Publications

Laura Duncanson, James Kellner, John Armston, Ralph Dubayah, David Minor, Steven Hancock, Sean Healey, Dr Jonathan Dash, PhD (2021). Aboveground Biomass Density Models for NASAs Global Ecosystem Dynamics Investigation GEDI Lidar Mission. Remote Sensing of Environment.

Grant Pearse, Alan Tan, Michael Watt, Matthias Franz, Dr Jonathan Dash, PhD (2020). Detecting and Mapping Tree Seedlings in UAV Imagery Using Convolutional Neural Networks and Field Verified Data. ISPRS Journal of Photogrammetry and Remote Sensing.

Ellen Mae Leornardo, Michael Watt, Grant Pearse, Dr Jonathan Dash, PhD, Henrik Persson (2020). Comparison of TanDEM X InSAR Data and High Density ALS for the Prediction of Forest Inventory Attributes in Plantation Forests With Steep Terrain. Remote Sensing of Environment.

Dr Jonathan Dash, PhD, John Moore, John Lee, Jaroslav Klapste, Heidi Dungey (2019). Stand Density and Genetic Improvement Have Site Specific Effects on the Economic Returns From Pinus Radiata Plantations. Forest Ecology and Management.

Dr Jonathan Dash, PhD, Michal Watt, Thomas Paul, Justin Morgenroth, Grant Pearse (2019). Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data. Remote Sensing.

Dr Jonathan Dash, PhD, Grant Pearse, Michael Watt (2018). UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health. Remote Sensing.

Grant Pearse, Michael Watt, Dr Jonathan Dash, PhD, Christine Stone, Gabrielle Caccamo (2018). Comparison of Models Describing Forest Inventory Attributes Using Standard and Voxel Based Lidar Predictors Across a Range of Pulse Densities. International Journal of Applied Earth Observation and Geoinformation.

Dr Jonathan Dash, PhD, Michael Watt, Grant Pearse, Marie Heaphy, Heidi Dungey (2017). Assessing Very High Resolution UAV Imagery for Monitoring Forest Health During a Simulated Disease Outbreak. ISPRS Journal of Photogrammetry and Remote Sensing.

Dr Jonathan Dash, PhD, Hamish Marshall, Brian Rawley (2016). Methods for Estimating Multivariate Stand Yields and Errors Using KNN and Aerial Laser Scanning. Forestry: An International Journal of Forest Research.

Michael Watt, Mark Kimberley, Dr Jonathan Dash, PhD, Duncan Harrison (2016). Spatial Prediction of Optimal Final Stand Density for Even Age Plantation Forests Using Productivity Indices.