A Drone-Based Approach for Radiometric Mapping of Gamma Radiation
This work presents the results of an experiment conducted with an Unmanned Aerial Vehicle (UAV) equipped with a Geiger-Müller detector module, aimed at validating a gamma radiation detection methodology. The experiment took place at the Batalhão Central de Manutenção e Suprimentos (BCMS) in Rio de J...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)
2025-03-01
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| Series: | Brazilian Journal of Radiation Sciences |
| Subjects: | |
| Online Access: | https://bjrs.org.br/revista/index.php/REVISTA/article/view/2716 |
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| Summary: | This work presents the results of an experiment conducted with an Unmanned Aerial Vehicle (UAV) equipped with a Geiger-Müller detector module, aimed at validating a gamma radiation detection methodology. The experiment took place at the Batalhão Central de Manutenção e Suprimentos (BCMS) in Rio de Janeiro, where a Cesium-137 source was positioned at a specific point within a designated area for the drone flight. The measurement methodology involves continuous flight, with point-by-point readings taken at designated locations. Subsequently, during the data processing stage, each measurement point was organized into cells, forming a structured grid that served as the basis for generating a three-dimensional map of gamma radiation dose distribution. After processing the data collected by the drone, a dose profile was reconstructed, allowing for a satisfactory estimation of the location where the Cesium-137 source was positioned based on the radiation peak. Since specific patterns in the graphs, such as a sudden increase in dose rate in a particular direction, can indicate the presence of a source, we consider that this method can be employed as a useful strategy for the remote detection of radiation sources in various environments, offering a satisfactory approximation of the radiological conditions present in the analyzed environment.
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| ISSN: | 2319-0612 |