Grant D. Pearse

Orcid: 0000-0001-5277-2449

According to our database1, Grant D. Pearse authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Early Prediction of Regional Red Needle Cast Outbreaks Using Climatic Data Trends and Satellite-Derived Observations.
Remote. Sens., April, 2024

Automatic Detection of Phytophthora pluvialis Outbreaks in Radiata Pine Plantations Using Multi-Scene, Multi-Temporal Satellite Imagery.
Remote. Sens., January, 2024

2023
Unsupervised Methodology for Large-Scale Tree Seedling Mapping in Diverse Forestry Settings Using UAV-Based RGB Imagery.
Remote. Sens., November, 2023

FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees.
CoRR, 2023

2022
Assessing the Potential of Backpack-Mounted Mobile Laser Scanning Systems for Tree Phenotyping.
Remote. Sens., 2022

2021
Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response.
Remote. Sens., 2021

A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials.
Remote. Sens., 2020

2019
Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data.
Remote. Sens., 2019

Comparison of models describing forest inventory attributes using standard and voxel-based lidar predictors across a range of pulse densities.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health.
Remote. Sens., 2018

2017
Combining Airborne Laser Scanning and Aerial Imagery Enhances Echo Classification for Invasive Conifer Detection.
Remote. Sens., 2017


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