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Drought Assessment Unveiled: Integrating Real Data and Remote Sensing Techniques for Precision Evaluation for The Last 3 Decades in Amman Zarqa.

​This article comprehensively evaluates drought situations in the Amman Zarqa Basin (AZB), Jordan, over the past three decades by integrating real data and remote sensing techniques. Drought is a significant environmental challenge in arid and semi-arid regions like Jordan, affecting water resources, agriculture, and socio-economic well-being. By incorporating real-world meteorological and hydrological data, such as the Standardized Precipitation Index (SPI) and standardized Water Index (SWI), with remote sensing-derived indices, such as the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI), this study presents a detailed evaluation of drought event and spatial distribution in the AZB. SPI maps reveal severe to extreme drought events in specific years, while SWI analysis indicates variations in soil moisture conditions over time. NDVI and NDM​I analyses highlight fluctuations in vegetation health and moisture content, reflecting the impact of drought on ecosystem resilience. The results highlight the significance of combining actual data and remote sensing techniques for accurate drought assessment, enabling decision-making and adaptation strategies in water-stressed regions. Through this interdisciplinary approach, policymakers, water managers, and stakeholders can sufficiently understand and address the complex challenges resulting from drought, enhancing the resilience and sustainability of water resources in Jordan and similar regions worldwide.