2017) 'Large-scale regional delineation of riparian vegetation in the arid and semi-arid Pilbara region, WA.' Hydrological processes, 31: 4269-4281.
  • Haywood, A. and Stone, C. (2017) 'Estimating large area forest carbon stocks - A pragmatic design based strategy.' Forests, 8: 99.
  • Hislop, S., Jones, S., Soto-Berelov, M., Skidmore, A., Haywood, A. and Nguyen, T.H. (2017) 'Mapping forest disturbance and recovery for forest dynamics over large areas using Landsat time-series remote sensing.' Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 104210W, 10: 1-17.
  • Osborn, J. Dell, M., Stone, C., Iqbal, I., Lacey, M., Lucieer, A. and McCoull, C. (2017) 'Photogrammetry for Forest Inventory - Planning Guidelines.' Report for FWPA Project PNC326-1314, 311pp. ISBN: 978-1-925213-68-3.
  • Stone, C. and Mohammed, C. (2017) 'Application of remote sensing technologies for assessing planted forests damaged by insect pests and fungal pathogens: A Review.' Current Forestry Report, 3: 75-92.
  • Stone, C. and Osborn, J. (2017) 'Deployment and integration of cost-effective high resolution remotely sensed data for the Australian forest industry.' Final Report for FWPA Project PNC326-1314, 311pp. ISBN: 978-1-925213-66-9.


  • Alaibakhsh, M., Emelyanova, I., Barron, O., Sims, N., Khiadani, M. and Mohyeddin, A. (2016) 'Delineation of riparian vegetation from Landsat multi-temporal imagery using PCA.' Hydrological processes, 31: 4269-4281.
  • Kathuria, A., Turner, R., Stone, C., Duque-Lazo, and West, R. (2016) 'Development of an automated individual tree detection model using point cloud LiDAR data for accurate tree counts in a Pinus radiata plantation.' Australian Forestry, 79: 126-8211.
  • Melville, C. and Stone, C. (2016) 'Optimizing nearest neighbour information - a simple, efficient sampling strategy for forestry plot imputation using remotely sensed data.' Australian Forestry, 79: 217-228.
  • Stone, C. Webster, M., Osborn, J. and Iqbal, I. (2016) 'Alternatives to LiDAR-derived Canopy Height Models for softwood plantations: A review and example using photogrammetry.' Australian Forestry, 79: 271-282.