Eben North Broadbent

  • University of Florida, School of Forest Resources and Conservation, Gainesville, FL, USA

According to our database1, Eben North Broadbent authored at least 14 papers between 2019 and 2021.

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



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


UAV LiDAR Survey for Archaeological Documentation in Chiapas, Mexico.
Remote. Sens., 2021

UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications.
Remote. Sens., 2021

Fusion of Lidar and Hyperspectral Data from Drones for Ecological Questions: The Gatoreye Atlantic Forest Restoration Case Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil.
Remote. Sens., 2020

Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data.
Remote. Sens., 2020

Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data.
Remote. Sens., 2020

Single-Pass UAV-Borne GatorEye LiDAR Sampling as a Rapid Assessment Method for Surveying Forest Structure.
Remote. Sens., 2020

Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models.
Remote. Sens., 2020

Estimating Stem Volume in Eucalyptus Plantations Using Airborne LiDAR: A Comparison of Area- and Individual Tree-Based Approaches.
Remote. Sens., 2020

Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System.
Remote. Sens., 2020

Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes.
Comput. Electron. Agric., 2020

Geometric Targets for UAS Lidar.
Remote. Sens., 2019

Monitoring the structure of forest restoration plantations with a drone-lidar system.
Int. J. Appl. Earth Obs. Geoinformation, 2019

Monitoring The Brazilian Savanna with lidar and RGB Sensors Onboard Remotely Piloted Aircraft Systems.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019