Predicting Sphaeropsis sapinea damage on Pinus radiata stands from CASI-2 using spectral mixture analysis. - Nicholas C. Coops; Nicholas Goodwin; Christine Stone (IGARSS, 2004)

The Performance of Random Forests in an Operational Setting for Large Area Sclerophyll Forest Classification. - Andrew Mellor; Andrew Haywood; Christine Stone; Simon D. Jones (Remote. Sens., 2013)

Sub-Compartment Variation in Tree Height, Stem Diameter and Stocking in a Pinus radiata D. Don Plantation Examined Using Airborne LiDAR Data. - Hanieh Saremi; Lalit Kumar 002; Christine Stone; Gavin Melville; Russell Turner (Remote. Sens., 2014)

The Potential of Sentinel Satellites for Large Area Aboveground Forest Biomass Mapping. - Andrew Haywood; Christine Stone; Simon D. Jones (IGARSS, 2018)

A comparison of area-based forest attributes derived from airborne laser scanner, small-format and medium-format digital aerial photography. - Irfan Akhtar Iqbal; Robert Musk; Jon Osborn; Christine Stone; Arko Lucieer (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Comparison of models describing forest inventory attributes using standard and voxel-based lidar predictors across a range of pulse densities. - Grant D. Pearse; Michael S. Watt; Jonathan P. Dash; Christine Stone; Gabriele Caccamo (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine Learning. - Lloyd Windrim; Mitch Bryson; Michael McLean; Jeremy Randle; Christine Stone (Remote. Sens., 2019)

A reference data framework for the application of satellite time series to monitor forest disturbance. - Samuel Hislop; Andrew Haywood; Masoomeh Alaibakhsh; Trung H. Nguyen; Mariela Soto-Berelov; Simon D. Jones; Christine Stone (Int. J. Appl. Earth Obs. Geoinformation, 2021)

A Comparison of ALS and Dense Photogrammetric Point Clouds for Individual Tree Detection in Radiata Pine Plantations. - Irfan Akhtar Iqbal; Jon Osborn; Christine Stone; Arko Lucieer (Remote. Sens., 2021)