Automation of marine and land oil pollution and natural seepage slick monitoring in the Caspian Sea and its coastal zones using deep and machine learning of microwave and optical satellite remote sensing data

Bayramov, Emil (PI)
Neafie, Jessica (Co-PI)
Duisenbiyev, Askar (Co-PI)

School of Mining and Geosciences
School of Sciences and Humanities

Project: CRP

Grant Program

Collaborative Research Program 2024-2026

Project Description

Main Title: Automation of marine and land oil pollution and natural seepage slick monitoring in the Caspian Sea and its coastal zones using deep and machine learning of microwave and optical satellite remote sensing data

Subtitle: NU collaborative role for optimized, simplified and cost reduced environmental oil pollution risk assessment in the Caspian Sea

Short title	NU collaborative role for optimized, simplified and cost reduced environmental oil pollution risk assessment in the Caspian Sea
Status	Active
Effective start/end date	1/1/24 → 12/31/26

Keywords

Remote Sensing
GIS
Geospatial
Oil slick
Microwave
Radar
Optical

Automation of marine and land oil pollution and natural seepage slick monitoring in the Caspian Sea and its coastal zones using deep and machine learning of microwave and optical satellite remote sensing data

Project Details

Grant Program

Project Description

Keywords

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