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IJSRP, Volume 8, Issue 11, November 2018 Edition [ISSN 2250-3153]

      Bishir Gambo Saulawa

Abstract: In order to establish one of the physical manifestation of desertification the study set out to quantify the vegetation cover change in Katsina State from 1984 to 2014. The remotely sensed technology combined with GIS used the Normalized Difference Vegetation Index (NDVI) to analyze the vegetation cover change. Landsat data comprising monthly images for the wet season (May, June, July, August and September) were generated from the United State Geological Survey (USGS) dataset. The images were extracted from the Path/Row WRS 2 188/051, WRS 2 189/051 and WRS 2 189/052. The NDVI data was processed with the ENVI Software and cropped with the Global Mapper. The result showed a significant decline of vegetation cover on the Path/Row 188/051 and 189/052 which covers the Sudan Savannah and the Sahel Savannah of the study area.

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Bishir Gambo Saulawa (2018); Spatio-Temporal Vegetation Cover Change as an Analytic Technique for Appraising Desertification in Katsina State, Nigeria; International Journal of Scientific and Research Publications (IJSRP) 8(11) (ISSN: 2250-3153), DOI:



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