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Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing: A case study on post-Soviet agricultural land use

Conrad, Christopher and Lamers, John P.A. and Ibragimov, Nazar and Löw, Fabian and Martius, Christopher (2016) Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing: A case study on post-Soviet agricultural land use. Journal of Arid Environments, 124, pp. 150-159. Elsevier. DOI: 10.1016/j.jaridenv.2015.08.008 ISSN 0140-1963

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Official URL: http://www.sciencedirect.com/science/article/pii/S014019631530032X

Abstract

In Central Asia, actual cotton rotation practices are repeatedly believed to resemble “Soviet cropping conditions” with continuous cotton sequences of six years or more. We investigated current cotton growing patterns in Khorezm, one representative cotton production region in Uzbekistan utilizing time series of 250-m MODIS satellite data. A Random Forest model was established using reference data of 2004-2007 to generate annual crop maps in 2000-2009. A linear model was applied to assess the spatial distribution of the longest observed cotton sequence within the ten-year observation period. All cotton-growing sequences were compared to the national crop rotation recommendations. The classification achieved an overall accuracy of 82%. We found that cotton remains the major crop in the region. It was cultivated for more than five out of the ten years on 46.5% of the cropland. But “Soviet cropping conditions” on less than 20% and officially recommended cotton sequences on more than 50% of the cropland challenge the notion that cotton mono-crop dominates Central Asia. Statistical analysis revealed that long cotton sequences preferably occur on fields far from settlements and under reduced soil suitability for irrigation. The results enable decision makers to better explain unfavourable cotton cultivation practices and to stimulate improvements.

Item URL in elib:https://elib.dlr.de/101076/
Document Type:Article
Title:Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing: A case study on post-Soviet agricultural land use
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Conrad, Christopherchristopher.conrad (at) uni-wuerzburg.deUNSPECIFIED
Lamers, John P.A.j.lamers (at) uni-bonn.deUNSPECIFIED
Ibragimov, NazarUzbekistan National Cotton Growing Research Institute, Tashkent, UzbekistanUNSPECIFIED
Löw, Fabianfabian.loew (at) gmx.deUNSPECIFIED
Martius, ChristopherCenter for Development Research (ZEF)UNSPECIFIED
Date:January 2016
Journal or Publication Title:Journal of Arid Environments
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:124
DOI :10.1016/j.jaridenv.2015.08.008
Page Range:pp. 150-159
Publisher:Elsevier
ISSN:0140-1963
Status:Published
Keywords:Remote sensing, Central Asia, Cotton, Irrigation systems, Crop rotations, MODIS
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:18 Jan 2016 10:08
Last Modified:10 May 2016 23:39

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