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Using very high resolution remote sensing imagery to assess crop diversity in the Fergana Valley, Uzbekistan

Kuhn, Johannes (2016) Using very high resolution remote sensing imagery to assess crop diversity in the Fergana Valley, Uzbekistan. Master's, Julius-Maximilians-Universität Würzburg.

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Item URL in elib:https://elib.dlr.de/109185/
Document Type:Thesis (Master's)
Title:Using very high resolution remote sensing imagery to assess crop diversity in the Fergana Valley, Uzbekistan
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kuhn, Johannesjohannes.kuhn (at) stud-mail.uni-wuerzburg.deUNSPECIFIED
Date:22 February 2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:104
Status:Published
Keywords:Remote Sensing Imagery, crop diversity, Fergana Valley, Uzbekistan, Landsat, RapidEye, SPOT-6, SPOT-7
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:07 Dec 2016 15:36
Last Modified:07 Dec 2016 15:36

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