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)

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

3 Article

Determination of geospatial criteria and prediction of potential areas for porphyry copper deposits in Kazakhstan
Shah, Z., Bayramov, E., Neafie, J., Seltmann, R. & Rahnama, Z., 2025, In: Frontiers in Earth Science.
Research output: Contribution to journal › Article › peer-review

Open Access
Assessing socio-economic and natural vulnerability to oil spills: a case study of Azerbaijan’s Caspian shoreline
Neafie, J., Albakassova, M. & Bayramov, E., 2024, In: International Journal of Water Resources Development.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)
Quantitative assessment of urban surface deformation risks from tectonic and seismic activities using multitemporal microwave satellite remote sensing: a case study of Almaty city and its surroundings in Kazakhstan
Bayramov, E., Sydyk, N., Nurakynov, S., Yelisseyeva, A., Neafie, J. & Aliyeva, S., 2024, In: Frontiers in Earth Science.
Research output: Contribution to journal › Article › peer-review

Open Access

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

Fingerprint

Determination of geospatial criteria and prediction of potential areas for porphyry copper deposits in Kazakhstan

Assessing socio-economic and natural vulnerability to oil spills: a case study of Azerbaijan’s Caspian shoreline

Quantitative assessment of urban surface deformation risks from tectonic and seismic activities using multitemporal microwave satellite remote sensing: a case study of Almaty city and its surroundings in Kazakhstan

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

Fingerprint

Research output

Determination of geospatial criteria and prediction of potential areas for porphyry copper deposits in Kazakhstan

Assessing socio-economic and natural vulnerability to oil spills: a case study of Azerbaijan’s Caspian shoreline

Quantitative assessment of urban surface deformation risks from tectonic and seismic activities using multitemporal microwave satellite remote sensing: a case study of Almaty city and its surroundings in Kazakhstan