Christine Stone

发表

Spectral studies of plantation eucalypts to develop remote sensing tools for forest helath detection, with reference to fungal pathogens

Caroline Mohammed, Karen M. Barry, Stephen Ridge, 2008, ICPP 2008.

A comparison of area-based forest attributes derived from airborne laser scanner, small-format and medium-format digital aerial photography

Arko Lucieer, Robert Musk, Christine Stone, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Comparison of models describing forest inventory attributes using standard and voxel-based lidar predictors across a range of pulse densities

Jonathan P. Dash, Grant D. Pearse, Michael S. Watt, 2019, Int. J. Appl. Earth Obs. Geoinformation.

The Potential of Sentinel Satellites for Large Area Aboveground Forest Biomass Mapping

Simon D. Jones, Christine Stone, Andrew Haywood, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

An audit of forest biosecurity arrangements and preparedness in Australia.

Tim Wardlaw, Simon A. Lawson, Caroline Mohammed, 2011 .

Predicting Sphaeropsis sapinea damage on Pinus radiata stands from CASI-2 using spectral mixture analysis

Nicholas C. Coops, Christine Stone, Nicholas Goodwin, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Photogrammetry for Forest Inventory: Planning Guidelines

Arko Lucieer, Jon Osborn, Christine Stone, 2017 .

Payment for high outlier patients: which are the problem DRGs?

Christine Stone, Terri Jackson, 1998 .

Optimizing remotely acquired, dense point cloud data for plantation inventory. M Watt, C Stone ( eds )

Arko Lucieer, Paul Turner, Winyu Chinthammit, 2018 .

Integrating plantation health surveillance and wood resource inventory systems using remote sensing

Russell Turner, Jan Verbesselt, Christine Stone, 2008 .

Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine Learning

Jeremy Randle, Lloyd Windrim, Mitch Bryson, 2019, Remote. Sens..

The Performance of Random Forests in an Operational Setting for Large Area Sclerophyll Forest Classification

Simon D. Jones, Andrew Mellor, Christine Stone, 2013, Remote. Sens..

Development of an automated individual tree detection model using point cloud LiDAR data for accurate tree counts in a Pinus radiata plantation

Russell Turner, Christine Stone, Amrit Kathuria, 2016 .

Sub-Compartment Variation in Tree Height, Stem Diameter and Stocking in a Pinus radiata D. Don Plantation Examined Using Airborne LiDAR Data

Lalit Kumar, Russell Turner, Christine Stone, 2014, Remote. Sens..

Enhancing a eucalypt crown condition indicator driven by high spatial and spectral resolution remote sensing imagery

Paul A. Barber, T. J. Lyons, Christine Stone, 2012 .

A Comparison of ALS and Dense Photogrammetric Point Clouds for Individual Tree Detection in Radiata Pine Plantations

Arko Lucieer, Christine Stone, Jon Osborn, 2021, Remote. Sens..

A reference data framework for the application of satellite time series to monitor forest disturbance

Simon D. Jones, Mariela Soto-Berelov, Christine Stone, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Spectral reflectance characteristics of Pinus radiata needles affected by dothistroma needle blight

Laurie A. Chisholm, Christine Stone, Simon McDonald, 2003 .

Application of Remote Sensing Technologies for Assessing Planted Forests Damaged by Insect Pests and Fungal Pathogens: a Review

Caroline Mohammed, Christine Stone, C. Stone, 2017, Current Forestry Reports.

Characterizing Eucalypt Leaf Phenology and Stress with Spectral Analysis

Caroline Mohammed, Karen M. Barry, Ross Corkrey, 2009 .

Spectral reflectance characteristics of eucalypt foliage damaged by insects

Nicholas C. Coops, Laurie A. Chisholm, Christine Stone, 2001 .

Can we grow certified eucalypt plantations in subtropical Australia? An insect pest management perspective

Christine Stone, Simon A. Lawson, C. Stone, 2005 .

Forecasting tree mortality using change metrics derived from MODIS satellite data

Jan Verbesselt, Andrew P. Robinson, Christine Stone, 2009 .

Predicting Sphaeropsis sapinea Damage in Pinus radiata Canopies Using Spectral Indices and Spectral Mixture Analysis

Nicholas C. Coops, Christine Stone, Nicholas R. Goodwin, 2006 .

Mapping eucalypt forest susceptible to dieback associated with bell miners (Manorina melanophys) using laser scanning, SPOT 5 and ancillary topographical data

Christine Stone, Andrew Haywood, C. Stone, 2011 .

Assessment of crown condition in eucalypt vegetation by remotely sensed optical indices.

Christine Stone, N. Coops, D. Culvenor, 2004, Journal of environmental quality.

Effects of leaf age and psyllid damage on the spectral reflectance properties of Eucalyptus saligna foliage

Laurie A. Chisholm, Christine Stone, Simon McDonald, 2005 .

DBH and height show significant correlation with incoming solar radiation: a case study of a radiata pine (Pinus radiata D. Don) plantation in New South Wales, Australia

Lalit Kumar, Russell Turner, Christine Stone, 2014 .

ASSESSING THE HEALTH OF PINUS RADIATA PLANTATIONS USING REMOTE SENSING DATA AND DECISION TREE ANALYSIS

Neil Sims, Nicholas C. Coops, Christine Stone, 2007 .

A strategic forest inventory for public land in Victoria, Australia.

Christine Stone, Andrew Haywood, Andrew Mellor, 2016 .

Managing drought-induced mortality in Pinus radiata plantations under climate change conditions: A local approach using digital camera data

Russell Turner, Christine Stone, Trent D. Penman, 2012 .

Semi-automating the stand delineation process in mapping natural eucalypt forests

Christine Stone, Andrew Haywood, C. Stone, 2011 .

Effects of Mycosphaerella leaf disease on the spectral reflectance properties of juvenile Eucalyptus globulus foliage

Christine Stone, Elizabeth A. Pinkard, C. Stone, 2006 .

Alternatives to LiDAR-derived canopy height models for softwood plantations: a review and example using photogrammetry

Christine Stone, Jon Osborn, Mj Webster, 2016 .

Estimation of chlorophyll content in Eucalyptus globulus foliage with the leaf reflectance model PROSPECT

Karen M. Barry, Christine Stone, Glenn Newnham, 2009 .

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

Christine Stone, Jon Osborn, J. Osborn, 2018 .

Airborne LiDAR derived canopy height model reveals a significant difference in radiata pine (Pinus radiata D. Don) heights based on slope and aspect of sites

Lalit Kumar, Russell Turner, Christine Stone, 2014, Trees.

Impact of local slope and aspect assessed from LiDAR records on tree diameter in radiata pine (Pinus radiata D. Don) plantations

Lalit Kumar, Russell Turner, Christine Stone, 2014, Annals of Forest Science.

Monitoring Victoria’s public forests: implementation of the Victorian Forest Monitoring Program

Christine Stone, Andrew Haywood, Andrew Mellor, 2017 .

Determining an optimal model for processing lidar data at the plot level: Results for a Pinus radiata plantation in New South Wales, Australia

Russell Turner, Christine Stone, Trent D. Penman, 2011 .

Assessing canopy health of native eucalypt forests

Christine Stone, Andrew Haywood, C. Stone, 2006 .

Application of narrow-band digital camera imagery to plantation canopy condition assessment

Neil Sims, Nicholas C. Coops, Christine Stone, 2006 .

Estimating Large Area Forest Carbon Stocks—A Pragmatic Design Based Strategy

Christine Stone, Andrew Haywood, C. Stone, 2017 .

Chlorophyll content in eucalypt vegetation at the leaf and canopy scales as derived from high resolution spectral data.

Christine Stone, N. Coops, D. Culvenor, 2003, Tree physiology.

Predicting Mycosphaerella leaf disease severity in a Eucalyptus globulus plantation using digital multi-spectral imagery

Neil Sims, Caroline Mohammed, Christine Stone, 2007 .

A comparison of field-based and modelled reflectance spectra from damaged Pinus radiata foliage

Nicholas C. Coops, Christine Stone, N. Coops, 2005 .