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Evaluating the impact of irrigation on groundwater resources using remote sensing: a case study for Saudi Arabia

Lookup NU author(s): Abdulrahman Badaoud, Dr Greg O'DonnellORCiD, Professor Claire WalshORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

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Author(s): Badaoud A, O'Donnell G, Walsh C

Publication type: Article

Publication status: Published

Journal: Geocarto International

Year: 2026

Volume: 41

Issue: 1

Online publication date: 02/01/2026

Acceptance date: 25/12/2025

Date deposited: 12/01/2026

ISSN (print): 1010-6049

ISSN (electronic): 1752-0762

Publisher: Taylor & Francis

URL: https://doi.org/10.1080/10106049.2025.2610859

DOI: 10.1080/10106049.2025.2610859

Data Access Statement: The SEBAL algorithm was implemented using Landsat 8 imagery within the Google Earth Engine platform (https:// earthengine.google.com), and both datasets are publicly accessible. GRACE terrestrial water storage data were obtained from two sources: the Jet Propulsion Laboratory (JPL) and the Centre for Space Research (CSR), both available through NASA's GRACE portal (https://grace.jpl.nasa.gov). Soil moisture data used in this study were sourced from the Global Land Data Assimilation System (GLDAS), accessible via NASA’s GES DISC (https:// disc.gsfc.nasa.gov).

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