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The Spectral Species Concept in Living Color

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  • Duccio Rocchini, University of Bologna, Czech University of Life Sciences Prague
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  • Maria J. Santos, University of Zurich
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  • Susan L. Ustin, University of California at Davis
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  • Jean Baptiste Féret, Irstea
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  • Gregory P. Asner, Arizona State University
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  • Carl Beierkuhnlein, University of Bayreuth
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  • Michele Dalponte, Istituto Agrario San Michele all'Adige
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  • Hannes Feilhauer, Leipzig University
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  • Giles M. Foody, University of Nottingham
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  • Gary N. Geller, California Institute of Technology
  • ,
  • Thomas W. Gillespie, University of California at Los Angeles
  • ,
  • Kate S. He, Murray State University
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  • David Kleijn, Wageningen University & Research
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  • Pedro J. Leitão, Technical University of Braunschweig, Humboldt University of Berlin
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  • Marco Malavasi, Czech University of Life Sciences Prague, University of Sassari
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  • Vítězslav Moudrý, Czech University of Life Sciences Prague
  • ,
  • Jana Müllerová, Czech Academy of Sciences
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  • Harini Nagendra, Azim Premji University
  • ,
  • Signe Normand
  • Carlo Ricotta, University of Rome La Sapienza
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  • Michael E. Schaepman, University of Zurich
  • ,
  • Sebastian Schmidtlein, Karlsruhe Institute of Technology
  • ,
  • Andrew K. Skidmore, University of Twente, Macquarie University
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  • Petra Šímová, Czech University of Life Sciences Prague
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  • Michele Torresani, University of Bologna
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  • Philip A. Townsend, University of Wisconsin-Madison
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  • Woody Turner, National Aeronautics and Space Administration
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  • Petteri Vihervaara, Finnish Environment Institute
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  • Martin Wegmann, University of Würzburg
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  • Jonathan Lenoir, Universite de Picardie Jules Verne

Biodiversity monitoring is an almost inconceivable challenge at the scale of the entire Earth. The current (and soon to be flown) generation of spaceborne and airborne optical sensors (i.e., imaging spectrometers) can collect detailed information at unprecedented spatial, temporal, and spectral resolutions. These new data streams are preceded by a revolution in modeling and analytics that can utilize the richness of these datasets to measure a wide range of plant traits, community composition, and ecosystem functions. At the heart of this framework for monitoring plant biodiversity is the idea of remotely identifying species by making use of the ‘spectral species’ concept. In theory, the spectral species concept can be defined as a species characterized by a unique spectral signature and thus remotely detectable within pixel units of a spectral image. In reality, depending on spatial resolution, pixels may contain several species which renders species-specific assignment of spectral information more challenging. The aim of this paper is to review the spectral species concept and relate it to underlying ecological principles, while also discussing the complexities, challenges and opportunities to apply this concept given current and future scientific advances in remote sensing.

OriginalsprogEngelsk
Artikelnummere2022JG007026
TidsskriftJournal of Geophysical Research: Biogeosciences
Vol/bind127
Nummer9
Antal sider13
ISSN2169-8953
DOI
StatusUdgivet - sep. 2022

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