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Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach., , , , , , , , and . Remote Sensing, 11 (5): 515 (2019)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 Sensing, 11 (8): 927 (2019)Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer., , , , , and . Remote Sensing, 7 (1): 725-746 (2015)Sun Induced Fluorescence Calibration and Validation for Field Phenotyping., , , , , , , , , and . IGARSS, page 8248-8251. IEEE, (2018)Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy Scales., , , , , , , , and . Remote Sensing, 11 (5): 488 (2019)Hyplant-Derived Sun-Induced Fluorescence - A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types., , , , , , , , , and 13 other author(s). Remote Sensing, 11 (14): 1691 (2019)Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers., , , , , , , , , and 3 other author(s). Remote Sensing, 11 (8): 960 (2019)Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers., , , , , , , , , and 2 other author(s). Remote Sensing, 8 (2): 122 (2016)