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Remote Sensing based Modelling of Net Primary Productivity for China – Analysing trends, monitoring human impact and forest disturbance

Eisfelder, Christina and Gessner, Ursula and Li, Xinwu and Huang, Chong and Dech, Stefan and Künzer, Claudia (2016) Remote Sensing based Modelling of Net Primary Productivity for China – Analysing trends, monitoring human impact and forest disturbance. EARSeL Symposium 2016, 20.-24. Juni 2016, Bonn, Deutschland.

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Item URL in elib:https://elib.dlr.de/105187/
Document Type:Conference or Workshop Item (Speech)
Title:Remote Sensing based Modelling of Net Primary Productivity for China – Analysing trends, monitoring human impact and forest disturbance
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Eisfelder, Christinachristina.eisfelder (at) dlr.deUNSPECIFIED
Gessner, UrsulaUrsula.Gessner (at) dlr.deUNSPECIFIED
Li, Xinwulixw (at) radi.ac.cnUNSPECIFIED
Huang, ChongIGSNRRUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Date:2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Net primary productivity, NPP, vegetation dynamics, remote sensing, time-series analysis, China
Event Title:EARSeL Symposium 2016
Event Location:Bonn, Deutschland
Event Type:international Conference
Event Dates:20.-24. Juni 2016
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 - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Eisfelder, Christina
Deposited On:06 Sep 2016 11:45
Last Modified:06 Sep 2016 11:45

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