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A study advancing radiometric mapping in Australia by applying machine learning and deep learning to enhance potassium concentration predictions from airborne gamma-ray spectrometric surveys. The research compares traditional interpolation methods with Random Forest, XGBoost, and deep learning models, using a dataset integrated with 25 geospatial layers. It was presented at the IGARSS 2025 symposium and published by Geoscience Australia Data in 2026.
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