This paper presents the results of research on improving land monitoring methods for rural settlements, based on a case study of the "Abay" mahalla in the Kuyi Chirchik district of Tashkent region, Uzbekistan. Traditional monitoring methods demonstrate reliability of only 70-85%, which is insufficient for timely detection of land grabs and unauthorized conversion of agricultural land. The study proposes an integrated approach combining retrospective analysis of satellite imagery (Google Earth Pro, 2002-2025), UAV-based aerial photography (DJI Phantom 4 Pro Plus, 0.05 m resolution), GNSS surveying (Stonex S6II, ±5 mm accuracy), and blockchain-based cryptographic fixation of results. The developed "Digital Lock" algorithm provides six levels of data protection, ensuring legally irrefutable documentation of land boundaries and usage. Implementation on an 86-hectare site reduced field survey time from 14 days to 1.5 hours, increased data reliability from 70-85% to 99%, and reduced labor costs by 88%. For the study area, a Soil Sealing Coefficient of 39.7% was established, indicating critical loss of irrigated arable land. The method is recommended for replication in suburban areas of Uzbekistan's regional centers to support general planning of rural settlements and implementation of the "Obod Kishlok" program.

land monitoring, rural settlements, blockchain

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