Разработка методики аэрокосмического мониторинга нефтяных загрязнений на основе интеграции данных дистанционного зондирования Земли (на примере акватории азербайджанского сектора Каспийского моря)

Research on space monitoring is relevant for the sustainable development of the coastal territory of the Caspian Sea and the protection of the environment in this region. The article presents the results of the development of a methodology for aerospace monitoring of oil pollution in the shelf zone of the Azerbaijani sector of the Caspian Sea based on the integration of Earth remote sensing (ERS) data. The reliability of determining the boundaries of oil pollution zones is increased by eliminating the heterogeneity and non-monotonicity of the spectral background of images. This is achieved by using multi-zone optical and radar images obtained by different survey systems, integrating several data sets, deep learning, and implementing this approach on a cloud platform. The research results can be used in processing space survey materials to search for potentially vulnerable areas of the shelf zone of the Caspian Sea.