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Remote sensing based net primary productivity estimation - results from 16-years global modelling for Europe, Central Asia and Western Siberia

Eisfelder, Christina and Gessner, Ursula and Tum, Markus and Zeidler, Julian (2018) Remote sensing based net primary productivity estimation - results from 16-years global modelling for Europe, Central Asia and Western Siberia. In: Novel methods and results of landscape research in Europe, Central Asia and Siberia. Vol III Landscape Monitoring and Modelling Russian Academy of Sciences. pp. 204-208.

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Item URL in elib:https://elib.dlr.de/122394/
Document Type:Contribution to a Collection
Title:Remote sensing based net primary productivity estimation - results from 16-years global modelling for Europe, Central Asia and Western Siberia
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Eisfelder, Christinachristina.eisfelder (at) dlr.deUNSPECIFIED
Gessner, Ursulaursula.gessner (at) dlr.deUNSPECIFIED
Tum, Markusmarkus.tum (at) dlr.deUNSPECIFIED
Zeidler, Julianjulian.zeidler (at) dlr.deUNSPECIFIED
Date:2018
Journal or Publication Title:Novel methods and results of landscape research in Europe, Central Asia and Siberia. Vol III Landscape Monitoring and Modelling
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:3
Page Range:pp. 204-208
Editors:
EditorsEmail
Sychev, Viktor G.UNSPECIFIED
Mueller, LotharUNSPECIFIED
Publisher:Russian Academy of Sciences
Status:Published
Keywords:NPP, Central Asia, Europe, Siberia, vegetationmodeling, BETHY/DLR, long time series
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Gessner, Ursula
Deposited On:23 Oct 2018 12:51
Last Modified:28 Feb 2019 09:41

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