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Retention, removal, and replanting of urban trees in housing intensification: Developer and local government perspectives
Retention, removal, and replanting of urban trees in housing intensification: Developer and local government perspectives
Pedley et al., 2026
Remote sensing assessment of shrub encroachment and its driving mechanisms in semi-arid grasslands.
Remote sensing assessment of shrub encroachment and its driving mechanisms in semi-arid grasslands.
Chen et al., 2025
Leveraging close-range UAV phenotyping and GWAS for enhanced understanding of slash pine growth dynamics.
Leveraging close-range UAV phenotyping and GWAS for enhanced understanding of slash pine growth dynamics.
Ding et al., 2025
Forecasting of large-scale tea anthracnose in mountainous region of China though integration of multi-source habitat information with spatiotemporal phenological corrections.
Forecasting of large-scale tea anthracnose in mountainous region of China though integration of multi-source habitat information with spatiotemporal phenological corrections.
Huang et al., 2025
Optimization of Sassafras tzumu leaves color quantification with UAV RGB imaging and Sassafras-net.
Optimization of Sassafras tzumu leaves color quantification with UAV RGB imaging and Sassafras-net.
Meng et al., 2025
Spatiotemporal patterns of annual clear-cutting distribution in tropical and subtropical regions of China with time series Landsat and CCDC.
Spatiotemporal patterns of annual clear-cutting distribution in tropical and subtropical regions of China with time series Landsat and CCDC.
Zhou et al., 2025
Unanticipated cooling gains from afforestation in Southwestern China.
Unanticipated cooling gains from afforestation in Southwestern China.
He et al., 2025
Self-supervised deep learning for detection of forest disturbance types in a subtropical ecosystem using transformer and Sentinel-1 and Sentinel-2 time series data.
Self-supervised deep learning for detection of forest disturbance types in a subtropical ecosystem using transformer and Sentinel-1 and Sentinel-2 time series data.
Zhang et al., 2025
Use of geospatial technologies in New Zealand’s plantation forestry sector–a decade of change.
Use of geospatial technologies in New Zealand’s plantation forestry sector–a decade of change.
Xu et al., 2025
Classifying canopy complexity to assess the reliability of airborne LiDAR in urban forest assessments.
Classifying canopy complexity to assess the reliability of airborne LiDAR in urban forest assessments.
Sharma et al., 2025
Urban tree cover targets: The good, the bad and the SMART.
Urban tree cover targets: The good, the bad and the SMART.
Morgenroth et al., 2025
Green vs growth: The effect of residential intensification on urban tree canopy loss in Christchurch, New Zealand.
Green vs growth: The effect of residential intensification on urban tree canopy loss in Christchurch, New Zealand.
Pedley & Morgenroth, 2025
Pedley & Morgenroth, 2025
Estimating individual tree DBH and biomass of durable Eucalyptus using UAV LiDAR
Estimating individual tree DBH and biomass of durable Eucalyptus using UAV LiDAR
Ye et al., 2025
Detecting and measuring fine-scale urban tree canopy loss with deep learning and remote sensing
Detecting and measuring fine-scale urban tree canopy loss with deep learning and remote sensing
Pedley & Morgenroth, 2025
Advancing urban forest and ecosystem service assessment through the integration of remote sensing and i-Tree Eco: A systematic review
Advancing urban forest and ecosystem service assessment through the integration of remote sensing and i-Tree Eco: A systematic review
Sharma et al., 2025
Life in green: Associations between greenspace availability and mental health over the life course – A 40-year prospective birth cohort study.-
Life in green: Associations between greenspace availability and mental health over the life course – A 40-year prospective birth cohort study.-
Deng et al., 2025
MFCPopulus: A Point Cloud Completion Network Based on Multi-Feature Fusion for the 3D Reconstruction of Individual Populus Tomentosa in Planted Forests.
MFCPopulus: A Point Cloud Completion Network Based on Multi-Feature Fusion for the 3D Reconstruction of Individual Populus Tomentosa in Planted Forests.
Liu et al., 2025
Multitemporal UAV study of phenolic compounds in slash pine canopies
Song et al., 2024
Cross-scale mapping of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland
Cross-scale mapping of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland
Chen et al., 2024
Mapping minor plantation species for New Zealand’s small-scale forests using Sentinel-2 satellite data
Mapping minor plantation species for New Zealand’s small-scale forests using Sentinel-2 satellite data
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Xu et al., 2023
Improving Neural Network classification of native forest in New Zealand with phenological features
Improving Neural Network classification of native forest in New Zealand with phenological features
Ye et al., 2023
Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine
Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine
Niu et al., 2023
Uncertainty in primary and secondary topographic attributes caused by digital elevation model spatial resolution
Uncertainty in primary and secondary topographic attributes caused by digital elevation model spatial resolution
Salekin et al., 2023
A Systematic Review of Individual Tree Crown Detection and Delineation with Convolutional Neural Networks (CNN)
A Systematic Review of Individual Tree Crown Detection and Delineation with Convolutional Neural Networks (CNN)
Zhao et al., 2023
A comparison of photogrammetric software for deriving structure-from-motion 3D point clouds and estimating tree heights
A comparison of photogrammetric software for deriving structure-from-motion 3D point clouds and estimating tree heights
Lipwoni et al., 2022
Lipwoni et al., 2022
Improving neural network classification of indigenous forest in New Zealand with phenological features
Improving neural network classification of indigenous forest in New Zealand with phenological features
Ye et al., 2022
Within-site drivers for soil nutrient variability in plantation forests: A case study from dry sub-humid New Zealand
Within-site drivers for soil nutrient variability in plantation forests: A case study from dry sub-humid New Zealand
Salekin et al., 2021
Global Tree Taper Modelling: A Review of Applications, Methods, Functions, and Their Parameters
Global Tree Taper Modelling: A Review of Applications, Methods, Functions, and Their Parameters
Salekin et al., 2021
Salekin et al., 2021
Hybrid height growth and survival model for juvenile Eucalyptus globoidea (Blakely) and E. bosistoana (F. Muell) in New Zealand
Hybrid height growth and survival model for juvenile Eucalyptus globoidea (Blakely) and E. bosistoana (F. Muell) in New Zealand
Salekin et al., 2021
Indigenous forest classification in New Zealand – A comparison of classifiers and sensors
Indigenous forest classification in New Zealand – A comparison of classifiers and sensors
Ye et al., 2021
Ye et al., 2021
Quantifying the area of the small-scale owners’ forest estate in the East Coast, Hawke’s Bay and Southern North Island
Quantifying the area of the small-scale owners’ forest estate in the East Coast, Hawke’s Bay and Southern North Island
Manley et al., 2020
A preliminary growth and yield model for Eucalyptus globoidea Blakely plantations in New Zealand
A preliminary growth and yield model for Eucalyptus globoidea Blakely plantations in New Zealand
Salekin et al., 2020
Salekin et al., 2020
An updated survey on the use of geospatial technologies in New Zealand’s plantation forestry sector
An updated survey on the use of geospatial technologies in New Zealand’s plantation forestry sector
De Gouw et al., 2020
Strategic expansion of existing forest monitoring plots: a case study using a stratified GIS-based modelling approach
Strategic expansion of existing forest monitoring plots: a case study using a stratified GIS-based modelling approach
Le & Morgenroth, 2020
Le & Morgenroth, 2020
To plant, remove, or retain: Understanding property owner decisions about trees during redevelopment
To plant, remove, or retain: Understanding property owner decisions about trees during redevelopment
Guo et al., 2019
Taking a closer look at invasive alien plant research: A review of
Taking a closer look at invasive alien plant research: A review of
the current state, opportunities, and future directions for UAV
the current state, opportunities, and future directions for UAV
Dash et al., 2019
Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data
Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data
Dash et al., 2019
Dash et al., 2019
Modelling the Effect of Microsite Influences on the Growth and Survival of Juvenile Eucalyptus globoidea (Blakely) and Eucalyptus bosistoana (F. Muell) in New Zealand
Modelling the Effect of Microsite Influences on the Growth and Survival of Juvenile Eucalyptus globoidea (Blakely) and Eucalyptus bosistoana (F. Muell) in New Zealand
Salekin et al., 2019
Describing area and yield for small-scale plantation forests in Wairarapa region of New Zealand using RapidEye and LiDAR
Describing area and yield for small-scale plantation forests in Wairarapa region of New Zealand using RapidEye and LiDAR
Xu et al., 2019
City-wide canopy cover decline due to residential property redevelopment in Christchurch, New Zealand
City-wide canopy cover decline due to residential property redevelopment in Christchurch, New Zealand
Guo et al., 2019
Guo et al., 2019
Four decades of land cover and forest connectivity study in Zambia—An object-based image analysis approach
Four decades of land cover and forest connectivity study in Zambia—An object-based image analysis approach
Phiri et al., 2019
Long-term land cover change in Zambia: An assessment of driving factors
Long-term land cover change in Zambia: An assessment of driving factors
Phiri et al., 2019
A Comparative Study of Three Non-Geostatistical Methods for Optimising Digital Elevation Model Interpolation
A Comparative Study of Three Non-Geostatistical Methods for Optimising Digital Elevation Model Interpolation
Salekin et al., 2018
Evaluation of modelling approaches in predicting forest volume and stand age for small-scale plantation forests in New Zealand with RapidEye and LiDAR
Evaluation of modelling approaches in predicting forest volume and stand age for small-scale plantation forests in New Zealand with RapidEye and LiDAR
Xu et al., 2018
Redeveloping the urban forest: The effect of redevelopment and property scale variables on tree removal and retention
Redeveloping the urban forest: The effect of redevelopment and property scale variables on tree removal and retention
Guo et al., 2018
Effects of pre-processing methods on Landsat OLI-8 land cover classification using OBIA and random forests classifier
Effects of pre-processing methods on Landsat OLI-8 land cover classification using OBIA and random forests classifier
Phiri et al., 2018
Comparison between meteorological data from the New Zealand National Institute of Water and Atmospheric Research (NIWA) and data from independent meteorological stations
Comparison between meteorological data from the New Zealand National Institute of Water and Atmospheric Research (NIWA) and data from independent meteorological stations
Mason et al., 2017
Quantifying the small-scale owners’ estate in Canterbury, Otago and Southland
Quantifying the small-scale owners’ estate in Canterbury, Otago and Southland
Manley et al., 2017
Potential for forestry on highly erodible land in New Zealand
Potential for forestry on highly erodible land in New Zealand
Mason & Morgenroth, 2017
Developments in Landsat Land Cover Classification Methods: A Review
Developments in Landsat Land Cover Classification Methods: A Review
Phiri & Morgenroth, 2017
Mapping Net Stocked Plantation Area for Small-Scale Forests in New Zealand Using Integrated RapidEye and LiDAR Sensors
Mapping Net Stocked Plantation Area for Small-Scale Forests in New Zealand Using Integrated RapidEye and LiDAR Sensors
Xu et al., 2017
Optimising prediction of forest leaf area index from discrete airborne lidar
Optimising prediction of forest leaf area index from discrete airborne lidar
Pearse et al., 2017
Automatic GNSS enabled harvester data collection as a tool to evaluate factors affecting harvester productivity in an Eucalyptus spp. Harvesting operation in Uruguay
Automatic GNSS enabled harvester data collection as a tool to evaluate factors affecting harvester productivity in an Eucalyptus spp. Harvesting operation in Uruguay
Olivera et al., 2016
Comparison of optical LAI measurements under diffuse and clear skies after correcting for scattered radiation
Comparison of optical LAI measurements under diffuse and clear skies after correcting for scattered radiation
Pearse et al., 2016
Integrating Data from Discrete Return Airborne LiDAR and Optical Sensors to Enhance the Accuracy of Forest Description: A Review
Integrating Data from Discrete Return Airborne LiDAR and Optical Sensors to Enhance the Accuracy of Forest Description: A Review
Xu et al., 2015
What proportion of the small-scale owners’ estate in the North Island is likely to be harvested?
What proportion of the small-scale owners’ estate in the North Island is likely to be harvested?
Manley et al., 2015
3D modelling of individual trees using a handheld camera: Accuracy of height, diameter and volume estimates
3D modelling of individual trees using a handheld camera: Accuracy of height, diameter and volume estimates
Miller et al., 2015
Assessment of tree structure using a 3D image analysis technique—A proof of concept
Assessment of tree structure using a 3D image analysis technique—A proof of concept
Morgenroth & Gomez, 2014
Uptake and barriers to the use of geospatial technologies in forest management
Uptake and barriers to the use of geospatial technologies in forest management
Morgenroth & Visser, 2013
What proportion of the forest of small-scale owners is likely to be harvested – a Whanganui case study
What proportion of the forest of small-scale owners is likely to be harvested – a Whanganui case study
Park et al., 2012
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