Abstract
Certain amount temporal changes occur on the surface of the Earth. Usage of the various observation and monitoring techniques makes possible to determine this changes. Moreover by analyzing them it is possible to improve and prevent any natural or anthropogenic disaster. One of the problems of our planet is soil contamination with oil waste. Pollution of soil and vegetation occurs from different reasons. It might be arising leakage associated with piping disruption, contamination as a result of transportation etc. This article discusses methods for timely monitoring and analysis of the earth’s surface to determine oil pollution using Remote Sensing data and tools of Geoinformation Technologies. For that Change Detection analyses and Object based Image analyses (OBIA) were done. Further the database of contaminated zones of oilfields was created. In this work were used Sentinel-2a image data which provided by European Space Agency and it is available for everyone. The oilfields Zhetybai and Uzen were chosen as the study areas.
Keywords: support vector machine, eCognition, ArcGIS, multiresolution segmentation, supervised classification.