Carl J. Legleiter

United States Geological Survey

Papers

1

Total Citations

4

H-Index

1

About

Carl J. Legleiter is a leading figure in fluvial remote sensing, specializing in the development of non-contact methods for characterizing river systems. His research bridges hydrology, geomorphology, and optical imaging to map flow fields, bathymetry, and sediment dynamics from above the water surface. A major contribution is his work on Particle Image Velocimetry (PIV) for rivers, culminating in a 2024 publication introducing a Robot Operating System (ROS) package that streamlines the acquisition-to-output pipeline for flow velocity mapping. This innovation aims to reduce latency between field data collection and analysis, with the ultimate goal of enabling real-time monitoring of river hydraulics. While his most cited paper has garnered 4 citations—reflecting the niche but growing interest in automated, in-situ remote sensing—Legleiter’s broader portfolio includes foundational studies on spectral depth retrieval and thermal infrared imaging of rivers, which have collectively shaped how researchers observe and model fluvial processes. His work is notable for integrating engineering solutions with environmental science, offering practical tools for river management and hazard assessment. For students and researchers, Legleiter’s research exemplifies how cutting-edge remote sensing can transform our ability to study dynamic aquatic environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV)
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: United States Geological Survey

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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