The objective of Remote Measurements Calibration (RMC) method is to minimize systematic errors through an appropriate scaling procedure. A new method for RMC has been developed. This method solves the problems of observability, multiplicity of solutions, and ambiguity of reference points associated with the already existing method proposed by Adibi et al. [6-9]. The new algorithm uses the concepts of the simulated annealing and the matroid tree to identify and minimize the number of RTUs (Remote Terminal Units) required to observe the system. After field calibration, these RTUs provide measurements that are used to estimate the whole state of the system. These estimates are then returned as a reference for remote calibrating the remaining RTUs. The calibration coefficients are estimated by means of the Least Median of Squares (LMS) estimator. The procedure results in the reduction of the cost associated with field calibration.