The application of remote sensing data to diagnose soil degradation in the Dakhla depression – Western Desert, Egypt

June 15, 2017 | Autor: Hossam Ismael | Categoria: Remote sensing and GIS
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This article was downloaded by: [Hossam Ismael] On: 07 July 2015, At: 23:20 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: 5 Howick Place, London, SW1P 1WG

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The application of remote sensing data to diagnose soil degradation in the Dakhla depression – Western Desert, Egypt a

b

Mohamed E. Hereher & Hossam Ismael a

Faculty of Science, Department of Environmental Sciences, Damietta University, New Damietta,Egypt b

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Faculty of Arts, Geography Department, Assuit University, ElKharga, Egypt Accepted author version posted online: 08 Jun 2015.Published online: 03 Jul 2015.

To cite this article: Mohamed E. Hereher & Hossam Ismael (2015): The application of remote sensing data to diagnose soil degradation in the Dakhla depression – Western Desert, Egypt, Geocarto International, DOI: 10.1080/10106049.2015.1059901 To link to this article: http://dx.doi.org/10.1080/10106049.2015.1059901

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Geocarto International, 2015 http://dx.doi.org/10.1080/10106049.2015.1059901

The application of remote sensing data to diagnose soil degradation in the Dakhla depression – Western Desert, Egypt Mohamed E. Herehera and Hossam Ismaelb* a

Faculty of Science, Department of Environmental Sciences, Damietta University, New Damietta, Egypt; bFaculty of Arts, Geography Department, Assuit University, El-Kharga, Egypt

Downloaded by [Hossam Ismael] at 23:20 07 July 2015

(Received 8 April 2015; accepted 4 June 2015) Dakhla depression in Egypt’s Western Desert is experiencing two soil degradation processes, notably: soil salinization and sand encroachment. The present study aimed to diagnose the severity of these processes using remote sensing. Soil salinity was determined by spectral regression analysis between tasselled cap spectral transform extracted from a Landsat-8 image acquired in September 2013 along with synchronized soil salinity measurements. Assessment of sand advance rate was conducted by temporal change detection of brilliant crescentic sand dune visualized by Google Earth in old (2002) and recent (2013) images. Results showed that salinized soils (dS/m4
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