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The use of remote sensing and Geographic Information Systems in Monitoring drought the Algerian steppe

Abderrezak Khenioui (), Salah Boukhalfa () and Ahmed Bougherara ()
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Abderrezak Khenioui: Faculty of Humanities and Social Sciences, member of the Laboratory of Geomatics and Sustainable Development, Ibn Khaldun University, Tiaret, Algeria.
Salah Boukhalfa: Department of Arabic Language, History and Geography, Teacher Education College of Setif, Algeria.
Ahmed Bougherara: Faculty of Earth Sciences, Geography and Urban Development, University of Mentouri Constantine 1, Algeria.

Technium Social Sciences Journal, 2023, vol. 39, issue 1, 644-658

Abstract: The present study aims to use remote sensing techniques and geographic information systems (GIS) in monitoring and detecting droughts in the steppe regions (Tiaret city as a model) during the period (2002-2022). In pursuit of this aim, some indicators were used, such as the surface temperature index (LST), soil moisture index (SMI), standardized difference vegetation index (NDVI), and aridity index (AI). Depending on the Terra satellite's visuals, which are specialized in observing the earth and tracking changes that may occur in it. The purpose of the study is to demonstrate the extent to which the Algerian steppe regions, particularly the southern ones, are vulnerable to drought as a result of the climatic changes that the globe is experiencing in general. This is confirmed by the indicators that were used in this study (LST), (SMI), ( NDVI), (and AI), In addition to this, unregulated activities, such as grazing, unplanned reclamation, and others, have exacerbated the severity of the problem, and in order to safeguard this environment, it must be regularly monitored and protected.

Keywords: drought indicators; geographic information systems; remote sensing; the Algerian steppes (Tiaret) (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:tec:journl:v:39:y:2023:i:1:p:644-658

DOI: 10.47577/tssj.v39i1.7955

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