Mapping functional diversity from remotely sensed morphological and physiological forest traits

As remote sensing technology improves, it is now possible to map fine-scale variation in plant functional traits. Schneider et al. remotely sense tree functional diversity, validate with field data, and reveal patterns of plant adaptation to the environment previously not retrievable from plot data

Bibliographic Details
Main Authors: Fabian D. Schneider, Felix Morsdorf, Bernhard Schmid, Owen L. Petchey, Andreas Hueni, David S. Schimel, Michael E. Schaepman
Format: Article
Language:English
Published: Nature Portfolio 2017-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-017-01530-3
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author Fabian D. Schneider
Felix Morsdorf
Bernhard Schmid
Owen L. Petchey
Andreas Hueni
David S. Schimel
Michael E. Schaepman
author_facet Fabian D. Schneider
Felix Morsdorf
Bernhard Schmid
Owen L. Petchey
Andreas Hueni
David S. Schimel
Michael E. Schaepman
author_sort Fabian D. Schneider
collection DOAJ
description As remote sensing technology improves, it is now possible to map fine-scale variation in plant functional traits. Schneider et al. remotely sense tree functional diversity, validate with field data, and reveal patterns of plant adaptation to the environment previously not retrievable from plot data
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spelling doaj.art-6fd9403f9d974f27ace82549e5e155032022-12-21T19:27:57ZengNature PortfolioNature Communications2041-17232017-11-018111210.1038/s41467-017-01530-3Mapping functional diversity from remotely sensed morphological and physiological forest traitsFabian D. Schneider0Felix Morsdorf1Bernhard Schmid2Owen L. Petchey3Andreas Hueni4David S. Schimel5Michael E. Schaepman6Remote Sensing Laboratories, Department of Geography, University of ZurichRemote Sensing Laboratories, Department of Geography, University of ZurichDepartment of Evolutionary Biology and Environmental Studies, University of ZurichDepartment of Evolutionary Biology and Environmental Studies, University of ZurichRemote Sensing Laboratories, Department of Geography, University of ZurichJet Propulsion Laboratory, California Institute of TechnologyRemote Sensing Laboratories, Department of Geography, University of ZurichAs remote sensing technology improves, it is now possible to map fine-scale variation in plant functional traits. Schneider et al. remotely sense tree functional diversity, validate with field data, and reveal patterns of plant adaptation to the environment previously not retrievable from plot datahttps://doi.org/10.1038/s41467-017-01530-3
spellingShingle Fabian D. Schneider
Felix Morsdorf
Bernhard Schmid
Owen L. Petchey
Andreas Hueni
David S. Schimel
Michael E. Schaepman
Mapping functional diversity from remotely sensed morphological and physiological forest traits
Nature Communications
title Mapping functional diversity from remotely sensed morphological and physiological forest traits
title_full Mapping functional diversity from remotely sensed morphological and physiological forest traits
title_fullStr Mapping functional diversity from remotely sensed morphological and physiological forest traits
title_full_unstemmed Mapping functional diversity from remotely sensed morphological and physiological forest traits
title_short Mapping functional diversity from remotely sensed morphological and physiological forest traits
title_sort mapping functional diversity from remotely sensed morphological and physiological forest traits
url https://doi.org/10.1038/s41467-017-01530-3
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