Laboratory of Water-Ecological Processes Modeling

ABOUT THE LABORATORY
Research Direction:
-
- Modeling the propagation and transformation of oil spills at sea;
-
- Satellite monitoring of marine oil spills using deep learning technologies;
-
- Identification of oil-contaminated territories based on satellite data using AI technologies;
-
- Modeling of atmospheric processes.
Head of the laboratory
PROJECTS
- 2022-2024 : Development of a Methodology for Automated Space Monitoring of Oil Spills Using Neural Network Technologies
- 2023-2025 : Development of a method for assessing the technical condition of water facilities based on ground-space data and geospatial modeling
- 2025-2027 : The development of an artificial neural network model for the recognition of oil-contaminated areas using high-resolution remote sensing data.
- 2025-2027 : Study of the urban heat island in Almaty: monitoring, modeling and development of approaches to improve the urban climate
Сотрудники лаборатории


