Helge Aasen

Ecology · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 63 citations into it; #7,188 of 10,717 by trust here, #3,102 by citations
• Environmental Engineering — 43 citations into it; #3,989 of 5,479 by trust here, #931 by citations
• Plant Science — 36 citations into it
• Geology — 22 citations into it
• Global and Planetary Change — 20 citations into it
• Atmospheric Science — 9 citations into it
• Media Technology — 9 citations into it
• Ocean Engineering — 8 citations into it

Whom Helge Aasen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Pablo J. Zarco-Tejada
2. Thomas Blaschke
3. Eija Honkavaara
4. Jakob Geipel
5. Noah Snavely
6. Darren Turner
7. David John Cameron MacKay
8. Eric R. Ziegel
9. Andrea S. Laliberte
10. Nathalie Bréda

Who trusts Helge Aasen overall

1. Mary Bernadette Stuart
2. H. Yao
3. Telmo Adão
4. Lukas Roth
5. Andrew John Samuel McGonigle
6. Guijun Yang
7. Rongjun Qin
8. Eija Honkavaara
9. Jon Raffe Willmott

Papers from Helge Aasen's perspective

Ordered by how strongly the researchers Helge Aasen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle (IEEE Transactions on Geoscience and Remote Sensing)
2. Modeling the World from Internet Photo Collections (International Journal of Computer Vision)
3. Object based image analysis for remote sensing
4. Three decades of hyperspectral remote sensing of the Earth: a personal view.
5. Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
6. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode.
7. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
8. Unmanned aerial systems for photogrammetry and remote sensing: A review
9. Direct Georeferencing of Ultrahigh-Resolution UAV Imagery (IEEE Transactions on Geoscience and Remote Sensing)
10. Lightweight unmanned aerial vehicles will revolutionize spatial ecology

Their papers

• Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows (2018) — 557 citations
• Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography (2018) — 86 citations
• Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley (2015) — 1,170 citations
• Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance (2015) — 444 citations