ANALYSIS OF LPIS ESTABLISHMENT , USING REMOTE SENSING AND OBJECT ORIENTED CLASSIFICATION OF SATELLITE IMAGES

Abstract

Land Parcel Identification System and Control with Remote Sensing (CwRS) play an important role in the system of the direct agricultural area-based payments in the EU Member States. The European Union (EU) grants financial aid to farmers, growing a certain kind of crops. In order to administrate and to control the farmer’s declarations, the EU decided to establish an Integrated Administration and Control System (IACS) in 1992. Over the years it was found, that the declared areas often do not represent the reality. As a result, the process of declaration should be improved by the establishment of a Land Parcel Identification System (LPIS), preferably based on orthophotos. The LPIS system is the key component of an IACS. It is also possibly one of the most complex IACS sub-systems, mostly due to the graphical nature of the data and the variety of different data formats involved. In order to create a pilot LPIS sistem the usefulness of the most common commercial highresolution satellite systems is discussed based on remote sensing, change detection and image classification. Classification was performed in principles of object-oriented classification, using Erdas software tool. The benefits of automatic classification process in the preparation of such a complex system are analysed together with aspects of application and implementation of LPIS in analised area of Pancevo.