Data of remote sensing and GIS - to demarcate the potential sector of groundwater in Debre Berhan, Amhara region, Ethiopia

• Main Authors: M. Bagyaraj, Alemayehu Tenaw Mengistie, G. Gnanachandrasamy, Bedassa Gemechu
• Format: Article
• Language: English
• Published: Elsevier 2019-10-01
• Series: Data in Brief
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340919308972

The present research datasets provide a different potential sector of groundwater accessibility in Debre Berhan, Amhara region represented by GIS and remote sensing techniques. Groundwater potential factors such as geology, slope, geomorphology, landuse/landcover, drainage density, and lineament density thematic layers were prepared from the SRTM 30m and LANDSAT multispectral satellite data. Weightage and scores were assigned to all thematic layers based on their groundwater holding capacity. The Inverse Distance Weighted (IDW) method was applied to integrate all the thematic layers to appraise the groundwater potential sector. From this method, the total data site is classified as very good - 6.5%; good - 22.1%; moderate - 51.2%; low - 18.4%; and very low - 1.8% of the groundwater potential sector. This analysis of data demonstrates the fact that the implication of GIS and remote sensing techniques in groundwater potential sector mapping at the regional scale and suggests that similar techniques could be applied to other regions of this country. Keywords: Remote sensing, GIS, Groundwater potential, Debre Berhan, Ethiopia