IMPROVEMENT OF THE TECHNOLOGY FOR CREATING TERRAIN CHANGE MAPS USING ARCGIS SOFTWARE
DOI:
https://doi.org/10.17721/2519-481X/2025/89-04Keywords:
geographic information system, geospatial data, geospatial support, ArcGIS, LiDAR, terrain change mapping, remote sensing, raster georeferencing, topographic map updatingAbstract
The article addresses the issue of improving the technology for creating terrain change maps using geographic information systems, in particular ArcGIS software, under conditions of increasing volumes of geospatial data and growing requirements for the timeliness of geospatial support of military forces. The relevance of the study is обусловлена the need for the prompt updating of topographic information in the context of dynamic changes in the natural and anthropogenic environment, as well as within the framework of modern combat operations characterized by a high degree of situational variability. It has been established that traditional approaches to terrain change mapping, based on the use of paper maps and manual updating, do not meet current requirements in terms of efficiency, accuracy, and the integration of heterogeneous geospatial data sources. The expediency of transitioning to geographic information systems as a foundation for automating data collection, processing, analysis, and updating processes is substantiated.
The methodological basis of the study includes geoinformation modeling, spatial analysis, raster and vector data processing, as well as the analysis of modern approaches to terrain change detection. The effectiveness of integrating multi-source geospatial data, including aerial imagery, satellite images, LiDAR data, digital maps, and geodetic measurements, has been demonstrated. An improved technological framework for terrain change mapping is proposed, which involves the use of a digital base (duty) map, integration of heterogeneous data sources, change analysis, automated vectorization, and the generation of a digital cartographic product. The advantages of using ArcGIS are identified, including increased data processing efficiency, reduced labor intensity, and ensuring the topological consistency of spatial data.
The practical significance of the results lies in their potential application for enhancing the effectiveness of geospatial support for military forces, reducing the time required for updating cartographic information, and improving the quality of decision-making processes.
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