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dc.contributor.authorAbdel Kawy, W.A.M.vi
dc.contributor.otherDarwish, Kh.M.vi
dc.date.accessioned2021-04-13T09:03:37Z-
dc.date.available2021-04-13T09:03:37Z-
dc.date.issued2019-
dc.identifier.issn2522-8307vi
dc.identifier.urihttp://tailieuso.tlu.edu.vn/handle/DHTL/10702-
dc.description.abstractThe maximum likelihood supervised classification tool and post classification change detection technique were implemented for monitoring changes in land qualities. Land degradation indicator data layers were summarized into the metrological data, ground truth, vegetation cover, and the applied land management practices. The Modified Global Assessment of Soil Degradation GLASOD model was adapted to model land degradation, specify its action in term of degradation degree, relative extent, severity level, and causative factors. Land degradation processes were evaluated in the delineated mapping units. The result indicated that the studied areas are considered as quite unstable in term of ecosystem due to active degradation resulting from aridity phenomena, soil properties, and improper farm management.vi
dc.description.urihttps://bnrc.springeropen.com/articles/10.1186/s42269-019-0102-1#article-infovi
dc.languageenvi
dc.relation.ispartofseriesBulletin of the National Research Centre, Vol 43:70 (2019)vi
dc.subjectLand degradationvi
dc.subjectDegradation hazardvi
dc.subjectLand qualitievi
dc.subjectQalyubia governoratevi
dc.subjectArid landvi
dc.titleAssessment of land degradation and implications on agricultural land in Qalyubia Governorate, Egyptvi
dc.typeBBvi
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