Mapping of groundwater potential zones using sentinel satellites (−1 SAR and -2A MSI) images and analytical hierarchy process in Ketar watershed, Main Ethiopian Rift

Identification of Groundwater Potential Zones Using GIS and Multi-Criteria Decision-Making Techniques: A Case Study Upper Coruh River Basin (NE Turkey)

“…In this study, ten different criteria controlling groundwater storage capacity (i.e., slope, topographic wetness index, geomorphology, drainage density, lithology, lineament density, rainfall, soil type, soil thickness, and land-use classes) were selected. These criteria were determined according to expert opinions and reviews of similar studies from the literature [34,39,[49][50][51], depending on the conditions of the region and available data.…”

Mapping potential wildlife habitats around Haro Abba Diko controlled hunting area, Western Ethiopia

“…It consists of two identical satellites, Sentinel‐2A and Sentinel‐2B (Lanaras et al., 2018 ). Sentinel‐2 comprises 13 spectral channels with a 290 km swath and spatial resolutions of 10 m (four visible and near‐infrared bands), 20 m (six red‐edge/shortwave infrared bands), and 60 m (three atmospheric correction bands) as shown in Table 1 (Nigussie et al., 2019 ). Cloud‐free Sentinel‐2A satellite image was downloaded on January 2019 from the official website of Sentinel data hub ( http://www.copernicus.eu ) and assigned a common output projection (UTM/WGS84) and resolution using the IMPACT‐Toolbox software (Simonetti et al., 2015 ).…”

“…Level‐1C processing includes radiometric and geometric corrections include ortho‐rectification and spatial registration on a global reference system with subpixel accuracy. Lower spatial resolution bands were resampled using bilinear resampling method to 10m for stacking (Nigussie et al., 2019 ). The Top of Atmospheric Reflectance Byte (TOARB), that is (0, 255), value was calculated as the ratio of the resampled image radiometric resolution from 12‐bit to unsigned 16‐bit integer data and then to TOARB using linear transformation equation, which was mathematically expressed as TOARB = (DN × 0.0255) as described by Sentinel‐2, MSI ( 2015 ), where: TOARB is Top of Atmospheric Reflectance Byte DN is Digital Number of the original image (0–4095) 0.0255 is the image relative reflectance conversion factor 10 (−4) …”

Challenges and Prospects of Advancing Groundwater Research in Ethiopian Aquifers: A Review

“…Remote sensing (RS) and GIS techniques were applied to identify potential groundwater zones of Ethiopian aquifers [40,58,[78][79][80][81][82][83][84][85][86][87], as illustrated in Table 1. The efficacy of RS in hydrogeological research can offer vital spatial and temporal data sets critical for realistic analysis, prediction, and validation of water resource models.…”

“…In addition, GIS-based overlay analysis combined with pairwise comparison was a promising approach for predicting groundwater recharge zones in different catchments [83,84,87]. In the potential groundwater zones determination studies, many features have been used based on geologic, hydrologic, hydrogeological, meteorological, and terrain capabilities as selection criteria [80,81,83]. Accordingly, geomorphology, lithology, slope, rainfall, land use, land cover, soil, lineament density, elevation, topographic wetness index, topographic position index, curvatures, stream power index, hydraulic conductivity, distance from the fault, roughness, and drainage density were the main factors affecting groundwater potential.…”