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Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types., , , , , , , , , and 6 other author(s). Remote. Sens., 14 (4): 954 (2022)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)Sun Induced Fluorescence Calibration and Validation for Field Phenotyping., , , , , , , , , and . IGARSS, page 8248-8251. IEEE, (2018)Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art., , , , , , , , , and 4 other author(s). Remote. Sens., 12 (10): 1624 (2020)GrowliFlower: An image time-series dataset for GROWth analysis of cauLIFLOWER., , , , , , , , and . J. Field Robotics, 40 (2): 173-192 (March 2023)Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers., , , , , , , , , and 3 other author(s). Remote Sensing, 11 (8): 960 (2019)GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER., , , , , , , , and . CoRR, (2022)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)Hyplant-Derived Sun-Induced Fluorescence - A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types., , , , , , , , , and 13 other author(s). Remote. Sens., 11 (14): 1691 (2019)Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy Scales., , , , , , , , and . Remote. Sens., 11 (5): 488 (2019)