Helge Aasen

ETH Zurich, University of Cologne

Papers

2

Total Citations

612

H-Index

2

About

Helge Aasen is a pioneering researcher at the intersection of remote sensing, precision agriculture, and plant phenotyping. His work has fundamentally advanced the use of unmanned aerial vehicles (UAVs) for high-resolution spectral imaging, enabling scientists to monitor crop health and structure at an unprecedented scale. Aasen’s landmark review on UAV spectroscopy, cited over 600 times, has become a foundational resource for the field, synthesizing sensor technology, measurement protocols, and data correction workflows. His doctoral research introduced the concept of Hyperspectral Digital Surface Models (HS DSMs), a novel fusion of spectral and 3D structural data captured by UAV snapshot cameras. This innovation allows for the simultaneous assessment of plant biochemistry and canopy architecture, revolutionizing how we quantify crop traits like biomass and nitrogen status. By bridging the gap between ground-based measurements and satellite observations, Aasen’s work provides a critical tool for high-throughput phenotyping and sustainable agriculture. His contributions have established him as a leading voice in the drive to make remote sensing more quantitative, accessible, and impactful for food security research.

Research Focus

Key Achievements

2
H-Index
2
Papers
612
Total Citations
306
Avg Citations/Paper
🏆 Most Cited Paper
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows
606 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: ETH Zurich, University of Cologne

Top Papers

  1. 1
  2. 2
    The acquisition of Hyperspectral Digital Surface Models of crops from UAV snapshot cameras
    6 citations · 2016

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago