| Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data B Siegmann, T Jarmer International journal of remote sensing 36 (18), 4519-4534, 2015 | 104 | 2015 |
| 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 | 97 | 2022 |
| Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture K Koenig, B Höfle, M Hämmerle, T Jarmer, B Siegmann, H Lilienthal ISPRS Journal of Photogrammetry and Remote Sensing 104, 112-125, 2015 | 84 | 2015 |
| Quantifying lodging percentage and lodging severity using a UAV-based canopy height model combined with an objective threshold approach N Wilke, B Siegmann, L Klingbeil, A Burkart, T Kraska, O Muller, ... Remote Sensing 11 (5), 515, 2019 | 79 | 2019 |
| The high-performance airborne imaging spectrometer HyPlant—From raw images to top-of-canopy reflectance and fluorescence products: Introduction of an automatized processing chain B Siegmann, L Alonso, M Celesti, S Cogliati, R Colombo, A Damm, ... Remote sensing 11 (23), 2760, 2019 | 66 | 2019 |
| Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses Y Zeng, M Chen, D Hao, A Damm, G Badgley, U Rascher, JE Johnson, ... Remote Sensing of Environment 270, 112856, 2022 | 59 | 2022 |
| Land surface temperature retrieval for agricultural areas using a novel UAV platform equipped with a thermal infrared and multispectral sensor S Heinemann, B Siegmann, F Thonfeld, J Muro, C Jedmowski, A Kemna, ... Remote Sensing 12 (7), 1075, 2020 | 43 | 2020 |
| 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 | 36 | 2020 |
| Response times of remote sensing measured sun-induced chlorophyll fluorescence, surface temperature and vegetation indices to evolving soil water limitation in a crop canopy A Damm, S Cogliati, R Colombo, L Fritsche, A Genangeli, L Genesio, ... Remote Sensing of Environment 273, 112957, 2022 | 34 | 2022 |
| On the potential of Wireless Sensor Networks for the in-situ assessment of crop leaf area index J Bauer, B Siegmann, T Jarmer, N Aschenbruck Computers and Electronics in Agriculture 128, 149-159, 2016 | 33 | 2016 |
| Regionalization of uncovered agricultural soils based on organic carbon and soil texture estimations M Kanning, B Siegmann, T Jarmer Remote Sensing 8 (11), 927, 2016 | 31 | 2016 |
| Assessment of plant density for barley and wheat using UAV multispectral imagery for high-throughput field phenotyping N Wilke, B Siegmann, JA Postma, O Muller, V Krieger, R Pude, U Rascher Computers and Electronics in Agriculture 189, 106380, 2021 | 30 | 2021 |
| The potential of pan-sharpened EnMAP data for the assessment of wheat LAI B Siegmann, T Jarmer, F Beyer, M Ehlers Remote Sensing 7 (10), 12737-12762, 2015 | 30 | 2015 |
| Downscaling of far-red solar-induced chlorophyll fluorescence of different crops from canopy to leaf level using a diurnal data set acquired by the airborne imaging … B Siegmann, MP Cendrero-Mateo, S Cogliati, A Damm, J Gamon, ... Remote sensing of environment 264, 112609, 2021 | 26 | 2021 |
| Smart fLAIr: A smartphone application for fast LAI retrieval using ambient light sensors J Bauer, B Siegmann, T Jarmer, N Aschenbruck 2016 IEEE sensors applications symposium (SAS), 1-6, 2016 | 23 | 2016 |
| 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 | 21 | 2022 |
| Processing and filtering of leaf area index time series assessed by in-situ wireless sensor networks J Bauer, T Jarmer, S Schittenhelm, B Siegmann, N Aschenbruck Computers and electronics in agriculture 165, 104867, 2019 | 20 | 2019 |
| Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration B Siegmann, T Jarmer, H Lilienthal, N Richter, T Selige, B Höfled Proceedings of the 8th EARSeL Workshop on Imaging Spectroscopy, Nantes …, 2013 | 20 | 2013 |
| Towards consistent assessments of in situ radiometric measurements for the validation of fluorescence satellite missions B Buman, A Hueni, R Colombo, S Cogliati, M Celesti, T Julitta, A Burkart, ... Remote Sensing of Environment 274, 112984, 2022 | 19 | 2022 |
| Hyperspectral imaging for high-throughput vitality monitoring in ornamental plant production M Ruett, LV Junker-Frohn, B Siegmann, J Ellenberger, H Jaenicke, ... Scientia Horticulturae 291, 110546, 2022 | 15 | 2022 |
Uwe RascherProfessor of Quantitative Crop PhysiologyVerified email at fz-juelich.de
