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Comparing the perfomance of crop growth models using synthetic remote sensing data at DEMMIN, Germany

Dhillon, Maninder Singh (2019) Comparing the perfomance of crop growth models using synthetic remote sensing data at DEMMIN, Germany. Master's, Julius-Maximilians-Universität Würzburg.

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Item URL in elib:https://elib.dlr.de/127938/
Document Type:Thesis (Master's)
Title:Comparing the perfomance of crop growth models using synthetic remote sensing data at DEMMIN, Germany
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dhillon, Maninder Singhmaninder.dhillon (at) uni-wuerzburg.deUNSPECIFIED
Date:11 February 2019
Refereed publication:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:68
Status:Published
Keywords:crop growth models, remote sensing, Demmin, Germany
Institution:Julius-Maximilians-Universität Würzburg
Department:Lehrstuhl für Fernerkundung
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 Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:25 Jun 2019 07:54
Last Modified:25 Jun 2019 07:54

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