Decoderation of satellite images of water protection zones using artificial intelligence system

Abstract

The work is devoted to the application of an artificial intelligence system to assess violations of the norms of environmental water protection strips along the Dnieper and several middle rivers in the Dnipropetrovsk region. The use of artificial intelligence allows you to form vector layers of agricultural fields located in the zone of water protection strips, as well as the field of the building line along the banks of rivers, elements of which violate the norms of the distance to water bodies.
Diagnostics and forecasting of situations using aerospace technologies involves the use of a set of models of ecosystem objects in the intelligent system of environmental protection and territories with varying degrees of environmental threats to objects. This approach allows you to perform spatially distributed assessment of environmental risk and diagnostics of the ecological situation in ecosystems.
The methodology for applying aerospace technologies to solve environmental problems using an artificial intelligence system allows for the integration of environmental monitoring data from various observation sources: stationary observation points, ground-based mobile complexes, remotely piloted aircraft, and space-based remote sensing systems.
The use of aerospace technologies in environmental safety management using artificial intelligence systems involves the following stages: identification of risk factors, risk assessment, risk management in the ecosystem. Formalization of tasks in the field of environmental monitoring using artificial intelligent systems with the use of aerospace technologies takes into account: geology and subsoil resources (including groundwater), hydrology and surface water resources, forest resources and plant cover, impacts on the environment, wildlife, atmospheric air, precipitation and snow cover, communication facilities, agriculture, use and development of territories.