The basic sense of the concept of remote monitoring consists in connection in system of means of data gathering, methods of their processing, mathematical models of natural objects, computer implementers of algorithms and models with a wide spectrum of service maintenance at visualization of results of monitoring. It is obvious that complex research of the given land and remote measurements can raise reliability of estimations of parameters of natural systems and solve a problem of planning of these measurements. Application of means of remote monitoring in many cases is connected with acceptance of the statistical decision on presence on a surveyed part of studied space of this or that phenomenon. One of features of conditions of gathering of the information for such decision is the impossibility of reception statistical samples great volumes. Therefore working out and research of optimum algorithms of distinction of the casual signals characterized by samples of the limited volume, in the conditions of parametrical aprioristic indefinite are necessary. One of the important features for the detection and classification of phenomena on the sea surface of the sea is a “spottiness” of the sea surface. Therefore the study of the statistical characteristics of “spottiness” is important. In this paper the analysis of the statistical characteristics of “spot- tiness” for certain areas of the Pacific ocean. These statistical characteristics were determined for the most informative thresholds.