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The WUEMoCA Tool for Monitoring Irrigated Cropland Use and Water Use Efficiency at the Landscape Level of the Aral Sea Basin

Schönbrodt-Stitt, Sarah and Conrad, Christopher and Dimov, Dimo and Ergashev, Ikrom and Löw, Fabian and Morper-Busch, Lucia and Muminov, Sherzod and Ruziev, Islom and Schorcht, Gunther and Solodky, Georgy and Sorokin, Anatoly and Sorokin, Denis and Stulina, Galina and Toshpulatov, Rustam and Zaitov, Sherzod and Kitapbayev, Almas and Unger-Shayesteh, Katy (2018) The WUEMoCA Tool for Monitoring Irrigated Cropland Use and Water Use Efficiency at the Landscape Level of the Aral Sea Basin. In: Novel Methods and Results of Landscape Research in Europe, Central Asia and Siberia, Vol. 4 Optimising Agricultural Landscapes FSBSI "Pryanishnikov Institute of Agrochemistry", Moscow. pp. 351-356. ISBN 978-5-9238-0250-4 (Vol. 4).

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Abstract

Water scarcity in the Aral Sea Basin together with the persistent dependency from agricultural production as well as with the effects of population growth and climate change is supposed to imply future conflicts in all water-use sectors. An efficient and sustainable irrigation agriculture will essentially contribute to sustainable regional development. Optical satellite remote sensing (RS) data such as MODIS provides necessary information for monitoring irrigated cropland use on the regional, respectively landscape scale. In this context, the WUEMoCA tool intends to provide agriculturally relevant, spatio-temporal geoinformation to support planning in the water resources management sector. Potential groups of end-users comprise policy makers and advisors from national governments but also regional and transboundary decision makers and specialists dealing with geoinformation technology and RS based analysis for sustainable land and water resources management

Item URL in elib:https://elib.dlr.de/125027/
Document Type:Book Section
Title:The WUEMoCA Tool for Monitoring Irrigated Cropland Use and Water Use Efficiency at the Landscape Level of the Aral Sea Basin
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schönbrodt-Stitt, Sarahsarah.schoenbrodt-stitt (at) uni-wuerzburg.deUNSPECIFIED
Conrad, ChristopherChristopher.Conrad (at) uni-wuerzburg.deUNSPECIFIED
Dimov, Dimodimo.dimov (at) uni-wuerzburg.deUNSPECIFIED
Ergashev, IkromUNSPECIFIEDUNSPECIFIED
Löw, Fabianfabian.loew (at) uni-wuerzburg.deUNSPECIFIED
Morper-Busch, Lucialucia.morper-busch (at) uni-wuerzburg.deUNSPECIFIED
Muminov, SherzodUNSPECIFIEDUNSPECIFIED
Ruziev, IslomUNSPECIFIEDUNSPECIFIED
Schorcht, GuntherUNSPECIFIEDUNSPECIFIED
Solodky, GeorgyUNSPECIFIEDUNSPECIFIED
Sorokin, AnatolyUNSPECIFIEDUNSPECIFIED
Sorokin, DenisUNSPECIFIEDUNSPECIFIED
Stulina, GalinaSIC ICWC, Tashkent, UzbekistanUNSPECIFIED
Toshpulatov, RustamUNSPECIFIEDUNSPECIFIED
Zaitov, SherzodUNSPECIFIEDUNSPECIFIED
Kitapbayev, AlmasUNSPECIFIEDUNSPECIFIED
Unger-Shayesteh, KatyUNSPECIFIEDUNSPECIFIED
Date:2018
Journal or Publication Title:Novel Methods and Results of Landscape Research in Europe, Central Asia and Siberia, Vol. 4 Optimising Agricultural Landscapes
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:4
Page Range:pp. 351-356
Editors:
EditorsEmail
Sychev, Victor G.UNSPECIFIED
Müller, Lotharmueller@zalf.de
Publisher:FSBSI "Pryanishnikov Institute of Agrochemistry", Moscow
ISBN:978-5-9238-0250-4 (Vol. 4)
Status:Published
Keywords:land and water resources, monitoring, irrigated cropland, remote sensing, geoinformation technology, informed decision-making, Aral Sea Basin
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:08 Jan 2019 10:16
Last Modified:31 Jul 2019 20:23

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