Monitoring of green areas in the University of Guadalajara through image processing in an HPC environment

Martín Pizano-Moreno; Jaime Ibarra-Nuño; Verónica Lizette Robles-Dueñas

doi:10.29375/25392115.5275

Martín Pizano-Moreno University of Guadalajara
Jaime Ibarra-Nuño University of Guadalajara https://orcid.org/0009-0006-3105-8303
Verónica Lizette Robles-Dueñas University of Guadalajara

DOI: https://doi.org/10.29375/25392115.5275

Keywords: Aerial photogrammetry, drones, UAV, containers, Singularity, Docker, high performance computing, OpenDroneMap, Snakemake

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Abstract

Evaluation and monitoring of vegetation in urban areas is used for the management of natural resources and urban planning. This information has become more important than ever due to climate change. This work proposes the use of drones or Unmanned Aerial Vehicle (UAV) to make these vegetation inventory and process the acquired images using the photogrammetry software OpenDroneMap (ODM) in a high performance computer under Singularity and Snakemake. These tools can generate a big image map of the interested zone which can be used to study the future condition and health of vegetation.

References

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How to Cite

Pizano-Moreno, M., Ibarra-Nuño, J., & Robles-Dueñas, V. L. (2024). Monitoring of green areas in the University of Guadalajara through image processing in an HPC environment. Revista Colombiana De Computación, 25(2), 35–42. https://doi.org/10.29375/25392115.5275