In　this　paper,　the　issue　of　distributed　adaptive　finite-time　fault-tolerant　cooperative　control　(FT-FTCC)　problem　is　investigated　for　multiple　unmanned　aerial　vehicles　(UAVs)　and　unmanned　ground　vehicles　(UGVs)　with　unknown　parameter　uncertainties,　actuator　faults,　input　saturation　and　external　disturbances.　Starting　from　the　dynamic　models　of　the　UAVs　and　UGVs,　an　unified　control　model　is　presented.　Then,　a　sliding-mode　estimator　is　presented　to　estimate　the　position　of　the　leader　for　the　followers　which　only　uses　the　information　from　neighbours.　Next,　a　distributed　adaptive　FT-FTCC　scheme,　which　can　also　deal　with　the　uncertainties,　actuator　faults,　input　saturation　and　disturbances,　is　proposed　by　utilising　disturbance　observers　and　neural　networks.　Based　on　Lyapunov　function　approach,　the　tracking　errors　of　all　followers　subject　to　the　pre-defined　desired　positions　are　uniformly　ultimately　bounded.　Finally,　simulations　are　given　to　validate　the　efficiency　of　the　developed　FT-FTCC　scheme.