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Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress.
Mohammed, Gina H; Colombo, Roberto; Middleton, Elizabeth M; Rascher, Uwe; van der Tol, Christiaan; Nedbal, Ladislav; Goulas, Yves; Pérez-Priego, Oscar; Damm, Alexander; Meroni, Michele; Joiner, Joanna; Cogliati, Sergio; Verhoef, Wouter; Malenovský, Zbynek; Gastellu-Etchegorry, Jean-Philippe; Miller, John R; Guanter, Luis; Moreno, Jose; Moya, Ismael; Berry, Joseph A; Frankenberg, Christian; Zarco-Tejada, Pablo J.
Afiliación
  • Mohammed GH; P&M Technologies, Sault Ste. Marie, Ontario, Canada.
  • Colombo R; Remote Sensing of Environmental Dynamics Lab., University of Milano - Bicocca, Milan, Italy.
  • Middleton EM; NASA/Goddard Space Flight Center, Greenbelt, Maryland, United States.
  • Rascher U; Forschungszentrum Jülich, Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Jülich, Germany.
  • van der Tol C; University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands.
  • Nedbal L; Forschungszentrum Jülich, Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Jülich, Germany.
  • Goulas Y; CNRS, Laboratoire de Météorologie Dynamique (LMD), Ecole Polytechnique, Palaiseau, France.
  • Pérez-Priego O; Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Damm A; Department of Geography, University of Zurich, Zurich, Switzerland.
  • Meroni M; Eawag, Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland.
  • Joiner J; European Commission, Joint Research Centre (JRC), Ispra (VA), Italy.
  • Cogliati S; NASA/Goddard Space Flight Center, Greenbelt, Maryland, United States.
  • Verhoef W; Remote Sensing of Environmental Dynamics Lab., University of Milano - Bicocca, Milan, Italy.
  • Malenovský Z; University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands.
  • Gastellu-Etchegorry JP; Department of Geography and Spatial Sciences, School of Technology, Environments and Design, College of Sciences and Engineering, University of Tasmania, Hobart, Australia.
  • Miller JR; Centre d'Etudes Spatiales de la BIOsphère - UPS, CNES, CNRS, IRD, Université de Toulouse, Toulouse, France.
  • Guanter L; Department of Earth and Space Science and Engineering, York University, Toronto, Canada.
  • Moreno J; German Research Center for Geosciences (GFZ), Remote Sensing Section, Potsdam, Germany.
  • Moya I; Department of Earth Physics and Thermodynamics, University of Valencia, Valencia, Spain.
  • Berry JA; CNRS, Laboratoire de Météorologie Dynamique (LMD), Ecole Polytechnique, Palaiseau, France.
  • Frankenberg C; Department of Global Ecology, Carnegie Institution of Washington, Stanford, California, United States.
  • Zarco-Tejada PJ; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, United States.
Remote Sens Environ ; 2312019 Sep 15.
Article en En | MEDLINE | ID: mdl-33414568
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Remote Sens Environ Año: 2019 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Remote Sens Environ Año: 2019 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos