The purpose of this study is to discuss the data quality issues of an airborne geophysical survey (magnetic and radiometric) carried out in the 1970s in Algeria, and propose a convincing (compelling) solution to a complex noise problem that mainly affects the radiometric data. The quality of the collected radiometric data is moderate due to technological limitations, the use of uncalibrated gamma-ray spectrometer, and no background noise estimation procedure was implemented during the survey. The measurements present a serious signal-to-noise problem that alters the radiometric signatures of the soil and prevents better recovery of some geological signal. We motivate our study using a case example integrating gamma-ray spectrometric and magnetic data of the Tahifet region in the Central Hoggar area (southern Algeria). The datasets were corrected, gridded and filtered to visualize the radiometric and magnetic features and to define geological boundaries based on gamma-ray spectrometric responses. The obtained geophysical images were combined with published 1:200,000 geological maps to improve the geological knowledge of the region and to provide valuable information for the study of some poorly mapped structural and geological features.