AUTOMATION OF THE WORK OF A CADASTRAL ENGINEER: CURRENT STATE AND PROSPECTS

The current stage of cadastral development is characterized by a large-scale digital transformation aimed at increasing the efficiency, accuracy, and transparency of processes. The automation of cadastral processes spans all phases, from field surveys to government reporting, through the use of specialized software, precision equipment, and digital documentation systems. A central achievement of this shift is the development of integrated data management systems like the EGRN. These systems have successfully cut processing times and minimized errors in cadastral documentation. Prospects for development lie in the integration of artificial intelligence for spatial data analysis, blockchain for ensuring data reliability, and the creation of comprehensive monitoring systems. Despite shortcomings such as the high cost of equipment and the need for personnel training, automation forms the foundation for the transition to a fundamentally new, digital model of land management.

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Publication Details

Journal
Moscow Economic Journal
Published
2025-12-02
DOI
https://doi.org/10.55186/2413046x_2025_10_11_270
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
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article

AUTOMATION OF THE WORK OF A CADASTRAL ENGINEER: CURRENT STATE AND PROSPECTS

Natal'ya Ershova, Sergey Vikin, Oksana Baryshnikova, Pavel Golenyaev
Moscow Economic Journal
3D Modeling in Geospatial Applications
article

AUTOMATION OF THE WORK OF A CADASTRAL ENGINEER: CURRENT STATE AND PROSPECTS

Natal'ya Ershova, Sergey Vikin, Oksana Baryshnikova, Pavel Golenyaev
article en

Abstract

The current stage of cadastral development is characterized by a large-scale digital transformation aimed at increasing the efficiency, accuracy, and transparency of processes. The automation of cadastral processes spans all phases, from field surveys to government reporting, through the use of specialized software, precision equipment, and digital documentation systems. A central achievement of this shift is the development of integrated data management systems like the EGRN. These systems have successfully cut processing times and minimized errors in cadastral documentation. Prospects for development lie in the integration of artificial intelligence for spatial data analysis, blockchain for ensuring data reliability, and the creation of comprehensive monitoring systems. Despite shortcomings such as the high cost of equipment and the need for personnel training, automation forms the foundation for the transition to a fundamentally new, digital model of land management.

Moscow Economic Journal
Voronezh State Agrarian University named after Emperor Peter the Great (RU), Komatsu (Japan) (JP)
Openalex Percentile: Top 60%
3D Modeling in Geospatial Applications
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