Project
Power plant emissions quatifications
Objective
This proposal aims to leverage deep learning techniques, specifically neural networks, to enhance the accuracy of emission quantification from XCO2 images provided by OCO2/3 satellites.
Outcome
A methodology to estimate emission flux from satellite concentration observations and research paper (conference or journal).
Apply By Date 24 May 2024
Students 2 / 1
Duration 3 months
Mentor Kamal Das
Tools-Technologies
Platform
College
All College