Hybrid aerial mapping; [Hybride Luftbild-Kartierung]
Keywords:
Aerial Mapping, Hybrid Mapping, Remote Sensing, GIS, Photogrammetry, Geospatial Data, SurveyingAbstract
This article examines hybrid aerial mapping as an approach that combines different aerial data sources and mapping technologies to improve the representation of the Earth's surface. Aerial mapping can provide valuable information for surveying, planning, environmental observation, infrastructure management, and many other applications. Different sensors and acquisition methods offer different strengths in terms of spatial resolution, coverage, accuracy, and type of information collected. A hybrid approach can use these complementary characteristics to create a more complete dataset. The article considers how combining aerial imagery, geospatial data, and related mapping techniques can support efficient production of geographic information. Integration is particularly useful when a single data source cannot provide all the information required for a project. Digital workflows can assist with processing, comparison, quality control, and visualization of the resulting datasets. The approach also highlights the importance of consistent coordinate systems, accurate positioning, and reliable processing procedures when multiple sources are combined. Hybrid mapping can reduce limitations associated with individual sensors while providing users with richer spatial information. The discussion demonstrates the broader role of modern aerial technologies in producing detailed and usable geodata. Such methods can support applications ranging from infrastructure documentation and topographic mapping to environmental monitoring and urban planning. The article emphasizes that the successful use of hybrid aerial mapping depends on selecting appropriate data sources and integrating them carefully into a coherent geospatial workflow. Hybrid workflows can consequently provide a practical way to make better use of complementary aerial technologies without losing the consistency required for professional geospatial production.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This permits anyone to share, copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial purposes, provided that appropriate credit is given to the original author(s), a link to the license is provided, and any changes made to the material are indicated.



