| 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 | 1125 | 2015 |
| Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging J Bendig, A Bolten, S Bennertz, J Broscheit, S Eichfuss, G Bareth Remote Sensing 6 (11), 10395-10412, 2014 | 767 | 2014 |
| UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor Crop Growth VariabilityMonitoring des Pflanzenwachstums mit Hilfe multitemporaler und … J Bendig, A Bolten, G Bareth Photogrammetrie-Fernerkundung-Geoinformation 2013 (6), 551-562, 2013 | 219* | 2013 |
| Low-weight and UAV-based hyperspectral full-frame cameras for monitoring crops: Spectral comparison with portable spectroradiometer measurements G Bareth, H Aasen, J Bendig, ML Gnyp, A Bolten, A Jung, R Michels, ... Photogrammetrie-Fernerkundung-Geoinformation 2015 (1), 69-79, 2015 | 173 | 2015 |
| Introducing a low-cost mini-UAV for thermal-and multispectral-imaging J Bendig, A Bolten, G Bareth The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2012 | 163 | 2012 |
| 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 | 92 | 2016 |
| Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring in Northeast China J Bendig, M Willkomm, N Tilly, ML Gnyp, S Bennertz, C Qiang, Y Miao, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2013 | 80 | 2013 |
| Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs H Aasen, J Bendig, A Bolten, S Bennertz, M Willkomm, G Bareth ISPRS Technical Commission VII Symposium 40, 1-8, 2014 | 39 | 2014 |
| Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art JQ Vargas, J Bendig, A Mac Arthur, A Burkart, T Julitta, K Maseyk, ... Remote Sensing 12 (10), 1624, 2020 | 34 | 2020 |
| Influence of Cosine Corrector and UAS Platform Dynamics on Airborne Spectral Irradiance Measurements J Bendig, D Gautam, Z Malenovský, A Lucieer IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 33 | 2018 |
| Toward an automated low-cost three-dimensional crop surface monitoring system using oblique stereo imagery from consumer-grade smart cameras S Brocks, J Bendig, G Bareth Journal of Applied Remote Sensing 10 (4), 046021-046021, 2016 | 29 | 2016 |
| Solar-Induced Chlorophyll Fluorescence Measured From an Unmanned Aircraft System: Sensor Etaloning and Platform Motion Correction J Bendig, Z Malenovský, D Gautam, A Lucieer IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3437-3444, 2020 | 28 | 2020 |
| Spatial variability detection of crop height in a single field by terrestrial laser scanning D Hoffmeister, G Waldhoff, C Curdt, N Tilly, J Bendig, G Bareth Precision agriculture’13, 267-274, 2013 | 24 | 2013 |
| Unmanned aerial vehicles (UAVs) for multi-temporal crop surface modelling. A new method for plant height and biomass estimation based on RGB-imaging JV Bendig Universität zu Köln, 2015 | 21 | 2015 |
| 3D terres-trial laser scanning for field crop modelling D Hoffmeister, C Curdt, N Tilly, J Bendig Workshop on Remote Sensing Methods for Change Detection and Process …, 2010 | 20 | 2010 |
| Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy E Chakhvashvili, B Siegmann, O Muller, J Verrelst, J Bendig, T Kraska, ... Remote Sensing 14 (5), 1247, 2022 | 19 | 2022 |
| Footprint determination of a spectroradiometer mounted on an unmanned aircraft system D Gautam, A Lucieer, J Bendig, Z Malenovský IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3085-3096, 2020 | 18 | 2020 |
| Spectral comparison of low-weight and UAV-based hyperspectral frame cameras with portable spectroradiometer measurements G Bareth, H Aasen, J Bendig, ML Gnyp, A Bolten, A Jung, R Michels, ... Proceedings of the Workshop on UAV-basaed Remote Sensing Methods for …, 2014 | 10 | 2014 |
| Comparison of Reflectance Calibration Workflows for a UAV-Mounted Multi-Camera Array System E Chakhvashvili, B Siegmann, J Bendig, U Rascher 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8225 …, 2021 | 7 | 2021 |
| Detektion von Wachstumsvariabilität in vier Zuckerrübensorten durch multi-temporales terrestrisches Laserscanning. D Hoffmeister, N Tilly, J Bendig, C Curdt, G Bareth GIL Jahrestagung, 135-138, 2012 | 7 | 2012 |
Andreas BoltenUniversity of CologneVerified email at uni-koeln.de
