Exploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem.

APAR Airborne spectroscopy BESS Forest ecosystems GPP HyPlant INFORM LUE Plant traits Spectral fitting method Sun-induced chlorophyll fluorescence

Journal

Remote sensing of environment
ISSN: 0034-4257
Titre abrégé: Remote Sens Environ
Pays: United States
ID NLM: 101572538

Informations de publication

Date de publication:
Sep 2019
Historique:
entrez: 9 9 2022
pubmed: 1 9 2019
medline: 1 9 2019
Statut: ppublish

Résumé

Terrestrial gross primary productivity (GPP) plays an essential role in the global carbon cycle, but the quantification of the spatial and temporal variations in photosynthesis is still largely uncertain. Our work aimed to investigate the potential of remote sensing to provide new insights into plant photosynthesis at a fine spatial resolution. This goal was achieved by exploiting high-resolution images acquired with the FLuorescence EXplorer (FLEX) airborne demonstrator

Identifiants

pubmed: 36082142
doi: 10.1016/j.rse.2019.111272
pmc: PMC7613358
mid: EMS152630
doi:

Types de publication

Journal Article

Langues

eng

Pagination

111272

Subventions

Organisme : European Research Council
ID : 755617
Pays : International

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Auteurs

Giulia Tagliabue (G)

Remote Sensing of Environmental Dynamics Laboratory, University of Milano - Bicocca, Milan, Italy.

Cinzia Panigada (C)

Remote Sensing of Environmental Dynamics Laboratory, University of Milano - Bicocca, Milan, Italy.

Benjamin Dechant (B)

Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, Republic of Korea.

Frédéric Baret (F)

Institut National de la Recherche Agronomique, Paris, France.

Sergio Cogliati (S)

Remote Sensing of Environmental Dynamics Laboratory, University of Milano - Bicocca, Milan, Italy.

Roberto Colombo (R)

Remote Sensing of Environmental Dynamics Laboratory, University of Milano - Bicocca, Milan, Italy.

Mirco Migliavacca (M)

Max Planck Institute for Biogeochemistry, Jena, Germany.

Patrick Rademske (P)

Institute of Bio- and Geosciences (IBG-2), Forschungszentrum Jülich GmbH, Jülich, Germany.

Anke Schickling (A)

Institute of Bio- and Geosciences (IBG-2), Forschungszentrum Jülich GmbH, Jülich, Germany.

Dirk Schüttemeyer (D)

German Aerospace Center (DLR), Bonn, Germany.

Jochem Verrelst (J)

Image Processing Laboratory, University of Valencia, Valencia, Spain.

Uwe Rascher (U)

Institute of Bio- and Geosciences (IBG-2), Forschungszentrum Jülich GmbH, Jülich, Germany.

Youngryel Ryu (Y)

Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, Republic of Korea.

Micol Rossini (M)

Remote Sensing of Environmental Dynamics Laboratory, University of Milano - Bicocca, Milan, Italy.

Classifications MeSH