Application of GIS and Remote Sensing in Uzbekistan

This editorial introduces the special issue "Application of GIS and Remote Sensing in Uzbekistan, " which brings together five studies on groundwater, landslides, land subsidence, and urban growth.The papers move across several spatial and temporal scales: from productive wells in the Chirchik lowland and landslide-prone mountain terrain in North Kashkadarya to city-wide deformation and land-cover change in Tashkent.They also use a broad methodological range, including multi-sensor Landsat and Sentinel time series, small baseline subset-interferometric synthetic aperture radar (SBAS-InSAR), machine learning, deep learning, graph neural networks, and spatially structured validation.Read together, the contributions show both the promise and the limits of data-driven geospatial analysis in a region where field observations remain uneven.High model accuracy is useful, but operational value depends on spatial transferability, independent observations, uncertainty reporting, and a clear understanding of what each map can and cannot represent.Together, the papers raise related management questions concerning urban expansion, irrigated land, groundwater, ground deformation, and mountain hazards, although they do not establish causal links among these processes.We conclude that geographic information system (GIS) and remote sensing can contribute most in Uzbekistan when satellite archives, field networks, transparent workflows, and institutional decision-making are developed as part of the same system.

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