<p>Groundwater resources in the arid and semi-arid regions are facing continuous decline, and implementing artificial recharge projects using flood spreading is considered an effective solution for strengthening aquifers. This study aims to identify suitable areas for artificial recharge in the Semnan plain, using the combination of fuzzy logic, the Analytic Hierarchy Process (AHP), remote sensing, and GIS. Nine criteria were investigated: slope, geology, soil type, land use, rainfall, groundwater depth, NDVI, drainage density, and distance from the river. Satellite remote sensing data provided NDVI, land use, and precipitation layers, while other layers were derived from ground sources and base maps. After fuzzification in GIS and TerrSet, and weighting with the AHP method, the layers were combined in the gamma fuzzy overlay process using gamma values of 0.5, 0.7, and 0.9; gamma 0.9 yielded the best results with an Adjusted R² of 0.73. Results indicated that 8.68% of the study area was classified as ‘very good’ and 19.62% as ‘good.’. Geology, distance from the river, soil type, and slope exerted the strongest influence on spatial suitability. The combined FAHP model with remote sensing data offers an efficient, cost-effective approach for identifying areas suitable for artificial recharge in arid regions. High-potential areas should be prioritized for pilot flood spreading projects, and accuracy and stability should be assessed using temporal data.</p>