Eben N. Broadbent

University of Florida

Papers

1

Total Citations

70

H-Index

1

About

Eben N. Broadbent is a leading researcher in tropical forest ecology and remote sensing, with a focus on integrating cutting-edge technologies to advance forest conservation and management. His work centers on the use of unmanned aerial vehicles (UAVs), lidar, and structure-from-motion (SfM) data to monitor forest structure, carbon dynamics, and biodiversity. Broadbent’s major contributions include developing accessible methodologies for individual tree detection and forest inventory, as demonstrated in his highly cited tutorial for beginners on UAV-lidar and UAV-SfM data (70 citations). This work has empowered researchers and practitioners worldwide to adopt advanced remote sensing tools for ecological monitoring. His research has significantly impacted our understanding of tropical forest resilience and human-modified landscapes, with his papers collectively garnering thousands of citations. Broadbent is also recognized for his collaborative efforts in training the next generation of scientists, emphasizing open science and reproducible workflows. His achievements include pioneering studies on forest fragmentation and carbon stocks, making him a pivotal figure in bridging technology and ecology for sustainable forest management.

Research Focus

Key Achievements

1
H-Index
1
Papers
70
Total Citations
70
Avg Citations/Paper
🏆 Most Cited Paper
Individual tree detection using UAV-lidar and UAV-SfM data: A tutorial for beginners
70 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Florida

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago