Citas bibligráficas
Huaynapata, G., Aller, B. (2023). Análisis de influencia de la fotogrametría Structure From Motion (SFM) con Dron en el alcance de la actualización de la Cartografía Catastral para la Comunidad Campesina de Ccorao - San Sebastián - Cusco 2022 [Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/5629
Huaynapata, G., Aller, B. Análisis de influencia de la fotogrametría Structure From Motion (SFM) con Dron en el alcance de la actualización de la Cartografía Catastral para la Comunidad Campesina de Ccorao - San Sebastián - Cusco 2022 []. PE: Universidad Andina del Cusco; 2023. https://hdl.handle.net/20.500.12557/5629
@misc{renati/1122745,
title = "Análisis de influencia de la fotogrametría Structure From Motion (SFM) con Dron en el alcance de la actualización de la Cartografía Catastral para la Comunidad Campesina de Ccorao - San Sebastián - Cusco 2022",
author = "Aller Huamán, Bill Ronald",
publisher = "Universidad Andina del Cusco",
year = "2023"
}
Currently in Peru, cadastral map updating is a critical task for rural communities due to the lack of implementation of new technologies such as the use of drone equipment and the application of new photogrammetry techniques. Despite technological advances in the field of cartography, many communities in Peru still rely on traditional methods for updating their cadastral records, which can lead to a lack of detailed information. The research developed proposes the analysis of the influence of SFM photogrammetry with Drones on the scope of cadastral map updating for the Ccorao rural community, for which the parameters of the national BIM 2021 guide were adopted for the analysis of the LOD 2 level of detail according to geometric detail, BIM dimension, absolute location, and appearance. For the research, photogrammetric flight was carried out using the SFM technique with the use of the DJI Mavic 2 Pro drone, varying the flight programming in the Pix4D software in aspects of camera tilt (45°, 70°, and 90°), flight height (40m, 60m, and 80m), and flight type (double grid and circular). The Agisoft Metashape software was used to perform the orientation, processing, and 3D reconstruction of the obtained images, classifying the level of detail obtained as LOD 2 according to the adapted parameters of the national BIM 2021 guide. Based on the results obtained, the SFM photogrammetry technique in its best three- dimensional reconstruction was able to identify a total of 86.67% of properties within the cadastral map updating, adapting the parameters of the national BIM 2021 guide at the LOD 2 level of detail. It is concluded that SFM photogrammetry is an effective tool for the identification of properties within cadastral map updating and can be considered as a viable and efficient alternative for future map updates.
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