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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

S. SarahDepartment of Remote Sensing, Institute of Geography and Geology, University of WürzburgCleon ChristopherDepartment of Remote Sensing, Institute of Geography and Geology, University of WürzburgD. DimoDepartment of Remote Sensing, Institute of Geography and Geology, University of WürzburgE. IkromScientific Information Center of the Interstate Coordination of Water Commission in Central Asia (SIC ICWC)Lorenzo FabianMapTailor Geospatial Consutling GbRM. LuciaDepartment of Remote Sensing, Institute of Geography and Geology, University of WürzburgM. SherzodScientific Information Center of the Interstate Coordination of Water Commission in Central Asia (SIC ICWC)R. IslomScientific Information Center of the Interstate Coordination of Water Commission in Central Asia (SIC ICWC)Sebastian Günthergreen spin GmbHSam GeorgyScientific Information Center of the Interstate Coordination of Water Commission in Central Asia (SIC ICWC)Shevchuk AnatolyScientific Information Center of the Interstate Coordination of Water Commission in Central Asia (SIC ICWC)Solène DenisScientific Information Center of the Interstate Coordination of Water Commission in Central Asia (SIC ICWC)S. GalinaScientific Information Center of the Interstate Coordination of Water Commission in Central Asia (SIC ICWC)T. RustamScientific Information Center of the Interstate Coordination of Water Commission in Central Asia (SIC ICWC)Z. SherzodScientific Information Center of the Interstate Coordination of Water Commission in Central Asia (SIC ICWC)K. AlmasGerman-Kazak UniversityU. KatyHelmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Telegrafenberg
2018en
ABI

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

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