Eben North Broadbent
Orcid: 0000-0002-4488-4237Affiliations:
- University of Florida, School of Forest Resources and Conservation, Gainesville, FL, USA
According to our database1,
Eben North Broadbent
authored at least 18 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Current Status of Remote Sensing for Studying the Impacts of Hurricanes on Mangrove Forests in the Coastal United States.
Remote. Sens., October, 2024
2023
Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep Learning.
Remote. Sens., February, 2023
Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics.
Remote. Sens., 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2021
Remote. Sens., 2021
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
2020
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
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