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Spatio-temporal analyses of cropland degradation in the irrigated lowlands of Uzbekistan using remote-sensing and logistic regression modeling

Dubovyk, Olena and Menz, Gunter and Conrad, Christopher and Kan, Elena and Machwitz, Miriam and Khamzina, Asia (2012) Spatio-temporal analyses of cropland degradation in the irrigated lowlands of Uzbekistan using remote-sensing and logistic regression modeling. Environmental Monitoring and Assessment, 185 (6), pp. 4775-4790. Springer. DOI: 10.1007/s10661-012-2904-6 ISSN 0167-6369

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Official URL: http://link.springer.com/article/10.1007%2Fs10661-012-2904-6

Abstract

Advancing land degradation in the irrigated areas of Central Asia hinders sustainable development of this predominantly agricultural region. To support decisions on mitigating cropland degradation, this study combines linear trend analysis and spatial logistic regression modeling to expose a land degradation trend in the Khorezm region, Uzbekistan, and to analyze the causes. Time series of the 250-m MODIS NDVI, summed over the growing seasons of 2000–2010, were used to derive areas with an apparent negative vegetation trend; this was interpreted as an indicator of land degradation. About one third (161,000 ha) of the region’s area experienced negative trends of different magnitude. The vegetation decline was particularly evident on the low-fertility lands bordering on the natural sandy desert, suggesting that these areas should be prioritized in mitigation planning. The results of logistic modeling indicate that the spatial pattern of the observed trend is mainly associated with the level of the groundwater table (odds = 330 %), land-use intensity (odds = 103 %), low soil quality (odds = 49 %), slope (odds = 29 %), and salinity of the groundwater (odds = 26 %). Areas, threatened by land degradation, were mapped by fitting the estimated model parameters to available data. The elaborated approach, combining remote-sensing and GIS, can form the basis for developing a common tool for monitoring land degradation trends in irrigated croplands of Central Asia.

Item URL in elib:https://elib.dlr.de/91660/
Document Type:Article
Title:Spatio-temporal analyses of cropland degradation in the irrigated lowlands of Uzbekistan using remote-sensing and logistic regression modeling
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dubovyk, Olenadesiderare (at) yandex.ruUNSPECIFIED
Menz, Gunterg.menz (at) geographie.uni-bonn.deUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) uni-wuerzburg.deUNSPECIFIED
Kan, ElenaUNSPECIFIEDUNSPECIFIED
Machwitz, Miriammiriam.machwitz (at) uni-wuerzburg.deUNSPECIFIED
Khamzina, Asiaasia.khamzina (at) uni-bonn.deUNSPECIFIED
Date:3 October 2012
Journal or Publication Title:Environmental Monitoring and Assessment
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:185
DOI :10.1007/s10661-012-2904-6
Page Range:pp. 4775-4790
Publisher:Springer
ISSN:0167-6369
Status:Published
Keywords:Cropland abandonment, Linear trend analysis, Logistic regression modeling, MODIS, NDVI, Lower reaches of Amu Darya River
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:12 Dec 2014 14:51
Last Modified:06 Sep 2019 15:20

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