PROCESSING SENTINEL-1 SAR DATA FOR DETECTING OIL SPILLS IN THE CASPIAN SEA USING GOOGLE EARTH ENGINE

Hydrocarbon pollution of the water surface is one of the most important environmental problems in the Caspian Sea. There are ongoing developments in the identification of contamination pollution using remote sensing data for environmental situations. In recent years, there has been a significant increase in satellite data and, consequently, an opportunity to increase the frequency of observations. The ability to handle increased amounts of data can be achieved through cloud-based processing. The purpose of this work was to update oil spill monitoring technology by utilizing advanced computing resources based on the Google Earth Engine (GEE) platform and radar satellite images Sentinel-1. An oil spill detection technology was developed by the study using only data archives available in the GEE environment.