  This paper addresses the problem of target detection and localisation in a
limited area using multiple coordinated agents. The swarm of Unmanned Aerial
Vehicles (UAVs) determines the position of the dispersion of stack effluents to
a gas plume in a certain production area as fast as possible, that makes the
problem challenging to model and solve, because of the time variability of the
target. Three different exploration algorithms are designed and compared.
Besides the exploration strategies, the paper reports a solution for quick
convergence towards the actual stack position once detected by one member of
the team. Both the navigation and localisation algorithms are fully distributed
and based on the consensus theory. Simulations on realistic case studies are
reported.
