Alfred Strand

Papers

1

Total Citations

4

H-Index

1

About

Alfred Strand’s research lies at the intersection of remote sensing and aquatic ecology, with a primary focus on developing novel optical tools for monitoring zooplankton and other fauna. His most notable contribution is the pioneering “proof-of-concept” work on an applied hyperspectral LIDAR system, originally developed by Ljungholm et al., which demonstrated the feasibility of using this technology to detect and track aquatic organisms in their natural environment. This thesis-based study, published in 2016, has garnered 4 citations and laid crucial groundwork for non-invasive, high-resolution monitoring of zooplankton dispersal—a key component of aquatic food webs and ecosystem health. Strand’s work addresses a critical gap in field biology by moving beyond traditional net sampling toward real-time, remote sensing of small, transparent organisms. Though early in his career, his integration of hyperspectral LIDAR with ecological monitoring represents a significant step forward for environmental sensing, offering a scalable method to study animal behavior and population dynamics in murky or deep waters. His research holds promise for advancing our understanding of how aquatic fauna respond to environmental changes.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Applied hyperspectral LIDAR for monitoring fauna dispersal in aquatic environments
4 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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