1. Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
- Author
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Zbyněk Malenovský, Uwe Rascher, Wouter Verhoef, Joseph A. Berry, Alexander Damm, Jose Moreno, Ladislav Nedbal, Pablo J. Zarco-Tejada, Roberto Colombo, Luis Guanter, Joanna Joiner, Christiaan van der Tol, Oscar Perez-Priego, Yves Goulas, Ismael Moya, Sergio Cogliati, Elizabeth M. Middleton, Gina H. Mohammed, Michele Meroni, John R. Miller, Jean-Philippe Gastellu-Etchegorry, Christian Frankenberg, Australian Research Council, European Space Agency, University of Zurich, Mohammed, Gina H, Mohammed, G, Colombo, R, Middleton, E, Rascher, U, van der Tol, C, Nedbal, L, Goulas, Y, Pérez-Priego, O, Damm, A, Meroni, M, Joiner, J, Cogliati, S, Verhoef, W, Malenovský, Z, Gastellu-Etchegorry, J, Miller, J, Guanter, L, Moreno, J, Moya, I, Berry, J, Frankenberg, C, and Zarco-Tejada, P
- Subjects
010504 meteorology & atmospheric sciences ,FIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTRE ,0208 environmental biotechnology ,Soil Science ,Review ,02 engineering and technology ,Photochemical Reflectance Index ,01 natural sciences ,Article ,GEO/11 - GEOFISICA APPLICATA ,SIF retrieval methods ,Radiative transfer modelling ,Radiative transfer ,910 Geography & travel ,Computers in Earth Sciences ,Chlorophyll fluorescence ,1111 Soil Science ,1907 Geology ,Airborne instruments ,0105 earth and related environmental sciences ,Remote sensing ,Stress detection ,GEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA ,1903 Computers in Earth Sciences ,Primary production ,Geology ,Vegetation ,Passive optical techniques ,Field (geography) ,020801 environmental engineering ,GEO/10 - GEOFISICA DELLA TERRA SOLIDA ,10122 Institute of Geography ,Sun-induced fluorescence ,Remote sensing (archaeology) ,Sun-induced fluorescence, Steady-state photosynthesis, Stress detection, Radiative transfer modelling, SIF retrieval methods. Satellite sensors, Airborne instruments, Applications, Terrestrial vegetation, Passive optical techniques. Review ,Applications ,Terrestrial vegetation ,Environmental science ,Satellite ,Steady-state photosynthesis ,Satellite sensors - 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 high-resolution spectral sensors in tandem with 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., In addition, we recognize the following funding: Zbyněk Malenovský was supported by the Australian Research Council Future Fellowship Bridging Scales in Remote Sensing of Vegetation Stress (FT160100477). Uwe Rascher acknowledges the SEN2Exp project funded by the European Space Agency in supporting part of this work.
- Published
- 2019