RadSIMU: Simulating Airborne Gamma-Ray Spectrometry Surveys

RadSIMU is a radiometric simulation tool designed to optimize survey planning and improve data accuracy for airborne gamma-ray spectrometry (AGRS). It models radiation intensity based on UAV flight parameters, sensor configurations, and terrain corrections, providing an efficient approach to simulate and analyze survey results before field deployment.

Key Features of RadSIMU

• Synthetic Terrain Generation: Models realistic terrains using Perlin noise and incorporates geological features like faults and ridges.
• Dual-Sensor Support: Simulates data acquisition for both radiometric and magnetic sensors, allowing integrated geophysical analysis.
• Survey Optimization: Tests different UAV heights, grid resolutions, and sampling rates to identify the best configurations for data collection.
• Terrain Correction Algorithms: Implements improved terrain correction methods to minimize biases caused by topographic variations.
• Forward Modeling and Inversion: Combines forward simulations with sensitivity analysis to predict survey outcomes and refine data interpretation.

Applications

RadSIMU is particularly useful in:

• Mineral Exploration: Identifying radioactive anomalies and subsurface features.
• Environmental Monitoring: Assessing radiation levels for safety and remediation planning.
• Survey Planning: Evaluating survey designs before execution to optimize cost and coverage.

Why RadSIMU?

The simulator provides a cost-effective and time-saving approach to plan UAV-based AGRS surveys. It ensures high-resolution data collection while addressing terrain-induced distortions, making it ideal for both academic research and industry applications.

For more details, check out my presentation on RadSIMU at the SEG Drone Summit 2024 here.