Name
Affiliation
Papers
ARKO LUCIEER
School of Land and Food, University of TasmaniaPrivate Bag 76HobartTasmania7001Australia
52
Collaborators
Citations 
PageRank 
109
455
46.51
Referers 
Referees 
References 
1400
1022
389
Search Limit
1001000
Title
Citations
PageRank
Year
Considerations for Assessing Functional Forest Diversity in High-Dimensional Trait Space Derived from Drone-Based Lidar00.342022
Tree Detection and Species Classification in a Mixed Species Forest Using Unoccupied Aircraft System (UAS) RGB and Multispectral Imagery00.342022
Handheld Laser Scanning Detects Spatiotemporal Differences In The Development Of Structural Traits Among Species In Restoration Plantings00.342021
Underwater Hyperspectral Imaging (Uhi): A Review Of Systems And Applications For Proximal Seafloor Ecosystem Studies00.342021
A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest00.342021
A Comparison Of Als And Dense Photogrammetric Point Clouds For Individual Tree Detection In Radiata Pine Plantations00.342021
A Calibration Procedure for Field and UAV-Based Uncooled Thermal Infrared Instruments.00.342020
Retrieval Of Hyperspectral Information From Multispectral Data For Perennial Ryegrass Biomass Estimation00.342020
Solar-Induced Chlorophyll Fluorescence Measured From an Unmanned Aircraft System: Sensor Etaloning and Platform Motion Correction00.342020
Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors.00.342020
Retrieval of Crude Protein in Perennial Ryegrass Using Spectral Data at the Canopy Level.00.342020
From Drones to Phenotype: Using UAV-LiDAR to Detect Species and Provenance Variation in Tree Productivity and Structure.00.342020
Footprint Determination of a Spectroradiometer Mounted on an Unmanned Aircraft System00.342020
Optimizing Spectral and Spatial Resolutions of Unmanned Aerial System Imaging Sensors for Monitoring Antarctic Vegetation00.342019
Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping.00.342019
Ultra-high spatial resolution fractional vegetation cover from unmanned aerial multispectral imagery.00.342019
A Robust Rule-Based Ensemble Framework Using Mean-Shift Segmentation for Hyperspectral Image Classification.00.342019
A comparison of area-based forest attributes derived from airborne laser scanner, small-format and medium-format digital aerial photography.00.342019
Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest.00.342019
An Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-Scale Biophysical Properties of Sea Ice00.342019
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows.90.542018
Poppy crop capsule volume estimation using UAS remote sensing and random forest regression.10.352018
Object-based random forest classification of Landsat ETM+ and WorldView-2 satellite imagery for mapping lowland native grassland communities in Tasmania, Australia.20.402018
Modelling LiDAR derived tree canopy height from Landsat TM, ETM+ and OLI satellite imagery - A machine learning approach.10.372018
Error Budget for Geolocation of Spectroradiometer Point Observations from an Unmanned Aircraft System.00.342018
Assessing the Impact of Spectral Resolution on Classification of Lowland Native Grassland Communities Based on Field Spectroscopy in Tasmania, Australia.00.342018
Benchmarking the Applicability of Ontology in Geographic Object-Based Image Analysis.10.352017
Poppy Crop Height and Capsule Volume Estimation from a Single UAS Flight.50.532017
Obtaining biophysical measurements of woody vegetation from high resolution digital aerial photography in tropical and arid environments: Northern Territory, Australia.10.382016
Time series analysis of landslide dynamics using an Unmanned Aerial Vehicle (UAV)30.522015
The Impact of the Calibration Method on the Accuracy of Point Clouds Derived Using Unmanned Aerial Vehicle Multi-View Stereopsis160.962015
HyperUAS - Imaging Spectroscopy from a Multirotor Unmanned Aircraft System.30.712014
Detecting pruning of individual stems using Airborne Laser Scanning data captured from an Unmanned Aerial Vehicle.50.652014
An Assessment of the Repeatability of Automatic Forest Inventory Metrics Derived From UAV-Borne Laser Scanning Data110.972014
Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds222.162014
Natural 7DoF navigation & interaction in 3D geovisualisations00.342014
Natural 7DoF input for 3D navigation.10.352014
Direct Georeferencing of Ultrahigh-Resolution UAV Imagery321.942014
Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds.242.312014
Evaluating Tree Detection and Segmentation Routines on Very High Resolution UAV LiDAR Data241.382014
Development of a UAV-LiDAR System with Application to Forest Inventory585.162012
Mapping invasive Fallopia japonica by combined spectral, spatial, and temporal analysis of digital orthophotos.171.272012
An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds785.872012
Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery664.382012
Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing272.262012
Gestural navigation in Google Earth80.752011
Texture-based classification of sub-Antarctic vegetation communities on Heard Island201.192010
Exploring uncertainty in remotely sensed data with parallel coordinate plots60.602009
Field Sampling from a Segmented Image10.452008
Panchromatic Wavelet Texture Features Fused With Multispectral Bands For Improved Classification Of High-Resolution Satellite Imagery00.342007
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