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Sun-Induced Chlorophyll Fluorescence III: Benchmarking Retrieval Methods and Sensor Characteristics for Proximal Sensing., , , , , , , , , and 7 other author(s). Remote Sensing, 11 (8): 962 (2019)Multiangular Observation of Canopy Sun-Induced Chlorophyll Fluorescence by Combining Imaging Spectroscopy and Stereoscopy., , , , , and . Remote. Sens., 9 (5): 415 (2017)Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data., , , , , and . Remote. Sens., 13 (13): 2545 (2021)Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach., , , , , , , , and . Remote. Sens., 11 (5): 515 (2019)Response of Bean (Phaseolus vulgaris L.) to Elevated CO2 in Yield, Biomass and Chlorophyll Fluorescence., , , , , , , , and . IGARSS, page 5861-5864. IEEE, (2021)Deep Learning Based Prediction of Sun-Induced Fluorescence from Hyplant Imagery., , , , , , , , , and . IGARSS, page 2993-2996. IEEE, (2023)Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants., , , , , , , , and . UAI, page 852-862. AUAI Press, (2012)Sun-Induced Chlorophyll Fluorescence II: Review of Passive Measurement Setups, Protocols, and Their Application at the Leaf to Canopy Level., , , , , , , , , and 6 other author(s). Remote. Sens., 11 (8): 927 (2019)Evaluation of the Spatial Representativeness of In Situ SIF Observations for the Validation of Medium-Resolution Satellite SIF Products., , , , , , and . Remote. Sens., 14 (20): 5107 (2022)Assessment of plant density for barley and wheat using UAV multispectral imagery for high-throughput field phenotyping., , , , , , and . Comput. Electron. Agric., (2021)