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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, 2016-06-20 - 2016-06-24, 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 AuthorsAuthor's ORCID iDORCID Put Code
Eisfelder, ChristinaUNSPECIFIEDhttps://orcid.org/0000-0002-6790-6953UNSPECIFIED
Gessner, UrsulaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Li, XinwuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huang, ChongIGSNRRUNSPECIFIEDUNSPECIFIED
Dech, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Künzer, ClaudiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
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 Start Date:20 June 2016
Event End Date:24 June 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
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:24 Apr 2024 20:10

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