Integration of Analytic Hierarchy Process (AHP) and Remote Sensing to Assess Threats to Preservation of the Oases: Case of Al Ain, UAE

A study on the UNESCO-listed oases of Al Ain, UAE, reveals that despite significant urban expansion and land use changes since 1972, these historical sites have remained largely unaffected, reflecting strong preservation efforts. Researchers used a combination of Analytic Hierarchy Process (AHP) and remote sensing to assess threats such as water scarcity, soil salinity, palm disease, and legal frameworks. While built-up areas increased by 91% and grass cover by 76%, the oases' vegetation health remained stable, as indicated by NDVI and NDWI metrics. The study highlights the effectiveness of cloud-based satellite imagery in monitoring threats and aligns with UN SDG 15 (Life on Land). It recommends updating preservation policies to address climate change and population growth, while suggesting hyperspectral remote sensing for future studies on soil salinity and palm diseases.

Yagoub, M. M., AlSumaiti, T., Tesfaldet, Y. T., AlArfati, K., Alraeesi, M., & Alketbi, M. E. (2023). Integration of Analytic Hierarchy Process (AHP) and Remote Sensing to Assess Threats to Preservation of the Oases: Case of Al Ain, UAE. Land, 12(7), 1269. https://doi.org/10.3390/land12071269