The High-Performance Airborne Imaging Spectrometer HyPlant—From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing ChainBastian Siegmann, Uwe Rascher, Luis Alonso et al.|Remote Sensing|2019Cited by 92
Sun-Induced Chlorophyll Fluorescence III: Benchmarking Retrieval Methods and Sensor Characteristics for Proximal SensingMaria Pilar Cendrero‐Mateo, Alasdair MacArthur, Sebastian Wieneke et al.|Remote Sensing|2019Cited by 90
Estimation of leaf nitrogen content and photosynthetic nitrogen use efficiency in wheat using sun-induced chlorophyll fluorescence at the leaf and canopy scalesMin Jia, Xia Yao, Roberto Colombo et al.|European Journal of Agronomy|2020Cited by 88
Analysis of Red and Far-Red Sun-Induced Chlorophyll Fluorescence and Their Ratio in Different Canopies Based on Observed and Modeled DataMicol Rossini, Roberto Colombo, Michele Meroni et al.|Remote Sensing|2016Cited by 73
A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy RadianceSergio Cogliati, Roberto Colombo, Marco Celesti et al.|Remote Sensing|2019Cited by 61