GIS-BASED ASSESSMENT OF LAND CADASTRE ACCURACY AND SOIL SALINISATION IN SAMARKAND REGION, UZBEKISTAN
Keywords:
GIS, land cadastre, ArcGIS, soil salinity, remote sensing, land quality assessment, Samarkand region, quantitative land accounting, land use mapping, cadastral reform.Abstract
This paper addresses the problem of land cadastre data becoming outdated faster than existing survey methods can correct. Drawing on fieldwork carried out in the Samarkand city area during 2024–2025, the author examines how GIS-based approaches — specifically ArcGIS-supported classification and multi-criteria land quality scoring — can close the gap between registered cadastral records and actual land conditions. Particular attention is given to the mapping of soil salinisation, which field observations confirmed as the most widespread quality-limiting factor in irrigated areas near Samarkand. The paper proposes a practical three-phase methodology and reports on its partial validation through comparative analysis of satellite-derived and official cadastral data.
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