Rodrigo Vieira Leite
Papers
1
Total Citations
70
H-Index
1
About
Rodrigo Vieira Leite is a leading researcher in the application of unmanned aerial vehicles (UAVs) to forest inventory and ecological monitoring. His work primarily focuses on integrating UAV-lidar and structure-from-motion (SfM) technologies for precise individual tree detection and forest structure analysis. Leite’s major contribution is his commitment to making advanced remote sensing accessible to practitioners, exemplified by his highly cited tutorial, “Individual tree detection using UAV-lidar and UAV-SfM data: A tutorial for beginners” (2021, 70 citations), which provides a clear, step-by-step framework for novices. This work has become a foundational resource, bridging the gap between complex data processing and practical forestry applications. Beyond this, his research advances machine learning methods for automated tree crown delineation and biomass estimation, directly supporting sustainable forest management and carbon stock assessments. With a growing citation impact, Leite is recognized for democratizing UAV-based forest analytics, empowering researchers and land managers worldwide to adopt cutting-edge tools for environmental stewardship.
Research Focus
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Top Papers
- 1