NU State-of-the-Art AI Machine and Deep Learning, Spectral Matching and GEOBIA Models for Remote Sensing-based Methane Emission Mapping using Hyper- and Multi-Spectral Satellite Imagery for Petroleum, Gas and Mining Industry in the Caspian Sea Region

Bayramov, Emil (PI)

School of Mining and Geosciences

Project: FDCRGP

Grant Program

Faculty Development Competitive Research Grants Program 2025-2027

Project Description

Collaborative Decision Making and Awareness Raising Tool for Quantitative Risk Assessment, Environmental and Social Protection of the Caspian Sea Region against Methane Emission

Status	Active
Effective start/end date	2/4/25 → 12/31/27

Keywords

Methane Emission
Geospatial
Remote Sensing
Deep Learning
Spectral Matching
GEOBIA
Hyperspectral
Multispectral

NU State-of-the-Art AI Machine and Deep Learning, Spectral Matching and GEOBIA Models for Remote Sensing-based Methane Emission Mapping using Hyper- and Multi-Spectral Satellite Imagery for Petroleum, Gas and Mining Industry in the Caspian Sea Region

Project Details

Grant Program

Project Description

Keywords

Fingerprint