Abstract
In this article, a part of Wadi Al-Sahba, Saudi Arabia, is tested for revealing and modelling potential area of groundwater using integrated data derived from remote-sensing, geology and hydrology through GIS-based analytical hierarchy process method. Nine thematic maps e.g. geology, stream-networks, topography, slope, lineaments, depressions, radar intensity, rainfall and land use/cover that control the occurrence of groundwater were weighted and combined to quantify the potential area of groundwater resources. The output prospection map revealed five predicting zones of groundwater (GPZs) are very low (11.55%), low (28.18%), moderate (29.14%), high (22.41%) and very high (8.73%). The most predicted areas are covering wide part of Al Kharj and downstream of Wadi Al-Sahba. Information derived from well data (# 59), thermal sensor and interferometric SAR coherence change detection data are validated the prospective map. Overall, integration of remote sensing data has the capability for revealing and predicting potential areas of groundwater resources.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
