*This paper investigates the sensitivity of target geolocalization by a team of two UA to orbit coordination. Using an uncertain, deterministic target model, a non-dimensional optimality criterion based on the Cramer Rao Lower Bound of the geolocalization problem is defined. Assuming a minimum allowable stand-off distance between the UA and the target, the optimal sensing configuration is specific by two parameters, allowing for a general sensitivity study using parameter sweeps of the deviation from the optimal values of the range of the UA to the target and their transverse separation in a polar coordinate system fixed on the target. Although the optimal tracking configuration is straightforward to calculate, orbit coordination to maintain this configuration is often infeasible given limitations on UA dynamics, motion of the target vehicle, and background wind, thus strategies that trade angular separation for standoff distance must be used. The sensitivity analysis of the optimal configuration is extended to orbit coordination over a finite time horizon for static and constant-velocity target models. Three orbit coordination strategies – one that maintains the specified angular separation while allowing range to the target to vary, one that maintains the optimal range while allowing angular separation to vary, and one that allows both angular separation and range to vary – are compared against an ideal strategy that maintains the optimal configuration for all time. The sensitivity analysis performed here shows that different orbit coordination strategies should be applied in different sensor regimes. However, policies that maintain the optimal standoff distance while allowing the angular separation to vary are more robust over the entire set of possible sensor characteristics than approaches that maintain optimal angular separation at the expense of relative range.