The contribution presents the development and testing of a fluorescence retrieval scheme based on the ESA's FLuorescence EXplorer mission concept. The algorithm employs on a coupled surface-atmosphere forward model at oxygen absorption bands: i) the atmospheric effect is computed by MODTRAN5; ii) the surface reflectance and fluorescence are modeled by means of the Spectral Fitting approach. The algorithm, previously tested on numerical simulations, was further implemented and optimized to process real observations collected by the FLEX airborne demonstrator HyPlant. The retrieval scheme has been tested on a number of flight lines collected in several locations, different ecosystems types, atmospheric conditions and instrument observation conditions. For the first time, this work shows the capability of retrieving canopy fluorescence from real airborne observations by means of a physically-based algorithm as envisaged for FLEX. The results achieved on the large core data sets of imageries show the consistency of the physical retrieval algorithm for a wide range of scenarios and fluorescence values are in line with ground observations.

Cogliati, S., Colombo, R., Celesti, M., Tagliabue, G., Rascher, U., Schickling, A., et al. (2018). Red and far-red fluorescence emission retrieval from airborne high-resolution spectra collected by the hyplant-fluo sensor. In IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (pp.3935-3938). Institute of Electrical and Electronics Engineers Inc. [10.1109/IGARSS.2018.8517758].

Red and far-red fluorescence emission retrieval from airborne high-resolution spectra collected by the hyplant-fluo sensor

Cogliati S.
;
Colombo R.;Celesti M.;Tagliabue G.;
2018

Abstract

The contribution presents the development and testing of a fluorescence retrieval scheme based on the ESA's FLuorescence EXplorer mission concept. The algorithm employs on a coupled surface-atmosphere forward model at oxygen absorption bands: i) the atmospheric effect is computed by MODTRAN5; ii) the surface reflectance and fluorescence are modeled by means of the Spectral Fitting approach. The algorithm, previously tested on numerical simulations, was further implemented and optimized to process real observations collected by the FLEX airborne demonstrator HyPlant. The retrieval scheme has been tested on a number of flight lines collected in several locations, different ecosystems types, atmospheric conditions and instrument observation conditions. For the first time, this work shows the capability of retrieving canopy fluorescence from real airborne observations by means of a physically-based algorithm as envisaged for FLEX. The results achieved on the large core data sets of imageries show the consistency of the physical retrieval algorithm for a wide range of scenarios and fluorescence values are in line with ground observations.
paper
FLEX; HyPlant; SIF; Spectral-Fitting; Sun-Induced Chlorophyll Fluorescence
English
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
2018
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
978-1-5386-7150-4
2018
2018
3935
3938
8517758
https://ieeexplore.ieee.org/document/8517758
open
Cogliati, S., Colombo, R., Celesti, M., Tagliabue, G., Rascher, U., Schickling, A., et al. (2018). Red and far-red fluorescence emission retrieval from airborne high-resolution spectra collected by the hyplant-fluo sensor. In IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (pp.3935-3938). Institute of Electrical and Electronics Engineers Inc. [10.1109/IGARSS.2018.8517758].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/241512
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