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Helge Aasen
Helge Aasen
Earth Observation of Agroecosystems Team, Agroscope - Swiss centre of excellence for agricultural
Verified email at agroscope.admin.ch - Homepage
Title
Cited by
Cited by
Year
Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
J Bendig, K Yu, H Aasen, A Bolten, S Bennertz, J Broscheit, ML Gnyp, ...
International Journal of Applied Earth Observation and Geoinformation 39, 79-87, 2015
11032015
Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
H Aasen, E Honkavaara, A Lucieer, PJ Zarco-Tejada
Remote Sensing 10 (7), 1091, 2018
5042018
Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
H Aasen, A Burkart, A Bolten, G Bareth
ISPRS Journal of Photogrammetry and Remote Sensing 108, 245-259, 2015
5012015
Fusion of plant height and vegetation indices for the estimation of barley biomass
N Tilly, H Aasen, G Bareth
Remote Sensing 7 (9), 11449-11480, 2015
2172015
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
E David, S Madec, P Sadeghi-Tehran, H Aasen, B Zheng, S Liu, ...
Plant Phenomics, 2020
1932020
Current practices in UAS-based environmental monitoring
G Tmušić, S Manfreda, H Aasen, MR James, G Gonçalves, E Ben-Dor, ...
Remote Sensing 12 (6), 1001, 2020
1812020
low-weight and UAV-based hyperspectral full-frame cameras for monitor-ing crops: spectral comparison with portable spectroradiometer measure-ments
G Bareth, H Aasen, J Bendig, ML Gnyp, A Bolten, A Jung, R Michels, ...
Unmanned aerial vehicles (UAVs) for multi-temporal crop surface modelling …, 2015
1722015
Angular dependency of hyperspectral measurements over wheat characterized by a novel UAV based goniometer
A Burkart, H Aasen, L Alonso, G Menz, G Bareth, U Rascher
Remote sensing 7 (1), 725-746, 2015
1402015
Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2D imagers–From theory to application
H Aasen, A Bolten
Remote sensing of environment 205, 374-389, 2018
1012018
Spectral vegetation indices to track senescence dynamics in diverse wheat germplasm
J Anderegg, K Yu, H Aasen, A Walter, F Liebisch, A Hund
Frontiers in plant science 10, 466315, 2020
972020
A comparison of UAV-and TLS-derived plant height for crop monitoring: using polygon grids for the analysis of crop surface models (CSMs)
G Bareth, J Bendig, N Tilly, D Hoffmeister, H Aasen, A Bolten
Photogramm. Fernerkund. Geoinf 2016, 85-94, 2016
902016
Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography
L Roth, H Aasen, A Walter, F Liebisch
ISPRS Journal of Photogrammetry and Remote Sensing 141, 161-175, 2018
882018
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
K Berger, M Machwitz, M Kycko, SC Kefauver, S Van Wittenberghe, ...
Remote sensing of environment 280, 113198, 2022
712022
Sun-induced chlorophyll fluorescence III: Benchmarking retrieval methods and sensor characteristics for proximal sensing
MP Cendrero-Mateo, S Wieneke, A Damm, L Alonso, F Pinto, J Moreno, ...
Remote Sensing 11 (8), 962, 2019
702019
Sun-induced chlorophyll fluorescence II: Review of passive measurement setups, protocols, and their application at the leaf to canopy level
H Aasen, S Van Wittenberghe, N Sabater Medina, A Damm, Y Goulas, ...
Remote Sensing 11 (8), 927, 2019
702019
Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods
E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ...
Plant Phenomics, 2021
672021
Assessment of multi-image unmanned aerial vehicle based high-throughput field phenotyping of canopy temperature
G Perich, A Hund, J Anderegg, L Roth, MP Boer, A Walter, F Liebisch, ...
Frontiers in plant science 11, 482307, 2020
562020
PhenoFly Planning Tool: flight planning for high-resolution optical remote sensing with unmanned areal systems
L Roth, A Hund, H Aasen
Plant methods 14, 1-21, 2018
552018
PhenoCams for field phenotyping: using very high temporal resolution digital repeated photography to investigate interactions of growth, phenology, and harvest traits
H Aasen, N Kirchgessner, A Walter, F Liebisch
Frontiers in Plant Science 11, 512245, 2020
392020
Sun-induced chlorophyll fluorescence I: Instrumental considerations for proximal spectroradiometers
J Pacheco-Labrador, A Hueni, L Mihai, K Sakowska, T Julitta, J Kuusk, ...
Remote Sensing 11 (8), 960, 2019
392019
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