Evidence map›Paper›PMID 33414568›Full record

ArticleRemote sensing of environment2019

Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress.

Gina H Mohammed, Roberto Colombo, Elizabeth M Middleton, Uwe Rascher, Christiaan van der Tol, Ladislav Nedbal, Yves Goulas, Oscar Pérez-Priego, Alexander Damm, Michele Meroni and 12 more

Open access · greenAbstract read
In one paragraph

Article in Remote sensing of environment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
52.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 715 citations in OpenAlex.

  1. Canopy chlorophyll fluorescence escape fraction under polychromatic irradiation.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 17 institutions in 10 countries.

Gina H MohammedP&M Technologies, Sault Ste. Marie, Ontario, Canada.
Roberto ColomboRemote Sensing of Environmental Dynamics Lab., University of Milano - Bicocca, Milan, Italy.
Elizabeth M MiddletonNASA/Goddard Space Flight Center, Greenbelt, Maryland, United States.
Uwe RascherForschungszentrum Jülich, Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Jülich, Germany.
Christiaan van der TolUniversity of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands.
Ladislav NedbalForschungszentrum Jülich, Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Jülich, Germany.
Yves GoulasCNRS, Laboratoire de Météorologie Dynamique (LMD), Ecole Polytechnique, Palaiseau, France.
Oscar Pérez-PriegoDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
Alexander DammDepartment of Geography, University of Zurich, Zurich, Switzerland.
Michele MeroniEuropean Commission, Joint Research Centre (JRC), Ispra (VA), Italy.
Joanna JoinerNASA/Goddard Space Flight Center, Greenbelt, Maryland, United States.
Sergio CogliatiRemote Sensing of Environmental Dynamics Lab., University of Milano - Bicocca, Milan, Italy.
Wouter VerhoefUniversity of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands.
Zbyněk MalenovskýDepartment of Geography and Spatial Sciences, School of Technology, Environments and Design, College of Sciences and Engineering, University of Tasmania, Hobart, Australia.
Jean-Philippe Gastellu-EtchegorryCentre d'Etudes Spatiales de la BIOsphère - UPS, CNES, CNRS, IRD, Université de Toulouse, Toulouse, France.
John R MillerDepartment of Earth and Space Science and Engineering, York University, Toronto, Canada.
Luis GuanterGerman Research Center for Geosciences (GFZ), Remote Sensing Section, Potsdam, Germany.
Jose MorenoDepartment of Earth Physics and Thermodynamics, University of Valencia, Valencia, Spain.
Ismael MoyaCNRS, Laboratoire de Météorologie Dynamique (LMD), Ecole Polytechnique, Palaiseau, France.
Joseph A BerryDepartment of Global Ecology, Carnegie Institution of Washington, Stanford, California, United States.
Christian FrankenbergJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, United States.
Pablo J Zarco-TejadaEuropean Commission, Joint Research Centre (JRC), Ispra (VA), Italy.
Centre National de la Recherche Scientifique · FRForschungszentrum Jülich · DEGoddard Space Flight Center · USConsejo Superior de Investigaciones Científicas · ESGFZ Helmholtz Centre for Geosciences · DEIstituto Superiore per la Protezione e la Ricerca Ambientale · ITJet Propulsion Laboratory · USMax Planck Institute for Biogeochemistry · DENational Laboratory of the Rockies · USNetherlands Aerospace Centre · NLTarget (United States) · USUniversité Toulouse III - Paul Sabatier · FRUniversity of Milan · ITUniversity of Milano-Bicocca · ITUniversity of Tasmania · AUUniversity of Twente · NLUniversity of Zurich · CH

Funding

Science Earth Science System NASA
6 · The paper itself

Abstract

Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front in terrestrial vegetation science, with emerging capability in space-based methodologies and diverse application prospects. Although remote sensing of SIF - especially from space - is seen as a contemporary new specialty for terrestrial plants, it is founded upon a multi-decadal history of research, applications, and sensor developments in active and passive sensing of chlorophyll fluorescence. Current technical capabilities allow SIF to be measured across a range of biological, spatial, and temporal scales. As an optical signal, SIF may be assessed remotely using highly-resolved spectral sensors and state-of-the-art algorithms to distinguish the emission from reflected and/or scattered ambient light. Because the red to far-red SIF emission is detectable non-invasively, it may be sampled repeatedly to acquire spatio-temporally explicit information about photosynthetic light responses and steady-state behaviour in vegetation. Progress in this field is accelerating with innovative sensor developments, retrieval methods, and modelling advances. This review distills the historical and current developments spanning the last several decades. It highlights SIF heritage and complementarity within the broader field of fluorescence science, the maturation of physiological and radiative transfer modelling, SIF signal retrieval strategies, techniques for field and airborne sensing, advances in satellite-based systems, and applications of these capabilities in evaluation of photosynthesis and stress effects. Progress, challenges, and future directions are considered for this unique avenue of remote sensing.

Indexed as

(10) Passive techniques(11) Review(1) Sun-induced fluorescence(2) Steady-state photosynthesis(3) Stress detection(4) Radiative transfer modelling(5) SIF retrieval methods(6) Satellite sensors(7) Airborne instruments(8) Applications(9) Terrestrial vegetation

Identifiers

PMID33414568
PMCPMC7787158
OpenAlexW2956697767

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.