Theses
PhD
Leslie Mann (2023): Quantifying variation in paropsine defoliation within Eucalyptus
Ning Ye (2023): Optimising automated classification for New Zealand’s indigenous forests with advanced phenological remote sensing techniques
Jonathan Dash (2020): On the detection and monitoring of invasive exotic conifers in New Zealand using remote sensing
Serajis Salekin (2019): Hybrid growth models for Eucalyptus globoidea and E. bosistoana: explaining within and between site variability
Darius Phiri (2019): Monitoring land cover dynamics for Zambia using remote sensing: 1972–2016
Tingdong Guo (2019): The effect of residential property redevelopment on urban forest dynamics in Christchurch, New Zealand
Grant Pearse (2017): Estimating leaf area index from airborne laser scanning
Vega Xu (2017): Obtaining forest description for small-scale forests using an integrated remote sensing approach
David Pont (2016): Assessment of individual trees using aerial laser scanning in New Zealand radiata pine forests
Masters
Charlie Ikosi (2022): Variations In Above Ground Biomass of Forest Plantations Using LiDAR Point Clouds for Bottle Lake Forest
Josh Foster (2020): Using the landsat catalogue to assess thirty years of change in native woody vegetation in three New Zealand sheep and beef farming
Yannina Whiteley (2020): Empirical models of tree top breakage and scattered wind-throw in a Pinus radiata and Pseudotsuga menziesii plantation forest in New Zealand
Thai Son Le (2018): A stratified GIS-based model to identify optimal locations for establishing new permanent sample plots for Eucalyptus bosistoana and Eucalyptus globoidea in New Zealand
Honours Dissertations
Anna Manning (2023): The Uptake and Barriers of Geospatial Technologies in New Zealand’s Plantation Forestry Sector
Milan Clarke (2022): Describing Small-Scale Forests Using Publicly Available LiDAR
Will Mace-Cochrane (2022): An Evaluation of Landsat 9, Landsat 8, and Sentinel-2 on Forest Classification in the East Coast, New Zealand
Sarah de Gouw (2018): The uptake and barriers of geospatial technologies in New Zealand’s forest management sector