Article

Received 05.05.2025

Revised 27.08.2025

Accepted 30.09.2025

Retrieved from Iss. 118, P. 1, 2025

Pages 167 -179

Serbov, M., Shemiakin, M., & Prokopenko, N. (2025). GEODETIC METHODS OF ASSESSMENT AND PREDICTIVE MONITORING OF LAND RESOURCES IN THE CONTEXT OF CLIMATE CHANGE. Automobile Roads and Road Construction, (118.1), 167-179. https://doi.org/10.33744/0365-8171-2025-118.1-167-179

GEODETIC METHODS OF ASSESSMENT AND PREDICTIVE MONITORING OF LAND RESOURCES IN THE CONTEXT OF CLIMATE CHANGE

Mykola Serbov Mykhailo Shemiakin Nataliia Prokopenko

The article is devoted to the development of geodetic methods and the creation of highprecision systems for monitoring land resources in the context of climate change. Vaughn analyzes approaches to forming a geoinformation basis for adaptive management of land use. The relevance of the research is due to intense climatic transformations that influence natural processes and require precise tools for predicting the state of the land. Geodetic systems will ensure the spatial reliability of data necessary for effective resource management in the face of environmental instability. Meta-research focuses on the development of geodesically oriented methods for creating trivariate models and cognitive maps for analyzing and predicting changes in land resources. The objectives include improved accuracy of monitoring and creation of a basis for adaptive planning of land development. The research includes geodetic measurements, remote sensing data, and software from ArcMap, and ArcScene. To create digital terrain models (DEM), a TIN model was compiled, and the texture was created based on high-quality satellite images (SPOT, QuickBird). Automated vectorization of contours was carried out using different classification algorithms. The obtained results include three-dimensional models of land zoning, using “prism maps” and volumetric diagrams that reflect the extent of activity and the dynamics of change. A technological scheme for geoinformation monitoring has been developed that integrates geodetic data to predict soil degradation and assess environmental risks. DEMs and layouts created in ArcScene ensure high accuracy of spatial analysis. Prospects for further research include improved automated vectorization systems and integration of human intelligence for processing geospatial data. The development of multiscale models and the expansion of databases will improve the accuracy of forecasts and optimize land management in the minds of climate change activists

geodesy, land monitoring, digital relief model, climate change, forecasting, geoinformation technologies
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https://doi.org/10.33744/0365-8171-2025-118.1-167-179