SPH Engineering presents drone-integrated gamma-ray radiation sensor
SPH Engineering has introduced a drone-integrated gamma radiation sensor designed to enhance mineral exploration, contamination mapping, and soil and sediment analysis. The solution utilizes Medusa Radiometrics’ gamma-ray radiation sensors, which have been designed to integrate with medium-sized uncrewed aerial vehicles (UAVs or ‘drones’). This development opens the door to wider applications of gamma-ray spectrometry, advancing its role in diverse geospatial fields.
Analysis of minute variations in radionuclide concentrations offers unparalleled insights into soil composition. Medusa Radiometrics offers a range of drone-borne gamma radiation sensors tailored to various applications: the MS-1000 (6.7kg), the MS-700 (4.7kg) and the MS-350 (2.7kg). These sensors enable the detection of signals emitted by soil radionuclides, such as potassium (K-40), uranium (U-238), thorium (Th-232) and caesium (Cs-137).
Lightweight yet robust
In particular, the lightweight Medusa MS-350 sensor is designed to integrate with medium-sized drones, including widely used models like the DJI M350 RTK and M300 RTK. Weighing only 2.7kg, the sensor’s compact design ensures easy integration with these and other aerial platforms, while its robust construction incorporates a 350ml CsI scintillator crystal for reliable performance in demanding conditions. Built for practicality, the MS-350 simplifies data collection with integrated storage and straightforward operation, providing valuable data when paired with optimized flight parameters such as altitude and speed. Continuous feature updates further enhance its long-term usability, which contributes to making it a dependable choice for professionals in the field.
Broader geospatial application of gamma-ray spectrometry
Thanks to its extensive compatibility, the MS-350 brings advanced gamma-ray spectrometry capabilities to a broader range of geospatial applications. This sensor is particularly valuable in environments where traditional surveying techniques prove inadequate. Previously hazardous locations such as rocky landscapes, wetlands and swamps become accessible for data collection without compromising safety or efficiency. In areas with heightened risks, such as those prone to landslides or contamination, the MS-350 enables precise monitoring from a safe distance. Professionals also benefit from the sensor’s capabilities on mining sites when using drones to navigate steep pits and tailing ponds that are otherwise difficult to survey.
This innovation is already demonstrating promising potential and new possibilities for environmental analysis, as seen in data samples collected at the SPH Engineering test range in Latvia.
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