An adaptive technology geoinformation monitoring of the environment

The basic scheme of collection and processing of the information in geoinformation monitoring system recognizes that effective monitoring of investigated object is possible under complex use of methods of simulation modeling, collection and processing of the information. One of the basic tasks of geoinformation monitoring of an environment is automation of data processing of measurements with the principal goal of the task decision for phenomena detection and classification on a water surface. The methods and algorithms of cluster and discriminant analysis for the classification and qualitative interpretation of remote sensing data characterizing the water surface are considered. The problem of classification of aquatories using the remote sensing measurements is one of important among them. Various algorithms of the theory of images recognition, statistical decisions and cluster analysis are used to solve this problem. The mathematical model describing the background characteristics of water surface spottiness is proposed. Operative software for this model is realized. The results of the software application to the satellite data processing for the Atlantic and Pacific regions are given.