This　paper　aimed　to　present　the　geometric　correction　of　a　hybrid　system　data　of　an　airborne　which　is　equipped　with　Global　Navigation　Satellite　System　(GNSS),　Inertial　Measurement　Unit　(IMU),　optical　camera,　and　a　LiDAR.　For　a　realistic　representation　of　a　geographic　area　by　combining　optical　and　LiDAR　data,　captured　with　airborne　system,　we　need,　first　of　all,　to　geometrically　correct　sensors　data,　the　optical　(passive)　and　the　LiDAR　(active).　Due　to　the　high　resolution　of　the　captured　images　that　cover　the　study　area　in　Maghagha　city,　Egypt,　more　than　500　images　were　used,　and　each　image　has　more　than　400　MBs　in　size.　The　need　for　automatic　processing　is　considered　the　best　way　of　tackling　these　large　volumes　of　satellite　images.　The　proposed　Automated　GCP-based　Geometric　Correction　(AGGC)　method　provides　accurate　and　rapid　processing　of　these　massive　amounts　of　data　more　than　the　manual　GC　method　that　implements　Least-Squares　Fitting　(LSF)　algorithm.　For　validation,　ground　truth　was　used,　and　data　given　by　GNSS　measurement.　The　experimental　results　indicate　that　this　proposed　method　improves　the　overall　accuracy.　Our　work　is　not　only　limited　to　Maghagha　city,　but　it　can　also　be　applied　on　any　new　coming　satellite　images　in　any　part　of　the　world.　©　2022　IEEE.