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Books and Theses
- 2016
[b1]Helge Aasen:
The acquisition of Hyperspectral Digital Surface Models of crops from UAV snapshot cameras. University of Cologne, Germany, 2016
Journal Articles
- 2024
- [j13]Eatidal Amin
, Luca Pipia, Santiago Belda, Gregor Perich, Lukas Valentin Graf, Helge Aasen, Shari Van Wittenberghe, José F. Moreno, Jochem Verrelst:
In-season forecasting of within-field grain yield from Sentinel-2 time series data. Int. J. Appl. Earth Obs. Geoinformation 126: 103636 (2024) - 2023
- [j12]Lukas Valentin Graf, Javier Gorroño, Andreas Hueni, Achim Walter, Helge Aasen:
Propagating Sentinel-2 Top-of-Atmosphere Radiometric Uncertainty Into Land Surface Phenology Metrics Using a Monte Carlo Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8632-8654 (2023) - 2022
- [j11]Lukas Graf, Gregor Perich, Helge Aasen:
EOdal: An open-source Python package for large-scale agroecological research using Earth Observation and gridded environmental data. Comput. Electron. Agric. 203: 107487 (2022) - 2021
- [j10]Gregor Perich, Helge Aasen, Jochem Verrelst, Francesco Argento, Achim Walter, Frank Liebisch:
Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data. Remote. Sens. 13(12): 2404 (2021) - 2020
- [j9]Goran Tmusic, Salvatore Manfreda, Helge Aasen, Mike R. James, Gil Gonçalves, Eyal Ben-Dor, Anna Brook, Maria Polinova, José Juan Arranz, János Mészáros, Ruodan Zhuang, Kasper Johansen, Yoann Malbéteau, Isabel Pedroso de Lima, Corine Davids, Sorin Herban, Matthew F. McCabe:
Current Practices in UAS-based Environmental Monitoring. Remote. Sens. 12(6): 1001 (2020) - 2019
- [j8]Helge Aasen, Shari Van Wittenberghe, Neus Sabater, Alexander Damm, Yves Goulas, Sebastian Wieneke, Andreas Hueni, Zbynek Malenovský, Luis Alonso, Javier Pacheco-Labrador, Maria Pilar Cendrero Mateo, Enrico Tomelleri, Andreas Burkart, Sergio Cogliati, Uwe Rascher, Alasdair Mac Arthur:
Sun-Induced Chlorophyll Fluorescence II: Review of Passive Measurement Setups, Protocols, and Their Application at the Leaf to Canopy Level. Remote. Sens. 11(8): 927 (2019) - [j7]Javier Pacheco-Labrador, Andreas Hueni, Laura Mihai, Karolina Sakowska, Tommaso Julitta, Joel Kuusk, Dan Sporea, Luis Alonso, Andreas Burkart, Maria Pilar Cendrero Mateo, Helge Aasen, Yves Goulas, Alasdair Mac Arthur:
Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers. Remote. Sens. 11(8): 960 (2019) - [j6]Maria Pilar Cendrero Mateo, Sebastian Wieneke, Alexander Damm, Luis Alonso, Francisco Pinto, José F. Moreno, Luis Guanter, Marco Celesti, Micol Rossini, Neus Sabater, Sergio Cogliati, Tommaso Julitta, Uwe Rascher, Yves Goulas, Helge Aasen, Javier Pacheco-Labrador, Alasdair Mac Arthur:
Sun-Induced Chlorophyll Fluorescence III: Benchmarking Retrieval Methods and Sensor Characteristics for Proximal Sensing. Remote. Sens. 11(8): 962 (2019) - 2018
- [j5]Helge Aasen, Eija Honkavaara, Arko Lucieer, Pablo J. Zarco-Tejada:
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows. Remote. Sens. 10(7): 1091 (2018) - 2015
- [j4]Juliane Bendig, Kang Yu, Helge Aasen, Andreas Bolten, Simon Bennertz, Janis Broscheit, Martin L. Gnyp, Georg Bareth:
Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. Int. J. Appl. Earth Obs. Geoinformation 39: 79-87 (2015) - [j3]Andreas Burkart, Helge Aasen, Luis Alonso, Gunter Menz, Georg Bareth, Uwe Rascher:
Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer. Remote. Sens. 7(1): 725-746 (2015) - [j2]Nora Tilly, Helge Aasen, Georg Bareth:
Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass. Remote. Sens. 7(9): 11449-11480 (2015) - [j1]Nora Tilly, Helge Aasen, Georg Bareth:
Correction: Tilly, N. et al. Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass. Remote Sens. 2015, 7, 11449-11480. Remote. Sens. 7(12): 17291-17296 (2015)
Conference and Workshop Papers
- 2022
- [c4]Quirina Noëmi Merz, Achim Walter, Helge Aasen:
Using high-resolution drone data to assess apparent agricultural field heterogeneity at different spatial resolutions. GIL Jahrestagung 2022: 195-200 - 2018
- [c3]Kevin Keller, Raghav Khanna, Norbert Kirchgeßner, Roland Siegwart, Achim Walter, Helge Aasen:
Soybean Leaf Coverage Estimation for Field-Phenotyping. BMVC 2018: 331 - [c2]Helge Aasen:
UAV Spectroscopy: Current Sensors, Processing Techniques and Theoretical Concepts for Data Interpretation. IGARSS 2018: 8809-8812 - 2014
- [c1]Helge Aasen, Martin Leon Gnyp, Yuxin Miao, Georg Bareth:
Towards robust vegetation indices: The multi-correlation matrix strategy. WHISPERS 2014: 1-4
Informal and Other Publications
- 2024
- [i3]Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu:
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks. CoRR abs/2405.14438 (2024) - 2021
- [i2]Etienne David, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, Xu Wang, Francisco Pinto Espinosa, Shahameh Shafiee, Izzat S. A. Tahir, Hisashi Tsujimoto, Shuhei Nasuda, Bangyou Zheng, Norbert Kichgessner, Helge Aasen, Andreas Hund, Pouria Sadeghi-Tehran, Koichi Nagasawa, Goro Ishikawa, Sébastien Dandrifosse, Alexis Carlier, Benoit Mercatoris, Ken Kuroki, Haozhou Wang, Masanori Ishii, Minhajul A. Badhon, Curtis Pozniak, David Shaner LeBauer, Morten Lilimo, Jesse Poland, Scott C. Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo:
Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity. CoRR abs/2105.07660 (2021) - 2020
- [i1]Etienne David, Simon Madec, Pouria Sadeghi-Tehran, Helge Aasen, B. Zheng, Shouyang Liu, Norbert Kirchgeßner, Goro Ishikawa, Koichi Nagasawa, Minhajul A. Badhon, Curtis Pozniak, Benoit de Solan, Andreas Hund, Scott C. Chapman, Frédéric Baret, Ian Stavness, Wei Guo:
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods. CoRR abs/2005.02162 (2020)
Coauthor Index
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