Jonathan P. Dash

发表

UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health

Jonathan P. Dash, Grant D. Pearse, Michael S. Watt, 2018, Remote. Sens..

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.

Combining Airborne Laser Scanning and Aerial Imagery Enhances Echo Classification for Invasive Conifer Detection

Jonathan P. Dash, Grant D. Pearse, Michael S. Watt, 2017, Remote. Sens..

Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data

Matthias O. Franz, Jonathan P. Dash, Grant D. Pearse, 2020, ISPRS Journal of Photogrammetry and Remote Sensing.

Taking a closer look at invasive alien plant research: A review of the current state, opportunities, and future directions for UAVs

Jonathan P. Dash, Michael S. Watt, Robin Hartley, 2019, Methods in Ecology and Evolution.

Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data

Jonathan P. Dash, Grant D. Pearse, Michael S. Watt, 2019, Remote. Sens..

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

Arko Lucieer, Paul Turner, Winyu Chinthammit, 2018 .

Forest-Scale Phenotyping: Productivity Characterisation Through Machine Learning

David Pont, Michael S. Watt, Jonathan P. Dash, 2020, Frontiers in Plant Science.

A comparison of UAV laser scanning, photogrammetry and airborne laser scanning for precision inventory of small-forest properties

Johannes Breidenbach, Stefano Puliti, Jonathan P. Dash, 2020 .

Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak

Jonathan P. Dash, Grant D. Pearse, Michael S. Watt, 2017 .

Characterising forest structure using combinations of airborne laser scanning data, RapidEye satellite imagery and environmental variables

Jonathan P. Dash, P. Watt, M. Watt, 2016 .

Comparison of high-density LiDAR and satellite photogrammetry for forest inventory

Jonathan P. Dash, Grant D. Pearse, Henrik J. Persson, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Multi-sensor modelling of a forest productivity index for radiata pine plantations

Michael S. Watt, Pete Watt, Jonathan P. Dash, 2016, New Zealand Journal of Forestry Science.

Comparing parametric and non-parametric methods of predicting Site Index for radiata pine using combinations of data derived from environmental surfaces, satellite imagery and airborne laser scanning

Michael S. Watt, Pete Watt, Jonathan P. Dash, 2015 .

Application of remote sensing technologies to identify impacts of nutritional deficiencies on forests

Jonathan P. Dash, Grant D. Pearse, Ellen Mae C. Leonardo, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Methods for estimating multivariate stand yields and errors using k-NN and aerial laser scanning

Jonathan P. Dash, H. Marshall, B. Rawley, 2015 .

Optimising prediction of forest leaf area index from discrete airborne lidar

Jonathan P. Dash, Grant D. Pearse, Justin Morgenroth, 2017 .

Phenotyping Whole Forests Will Help to Track Genetic Performance.

Jonathan P. Dash, Michael S. Watt, H. Dungey, 2018, Trends in plant science.

The economic impact of optimising final stand density for structural saw log production on the value of the New Zealand plantation estate

Mark O. Kimberley, Michael S. Watt, Duncan Harrison, 2017 .

Comparison of TanDEM-X InSAR data and high-density ALS for the prediction of forest inventory attributes in plantation forests with steep terrain

Jonathan P. Dash, Grant D. Pearse, Henrik J. Persson, 2020 .

New technology and its implications Remote sensing for precision forestry

David Pont, Rod Brownlie, Andrew Dunningham, 2016 .

Stand density and genetic improvement have site-specific effects on the economic returns from Pinus radiata plantations

Jonathan P. Dash, Heidi S. Dungey, Jaroslav Klápště, 2019, Forest Ecology and Management.

Spatial prediction of optimal final stand density for even-aged plantation forests using productivity indices

Mark O. Kimberley, Michael S. Watt, Duncan Harrison, 2017 .

Quantifying the influence of seedlot and stand density on growth, wood properties and the economics of growing radiata pine

Jonathan P. Dash, Heidi S. Dungey, H. Dungey, 2018 .

Hyperspectral VNIR-spectroscopy and imagery as a tool for monitoring herbicide damage in wilding conifers

Jonathan P. Dash, Grant D. Pearse, Michael S. Watt, 2019, Biological Invasions.

Draft Spatial prediction of optimal final stand density for even age plantation forests using productivity indices

Jonathan P. Dash, M. Kimberley, Harrison, 2016 .

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Joanne C. White, Jonathan P. Dash, P. Aplin, 2022, Remote Sensing of Environment.

Emerging solutions for hydrological modelling from LiDAR

Jonathan P. Dash, Grant D. Pearse, Stefanie Lumnitz, 2017 .