The output of a remote sensing system is usually an image representing the scene being observed. A further necessary step of image analysis and interpretation is required in order to extract useful information for the GIS from the image. Remote sensing is technology of acquiring information about material objects, area, or phenomenon, without coming into physical contact with them. The value of a GIS is directly related to the quality and currency of its internal data. Remote sensing offers a suite of tools for quickly creating current, consistent datasets for input to a GIS. We can say that remote sensing is a young branch of terrestrial measurements. In the past years, remote sensing has made great progress, given that the first remote studying and recording methods were mentioned four or five decades ago.  The research work on the land surface performed in air and outer space with remote sensing methods provides most valuable information for various fields of activity such as agriculture, silviculture, geology, pedology, hydrology, cartography, natural resource prospection and valuation, environment (soil, water and air) monitorisation etc. The chief objective of the thesis is to create the methodological framework for the use of satellite data in creating a GIS of soil, farmland and cadastre resources for a better management of agricultural, cadastre and pedological activities. Of special value are the results obtained by the recording, transmitting, processing and interpreting of remote sensing data. They provide new ways of investigation in terrestrial measurements and other fields as well. Remote sensing and GIS allows permanent direct access to pedologic and agriculture  information at different times, without altering the state of the surface.

GIS; remote sensing; vectorisation

Presentation: oral