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Remote sensing of sun-induced chlorophyll fluorescence at different scales., , , , , , , , , and 9 other author(s). WHISPERS, page 1-4. IEEE, (2014)Analysis of Red and Far-Red Sun-Induced Chlorophyll Fluorescence and Their Ratio in Different Canopies Based on Observed and Modeled Data., , , , , , , , and . Remote Sensing, 8 (5): 412 (2016)Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions., , , , , , , , , and 1 other author(s). Remote Sensing, 12 (3): 514 (2020)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)Red and Far-Red Fluorescence Emission Retrieval from Airborne High-Resolution Spectra Collected by the Hyplant-Fluo Sensor., , , , , , , , , and 1 other author(s). IGARSS, page 3935-3938. IEEE, (2018)A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance., , , , , , , , , and 1 other author(s). Remote Sensing, 11 (16): 1840 (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., , , , , , , , , and 14 other author(s). Remote Sensing, 11 (23): 2760 (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)