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Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan

Conrad, Christopher and Rahmann, Maren and Machwitz, Miriam and Stulina, Galina and Paeth, Heiko and Dech, Stefan (2013) Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan. Global and Planetary Change (110), pp. 88-98. Elsevier. doi: 10.1016/j.gloplacha.2013.08.002. ISSN 0921-8181.

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Official URL: http://www.sciencedirect.com/science/article/pii/S0921818113001732


Item URL in elib:https://elib.dlr.de/84321/
Document Type:Article
Title:Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Conrad, ChristopherUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rahmann, MarenUniversität WürzburgUNSPECIFIEDUNSPECIFIED
Machwitz, MiriamUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Stulina, GalinaSIC ICWC, Tashkent, UzbekistanUNSPECIFIEDUNSPECIFIED
Paeth, HeikoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dech, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:15 August 2013
Journal or Publication Title:Global and Planetary Change
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1016/j.gloplacha.2013.08.002
Page Range:pp. 88-98
Publisher:Elsevier
ISSN:0921-8181
Status:Published
Keywords:Fergana Valley; Object-based classification; Crop water requirement; Water management; Remote sensing; RapidEye
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 - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:02 Feb 2014 21:07
Last Modified:14 Jun 2023 16:57

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