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dc.contributorWu, Weichengen_US
dc.contributorAl-Shafie, Waleed M.en_US
dc.contributorZiadat, Feras M.en_US
dc.contributorAl-Musawi, Hassan Hameeden_US
dc.contributorSaliem, Kasim Ahmeden_US
dc.creatorMhaimeed, Ahmad S.en_US
dc.identifier.citationAhmad S. Mhaimeed, Weicheng Wu, Waleed M. Al-Shafie, Feras M. Ziadat, Hassan Hameed Al-Musawi, Kasim Ahmed Saliem. (25/11/2013). Use Remote Sensing To Map Soil Salinity in the Musaib Area in Central Iraq. International Journal of Geosciences and Geomatics, 1 (2), pp. 34-41.en_US
dc.description.abstractSalinity has constituted one of the major problematic issues for agricultural production in Iraq. It is hence essential to develop some rational and reliable approach to conduct salinity mapping and assessment. Recently, we have proposed an innovative methodology in the Dujaila site for this purpose. The aim of this study is to ascertain whether the methodology we developed can be extended to other similar environment taking the Musaib site, another project site in Central Iraq, as an example. Field survey including soil sampling, EM38 (Geonics Ltd.) measurement and land use investigation was conducted and 30 soils samples were analysed in laboratory; 17 Landsat ETM+ spring and summer imagery in the frame of 168-37 from 2009 to 2012 were prepared for the study. By following the same procedure as we have done for the Dujaila site, we obtained similar remote sensing models in the vegetated area, that is, the field measured salinity are functions of the multiyear maximal GDVI (Generalized Difference Vegetation Index). For the non-vegetated area, only land surface temperature (T) among all non-vegetation indices (NVIs) was finally retained in the models, which are slightly different from those in Dujaila. However, these models can predict salinity with high reliability (83%). It is therefore concluded that our methodology developed in Dujaila is operational and extendible to other similar environment for salinity mapping.en_US
dc.publisherArab Remote sensing and Geographic Information System Organization-ARSGISOen_US
dc.sourceInternational Journal of Geosciences and Geomatics;1,(2013) Pagination 34-41en_US
dc.subjectsimilarity mappingen_US
dc.titleUse Remote Sensing To Map Soil Salinity in the Musaib Area in Central Iraqen_US
dc.typeJournal Articleen_US
cg.subject.agrovocremote sensingen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerMinistry of Agriculture Iraqen_US
cg.contributor.centerMinistry of Water Resources - Iraq - MOWR - Iraqen_US
cg.contributor.centerUniversity of Baghdad, College of Agricultureen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionWestern Asiaen_US
dc.identifier.statusOpen accessen_US
cg.journalInternational Journal of Geosciences and Geomaticsen_US

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